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Decentralized vs Centralized Pharmacist Treatment of Patients With Atrial Fibrillation Managed With Direct Oral Anticoagulants

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Centralization of pharmacy services for anticoagulants increased access to care without impacting adherence or adverse events.

In the U.S. about 2.7 to 6.1 million people have atrial fibrillation (AF).1 This condition affects the rhythm of the heart, causes blood in the heart to become stagnant, and puts patients at high risk for developing a systemic embolism, particularly a stroke.1 Recent studies have shown that AF accounts for at least 15% of all strokes in the U.S. and 36% of strokes in people aged > 80 years.2

For patients aged > 60 years, the gold standard of long-term anticoagulation for reducing the risk of stroke has been oral vitamin K antagonist (warfarin) therapy.2 Although overwhelming evidence exists that supports the use of warfarin in these patients, warfarin is a narrow therapeutic index medication that requires frequent laboratory monitoring of international normalized ratio (INR) for dose titration guidance. There is also strong evidence that pharmacist-run anticoagulation clinics have improved patient-centered outcomes in patients prescribed warfarin.3-5

Direct oral anticoagulants (DOACs) are recently approved oral medications used as alternatives to warfarin for anticoagulation in AF. Direct oral anticoagulants do not require INR monitoring or any laboratory test for efficacy. In 2010, the FDA approved the first DOAC, dabigatran, for use in patients with AF. In 2011, rivaroxaban received approval for the same indication. One potential drawback of these new agents relative to warfarin is the lack of availability of a reversal agent that can be used in the event of a life-threatening bleeding event. Dabigatran is the only DOAC with an FDA-approved available reversal agent. In both 2011 and 2012, dabigatran, warfarin, and other anticoagulants topped the Institute for Safe Medicine Practice list of suspect drugs related to adverse events (AEs). These data prompted the Joint Commission to incorporate anticoagulation into the 2017 National Hospital Patient Safety Goals to improve patient outcomes and reduce harm from use of anticoagulants.6  

In early 2011, the VHA produced national guidance on the treatment of patients who receive DOACs; this guidance was updated most recently in September 2016.7 Patients who were receiving DOACs at the Ralph H. Johnson VAMC (RHJVAMC) were initially monitored by 12 primary care pharmacists at the main hospital or at community-based outpatient clinics (CBOCs). Ambulatory care pharmacists at RHJVAMC work under a scope of practice to prescribe and adjust certain classes of medications to provide the highest level of care to more than 65,000 veterans in South Carolina and Georgia. Historically at RHJVAMC, warfarin has been the anticoagulant most commonly used for AF, though dabigatran and rivaroxaban have gained in popularity after being added to the national VA formulary.  

In November 2012, for better monitoring of patient outcomes, improved efficiency of the primary care pharmacist clinics, and increased access to care in these clinics, treatment of patients prescribed DOACs was shifted to a centralized model that involved 3 anticoagulation clinical pharmacy specialists.  

Centralized pharmacy services have a small number of core team members in a specific service for a particular disease, which reduces the number of different pharmacists a patient could talk to for management of a particular condition. Centralized pharmacy services allow for streamlining anticoagulation management to a small group of individual pharmacists considered specialists in anticoagulation. This shift in management to centralized anticoagulation services was supported at RHJVAMC by findings from a study of a pharmacist-run centralized anticoagulation clinic: Patients treated by the centralized clinic were 39% less likely to experience an anticoagulation therapy complication.8  

Protocol for dabigatran follow-up and monitoring at RHJVAMC was developed by clinical and supervisory pharmacy staff, to align with national VA guidance. When a provider determines a patient is a candidate for dabigatran, an outpatient consultation is entered for the clinical pharmacy specialist to review the appropriateness of the patient selection for therapy. If the patient is eligible for therapy, the pharmacist contacts the patient to set up an initial visit to confirm selection and to provide the first dabigatran prescription and counseling. For assessments, with specific emphasis on adherence and AE monitoring, the patient is contacted 2 weeks, 1 month, 3 months, and every 6 months after the initial appointment.

Although most of the literature supports pharmacist-managed anticoagulation for patients who receive warfarin, DOACs have become more integrated into practice and more evaluated. Evidence supports pharmacists' interventions on evaluation of patient education and dosing, but there is conflicting evidence regarding pharmacists' impact on adherence after 3 months of therapy.9,10 In a larger VA study of the impact of dabigatran adherence on patient-centered outcomes, patients were mostly nonadherent to prescribed dosing.11 These studies support the need for improved adherence in patients prescribed DOACs and the need for further investigation of pharmacists' roles in improving patient outcomes.

 

 

Methods

This single-center, retrospective anticoagulant-use evaluation covered 2 study periods between November 1, 2011 and October 31, 2013. Study approval was obtained from the institutional review board of the Medical University of South Carolina and the research and development committee of RHJVAMC. The study population consisted of veterans who had a diagnosis of AF and received at least 3 outpatient prescription fills of a 30-day supply of dabigatran at RHJVAMC during either or both of the study periods. Patients were excluded if they were pregnant or planning to become pregnant or were incarcerated at any time during the study period. Dabigatran was selected because it was the first DOAC added to the local VA formulary before the start of this study.

Patients who met the inclusion criteria were separated into 2 groups based on the dates of their prescription fills. The precentralization group included patients treated by primary care pharmacists from November 1, 2011 to October 31, 2012; the postcentralization group included patients treated by anticoagulation clinical pharmacy specialists from November 1, 2012 to October 31, 2013. In each group, patients were followed for 1 year during their respective study period. For analysis, patients were included in both study periods if they received at least 3 fills of dabigatran during each period.

Medication possession ratio (MPR), which was used to measure the primary endpoint of adherence, is defined as the proportion of days a patient had dabigatran. The MPR denominator is the total number of days between the first and last prescription refill dates within the 52-week study period; the numerator is calculated by summing the days' supply for all but the last filling of the medication during each respective period. Nonadherence was defined as an MPR < 0.8 (or 80%), which has been used to define poor adherence in the literature.12 The authors calculated all patients' mean MPRs and compared them to determine statistical significance by repeated-measures linear regression. Descriptive statistics on proportion of patients in each study group with MPR < 0.8 were examined. Last, the authors performed a comparative subanalysis of median MPRs to determine whether there was an adherence difference between patients initially started on dabigatran at RHJVAMC and patients who were started on dabigatran before receiving it at RHJVAMC.

The secondary focus of this study was safety outcomes, including any bleeding event or thromboembolism within either study period. A bleeding event was defined as any major or minor bleeding event recognized through ICD-9 codes or any bleeding recorded in the patient's chart and noted during chart review, as well as any serum hemoglobin (Hgb) level decrease of ≥ to 2 g/dL during the study period. Thromboembolism was defined as a thromboembolism recognized through ICD-9 codes or any thromboembolism noted during chart review. Descriptive statistics were reported for this outcome, and a chi-square test was used to compare bleeding events between groups to determine significance.

The tertiary focus of this study was clinical efficiency as determined by number of primary care pharmacist visits during each study period. Primary care pharmacist visits were included for all primary care pharmacists in primary care clinics at the main hospital and in all 6 CBOCs.
For statistical analysis α was set at 0.05, and P < .05 was considered statistically significant. SAS Enterprise Guide software (Cary, North Carolina) was used for all statistical analyses.

Results

An initial data pull was completed from the RHJVAMC prescription records database for patients who had ≥ 3 prescriptions of dabigatran filled for treatment of AF during the study period, which yielded 65 unique patients. There were 34 patients in the precentralization group and 55 patients in the postcentralization group. Twenty-four unique patients were included in both study groups.

Mean MPR was 1.01 (range, 0.59-1.41) for the precentralization study period and 0.96 (range, 0.33-1.36) for the postcentralization period (Table 1). The difference was not statistically significant (P = .91). Number of patients considered nonadherent (MPR < 0.8) was 3 (8.82%) in the precentralization group and 8 (14.6%) in the postcentralization group.

The primary endpoint subanalysis compared the median MPRs for the patients initially started on dabigatran at RHJVAMC (de novo starts) and the patients who were started on dabigatran before receiving it at RHJVAMC (prior starts). In each group, number and percentage of patients determined to be nonadherent by MPR were evaluated as well. De novo patients received initial assessment, counseling, and a dabigatran prescription from RHJVAMC pharmacists before or during the study period, and prior patients were initially prescribed dabigatran at another VA facility or at a non-VA facility (Table 2).

 

 

Regarding safety outcomes (secondary endpoint), a bleeding event was identified in 6 (17.7%) of the precentralization patients and 7 (12.7%) of the postcentralization patients. Of the 6 precentralization events, 1 was a case of hemoptysis, 1 was a hematoma on the forehead, 1 was a lower gastrointestinal bleed (unconfirmed), 1 was retinal hemorrhaging (noted by ophthalmologist), and 2 were serum Hgb level decreases of more than 2 g/dL (neither patient required transfusion of packed red blood cells). Of the 7 postcentralization events, 1 was persistent hematochezia caused by hemorrhoids, 1 was hematuria, 1 was a hematoma, 1 was an upper gastrointestinal bleed (required blood transfusion), and 4 were serum Hgb level decreases of more than 2 g/dL (1 of the 4 required transfusion). No precentralization patient had any evidence of thromboembolism during the study period; 1 postcentralization patient had a superficial venous thromboembolism near a hematoma on the elbow.

Discussion

In this single-center, retrospective medication-use evaluation, the authors found a high rate of adherence to dabigatran before and after centralization of outpatient DOAC management by pharmacists. There was no statistically significant difference in bleeding events between the study periods, but primary care pharmacist visits increased by 108% from precentralization to postcentralization. Although the primary outcome findings did not refute the study's null hypothesis, results support implementing centralized pharmacist DOAC management to maintain a high rate of adherence and a low incidence of adverse outcomes and providing more primary care pharmacist services to increase access to care for other chronic diseases.  

Although there was no statistically significant difference in adherence rates between study periods, the 2 groups' rates were higher than the national average of 72%, as calculated by the proportion-of-days-covered (PDC) equation (median, 74%) in a 2015 large-scale study of site-level adherence in more than 5,000 VA patients.13 The authors' findings support that study's significant finding of a high rate of adherence to pharmacist-provided dabigatran treatment. This study's adherence rate also was higher than the median PDC rate reported in a 2014 study that focused on dabigatran adherence: 94% (mean, 84%; SD, 22%).11  

The RHJVAMC follows national VA guidance on pharmacist follow-up for patients who receive DOACs. This follow-up focuses on frequent counseling over the first 6 months of de novo DOAC treatment and on monitoring and assessing adherence and AEs. Although there is less laboratory monitoring for DOAC treatment than for treatment with vitamin K antagonists (eg, warfarin), telephone monitoring as described in this study has been associated with a high adherence rate and minimization of AEs. The 2014 study with the 94% median PDC rate also showed an association of decreased adherence and increased harm, including combined all-cause mortality and stroke (hazard ratio, 1.13; 95% confidence interval [CI], 1.07-1.19 per 10% decrease in PDC rate).11  

This study's subanalysis revealed no difference in adherence between patients initially started on dabigatran at RHJVAMC and patients who were started on dabigatran before receiving it at RHJVAMC. Each group had a high rate of adherence. Shore and colleagues found that most of the VA sites they surveyed (22/41) had anticoagulation clinics monitoring patients who were prescribed dabigatran.13 Pharmacist-led monitoring of adherence and AEs led to increased adherence to dabigatran treatment (relative risk, 1.25; 95% CI, 1.11-1.41), which was the standard of care at RHJVAMC throughout their entire study. Many of these factors may explain the very high rate of adherence found in the present study, specifically in comparison to previously reported national averages.  

In addition, the authors found no statistically significant difference in bleeding outcomes between the precentralization and postcentralization groups. Their incidence of bleeding was similar to the 16.6% rate reported in the package insert for dabigatran.14 Furthermore, the safety outcomes were similar for both groups in this study, which may be attributable to the quality of patient care provided by all RHJVAMC pharmacists, particularly in the setting of dabigatran management.  

Many studies have found an association between dabigatran use and an increased rate of bleeding, particularly gastrointestinal, as demonstrated in several patients in this study. Evidence of these clinically significant AEs further supports pharmacists' close monitoring to detect these AEs and working with patients' providers to determine whether an alternative anticoagulant should be used.

A significant finding of this study regarding centralization of DOAC management by pharmacists was the increased number of primary care pharmacist visits. By streamlining all anticoagulant services to anticoagulation clinical pharmacy specialists, primary care pharmacists were able to care for more veterans and increase access to care without adding staff. The centralized anticoagulation pharmacists were volunteers who held other positions within the department; they did not have to be replaced when they became anticoagulation providers. This workload reallocation helped the RHJVAMC pharmacy department increase access to care.  

 

 

Limitations

This study had several potential limitations. First, MPR, a widely studied common tool for assessing adherence, has been criticized for often being imprecise when used with short study periods.12 Another commonly used adherence measure is PDC rate, which has been reported in several large-scale studies of dabigatran therapy. The authors selected MPR for the present study because MPR calculation is more practical in the patient population and because MPR and PDC rate are predicted to yield similar results in assessments of adherence to a single medication.12 It also should be noted that both MPR and PDC rate are surrogate markers for adherence and assume adherence based on the availability of medication to the patient. Assessing adherence in a retrospective study is a challenge, as more reliable adherence assessment--for example, with use of pill counts or blister packs--is not possible. This study's retrospective design was another potential limitation, as an active intervention was not used.

In addition, this study had a small sample, likely attributable to the addition of dabigatran to the VA national formulary just months before the start of the study period. Furthermore, this study was not powered to detect significant differences in safety or efficacy outcomes. Other potential study limitations included having national VA guidance regarding follow-up periods and dabigatran prescription quantity limits during both study periods. Also, there was some potential for pharmacist-initiated refills at follow-up visits, which could falsely increase MPR. Last, the study analyzed only 1 DOAC and not the entire class of medications.  

Conclusion

Centralizing DOAC management by clinical pharmacy specialists at a single VA facility helped maintain high rates of dabigatran adherence, above the national average, and low rates of adverse outcomes were maintained in both study groups. In addition, centralization of anticoagulation services improved access to care through an increase in primary care pharmacist visits without the addition of staff. Centralization of DOAC management by pharmacists is a viable option for maintaining high rates of adherence and low rates of adverse outcomes in facilities where the goal is to achieve clinical efficiency.

References

1.  January CT, Wann LS, Alpert JS, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society [published correction appears in J Am Coll Cardiol. 2014;64(21):2305-2307. J Am Coll Cardiol. 2014;64(21):e1-e76.

2. Reiffel JA. New versus traditional approaches to oral anticoagulation in patients with atrial fibrillation. Am J Med. 2014;127(4):e15.

3. Locke C, Ravnan SL, Patel R, Uchizono JA. Reduction in warfarin adverse events requiring patient hospitalization after implementation of pharmacist-managed anticoagulation service. Pharmacotherapy. 2005;25(5):685-689.  

4. Poon IO, Lal L, Brown EN, Braun UK. The impact of pharmacist-managed oral anticoagulation therapy in older veterans. J Clin Pharm Ther. 2007;32(1):21-29.  

5. Chiquette E, Amato MG, Bussey HI. Comparison of an anticoagulation clinic with usual medical care. Arch Intern Med. 1998;158(15):1641-1647.  

6. The Joint Commission. National patient safety goals. https://www.jointcommission.org/as sets/1/6/2017_NPSG_HAP_ER.pdf. Published 2016. Accessed December 6, 2016.

7. Department of Veterans Affairs Pharmacy Benefits Management Services, Medical Advisory Panel, and VISN Pharmacist Executives. Direct oral anticoagulants (DOACs) (formerly called TSOACs) dabigatran (Pradaxa), rivaroxaban (Xarelto), and apixaban (Eliquis): Criteria for Use for Stroke Prevention in nonvalvular atrial fibrillation (AF) and Edoxaban (SAVAYSA). http://www.pbm.va.gov/PBM/clinicalguidance/criteriaforuse/Anticoagulants_Direct_Oral_DOACs_CFU_and_Algorithm_for_Nonvalvular_Atrial_Fibrillation_Sep_2016.pdf. Updated September 2016. Accessed December 6, 2016.

8. Witt DM, Sadler MA, Shanahan RL, Mazzoli G, Tillman DJ. Effect of a centralized clinical pharmacy anticoagulation service on the outcomes of anticoagulation therapy. Chest. 2005;127(5):1515-1522.  

9. Chan LL, Crumpler WL, Jacobson AK. Implementation of pharmacist-managed anticoagulation in patients receiving newer anticoagulants. Am J Health Syst Pharm. 2013;70(15):1285-1286, 1288.

10. Lee PY, Han SY, Miyahara RK. Adherence and outcomes of patients treated with dabigatran: pharmacist-managed anticoagulation clinic versus usual care. Am J Health Syst Pharm. 2013;70(13):1154-1161.

11. Shore S, Carey EP, Turakhia MP, et al. Adherence to dabigatran therapy and longitudinal patient outcomes: insights from the Veterans Health Administration. Am Heart J. 2014;167(6):810-817.

12. Martin BC, Wiley-Exley EK, Richards S, Domino ME, Carey TS, Sleath BL. Contrasting measures of adherence with simple drug use, medication switching and therapeutic duplication. Ann Pharmacother. 2009;43(1):36-44.

13. Shore S, Ho PM, Lambert-Kerzner A, et al. Site-level variation in and practices associated with dabigatran adherence. JAMA. 2015;313(14):1443-1450.

14. Pradaxa [package insert]. Ridgefield, CT: Boehringer Ingelheim Pharmaceuticals; 2015.

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Dr. Elgin is an ambulatory care clinical pharmacy specialist, and Dr. Nuhi is an ambulatory care pharmacy supervisor, both at Ralph H. Johnson VAMC in Charleston, South Carolina.

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations--including indications, contraindications, warnings, and adverse effects--before administering pharmacologic therapy to patients.

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Dr. Elgin is an ambulatory care clinical pharmacy specialist, and Dr. Nuhi is an ambulatory care pharmacy supervisor, both at Ralph H. Johnson VAMC in Charleston, South Carolina.

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The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations--including indications, contraindications, warnings, and adverse effects--before administering pharmacologic therapy to patients.

Author and Disclosure Information

Dr. Elgin is an ambulatory care clinical pharmacy specialist, and Dr. Nuhi is an ambulatory care pharmacy supervisor, both at Ralph H. Johnson VAMC in Charleston, South Carolina.

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations--including indications, contraindications, warnings, and adverse effects--before administering pharmacologic therapy to patients.

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Centralization of pharmacy services for anticoagulants increased access to care without impacting adherence or adverse events.
Centralization of pharmacy services for anticoagulants increased access to care without impacting adherence or adverse events.

In the U.S. about 2.7 to 6.1 million people have atrial fibrillation (AF).1 This condition affects the rhythm of the heart, causes blood in the heart to become stagnant, and puts patients at high risk for developing a systemic embolism, particularly a stroke.1 Recent studies have shown that AF accounts for at least 15% of all strokes in the U.S. and 36% of strokes in people aged > 80 years.2

For patients aged > 60 years, the gold standard of long-term anticoagulation for reducing the risk of stroke has been oral vitamin K antagonist (warfarin) therapy.2 Although overwhelming evidence exists that supports the use of warfarin in these patients, warfarin is a narrow therapeutic index medication that requires frequent laboratory monitoring of international normalized ratio (INR) for dose titration guidance. There is also strong evidence that pharmacist-run anticoagulation clinics have improved patient-centered outcomes in patients prescribed warfarin.3-5

Direct oral anticoagulants (DOACs) are recently approved oral medications used as alternatives to warfarin for anticoagulation in AF. Direct oral anticoagulants do not require INR monitoring or any laboratory test for efficacy. In 2010, the FDA approved the first DOAC, dabigatran, for use in patients with AF. In 2011, rivaroxaban received approval for the same indication. One potential drawback of these new agents relative to warfarin is the lack of availability of a reversal agent that can be used in the event of a life-threatening bleeding event. Dabigatran is the only DOAC with an FDA-approved available reversal agent. In both 2011 and 2012, dabigatran, warfarin, and other anticoagulants topped the Institute for Safe Medicine Practice list of suspect drugs related to adverse events (AEs). These data prompted the Joint Commission to incorporate anticoagulation into the 2017 National Hospital Patient Safety Goals to improve patient outcomes and reduce harm from use of anticoagulants.6  

In early 2011, the VHA produced national guidance on the treatment of patients who receive DOACs; this guidance was updated most recently in September 2016.7 Patients who were receiving DOACs at the Ralph H. Johnson VAMC (RHJVAMC) were initially monitored by 12 primary care pharmacists at the main hospital or at community-based outpatient clinics (CBOCs). Ambulatory care pharmacists at RHJVAMC work under a scope of practice to prescribe and adjust certain classes of medications to provide the highest level of care to more than 65,000 veterans in South Carolina and Georgia. Historically at RHJVAMC, warfarin has been the anticoagulant most commonly used for AF, though dabigatran and rivaroxaban have gained in popularity after being added to the national VA formulary.  

In November 2012, for better monitoring of patient outcomes, improved efficiency of the primary care pharmacist clinics, and increased access to care in these clinics, treatment of patients prescribed DOACs was shifted to a centralized model that involved 3 anticoagulation clinical pharmacy specialists.  

Centralized pharmacy services have a small number of core team members in a specific service for a particular disease, which reduces the number of different pharmacists a patient could talk to for management of a particular condition. Centralized pharmacy services allow for streamlining anticoagulation management to a small group of individual pharmacists considered specialists in anticoagulation. This shift in management to centralized anticoagulation services was supported at RHJVAMC by findings from a study of a pharmacist-run centralized anticoagulation clinic: Patients treated by the centralized clinic were 39% less likely to experience an anticoagulation therapy complication.8  

Protocol for dabigatran follow-up and monitoring at RHJVAMC was developed by clinical and supervisory pharmacy staff, to align with national VA guidance. When a provider determines a patient is a candidate for dabigatran, an outpatient consultation is entered for the clinical pharmacy specialist to review the appropriateness of the patient selection for therapy. If the patient is eligible for therapy, the pharmacist contacts the patient to set up an initial visit to confirm selection and to provide the first dabigatran prescription and counseling. For assessments, with specific emphasis on adherence and AE monitoring, the patient is contacted 2 weeks, 1 month, 3 months, and every 6 months after the initial appointment.

Although most of the literature supports pharmacist-managed anticoagulation for patients who receive warfarin, DOACs have become more integrated into practice and more evaluated. Evidence supports pharmacists' interventions on evaluation of patient education and dosing, but there is conflicting evidence regarding pharmacists' impact on adherence after 3 months of therapy.9,10 In a larger VA study of the impact of dabigatran adherence on patient-centered outcomes, patients were mostly nonadherent to prescribed dosing.11 These studies support the need for improved adherence in patients prescribed DOACs and the need for further investigation of pharmacists' roles in improving patient outcomes.

 

 

Methods

This single-center, retrospective anticoagulant-use evaluation covered 2 study periods between November 1, 2011 and October 31, 2013. Study approval was obtained from the institutional review board of the Medical University of South Carolina and the research and development committee of RHJVAMC. The study population consisted of veterans who had a diagnosis of AF and received at least 3 outpatient prescription fills of a 30-day supply of dabigatran at RHJVAMC during either or both of the study periods. Patients were excluded if they were pregnant or planning to become pregnant or were incarcerated at any time during the study period. Dabigatran was selected because it was the first DOAC added to the local VA formulary before the start of this study.

Patients who met the inclusion criteria were separated into 2 groups based on the dates of their prescription fills. The precentralization group included patients treated by primary care pharmacists from November 1, 2011 to October 31, 2012; the postcentralization group included patients treated by anticoagulation clinical pharmacy specialists from November 1, 2012 to October 31, 2013. In each group, patients were followed for 1 year during their respective study period. For analysis, patients were included in both study periods if they received at least 3 fills of dabigatran during each period.

Medication possession ratio (MPR), which was used to measure the primary endpoint of adherence, is defined as the proportion of days a patient had dabigatran. The MPR denominator is the total number of days between the first and last prescription refill dates within the 52-week study period; the numerator is calculated by summing the days' supply for all but the last filling of the medication during each respective period. Nonadherence was defined as an MPR < 0.8 (or 80%), which has been used to define poor adherence in the literature.12 The authors calculated all patients' mean MPRs and compared them to determine statistical significance by repeated-measures linear regression. Descriptive statistics on proportion of patients in each study group with MPR < 0.8 were examined. Last, the authors performed a comparative subanalysis of median MPRs to determine whether there was an adherence difference between patients initially started on dabigatran at RHJVAMC and patients who were started on dabigatran before receiving it at RHJVAMC.

The secondary focus of this study was safety outcomes, including any bleeding event or thromboembolism within either study period. A bleeding event was defined as any major or minor bleeding event recognized through ICD-9 codes or any bleeding recorded in the patient's chart and noted during chart review, as well as any serum hemoglobin (Hgb) level decrease of ≥ to 2 g/dL during the study period. Thromboembolism was defined as a thromboembolism recognized through ICD-9 codes or any thromboembolism noted during chart review. Descriptive statistics were reported for this outcome, and a chi-square test was used to compare bleeding events between groups to determine significance.

The tertiary focus of this study was clinical efficiency as determined by number of primary care pharmacist visits during each study period. Primary care pharmacist visits were included for all primary care pharmacists in primary care clinics at the main hospital and in all 6 CBOCs.
For statistical analysis α was set at 0.05, and P < .05 was considered statistically significant. SAS Enterprise Guide software (Cary, North Carolina) was used for all statistical analyses.

Results

An initial data pull was completed from the RHJVAMC prescription records database for patients who had ≥ 3 prescriptions of dabigatran filled for treatment of AF during the study period, which yielded 65 unique patients. There were 34 patients in the precentralization group and 55 patients in the postcentralization group. Twenty-four unique patients were included in both study groups.

Mean MPR was 1.01 (range, 0.59-1.41) for the precentralization study period and 0.96 (range, 0.33-1.36) for the postcentralization period (Table 1). The difference was not statistically significant (P = .91). Number of patients considered nonadherent (MPR < 0.8) was 3 (8.82%) in the precentralization group and 8 (14.6%) in the postcentralization group.

The primary endpoint subanalysis compared the median MPRs for the patients initially started on dabigatran at RHJVAMC (de novo starts) and the patients who were started on dabigatran before receiving it at RHJVAMC (prior starts). In each group, number and percentage of patients determined to be nonadherent by MPR were evaluated as well. De novo patients received initial assessment, counseling, and a dabigatran prescription from RHJVAMC pharmacists before or during the study period, and prior patients were initially prescribed dabigatran at another VA facility or at a non-VA facility (Table 2).

 

 

Regarding safety outcomes (secondary endpoint), a bleeding event was identified in 6 (17.7%) of the precentralization patients and 7 (12.7%) of the postcentralization patients. Of the 6 precentralization events, 1 was a case of hemoptysis, 1 was a hematoma on the forehead, 1 was a lower gastrointestinal bleed (unconfirmed), 1 was retinal hemorrhaging (noted by ophthalmologist), and 2 were serum Hgb level decreases of more than 2 g/dL (neither patient required transfusion of packed red blood cells). Of the 7 postcentralization events, 1 was persistent hematochezia caused by hemorrhoids, 1 was hematuria, 1 was a hematoma, 1 was an upper gastrointestinal bleed (required blood transfusion), and 4 were serum Hgb level decreases of more than 2 g/dL (1 of the 4 required transfusion). No precentralization patient had any evidence of thromboembolism during the study period; 1 postcentralization patient had a superficial venous thromboembolism near a hematoma on the elbow.

Discussion

In this single-center, retrospective medication-use evaluation, the authors found a high rate of adherence to dabigatran before and after centralization of outpatient DOAC management by pharmacists. There was no statistically significant difference in bleeding events between the study periods, but primary care pharmacist visits increased by 108% from precentralization to postcentralization. Although the primary outcome findings did not refute the study's null hypothesis, results support implementing centralized pharmacist DOAC management to maintain a high rate of adherence and a low incidence of adverse outcomes and providing more primary care pharmacist services to increase access to care for other chronic diseases.  

Although there was no statistically significant difference in adherence rates between study periods, the 2 groups' rates were higher than the national average of 72%, as calculated by the proportion-of-days-covered (PDC) equation (median, 74%) in a 2015 large-scale study of site-level adherence in more than 5,000 VA patients.13 The authors' findings support that study's significant finding of a high rate of adherence to pharmacist-provided dabigatran treatment. This study's adherence rate also was higher than the median PDC rate reported in a 2014 study that focused on dabigatran adherence: 94% (mean, 84%; SD, 22%).11  

The RHJVAMC follows national VA guidance on pharmacist follow-up for patients who receive DOACs. This follow-up focuses on frequent counseling over the first 6 months of de novo DOAC treatment and on monitoring and assessing adherence and AEs. Although there is less laboratory monitoring for DOAC treatment than for treatment with vitamin K antagonists (eg, warfarin), telephone monitoring as described in this study has been associated with a high adherence rate and minimization of AEs. The 2014 study with the 94% median PDC rate also showed an association of decreased adherence and increased harm, including combined all-cause mortality and stroke (hazard ratio, 1.13; 95% confidence interval [CI], 1.07-1.19 per 10% decrease in PDC rate).11  

This study's subanalysis revealed no difference in adherence between patients initially started on dabigatran at RHJVAMC and patients who were started on dabigatran before receiving it at RHJVAMC. Each group had a high rate of adherence. Shore and colleagues found that most of the VA sites they surveyed (22/41) had anticoagulation clinics monitoring patients who were prescribed dabigatran.13 Pharmacist-led monitoring of adherence and AEs led to increased adherence to dabigatran treatment (relative risk, 1.25; 95% CI, 1.11-1.41), which was the standard of care at RHJVAMC throughout their entire study. Many of these factors may explain the very high rate of adherence found in the present study, specifically in comparison to previously reported national averages.  

In addition, the authors found no statistically significant difference in bleeding outcomes between the precentralization and postcentralization groups. Their incidence of bleeding was similar to the 16.6% rate reported in the package insert for dabigatran.14 Furthermore, the safety outcomes were similar for both groups in this study, which may be attributable to the quality of patient care provided by all RHJVAMC pharmacists, particularly in the setting of dabigatran management.  

Many studies have found an association between dabigatran use and an increased rate of bleeding, particularly gastrointestinal, as demonstrated in several patients in this study. Evidence of these clinically significant AEs further supports pharmacists' close monitoring to detect these AEs and working with patients' providers to determine whether an alternative anticoagulant should be used.

A significant finding of this study regarding centralization of DOAC management by pharmacists was the increased number of primary care pharmacist visits. By streamlining all anticoagulant services to anticoagulation clinical pharmacy specialists, primary care pharmacists were able to care for more veterans and increase access to care without adding staff. The centralized anticoagulation pharmacists were volunteers who held other positions within the department; they did not have to be replaced when they became anticoagulation providers. This workload reallocation helped the RHJVAMC pharmacy department increase access to care.  

 

 

Limitations

This study had several potential limitations. First, MPR, a widely studied common tool for assessing adherence, has been criticized for often being imprecise when used with short study periods.12 Another commonly used adherence measure is PDC rate, which has been reported in several large-scale studies of dabigatran therapy. The authors selected MPR for the present study because MPR calculation is more practical in the patient population and because MPR and PDC rate are predicted to yield similar results in assessments of adherence to a single medication.12 It also should be noted that both MPR and PDC rate are surrogate markers for adherence and assume adherence based on the availability of medication to the patient. Assessing adherence in a retrospective study is a challenge, as more reliable adherence assessment--for example, with use of pill counts or blister packs--is not possible. This study's retrospective design was another potential limitation, as an active intervention was not used.

In addition, this study had a small sample, likely attributable to the addition of dabigatran to the VA national formulary just months before the start of the study period. Furthermore, this study was not powered to detect significant differences in safety or efficacy outcomes. Other potential study limitations included having national VA guidance regarding follow-up periods and dabigatran prescription quantity limits during both study periods. Also, there was some potential for pharmacist-initiated refills at follow-up visits, which could falsely increase MPR. Last, the study analyzed only 1 DOAC and not the entire class of medications.  

Conclusion

Centralizing DOAC management by clinical pharmacy specialists at a single VA facility helped maintain high rates of dabigatran adherence, above the national average, and low rates of adverse outcomes were maintained in both study groups. In addition, centralization of anticoagulation services improved access to care through an increase in primary care pharmacist visits without the addition of staff. Centralization of DOAC management by pharmacists is a viable option for maintaining high rates of adherence and low rates of adverse outcomes in facilities where the goal is to achieve clinical efficiency.

In the U.S. about 2.7 to 6.1 million people have atrial fibrillation (AF).1 This condition affects the rhythm of the heart, causes blood in the heart to become stagnant, and puts patients at high risk for developing a systemic embolism, particularly a stroke.1 Recent studies have shown that AF accounts for at least 15% of all strokes in the U.S. and 36% of strokes in people aged > 80 years.2

For patients aged > 60 years, the gold standard of long-term anticoagulation for reducing the risk of stroke has been oral vitamin K antagonist (warfarin) therapy.2 Although overwhelming evidence exists that supports the use of warfarin in these patients, warfarin is a narrow therapeutic index medication that requires frequent laboratory monitoring of international normalized ratio (INR) for dose titration guidance. There is also strong evidence that pharmacist-run anticoagulation clinics have improved patient-centered outcomes in patients prescribed warfarin.3-5

Direct oral anticoagulants (DOACs) are recently approved oral medications used as alternatives to warfarin for anticoagulation in AF. Direct oral anticoagulants do not require INR monitoring or any laboratory test for efficacy. In 2010, the FDA approved the first DOAC, dabigatran, for use in patients with AF. In 2011, rivaroxaban received approval for the same indication. One potential drawback of these new agents relative to warfarin is the lack of availability of a reversal agent that can be used in the event of a life-threatening bleeding event. Dabigatran is the only DOAC with an FDA-approved available reversal agent. In both 2011 and 2012, dabigatran, warfarin, and other anticoagulants topped the Institute for Safe Medicine Practice list of suspect drugs related to adverse events (AEs). These data prompted the Joint Commission to incorporate anticoagulation into the 2017 National Hospital Patient Safety Goals to improve patient outcomes and reduce harm from use of anticoagulants.6  

In early 2011, the VHA produced national guidance on the treatment of patients who receive DOACs; this guidance was updated most recently in September 2016.7 Patients who were receiving DOACs at the Ralph H. Johnson VAMC (RHJVAMC) were initially monitored by 12 primary care pharmacists at the main hospital or at community-based outpatient clinics (CBOCs). Ambulatory care pharmacists at RHJVAMC work under a scope of practice to prescribe and adjust certain classes of medications to provide the highest level of care to more than 65,000 veterans in South Carolina and Georgia. Historically at RHJVAMC, warfarin has been the anticoagulant most commonly used for AF, though dabigatran and rivaroxaban have gained in popularity after being added to the national VA formulary.  

In November 2012, for better monitoring of patient outcomes, improved efficiency of the primary care pharmacist clinics, and increased access to care in these clinics, treatment of patients prescribed DOACs was shifted to a centralized model that involved 3 anticoagulation clinical pharmacy specialists.  

Centralized pharmacy services have a small number of core team members in a specific service for a particular disease, which reduces the number of different pharmacists a patient could talk to for management of a particular condition. Centralized pharmacy services allow for streamlining anticoagulation management to a small group of individual pharmacists considered specialists in anticoagulation. This shift in management to centralized anticoagulation services was supported at RHJVAMC by findings from a study of a pharmacist-run centralized anticoagulation clinic: Patients treated by the centralized clinic were 39% less likely to experience an anticoagulation therapy complication.8  

Protocol for dabigatran follow-up and monitoring at RHJVAMC was developed by clinical and supervisory pharmacy staff, to align with national VA guidance. When a provider determines a patient is a candidate for dabigatran, an outpatient consultation is entered for the clinical pharmacy specialist to review the appropriateness of the patient selection for therapy. If the patient is eligible for therapy, the pharmacist contacts the patient to set up an initial visit to confirm selection and to provide the first dabigatran prescription and counseling. For assessments, with specific emphasis on adherence and AE monitoring, the patient is contacted 2 weeks, 1 month, 3 months, and every 6 months after the initial appointment.

Although most of the literature supports pharmacist-managed anticoagulation for patients who receive warfarin, DOACs have become more integrated into practice and more evaluated. Evidence supports pharmacists' interventions on evaluation of patient education and dosing, but there is conflicting evidence regarding pharmacists' impact on adherence after 3 months of therapy.9,10 In a larger VA study of the impact of dabigatran adherence on patient-centered outcomes, patients were mostly nonadherent to prescribed dosing.11 These studies support the need for improved adherence in patients prescribed DOACs and the need for further investigation of pharmacists' roles in improving patient outcomes.

 

 

Methods

This single-center, retrospective anticoagulant-use evaluation covered 2 study periods between November 1, 2011 and October 31, 2013. Study approval was obtained from the institutional review board of the Medical University of South Carolina and the research and development committee of RHJVAMC. The study population consisted of veterans who had a diagnosis of AF and received at least 3 outpatient prescription fills of a 30-day supply of dabigatran at RHJVAMC during either or both of the study periods. Patients were excluded if they were pregnant or planning to become pregnant or were incarcerated at any time during the study period. Dabigatran was selected because it was the first DOAC added to the local VA formulary before the start of this study.

Patients who met the inclusion criteria were separated into 2 groups based on the dates of their prescription fills. The precentralization group included patients treated by primary care pharmacists from November 1, 2011 to October 31, 2012; the postcentralization group included patients treated by anticoagulation clinical pharmacy specialists from November 1, 2012 to October 31, 2013. In each group, patients were followed for 1 year during their respective study period. For analysis, patients were included in both study periods if they received at least 3 fills of dabigatran during each period.

Medication possession ratio (MPR), which was used to measure the primary endpoint of adherence, is defined as the proportion of days a patient had dabigatran. The MPR denominator is the total number of days between the first and last prescription refill dates within the 52-week study period; the numerator is calculated by summing the days' supply for all but the last filling of the medication during each respective period. Nonadherence was defined as an MPR < 0.8 (or 80%), which has been used to define poor adherence in the literature.12 The authors calculated all patients' mean MPRs and compared them to determine statistical significance by repeated-measures linear regression. Descriptive statistics on proportion of patients in each study group with MPR < 0.8 were examined. Last, the authors performed a comparative subanalysis of median MPRs to determine whether there was an adherence difference between patients initially started on dabigatran at RHJVAMC and patients who were started on dabigatran before receiving it at RHJVAMC.

The secondary focus of this study was safety outcomes, including any bleeding event or thromboembolism within either study period. A bleeding event was defined as any major or minor bleeding event recognized through ICD-9 codes or any bleeding recorded in the patient's chart and noted during chart review, as well as any serum hemoglobin (Hgb) level decrease of ≥ to 2 g/dL during the study period. Thromboembolism was defined as a thromboembolism recognized through ICD-9 codes or any thromboembolism noted during chart review. Descriptive statistics were reported for this outcome, and a chi-square test was used to compare bleeding events between groups to determine significance.

The tertiary focus of this study was clinical efficiency as determined by number of primary care pharmacist visits during each study period. Primary care pharmacist visits were included for all primary care pharmacists in primary care clinics at the main hospital and in all 6 CBOCs.
For statistical analysis α was set at 0.05, and P < .05 was considered statistically significant. SAS Enterprise Guide software (Cary, North Carolina) was used for all statistical analyses.

Results

An initial data pull was completed from the RHJVAMC prescription records database for patients who had ≥ 3 prescriptions of dabigatran filled for treatment of AF during the study period, which yielded 65 unique patients. There were 34 patients in the precentralization group and 55 patients in the postcentralization group. Twenty-four unique patients were included in both study groups.

Mean MPR was 1.01 (range, 0.59-1.41) for the precentralization study period and 0.96 (range, 0.33-1.36) for the postcentralization period (Table 1). The difference was not statistically significant (P = .91). Number of patients considered nonadherent (MPR < 0.8) was 3 (8.82%) in the precentralization group and 8 (14.6%) in the postcentralization group.

The primary endpoint subanalysis compared the median MPRs for the patients initially started on dabigatran at RHJVAMC (de novo starts) and the patients who were started on dabigatran before receiving it at RHJVAMC (prior starts). In each group, number and percentage of patients determined to be nonadherent by MPR were evaluated as well. De novo patients received initial assessment, counseling, and a dabigatran prescription from RHJVAMC pharmacists before or during the study period, and prior patients were initially prescribed dabigatran at another VA facility or at a non-VA facility (Table 2).

 

 

Regarding safety outcomes (secondary endpoint), a bleeding event was identified in 6 (17.7%) of the precentralization patients and 7 (12.7%) of the postcentralization patients. Of the 6 precentralization events, 1 was a case of hemoptysis, 1 was a hematoma on the forehead, 1 was a lower gastrointestinal bleed (unconfirmed), 1 was retinal hemorrhaging (noted by ophthalmologist), and 2 were serum Hgb level decreases of more than 2 g/dL (neither patient required transfusion of packed red blood cells). Of the 7 postcentralization events, 1 was persistent hematochezia caused by hemorrhoids, 1 was hematuria, 1 was a hematoma, 1 was an upper gastrointestinal bleed (required blood transfusion), and 4 were serum Hgb level decreases of more than 2 g/dL (1 of the 4 required transfusion). No precentralization patient had any evidence of thromboembolism during the study period; 1 postcentralization patient had a superficial venous thromboembolism near a hematoma on the elbow.

Discussion

In this single-center, retrospective medication-use evaluation, the authors found a high rate of adherence to dabigatran before and after centralization of outpatient DOAC management by pharmacists. There was no statistically significant difference in bleeding events between the study periods, but primary care pharmacist visits increased by 108% from precentralization to postcentralization. Although the primary outcome findings did not refute the study's null hypothesis, results support implementing centralized pharmacist DOAC management to maintain a high rate of adherence and a low incidence of adverse outcomes and providing more primary care pharmacist services to increase access to care for other chronic diseases.  

Although there was no statistically significant difference in adherence rates between study periods, the 2 groups' rates were higher than the national average of 72%, as calculated by the proportion-of-days-covered (PDC) equation (median, 74%) in a 2015 large-scale study of site-level adherence in more than 5,000 VA patients.13 The authors' findings support that study's significant finding of a high rate of adherence to pharmacist-provided dabigatran treatment. This study's adherence rate also was higher than the median PDC rate reported in a 2014 study that focused on dabigatran adherence: 94% (mean, 84%; SD, 22%).11  

The RHJVAMC follows national VA guidance on pharmacist follow-up for patients who receive DOACs. This follow-up focuses on frequent counseling over the first 6 months of de novo DOAC treatment and on monitoring and assessing adherence and AEs. Although there is less laboratory monitoring for DOAC treatment than for treatment with vitamin K antagonists (eg, warfarin), telephone monitoring as described in this study has been associated with a high adherence rate and minimization of AEs. The 2014 study with the 94% median PDC rate also showed an association of decreased adherence and increased harm, including combined all-cause mortality and stroke (hazard ratio, 1.13; 95% confidence interval [CI], 1.07-1.19 per 10% decrease in PDC rate).11  

This study's subanalysis revealed no difference in adherence between patients initially started on dabigatran at RHJVAMC and patients who were started on dabigatran before receiving it at RHJVAMC. Each group had a high rate of adherence. Shore and colleagues found that most of the VA sites they surveyed (22/41) had anticoagulation clinics monitoring patients who were prescribed dabigatran.13 Pharmacist-led monitoring of adherence and AEs led to increased adherence to dabigatran treatment (relative risk, 1.25; 95% CI, 1.11-1.41), which was the standard of care at RHJVAMC throughout their entire study. Many of these factors may explain the very high rate of adherence found in the present study, specifically in comparison to previously reported national averages.  

In addition, the authors found no statistically significant difference in bleeding outcomes between the precentralization and postcentralization groups. Their incidence of bleeding was similar to the 16.6% rate reported in the package insert for dabigatran.14 Furthermore, the safety outcomes were similar for both groups in this study, which may be attributable to the quality of patient care provided by all RHJVAMC pharmacists, particularly in the setting of dabigatran management.  

Many studies have found an association between dabigatran use and an increased rate of bleeding, particularly gastrointestinal, as demonstrated in several patients in this study. Evidence of these clinically significant AEs further supports pharmacists' close monitoring to detect these AEs and working with patients' providers to determine whether an alternative anticoagulant should be used.

A significant finding of this study regarding centralization of DOAC management by pharmacists was the increased number of primary care pharmacist visits. By streamlining all anticoagulant services to anticoagulation clinical pharmacy specialists, primary care pharmacists were able to care for more veterans and increase access to care without adding staff. The centralized anticoagulation pharmacists were volunteers who held other positions within the department; they did not have to be replaced when they became anticoagulation providers. This workload reallocation helped the RHJVAMC pharmacy department increase access to care.  

 

 

Limitations

This study had several potential limitations. First, MPR, a widely studied common tool for assessing adherence, has been criticized for often being imprecise when used with short study periods.12 Another commonly used adherence measure is PDC rate, which has been reported in several large-scale studies of dabigatran therapy. The authors selected MPR for the present study because MPR calculation is more practical in the patient population and because MPR and PDC rate are predicted to yield similar results in assessments of adherence to a single medication.12 It also should be noted that both MPR and PDC rate are surrogate markers for adherence and assume adherence based on the availability of medication to the patient. Assessing adherence in a retrospective study is a challenge, as more reliable adherence assessment--for example, with use of pill counts or blister packs--is not possible. This study's retrospective design was another potential limitation, as an active intervention was not used.

In addition, this study had a small sample, likely attributable to the addition of dabigatran to the VA national formulary just months before the start of the study period. Furthermore, this study was not powered to detect significant differences in safety or efficacy outcomes. Other potential study limitations included having national VA guidance regarding follow-up periods and dabigatran prescription quantity limits during both study periods. Also, there was some potential for pharmacist-initiated refills at follow-up visits, which could falsely increase MPR. Last, the study analyzed only 1 DOAC and not the entire class of medications.  

Conclusion

Centralizing DOAC management by clinical pharmacy specialists at a single VA facility helped maintain high rates of dabigatran adherence, above the national average, and low rates of adverse outcomes were maintained in both study groups. In addition, centralization of anticoagulation services improved access to care through an increase in primary care pharmacist visits without the addition of staff. Centralization of DOAC management by pharmacists is a viable option for maintaining high rates of adherence and low rates of adverse outcomes in facilities where the goal is to achieve clinical efficiency.

References

1.  January CT, Wann LS, Alpert JS, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society [published correction appears in J Am Coll Cardiol. 2014;64(21):2305-2307. J Am Coll Cardiol. 2014;64(21):e1-e76.

2. Reiffel JA. New versus traditional approaches to oral anticoagulation in patients with atrial fibrillation. Am J Med. 2014;127(4):e15.

3. Locke C, Ravnan SL, Patel R, Uchizono JA. Reduction in warfarin adverse events requiring patient hospitalization after implementation of pharmacist-managed anticoagulation service. Pharmacotherapy. 2005;25(5):685-689.  

4. Poon IO, Lal L, Brown EN, Braun UK. The impact of pharmacist-managed oral anticoagulation therapy in older veterans. J Clin Pharm Ther. 2007;32(1):21-29.  

5. Chiquette E, Amato MG, Bussey HI. Comparison of an anticoagulation clinic with usual medical care. Arch Intern Med. 1998;158(15):1641-1647.  

6. The Joint Commission. National patient safety goals. https://www.jointcommission.org/as sets/1/6/2017_NPSG_HAP_ER.pdf. Published 2016. Accessed December 6, 2016.

7. Department of Veterans Affairs Pharmacy Benefits Management Services, Medical Advisory Panel, and VISN Pharmacist Executives. Direct oral anticoagulants (DOACs) (formerly called TSOACs) dabigatran (Pradaxa), rivaroxaban (Xarelto), and apixaban (Eliquis): Criteria for Use for Stroke Prevention in nonvalvular atrial fibrillation (AF) and Edoxaban (SAVAYSA). http://www.pbm.va.gov/PBM/clinicalguidance/criteriaforuse/Anticoagulants_Direct_Oral_DOACs_CFU_and_Algorithm_for_Nonvalvular_Atrial_Fibrillation_Sep_2016.pdf. Updated September 2016. Accessed December 6, 2016.

8. Witt DM, Sadler MA, Shanahan RL, Mazzoli G, Tillman DJ. Effect of a centralized clinical pharmacy anticoagulation service on the outcomes of anticoagulation therapy. Chest. 2005;127(5):1515-1522.  

9. Chan LL, Crumpler WL, Jacobson AK. Implementation of pharmacist-managed anticoagulation in patients receiving newer anticoagulants. Am J Health Syst Pharm. 2013;70(15):1285-1286, 1288.

10. Lee PY, Han SY, Miyahara RK. Adherence and outcomes of patients treated with dabigatran: pharmacist-managed anticoagulation clinic versus usual care. Am J Health Syst Pharm. 2013;70(13):1154-1161.

11. Shore S, Carey EP, Turakhia MP, et al. Adherence to dabigatran therapy and longitudinal patient outcomes: insights from the Veterans Health Administration. Am Heart J. 2014;167(6):810-817.

12. Martin BC, Wiley-Exley EK, Richards S, Domino ME, Carey TS, Sleath BL. Contrasting measures of adherence with simple drug use, medication switching and therapeutic duplication. Ann Pharmacother. 2009;43(1):36-44.

13. Shore S, Ho PM, Lambert-Kerzner A, et al. Site-level variation in and practices associated with dabigatran adherence. JAMA. 2015;313(14):1443-1450.

14. Pradaxa [package insert]. Ridgefield, CT: Boehringer Ingelheim Pharmaceuticals; 2015.

References

1.  January CT, Wann LS, Alpert JS, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society [published correction appears in J Am Coll Cardiol. 2014;64(21):2305-2307. J Am Coll Cardiol. 2014;64(21):e1-e76.

2. Reiffel JA. New versus traditional approaches to oral anticoagulation in patients with atrial fibrillation. Am J Med. 2014;127(4):e15.

3. Locke C, Ravnan SL, Patel R, Uchizono JA. Reduction in warfarin adverse events requiring patient hospitalization after implementation of pharmacist-managed anticoagulation service. Pharmacotherapy. 2005;25(5):685-689.  

4. Poon IO, Lal L, Brown EN, Braun UK. The impact of pharmacist-managed oral anticoagulation therapy in older veterans. J Clin Pharm Ther. 2007;32(1):21-29.  

5. Chiquette E, Amato MG, Bussey HI. Comparison of an anticoagulation clinic with usual medical care. Arch Intern Med. 1998;158(15):1641-1647.  

6. The Joint Commission. National patient safety goals. https://www.jointcommission.org/as sets/1/6/2017_NPSG_HAP_ER.pdf. Published 2016. Accessed December 6, 2016.

7. Department of Veterans Affairs Pharmacy Benefits Management Services, Medical Advisory Panel, and VISN Pharmacist Executives. Direct oral anticoagulants (DOACs) (formerly called TSOACs) dabigatran (Pradaxa), rivaroxaban (Xarelto), and apixaban (Eliquis): Criteria for Use for Stroke Prevention in nonvalvular atrial fibrillation (AF) and Edoxaban (SAVAYSA). http://www.pbm.va.gov/PBM/clinicalguidance/criteriaforuse/Anticoagulants_Direct_Oral_DOACs_CFU_and_Algorithm_for_Nonvalvular_Atrial_Fibrillation_Sep_2016.pdf. Updated September 2016. Accessed December 6, 2016.

8. Witt DM, Sadler MA, Shanahan RL, Mazzoli G, Tillman DJ. Effect of a centralized clinical pharmacy anticoagulation service on the outcomes of anticoagulation therapy. Chest. 2005;127(5):1515-1522.  

9. Chan LL, Crumpler WL, Jacobson AK. Implementation of pharmacist-managed anticoagulation in patients receiving newer anticoagulants. Am J Health Syst Pharm. 2013;70(15):1285-1286, 1288.

10. Lee PY, Han SY, Miyahara RK. Adherence and outcomes of patients treated with dabigatran: pharmacist-managed anticoagulation clinic versus usual care. Am J Health Syst Pharm. 2013;70(13):1154-1161.

11. Shore S, Carey EP, Turakhia MP, et al. Adherence to dabigatran therapy and longitudinal patient outcomes: insights from the Veterans Health Administration. Am Heart J. 2014;167(6):810-817.

12. Martin BC, Wiley-Exley EK, Richards S, Domino ME, Carey TS, Sleath BL. Contrasting measures of adherence with simple drug use, medication switching and therapeutic duplication. Ann Pharmacother. 2009;43(1):36-44.

13. Shore S, Ho PM, Lambert-Kerzner A, et al. Site-level variation in and practices associated with dabigatran adherence. JAMA. 2015;313(14):1443-1450.

14. Pradaxa [package insert]. Ridgefield, CT: Boehringer Ingelheim Pharmaceuticals; 2015.

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Novel Screening Test Sparks New Ideas About Old Drugs

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Through a new screen test, researchers find ways to repurpose drugs and create combinations to combat drug-resistant bacteria.

Repurposing standard drugs and rethinking drug combinations may lead to more effective ways to combat drug-resistant bacteria, according to findings from an NIH study.

Researchers developed an assay to screen for effectiveness and used it on 5,170 drugs and other biologically active compounds. They identified 25 that suppress the growth of 2 strains of Klebsiella pneumonia (K pneumonia)  that are resistant to most antibiotics: 11 FDA-approved drugs and 14 drugs still under investigation, including antibiotics, antifungals, and antiseptics, and an antiviral, antimalarial and anticancer drug/compound.

Related: The Cost of Unused Medications

They also looked for combinations of drugs and paired newly identified drugs from the repurposing screen with a standard-of-care antibiotic that did not work by itself. They found four 2-drug combinations that work against K pneumoniae, meaning the ineffective antibiotics became active again in the presence of the second drug. Combining colistin with doxycycline, for instance, reversed the drug resistance.

They also tested 3-drug combinations against 10 common strains of multidrug-resistant bacteria and found 3 different combinations of broad-acting antibiotics that were effective. For instance, colistin-auranofin-ceftazidime and colistin-auranofin-rifabutin suppressed more than 80% growth of all 10 strains. Rifabutin-colistin-imipenem inhibited more than 75% of the strains, except 2 Acinetobacter baumannii isolates.

Related: DoD Offers ‘Drug Take Back’ Program

Their results demonstrate that their assay has potential as a real-time clinical tool, the researchers say. “The results are very promising,” said one of the investigators. “We think the test can eventually help repurpose approved drugs and other compounds and find clinically relevant drug combinations that can be approved for use in different ways that we have never used before.”

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Through a new screen test, researchers find ways to repurpose drugs and create combinations to combat drug-resistant bacteria.
Through a new screen test, researchers find ways to repurpose drugs and create combinations to combat drug-resistant bacteria.

Repurposing standard drugs and rethinking drug combinations may lead to more effective ways to combat drug-resistant bacteria, according to findings from an NIH study.

Researchers developed an assay to screen for effectiveness and used it on 5,170 drugs and other biologically active compounds. They identified 25 that suppress the growth of 2 strains of Klebsiella pneumonia (K pneumonia)  that are resistant to most antibiotics: 11 FDA-approved drugs and 14 drugs still under investigation, including antibiotics, antifungals, and antiseptics, and an antiviral, antimalarial and anticancer drug/compound.

Related: The Cost of Unused Medications

They also looked for combinations of drugs and paired newly identified drugs from the repurposing screen with a standard-of-care antibiotic that did not work by itself. They found four 2-drug combinations that work against K pneumoniae, meaning the ineffective antibiotics became active again in the presence of the second drug. Combining colistin with doxycycline, for instance, reversed the drug resistance.

They also tested 3-drug combinations against 10 common strains of multidrug-resistant bacteria and found 3 different combinations of broad-acting antibiotics that were effective. For instance, colistin-auranofin-ceftazidime and colistin-auranofin-rifabutin suppressed more than 80% growth of all 10 strains. Rifabutin-colistin-imipenem inhibited more than 75% of the strains, except 2 Acinetobacter baumannii isolates.

Related: DoD Offers ‘Drug Take Back’ Program

Their results demonstrate that their assay has potential as a real-time clinical tool, the researchers say. “The results are very promising,” said one of the investigators. “We think the test can eventually help repurpose approved drugs and other compounds and find clinically relevant drug combinations that can be approved for use in different ways that we have never used before.”

Repurposing standard drugs and rethinking drug combinations may lead to more effective ways to combat drug-resistant bacteria, according to findings from an NIH study.

Researchers developed an assay to screen for effectiveness and used it on 5,170 drugs and other biologically active compounds. They identified 25 that suppress the growth of 2 strains of Klebsiella pneumonia (K pneumonia)  that are resistant to most antibiotics: 11 FDA-approved drugs and 14 drugs still under investigation, including antibiotics, antifungals, and antiseptics, and an antiviral, antimalarial and anticancer drug/compound.

Related: The Cost of Unused Medications

They also looked for combinations of drugs and paired newly identified drugs from the repurposing screen with a standard-of-care antibiotic that did not work by itself. They found four 2-drug combinations that work against K pneumoniae, meaning the ineffective antibiotics became active again in the presence of the second drug. Combining colistin with doxycycline, for instance, reversed the drug resistance.

They also tested 3-drug combinations against 10 common strains of multidrug-resistant bacteria and found 3 different combinations of broad-acting antibiotics that were effective. For instance, colistin-auranofin-ceftazidime and colistin-auranofin-rifabutin suppressed more than 80% growth of all 10 strains. Rifabutin-colistin-imipenem inhibited more than 75% of the strains, except 2 Acinetobacter baumannii isolates.

Related: DoD Offers ‘Drug Take Back’ Program

Their results demonstrate that their assay has potential as a real-time clinical tool, the researchers say. “The results are very promising,” said one of the investigators. “We think the test can eventually help repurpose approved drugs and other compounds and find clinically relevant drug combinations that can be approved for use in different ways that we have never used before.”

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Abuse-Deterrent Opioids: What Practitioners Need to Know

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Opioid Abuse-Deterrent Formulations

The meaning of the term abuse-deterrent is often misunderstood to mean abuse-proof. The FDA defines abuse-deterrent properties as those properties expected to meaningfully deter abuse even if they do not fully prevent abuse. Abuse-deterrent properties make certain types of abuse, such as crushing in order to snort or dissolving in order to inject, more difficult or less rewarding. However, this does not mean that the product is impossible to abuse or that these properties will necessarily prevent addiction, overdose, or death.

Of note, currently marketed abuse-deterrent formulation technologies do not effectively deter one of the most common forms of opioid abuse—simply swallowing a number of intact tablets or capsules. Abuse-deterrent opioids do not reduce the risk for opioid addiction, and they carry the same warnings about the risk for addiction as do conventional opioids.

Abuse and Misuse Data

The FDA is encouraging pharmaceutical industry efforts to develop pain medicines that are more difficult to abuse and to prioritize the need for data and study methods that will help evaluate the impact of abuse-deterrent opioids on misuse and abuse in the community. To collect this important information, the FDA requires that all companies that have brand-name opioids with labeling describing abuse-deterrent properties conduct postmarketing studies to determine the impact of abuse-deterrent formulation technologies in the real world. Each company is given a time line to which they must adhere. These types of studies take several years to conduct and analyze. Data collected will include the amount prescribed for each product; adverse events related to the use, abuse, and misuse of the products; and epidemiologic data on the rates of abuse and misuse and their consequences (addiction, overdose, and death). These studies should allow the FDA to assess the impact in the community, if any, attributable to the abuse-deterrent properties.

The science of abuse deterrence is relatively new, and both the formulation technologies and the analytical, clinical, and statistical methods for evaluating those technologies ar

e rapidly evolving (Table). Prescribers should carefully review the labeling of these products for more detailed information on the routes of abuse that each product is expected to deter and review the studies that support those conclusions.

 

Key Points for Practitioners

The FDA’s work to facilitate the safe use of opioids is taking place within a larger policy framework aimed at addressing opioid abuse while ensuring appropriate access to pain treatment. The FDA has undertaken several efforts helpful to clinicians. The FDA’s Extended-Release and Long-Acting Opioid Analgesics Risk Evaluation and Mitigation Strategy (ER/LA REMS) Program is required for all companies who make these products. The program’s goal is to reduce serious adverse outcomes of inappropriate prescribing, misuse, and abuse of ER/LA opioid analgesics while maintaining patient access to pain medications. Adverse outcomes of concern include addiction, unintentional overdose, and death.

As part of the REMS, all ER/LA opioid analgesic pharmaceutical companies must provide education for prescribers of their medications through accredited continuing education activities that are supported by independent educational grants. Companies must also provide information that prescribers can use when counseling patients about the risks and benefits associated with ER/LA opioid analgesic use.

The FDA has developed core messages that are communicated to prescribers in the Blueprint for Prescriber Education. The Blueprint is directed to prescribers of ER/LA opioid analgesics but also may be relevant for other health care professionals (eg, pharmacists). Companies involved in the ER/LA Opioid Analgesics REMS Program have collaborated to implement a single shared REMS. This group provides a list of REMS-compliant continuing education activities, which can be found at http://www.er-la-opioidrems.com.

It is important for practitioners to understand that all currently approved abuse-deterrent opioid products still can be abused, and as scheduled controlled substances, they are addictive. The abuse-deterrent properties are expected to deter but do not wholly prevent abuse. Because in the end opioid medications must be able to deliver the opioid to the patient, there probably always will be potential for abuse of these products. Consequently, practitioners should counsel their patients on the following:

  • Keep medicines in a secure location out of the reach and out of sight of children and pets. Put away medicines after every use. Accidental exposure to medicine in the home is a major source of unintentional poisonings in the U.S.
  • If medicines are no longer needed, dispose of them properly. Disposing of all unused opioid analgesics reduces access to these medications by family members and household guests seeking opioids for abuse.
  • The FDA recommends returning most prescription medications through a local or U.S. Drug Enforcement Administration (DEA)-sponsored take-back program or DEA-authorized collector. For opioid analgesics, the FDA recommends immediate removal from the home by flushing them down the toilet or sink.
 

 

Opioids Action Plan

In February 2016, FDA Commissioner Robert Califf (then the deputy commissioner for medical products and tobacco) announced the FDA Opioids Action Plan. The plan focuses on policies aimed at reversing the opioid epidemic while still providing patients in pain access to effective pain relief. The FDA actions include:

  • Convening an expert advisory committee before approving any new drug application for an opioid that does not have abuse-deterrent properties;
  • Consulting with the Pediatric Advisory Committee about a framework for pediatric opioid labeling before any new labeling is approved;
  • Updating the REMS requirements for ER/LA opioid analgesics after considering the advisory committee’s recommendations from a meeting held in May 2016 and reviewing existing requirements;
  • Improving access to naloxone (by facilitating the development of an over-the-counter version of naloxone, which is currently available only by prescription, thereby making it more accessible to treat opioid overdose), and medication-assisted treatment options for patients with opioid use disorders; and
  • Supporting better pain management options, including alternative, nonaddictive treatments for pain.

The FDA is conducting research on pain measurements for conditions such as chronic low back pain, osteoarthritis, diabetic neuropathy, postherpetic neuralgia, and fibromyalgia. The FDA is also working to support the development of nonopioid options for these patients.

Consistent with the plan, in March 2016, the FDA announced that it was requiring changes to the labeling on immediate-release opioids, including additional warnings and safety information that incorporate elements similar to the ER/LA opioid analgesics labeling. Furthermore, among other steps, the FDA has contracted with the National Academy of Medicine to provide advice on how to incorporate current evidence about the public health impact of opioid use (for patients who are prescribed opioids as well as for nonpatients) into regulatory activities concerning opioids.

The FDA shares the responsibility of keeping patients safe. Working with the health care community and federal and state partners to help reduce opioid misuse and abuse and improve appropriate opioid prescribing while ensuring that patients in pain continue to have appropriate access to opioid analgesics is a top priority for the FDA and part of the targeted approach of the HHS focused on prevention, treatment, and intervention.

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Opioid Abuse-Deterrent Formulations

The meaning of the term abuse-deterrent is often misunderstood to mean abuse-proof. The FDA defines abuse-deterrent properties as those properties expected to meaningfully deter abuse even if they do not fully prevent abuse. Abuse-deterrent properties make certain types of abuse, such as crushing in order to snort or dissolving in order to inject, more difficult or less rewarding. However, this does not mean that the product is impossible to abuse or that these properties will necessarily prevent addiction, overdose, or death.

Of note, currently marketed abuse-deterrent formulation technologies do not effectively deter one of the most common forms of opioid abuse—simply swallowing a number of intact tablets or capsules. Abuse-deterrent opioids do not reduce the risk for opioid addiction, and they carry the same warnings about the risk for addiction as do conventional opioids.

Abuse and Misuse Data

The FDA is encouraging pharmaceutical industry efforts to develop pain medicines that are more difficult to abuse and to prioritize the need for data and study methods that will help evaluate the impact of abuse-deterrent opioids on misuse and abuse in the community. To collect this important information, the FDA requires that all companies that have brand-name opioids with labeling describing abuse-deterrent properties conduct postmarketing studies to determine the impact of abuse-deterrent formulation technologies in the real world. Each company is given a time line to which they must adhere. These types of studies take several years to conduct and analyze. Data collected will include the amount prescribed for each product; adverse events related to the use, abuse, and misuse of the products; and epidemiologic data on the rates of abuse and misuse and their consequences (addiction, overdose, and death). These studies should allow the FDA to assess the impact in the community, if any, attributable to the abuse-deterrent properties.

The science of abuse deterrence is relatively new, and both the formulation technologies and the analytical, clinical, and statistical methods for evaluating those technologies ar

e rapidly evolving (Table). Prescribers should carefully review the labeling of these products for more detailed information on the routes of abuse that each product is expected to deter and review the studies that support those conclusions.

 

Key Points for Practitioners

The FDA’s work to facilitate the safe use of opioids is taking place within a larger policy framework aimed at addressing opioid abuse while ensuring appropriate access to pain treatment. The FDA has undertaken several efforts helpful to clinicians. The FDA’s Extended-Release and Long-Acting Opioid Analgesics Risk Evaluation and Mitigation Strategy (ER/LA REMS) Program is required for all companies who make these products. The program’s goal is to reduce serious adverse outcomes of inappropriate prescribing, misuse, and abuse of ER/LA opioid analgesics while maintaining patient access to pain medications. Adverse outcomes of concern include addiction, unintentional overdose, and death.

As part of the REMS, all ER/LA opioid analgesic pharmaceutical companies must provide education for prescribers of their medications through accredited continuing education activities that are supported by independent educational grants. Companies must also provide information that prescribers can use when counseling patients about the risks and benefits associated with ER/LA opioid analgesic use.

The FDA has developed core messages that are communicated to prescribers in the Blueprint for Prescriber Education. The Blueprint is directed to prescribers of ER/LA opioid analgesics but also may be relevant for other health care professionals (eg, pharmacists). Companies involved in the ER/LA Opioid Analgesics REMS Program have collaborated to implement a single shared REMS. This group provides a list of REMS-compliant continuing education activities, which can be found at http://www.er-la-opioidrems.com.

It is important for practitioners to understand that all currently approved abuse-deterrent opioid products still can be abused, and as scheduled controlled substances, they are addictive. The abuse-deterrent properties are expected to deter but do not wholly prevent abuse. Because in the end opioid medications must be able to deliver the opioid to the patient, there probably always will be potential for abuse of these products. Consequently, practitioners should counsel their patients on the following:

  • Keep medicines in a secure location out of the reach and out of sight of children and pets. Put away medicines after every use. Accidental exposure to medicine in the home is a major source of unintentional poisonings in the U.S.
  • If medicines are no longer needed, dispose of them properly. Disposing of all unused opioid analgesics reduces access to these medications by family members and household guests seeking opioids for abuse.
  • The FDA recommends returning most prescription medications through a local or U.S. Drug Enforcement Administration (DEA)-sponsored take-back program or DEA-authorized collector. For opioid analgesics, the FDA recommends immediate removal from the home by flushing them down the toilet or sink.
 

 

Opioids Action Plan

In February 2016, FDA Commissioner Robert Califf (then the deputy commissioner for medical products and tobacco) announced the FDA Opioids Action Plan. The plan focuses on policies aimed at reversing the opioid epidemic while still providing patients in pain access to effective pain relief. The FDA actions include:

  • Convening an expert advisory committee before approving any new drug application for an opioid that does not have abuse-deterrent properties;
  • Consulting with the Pediatric Advisory Committee about a framework for pediatric opioid labeling before any new labeling is approved;
  • Updating the REMS requirements for ER/LA opioid analgesics after considering the advisory committee’s recommendations from a meeting held in May 2016 and reviewing existing requirements;
  • Improving access to naloxone (by facilitating the development of an over-the-counter version of naloxone, which is currently available only by prescription, thereby making it more accessible to treat opioid overdose), and medication-assisted treatment options for patients with opioid use disorders; and
  • Supporting better pain management options, including alternative, nonaddictive treatments for pain.

The FDA is conducting research on pain measurements for conditions such as chronic low back pain, osteoarthritis, diabetic neuropathy, postherpetic neuralgia, and fibromyalgia. The FDA is also working to support the development of nonopioid options for these patients.

Consistent with the plan, in March 2016, the FDA announced that it was requiring changes to the labeling on immediate-release opioids, including additional warnings and safety information that incorporate elements similar to the ER/LA opioid analgesics labeling. Furthermore, among other steps, the FDA has contracted with the National Academy of Medicine to provide advice on how to incorporate current evidence about the public health impact of opioid use (for patients who are prescribed opioids as well as for nonpatients) into regulatory activities concerning opioids.

The FDA shares the responsibility of keeping patients safe. Working with the health care community and federal and state partners to help reduce opioid misuse and abuse and improve appropriate opioid prescribing while ensuring that patients in pain continue to have appropriate access to opioid analgesics is a top priority for the FDA and part of the targeted approach of the HHS focused on prevention, treatment, and intervention.

Opioid Abuse-Deterrent Formulations

The meaning of the term abuse-deterrent is often misunderstood to mean abuse-proof. The FDA defines abuse-deterrent properties as those properties expected to meaningfully deter abuse even if they do not fully prevent abuse. Abuse-deterrent properties make certain types of abuse, such as crushing in order to snort or dissolving in order to inject, more difficult or less rewarding. However, this does not mean that the product is impossible to abuse or that these properties will necessarily prevent addiction, overdose, or death.

Of note, currently marketed abuse-deterrent formulation technologies do not effectively deter one of the most common forms of opioid abuse—simply swallowing a number of intact tablets or capsules. Abuse-deterrent opioids do not reduce the risk for opioid addiction, and they carry the same warnings about the risk for addiction as do conventional opioids.

Abuse and Misuse Data

The FDA is encouraging pharmaceutical industry efforts to develop pain medicines that are more difficult to abuse and to prioritize the need for data and study methods that will help evaluate the impact of abuse-deterrent opioids on misuse and abuse in the community. To collect this important information, the FDA requires that all companies that have brand-name opioids with labeling describing abuse-deterrent properties conduct postmarketing studies to determine the impact of abuse-deterrent formulation technologies in the real world. Each company is given a time line to which they must adhere. These types of studies take several years to conduct and analyze. Data collected will include the amount prescribed for each product; adverse events related to the use, abuse, and misuse of the products; and epidemiologic data on the rates of abuse and misuse and their consequences (addiction, overdose, and death). These studies should allow the FDA to assess the impact in the community, if any, attributable to the abuse-deterrent properties.

The science of abuse deterrence is relatively new, and both the formulation technologies and the analytical, clinical, and statistical methods for evaluating those technologies ar

e rapidly evolving (Table). Prescribers should carefully review the labeling of these products for more detailed information on the routes of abuse that each product is expected to deter and review the studies that support those conclusions.

 

Key Points for Practitioners

The FDA’s work to facilitate the safe use of opioids is taking place within a larger policy framework aimed at addressing opioid abuse while ensuring appropriate access to pain treatment. The FDA has undertaken several efforts helpful to clinicians. The FDA’s Extended-Release and Long-Acting Opioid Analgesics Risk Evaluation and Mitigation Strategy (ER/LA REMS) Program is required for all companies who make these products. The program’s goal is to reduce serious adverse outcomes of inappropriate prescribing, misuse, and abuse of ER/LA opioid analgesics while maintaining patient access to pain medications. Adverse outcomes of concern include addiction, unintentional overdose, and death.

As part of the REMS, all ER/LA opioid analgesic pharmaceutical companies must provide education for prescribers of their medications through accredited continuing education activities that are supported by independent educational grants. Companies must also provide information that prescribers can use when counseling patients about the risks and benefits associated with ER/LA opioid analgesic use.

The FDA has developed core messages that are communicated to prescribers in the Blueprint for Prescriber Education. The Blueprint is directed to prescribers of ER/LA opioid analgesics but also may be relevant for other health care professionals (eg, pharmacists). Companies involved in the ER/LA Opioid Analgesics REMS Program have collaborated to implement a single shared REMS. This group provides a list of REMS-compliant continuing education activities, which can be found at http://www.er-la-opioidrems.com.

It is important for practitioners to understand that all currently approved abuse-deterrent opioid products still can be abused, and as scheduled controlled substances, they are addictive. The abuse-deterrent properties are expected to deter but do not wholly prevent abuse. Because in the end opioid medications must be able to deliver the opioid to the patient, there probably always will be potential for abuse of these products. Consequently, practitioners should counsel their patients on the following:

  • Keep medicines in a secure location out of the reach and out of sight of children and pets. Put away medicines after every use. Accidental exposure to medicine in the home is a major source of unintentional poisonings in the U.S.
  • If medicines are no longer needed, dispose of them properly. Disposing of all unused opioid analgesics reduces access to these medications by family members and household guests seeking opioids for abuse.
  • The FDA recommends returning most prescription medications through a local or U.S. Drug Enforcement Administration (DEA)-sponsored take-back program or DEA-authorized collector. For opioid analgesics, the FDA recommends immediate removal from the home by flushing them down the toilet or sink.
 

 

Opioids Action Plan

In February 2016, FDA Commissioner Robert Califf (then the deputy commissioner for medical products and tobacco) announced the FDA Opioids Action Plan. The plan focuses on policies aimed at reversing the opioid epidemic while still providing patients in pain access to effective pain relief. The FDA actions include:

  • Convening an expert advisory committee before approving any new drug application for an opioid that does not have abuse-deterrent properties;
  • Consulting with the Pediatric Advisory Committee about a framework for pediatric opioid labeling before any new labeling is approved;
  • Updating the REMS requirements for ER/LA opioid analgesics after considering the advisory committee’s recommendations from a meeting held in May 2016 and reviewing existing requirements;
  • Improving access to naloxone (by facilitating the development of an over-the-counter version of naloxone, which is currently available only by prescription, thereby making it more accessible to treat opioid overdose), and medication-assisted treatment options for patients with opioid use disorders; and
  • Supporting better pain management options, including alternative, nonaddictive treatments for pain.

The FDA is conducting research on pain measurements for conditions such as chronic low back pain, osteoarthritis, diabetic neuropathy, postherpetic neuralgia, and fibromyalgia. The FDA is also working to support the development of nonopioid options for these patients.

Consistent with the plan, in March 2016, the FDA announced that it was requiring changes to the labeling on immediate-release opioids, including additional warnings and safety information that incorporate elements similar to the ER/LA opioid analgesics labeling. Furthermore, among other steps, the FDA has contracted with the National Academy of Medicine to provide advice on how to incorporate current evidence about the public health impact of opioid use (for patients who are prescribed opioids as well as for nonpatients) into regulatory activities concerning opioids.

The FDA shares the responsibility of keeping patients safe. Working with the health care community and federal and state partners to help reduce opioid misuse and abuse and improve appropriate opioid prescribing while ensuring that patients in pain continue to have appropriate access to opioid analgesics is a top priority for the FDA and part of the targeted approach of the HHS focused on prevention, treatment, and intervention.

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Who Overdoses at a VA Emergency Department?

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Pharmacists examine the clinical characteristics of veterans admitted to the emergency department who were treated for opioid overdose in order to improve prevention efforts and possibly lower the death rate.

Overdose deaths remain epidemic throughout the U.S. The rates of unintentional overdose deaths, increasing by 137% between 2000 and 2014, have been driven by a 4-fold increase in prescription opioid overdoses during that period.1-3

Veterans died of accidental overdose at a rate of 19.85 deaths/ 100,000 people compared with a rate of 10.49 deaths in the general population, based on 2005 data.4 There is wide state-by-state variation with the lowest age-adjusted opioid overdose death rate of 1.9 deaths/100,000 person-years among veterans in Mississippi and the highest rate in Utah of 33.9 deaths/100,000 person-years, using 2001 to 2009 data.5 These data can be compared with a crude general population overdose death rate of 10.6 deaths per 100,000 person-years in Mississippi and 18.4 deaths per 100,000 person-years in the general Utah population during that same period.6

Overdose deaths in the U.S. occur most often in persons aged 25 to 54 years.7 Older age has been associated with iatrogenic opioid overdose in hospitalized patients.8 Pulmonary, cardiovascular, and psychiatric disorders, including past or present substance use, have been associated with an increased risk of opioid overdose.9 However, veterans with substance use disorders are less likely to be prescribed opioids than are nonveterans with substance use disorders.10 Also, concomitant use of sedating medications, such as benzodiazepines (BZDs), can increase mortality from opioid overdose.11 Patients prescribed opioids for chronic pain conditions often take BZDs for various reasons.12 Veterans seem more likely to receive opioids to treat chronic pain but at lower average daily doses than the doses that nonveterans receive.10

Emergency management of life-threatening opioid overdose includes prompt administration of naloxone.13 Naloxone is FDA approved for complete or partial reversal of opioid-induced clinical effects, most critically respiratory depression.14,15 Naloxone administration in the emergency department (ED) may serve as a surrogate for an overdose event. During the study period, naloxone take-home kits were not available in the VA setting.

A 2010 ED study described demographic information and comorbidities in opioid overdose, but the study did not include veterans.16 The clinical characteristics of veterans treated for opioid overdose have not been published. Because identifying characteristics of veterans who overdose may help tailor overdose prevention efforts, the objective of this study is to describe clinical characteristics of veterans treated for opioid overdose.

Methods

A retrospective chart review and archived data study was approved by the University of Utah and VA institutional review boards, and conducted at the George E. Wahlen VAMC in Salt Lake City, Utah. This chart review included veterans who were admitted to the ED and treated with naloxone between January 1, 2009 and January 1, 2013.

The authors used the Pharmacy Benefits Management Data Manager to extract data from the VA Data Warehouse and verified the data by open chart review (Table). The following data were collected: ED visit date (overdose date); demographic information, including age, gender, and race; evidence of next-of-kin or other contact at the same address as the veteran; diagnoses based on ICD-9 codes, including sleep apnea, obesitycardiac disease, pulmonary disease, mental health diagnoses (ICD-9 codes 290-302 [wild card characters (*) included many subdiagnoses]),
cancer, and substance use disorders and/or dependencies (SUDD); tobacco use; VA-issued prescription opioid and BZD availability, including dose, fill dates, quantities dispensed, and day supplies; specialty of opioid prescriber; urine drug screening (UDS) results; and outcome of the overdose.

No standardized research criteria identify overdose in medical chart review.17 For each identified patient, the authors reviewed provider and nursing notes charted during an ED visit that included naloxone administration. The event was included as an opioid overdose when notes indicated that the veteran was unresponsive and given naloxone, which resulted in increased respirations or increased responsiveness. Cases were excluded if the reason for naloxone administration was anything other than opioid overdose.

Medical, mental health, and SUDD diagnoses were included only if the veteran had more than 3 patient care encounters (PCE) with ICD-9 codes for a specific diagnosis entered by providers. A PCE used in the electronic medical record (EMR) helps collect, manage, and display outpatient encounter data, including providers, procedure codes, and diagnostic codes. Tobacco use was extracted from health factors documented during primary care visit screenings. (Health factors help capture data entered in note templates in the EMR and can be used to query trends.) A diagnosis of obesity was based on a calculated body mass index of > 30 kg/m2 on the day of the ED visit date or the most recently charted height and weight. The type of SUDD was stratified into opioids (ICD-9 codes 304.0*), sedatives (ICD-9 code 304.1*), alcohol (ICD-9 code 303.*), and other (ICD-9 codes 304.2-305.9).

The dosage of opioids and BZDs available to a veteran was determined by using methods similar to those described by Gomes and colleagues: the dose of opioids and BZDs available based on prescriptions dispensed during the 120 days prior to the ED visit date and the dose available on the day of the ED visit date if prescription instructions were being followed.18 Prescription opioids and BZDs were converted to daily morphine equivalent dose (MED) and daily lorazepam-equivalent dose (LED), using established methods.19,20

Veterans were stratified into 4 groups based on prescribed medication availability: opioids only, BZDs only, opioids and BZDs, and neither opioids nor BZDs. The specialty of the opioid prescribers was categorized as primary care, pain specialist, surgeon, emergency specialist, or hospitalist (discharge prescription). Veteran EMRs contain a list of medications obtained outside the VA facility, referred to as non-VA prescriptions. These medications werenot included in the analysis because accuracy could not be verified.

A study author reviewed the results of any UDS performed up to 120 days before the ED visit date to determine whether the result reflected the currently prescribed prescription medications. If the UDS was positive for the prescribed opioids and/or BZDs and for any nonprescribed drug, including alcohol, the UDS was classified as not reflective. If the prescribed BZD was alprazolam, clonazepam, or lorazepam, a BZD-positive UDS was not required for the UDS to be considered reflective because of the sensitivity of the UDS BZD immunoassay
used at the George E. Wahlen VAMC clinical laboratory.21

Outcomes of the overdose were categorized as discharged, hospitalized, or deceased. Descriptive statistical analyses were performed using Microsoft Excel. Group comparisons were performed using Pearson chi-square or Student t test.

 

 

Results

The ED at the George E. Wahlen VAMC averages 64 visits per day, almost 94,000 visits within the study period. One hundred seventy ED visits between January 1, 2009 and January 1, 2013, involved naloxone administration. Ninety-two visits met the inclusion criteria of opioid overdose, representing about 0.002% of all ED visits at this facility (Figure 1). Six veterans had multiple ED visits within the study period, including 4 veterans who were in the opioid-only group.

The majority of veterans in this study were non-Hispanic white (n = 83, 90%), male (n = 88, 96%), with a mean age of 63 years. Less than 40% listed a next-of-kin or contact person living at their address.

Based on prescriptions available within 120 days before the overdose, 67 veterans (73%) possessed opioid and/or BZD prescriptions. In this group, the MED available on the day of the ED visit ranged from 7.5 mg to 830 mg. The MED was ≤ 200 mg in 71.6% and ≤ 50 mg in 34.3% of these cases. Veterans prescribed both opioids and BZDs had higher MED (average, 259 mg) available within 120 days of the ED visit than did those prescribed opioids only (average, 118 mg) (P = .015; SD, 132.9). The LED ranged from 1 mg to 12 mg for veterans with available BZDs.

 

 

Based on prescriptions available on the day of opioid overdose, 53 veterans (58%) had opioid prescriptions. The ranges of MED and LED available on the day of overdose were the same as the 120-day availability period. The average MED was 183 mg in veterans prescribed both opioids and BZDs and 126 mg in those prescribed opioids only (P = .283; SD, 168.65; Figure 2). The time between the last opioid fill date and the overdose visit date averaged 20 days (range, 0 to 28 days) in veterans prescribed opioids.

All veterans had at least 1 diagnosis that in previous studies was associated with increased risk of overdose.9,15 The most common diagnoses included cardiovascular diseases, mental health disorders, pulmonary diseases, and cancer. Other SUDDs not including tobacco use were documented in at least half the veterans with prescribed opioids and/or BZDs. No veteran in the sample had a documented history of opioid SUDD.

Hydrocodone products were available in > 50% of cases. None of the veterans were prescribed buprenorphine products; other opioids, including tramadol, comprised the remainder (Figure 3). Primary care providers prescribed 72% of opioid prescriptions, with pain specialists, discharge physicians, ED providers, and surgeons prescribing the rest. When both opioids and BZDs were available, combinations of a hydrocodone product plus clonazepam or lorazepam were most common. The time between the last opioid fill date and the overdose visit date averaged 20 days (range, 0 to 28 days) in veterans prescribed opioids.

Overall, 64% of the sample had UDS results prior to the ED visit. Of veterans prescribed opioids and/or BZDs, 53% of UDSs reflected prescribed regimens.

On the day of the ED visit, 1 death occurred. Ninety-one veterans (99%) survived the overdose; 79 veterans (86%) were hospitalized, most for < 24 hours.

Discussion

This retrospective review identified 92 veterans who were treated with naloxone in the ED for opioid overdose during a 4-year period at the George E. Wahlen VAMC. Seventy-eight cases were excluded because the reason entered in charts for naloxone administration was itching, constipation, altered mental status, or unclear documentation.

Veterans in this study were older on average than the overdose fatalities in the U.S. Opioid overdose deaths in the U.S. and in Utah occur most frequently in non-Hispanic white men aged between 35 and 54 years.7,22,23 In the 2010 Nationwide Emergency Department Sample of 136,000 opioid overdoses, of which 98% survived, most were aged 18 to 54 years.16 The older age in this study most likely reflects the age range of veterans served in the VHA; however, as more young veterans enter the VHA, the age range of overdose victims may more closely resemble the age ranges found in previous studies. Post hoc analysis showed 8 veterans (9%) with probable intentional opioid overdose based on chart review, whereas the incidence of intentional prescription drug overdose in the U.S. is 17.1%.24

In Utah, almost 93% of fatal overdoses occur at a residential location.22 Less than half the veterans in this study had a contact or next-of-kin listed as living at the same address. Although veterans may not have identified someone living with them, in many cases, it is likely another person witnessed the overdose. Relying on EMRs to identify who should receive prevention education, in addition to the veteran, may result in missed opportunities to include another person likely to witness an overdose.25 Prescribers should make a conscious effort to ask veterans to identify someone who may be able to assist with rescue efforts in the event of an overdose.

Diagnoses associated with increased risk of opioid overdose death include sleep apnea, morbid obesity, pulmonary or cardiovascular diseases, and/or a history of psychiatric disorders and SUDD.8,9,16 In a large sample of older veterans, only 64% had at least 1 medical or psychiatric diagnosis.26 Less than half the 18,000 VA primary care patients in 5 VA centers had any psychiatric condition, and < 65% had cardiovascular disease, pulmonary disease, or cancer.27 All veterans in this study had medical and psychiatric comorbidity.

In contrast, a large ED sample described by Yokell and colleagues found chronic mental conditions in 33.9%, circulatory disorders in 29.1%, and respiratory conditions in 25.6% of their sample.16 Bohnert and associates found a significantly elevated hazard ratio (HR) for any psychiatric disorder in a sample of nearly 4,500 veterans. There was variation in the HR when individual psychiatric diagnoses were broken out, with bipolar disorder having the largest HR and schizophrenia having the lowest but still elevated HR.9 In this study, individual diagnoses were not broken out because the smaller sample size could diminish the clinical significance of any apparent differences.

Edlund and colleagues found that < 8% of veterans treated with opioids for chronic noncancer pain had nonopioid SUDD.10 Bohnert and colleagues found an HR of 21.95 for overdose death among those with opioid-use disorders.9 The sample in this study had a much higher incidence of nonopioid SUDD compared with that ub the study by Edlund and colleagues, but none of the veterans in this study had a documented history of opioid use disorder. The absence of opioid use disorders in this sample is unexpected and points to a need for providers to screen for opioid use disorder whenever opioids are prescribed or renewed. If prevention practices were directed only to those with opioid SUDDs, none of the veterans in this study would have been included in those efforts. Non-SUDD providers should address the risks of opioid overdose in veterans with sleep apnea, morbid obesity, pulmonary or cardiovascular diseases, and/or a history of psychiatric disorders.

 

 

Gomes and colleagues found that > 100 mg MED available on the day of overdose doubled the risk of opioid-related mortality.18 The VA/DoD Clinical Practice Guideline for Management of Opioid Therapy for Chronic Pain identifies 200 mg MED as a threshold to define high-dose opioid therapy.28 Fulton-Kehoe and colleagues found that 28% of overdose victims were prescribed < 50 mg MED.29 In this study, the average dose available to veterans was > 100 mg MED; however, one-third of all study veterans had < 50 mg MED available. Using a threshold dose of 50 mg MED to target prevention efforts would capture only two-thirds of those who experienced overdose; a 200 mg MED threshold would exclude the majority, based on the average MED in each group in this study. Overdose education should be provided to veterans with access to any dose of opioids.

Use of BZDs with opioids may result in greater central nervous system (CNS) depression, pharmacokinetic interactions, or pharmacodynamic interactions at the µ opioid receptor.30-32 About one-third of veterans in this study were prescribed opioids and BZDs concurrently, a combination noted in about 33% of opioid overdose deaths reported by the CDC.24 Individuals taking methadone combined with BZDs have been found to have severe medical outcomes.33 If preventive efforts are targeted to those receiving opioids and other CNS depressants, such as BZDs, about half (42%) the veterans in this study would not receive a potentially life-saving message about preventing overdoses. All veterans with opioids should be educated about the additional risk of overdose posed by drug interactions with other CNS depressants.

The time since the last fill of opioid prescription ranged from 0 to 28 days. This time frame indicates that some overdoses may have occurred on the day an opioid was filled but most occurred near the end of the expected days’ supply. Because information about adherence or use of the opioid was not studied, it cannot be assumed that medication misuse is the primary reason for the overdose. Delivering prevention efforts only at the time of medication dispensing would be insufficient. Clinicians should review local and remote prescription data, including via their states’ prescription drug monitoring program when discussing the risk of overdose with veterans.

Most veterans had at least 1 UDS result in the chart. Although half the UDSs obtained reflected prescribed medications, the possibility of aberrant behaviors, which increases the risk of overdose, cannot be ruled out with the methods used in this study.34 Medication management agreements that require UDSs for veterans with chronic pain were not mandatory at the George E. Wahlen VAMC during the study period, and those used did not mandate discontinuation of opioid therapy if suspected aberrant behaviors were present.

A Utah study based on interviews of overdose victims’ next-of-kin found that 76% were concerned about victims’ aberrant behaviors, such as medication misuse, prior to the death.22 In contrast, a study of commercial and Medicaid recipients estimated medication misuse rates in
≤ 30% of the sample.35 Urine drug screening results not reflective of the prescribed regimens have been found in up to 50% of patients receiving chronic opioid therapy.

The UDS findings in this study were determined by the authors and did not capture clinical decisions or interpretations made after results were available or whether these decisions resulted in overdose prevention strategies, such as targeted education or changes in prescription availability. Targeting preventive efforts toward veterans only with UDS results suggesting medication misuse would have missed more than half the veterans in this study. Urine drug screening should be used as a clinical monitoring tool whenever opioids, BZDs, or other substances are used or prescribed.

The VA now has a nationwide program, Opioid Overdose Education and Naloxone Distribution (OEND) promoting overdose education and take-home naloxone distribution for providers and patients to prevent opioid-related overdose deaths. A national SharePoint site has been created within the VA that lists resources to support this effort.

Almost all veterans in this review survived the overdose and were hospitalized following the ED visit. Other investigators also have found that the majority (51% to 98%) of overdose victims reaching the ED survived, but fewer patients (3% to 51%) in those studies were hospitalized.16,36 It is unknown whether there are differences in risk factors associated with survived or fatal overdoses.

 

 

Limitations

Although Utah ranked third for drug overdose death rates in 2008 and had the highest death rate among veterans from 2001 to 2009, this review captured only overdoses among veterans treated during the study period at the George E. Wahlen VAMC ED.5,6 The number and characteristics of veterans during this same period who were treated for overdose in other community EDs or urgent care centers throughout Utah is unknown.

The definition of opioid and BZD dose available in this study may not represent actual use of opioids or BZDs because it was based on chart review of prescription dispensing information and UDS procedures at the George E. Wahlen VAMC, and medication misuse cannot be ruled out. This study did not evaluate specific aberrant behaviors.

Conclusion

Current overdose prevention screening efforts primarily identify patients on high-dose opioids and those with SUDD. Many veterans in this study were older than the average U.S. victims’ age, did not have SUDD, were prescribed opioid doses not considered high risk by current guidelines, were nearer the end of their medication supply, and had UDS reflective of prescribed medications. This study suggests that any veteran with access to opioids, whether prescribed or not, is at risk for an opioid overdose. Established risk factors may aid in developing overdose prevention programs, but prevention should not be limited to veterans with prescribed opioids and known risk factors. Prescribers should screen for opioid use disorder whenever opioids are prescribed and continue to screen throughout therapy. Broader screening for overdose risk is needed to avoid missing important opportunities for overdose prevention.

Acknowledgments
Gale Anderson, VISN 19 PBM Data Manager, performed initial data query for the study.

References

References

1. Rudd RA, Aleshire N, Zibbell JE, Gladden RM. Increases in drug and opioid overdose deaths—United States, 2000-2014. MMWR. 2015;64(50):1-5.

2. Compton WM, Jones CM, Baldwin GT. Relationship between nonmedical prescription-opioid use and heroin use. N Engl J Med. 2016;374(2):154-163.

3. Okie S. A flood of opioids, a rising tide of deaths. N Engl J Med. 2010;363(21):1981-1985.

4. Bohnert AS, Ilgen MA, Galea S, McCarthy JF, Blow FC. Accidental poisoning mortality among patients in the Department of Veterans Affairs Health System. Med Care. 2011;49(4):393-396.

5. Bohnert AS, Ilgen MA, Trafton JA, et al. Trends and regional variation in opioid overdose mortality among Veterans Health Administration patients, fiscal year 2001 to 2009. Clin J Pain. 2014;30(7):605-612.

6. Centers for Disease Control and Prevention. Policy impact: prescription, painkiller, overdoses. http://www.cdc.gov/drugoverdose/pdf/policyimpact-prescriptionpainkillerod-a.pdf. Published November 2011. Accessed August 25, 2016.

7. Xu J, Murphy SL, Kochanek KD, Bastian BA; Division of Vital Statistics. Deaths: final data for 2013. http://www.cdc.gov/nchs/data/nvsr/nvsr64/nvsr64_02.pdf. Published February 16, 2016. Accessed August 25, 2016.

8. The Joint Commission. Sentinel event alert issue 49: safe use of opioids in the hospital. https://www.jointcommission.org/assets/1/18/SEA_49_opioids_8_2_12_final.pdf. Published August 8, 2012. Accessed April 25, 2015.

9. Bohnert AS, Ilgen MA, Ignacio RV, McCarthy JF, Valenstein M, Blow FC. Risk of death from accidental overdose associated with psychiatric and substance use disorders. Am J Psychiatry. 2012;169(1):64-70.

10. Edlund MJ, Austen MA, Sullivan MD, et al. Patterns of opioid use for chronic noncancer pain in the Veterans Health Administration from 2009 to 2011. Pain. 2014;155:2337-2343.

11. Jann M, Kennedy WK, Lopez G. Benzodiazepines: a major component in unintentional prescription drug overdoses with opioid analgesics. J Pharm Pract. 2014;27(1):5-16.

12. McMillin G, Kusukawa N, Nelson G. Benzodiazepines.Salt Lake City, UT: ARUP Laboratories; 2012.

13. Naloxone hydrochloride [package insert].Lake Forest, IL: Hospira Inc; 2007.

14. Boyer EW. Management of opioid analgesic overdose. N Engl J Med. 2012;367(2):146-155.

15. Hoffman JR, Schriger DL, Luo JS. The empiric use of naloxone in patients with altered mental status: a reappraisal. Ann Emerg Med. 1991;20(3):246-252.

16. Yokell MA, Delgado MK, Zaller ND, Wang NE, McGowan SK, Green TC. Presentation of prescription and nonprescription opioid overdoses to US emergency departments. JAMA Intern Med. 2014;174(12):2034-2037.

17. Binswanger I, Gardner E, Gabella B, Broderick K, Glanz K. Development of case criteria to define pharmaceutical opioid and heroin overdoses in clinical records. Platform presented at: Association for Medical Education and Research in Substance Abuse 38th Annual National Conference; November 7, 2014; San Francisco, CA.

18. Gomes T, Mamdani MM, Dhalla IA, Paterson JM, Juurlink DN. Opioid dose and drug-related mortality in patients with nonmalignant pain. Arch Intern Med. 2011;171(7):686-691.

19. Jaeger TM, Lohr RH, Pankratz VS. Symptom-triggered therapy for alcohol withdrawal syndrome in medical inpatients. Mayo Clin Proc. 2001;76(7):695-701.20. Washington State Agency Medical Directors’ Group. Opioid dose clculator. http://www
.agencymeddirectors.wa.gov/Calculator/DoseCalcula tor.htm. Accessed October 10, 2016.

21. EMIT II Plus Benzodiazepine Assay [package insert]. Brea, CA: Beckman Coulter, Inc; 2010.

22. Johnson EM, Lanier WA, Merrill RM, et al. Unintentional prescription opioid-related overdose deaths: description of decedents by next of kin or best contact, Utah, 2008-2009. J Gen Intern Med. 2013;28(4):522-529.

23. Utah Department of Health. Fact sheet: prescription pain medication deaths in Utah, 2012. https://www.health.utah.gov/vipp/pdf/FactSheets/2012RxOpioidDeaths.pdf. Updated October 2013. Accessed October 10, 2016.

24. Jones CM, Mack KA, Paulozzi LJ. Pharmaceutical overdose deaths, United States, 2010. JAMA. 2013;309(7):657-659.

25. Bohnert AS, Tracy M, Galea S. Characteristics of drug users who witness many overdoses: implications for overdose prevention. Drug Alcohol Depend. 2012;120(1-3):168-173.

26. Yoon J, Zulman D, Scott JY, Maciejewski ML. Costs associated with multimorbidity among VA patients. Med Care. 2014;52(suppl 3):S31-S36.

27. Yoon J, Yano EM, Altman L, et al. Reducing costs of acute care for ambulatory care-sensitive medical conditions: the central roles of comorbid mental illness. Med Care. 2012;50(8):705-713.

28. Department of Veterans Affairs, Department of Defense. VA/DoD Clinical Practice Guideline for Management of Opioid Therapy for Chronic Pain. Guideline summary. http://www.va.gov/painmanagement/docs/cpg_opioidtherapy_summary.pdf. Published May 2010. Accessed August 25, 2016.

29. Fulton-Kehoe D, Sullivan MD, Turner JA, et al. Opioid poisonings in Washington state Medicaid: trends, dosing, and guidelines. Med Care. 2015;53(8):679-685.

30. Gudin JA, Mogali S, Jones JD, Comer SD. Risks, management, and monitoring of combination opioid, benzodiazepines, and/or alcohol use. Postgrad Med. 2013;125(4):115-130.

31. Poisnel G, Dhilly M, Le Boisselier R, Barre L, Debruyne D. Comparison of five benzodiazepine-receptor agonists on buprenorphine-induced mu-opioid receptor regulation. J Pharmacol Sci. 2009;110(1):36-46.

32. Webster LR, Cochella S, Dasgupta N, et al. An analysis of the root causes for opioid-related overdose deaths in the United States. Pain Med. 2011;12(suppl 2):S26-S35.

 

 

33. Lee SC, Klein-Schwartz W, Doyon S, Welsh C. Comparison of toxicity associated with nonmedical use of benzodiazepines with buprenorphine or methadone. Drug Alcohol Depend. 2014;138:118-123.

34. Owen GT, Burton AW, Schade CM, Passik S. Urine drug testing: current recommendations and best practices. Pain Physician. 2012;15(suppl 3):ES119–ES133.

35. Sullivan MD, Edlund MJ, Fan MY, Devries A, Brennan Braden J, Martin BC. Risks for possible and probable opioid misuse among recipients of chronic opioid therapy in commercial and medicaid insurance plans: the TROUP study. Pain. 2010;150(2):332-339.

36. Sporer KA, Firestone J, Isaacs SM. Out-of-hospital treatment of opioid overdoses in an urban setting. Acad Emerg Med. 1996;3(7):660-667.

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Dr. Clement is a clinical pharmacy specialist at the Orlando VAMC in Florida. Dr. Stock is a pharmacist at the George E. Wahlen VAMC in Salt Lake City, Utah.

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The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Dr. Clement is a clinical pharmacy specialist at the Orlando VAMC in Florida. Dr. Stock is a pharmacist at the George E. Wahlen VAMC in Salt Lake City, Utah.

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Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Dr. Clement is a clinical pharmacy specialist at the Orlando VAMC in Florida. Dr. Stock is a pharmacist at the George E. Wahlen VAMC in Salt Lake City, Utah.

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The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Pharmacists examine the clinical characteristics of veterans admitted to the emergency department who were treated for opioid overdose in order to improve prevention efforts and possibly lower the death rate.
Pharmacists examine the clinical characteristics of veterans admitted to the emergency department who were treated for opioid overdose in order to improve prevention efforts and possibly lower the death rate.

Overdose deaths remain epidemic throughout the U.S. The rates of unintentional overdose deaths, increasing by 137% between 2000 and 2014, have been driven by a 4-fold increase in prescription opioid overdoses during that period.1-3

Veterans died of accidental overdose at a rate of 19.85 deaths/ 100,000 people compared with a rate of 10.49 deaths in the general population, based on 2005 data.4 There is wide state-by-state variation with the lowest age-adjusted opioid overdose death rate of 1.9 deaths/100,000 person-years among veterans in Mississippi and the highest rate in Utah of 33.9 deaths/100,000 person-years, using 2001 to 2009 data.5 These data can be compared with a crude general population overdose death rate of 10.6 deaths per 100,000 person-years in Mississippi and 18.4 deaths per 100,000 person-years in the general Utah population during that same period.6

Overdose deaths in the U.S. occur most often in persons aged 25 to 54 years.7 Older age has been associated with iatrogenic opioid overdose in hospitalized patients.8 Pulmonary, cardiovascular, and psychiatric disorders, including past or present substance use, have been associated with an increased risk of opioid overdose.9 However, veterans with substance use disorders are less likely to be prescribed opioids than are nonveterans with substance use disorders.10 Also, concomitant use of sedating medications, such as benzodiazepines (BZDs), can increase mortality from opioid overdose.11 Patients prescribed opioids for chronic pain conditions often take BZDs for various reasons.12 Veterans seem more likely to receive opioids to treat chronic pain but at lower average daily doses than the doses that nonveterans receive.10

Emergency management of life-threatening opioid overdose includes prompt administration of naloxone.13 Naloxone is FDA approved for complete or partial reversal of opioid-induced clinical effects, most critically respiratory depression.14,15 Naloxone administration in the emergency department (ED) may serve as a surrogate for an overdose event. During the study period, naloxone take-home kits were not available in the VA setting.

A 2010 ED study described demographic information and comorbidities in opioid overdose, but the study did not include veterans.16 The clinical characteristics of veterans treated for opioid overdose have not been published. Because identifying characteristics of veterans who overdose may help tailor overdose prevention efforts, the objective of this study is to describe clinical characteristics of veterans treated for opioid overdose.

Methods

A retrospective chart review and archived data study was approved by the University of Utah and VA institutional review boards, and conducted at the George E. Wahlen VAMC in Salt Lake City, Utah. This chart review included veterans who were admitted to the ED and treated with naloxone between January 1, 2009 and January 1, 2013.

The authors used the Pharmacy Benefits Management Data Manager to extract data from the VA Data Warehouse and verified the data by open chart review (Table). The following data were collected: ED visit date (overdose date); demographic information, including age, gender, and race; evidence of next-of-kin or other contact at the same address as the veteran; diagnoses based on ICD-9 codes, including sleep apnea, obesitycardiac disease, pulmonary disease, mental health diagnoses (ICD-9 codes 290-302 [wild card characters (*) included many subdiagnoses]),
cancer, and substance use disorders and/or dependencies (SUDD); tobacco use; VA-issued prescription opioid and BZD availability, including dose, fill dates, quantities dispensed, and day supplies; specialty of opioid prescriber; urine drug screening (UDS) results; and outcome of the overdose.

No standardized research criteria identify overdose in medical chart review.17 For each identified patient, the authors reviewed provider and nursing notes charted during an ED visit that included naloxone administration. The event was included as an opioid overdose when notes indicated that the veteran was unresponsive and given naloxone, which resulted in increased respirations or increased responsiveness. Cases were excluded if the reason for naloxone administration was anything other than opioid overdose.

Medical, mental health, and SUDD diagnoses were included only if the veteran had more than 3 patient care encounters (PCE) with ICD-9 codes for a specific diagnosis entered by providers. A PCE used in the electronic medical record (EMR) helps collect, manage, and display outpatient encounter data, including providers, procedure codes, and diagnostic codes. Tobacco use was extracted from health factors documented during primary care visit screenings. (Health factors help capture data entered in note templates in the EMR and can be used to query trends.) A diagnosis of obesity was based on a calculated body mass index of > 30 kg/m2 on the day of the ED visit date or the most recently charted height and weight. The type of SUDD was stratified into opioids (ICD-9 codes 304.0*), sedatives (ICD-9 code 304.1*), alcohol (ICD-9 code 303.*), and other (ICD-9 codes 304.2-305.9).

The dosage of opioids and BZDs available to a veteran was determined by using methods similar to those described by Gomes and colleagues: the dose of opioids and BZDs available based on prescriptions dispensed during the 120 days prior to the ED visit date and the dose available on the day of the ED visit date if prescription instructions were being followed.18 Prescription opioids and BZDs were converted to daily morphine equivalent dose (MED) and daily lorazepam-equivalent dose (LED), using established methods.19,20

Veterans were stratified into 4 groups based on prescribed medication availability: opioids only, BZDs only, opioids and BZDs, and neither opioids nor BZDs. The specialty of the opioid prescribers was categorized as primary care, pain specialist, surgeon, emergency specialist, or hospitalist (discharge prescription). Veteran EMRs contain a list of medications obtained outside the VA facility, referred to as non-VA prescriptions. These medications werenot included in the analysis because accuracy could not be verified.

A study author reviewed the results of any UDS performed up to 120 days before the ED visit date to determine whether the result reflected the currently prescribed prescription medications. If the UDS was positive for the prescribed opioids and/or BZDs and for any nonprescribed drug, including alcohol, the UDS was classified as not reflective. If the prescribed BZD was alprazolam, clonazepam, or lorazepam, a BZD-positive UDS was not required for the UDS to be considered reflective because of the sensitivity of the UDS BZD immunoassay
used at the George E. Wahlen VAMC clinical laboratory.21

Outcomes of the overdose were categorized as discharged, hospitalized, or deceased. Descriptive statistical analyses were performed using Microsoft Excel. Group comparisons were performed using Pearson chi-square or Student t test.

 

 

Results

The ED at the George E. Wahlen VAMC averages 64 visits per day, almost 94,000 visits within the study period. One hundred seventy ED visits between January 1, 2009 and January 1, 2013, involved naloxone administration. Ninety-two visits met the inclusion criteria of opioid overdose, representing about 0.002% of all ED visits at this facility (Figure 1). Six veterans had multiple ED visits within the study period, including 4 veterans who were in the opioid-only group.

The majority of veterans in this study were non-Hispanic white (n = 83, 90%), male (n = 88, 96%), with a mean age of 63 years. Less than 40% listed a next-of-kin or contact person living at their address.

Based on prescriptions available within 120 days before the overdose, 67 veterans (73%) possessed opioid and/or BZD prescriptions. In this group, the MED available on the day of the ED visit ranged from 7.5 mg to 830 mg. The MED was ≤ 200 mg in 71.6% and ≤ 50 mg in 34.3% of these cases. Veterans prescribed both opioids and BZDs had higher MED (average, 259 mg) available within 120 days of the ED visit than did those prescribed opioids only (average, 118 mg) (P = .015; SD, 132.9). The LED ranged from 1 mg to 12 mg for veterans with available BZDs.

 

 

Based on prescriptions available on the day of opioid overdose, 53 veterans (58%) had opioid prescriptions. The ranges of MED and LED available on the day of overdose were the same as the 120-day availability period. The average MED was 183 mg in veterans prescribed both opioids and BZDs and 126 mg in those prescribed opioids only (P = .283; SD, 168.65; Figure 2). The time between the last opioid fill date and the overdose visit date averaged 20 days (range, 0 to 28 days) in veterans prescribed opioids.

All veterans had at least 1 diagnosis that in previous studies was associated with increased risk of overdose.9,15 The most common diagnoses included cardiovascular diseases, mental health disorders, pulmonary diseases, and cancer. Other SUDDs not including tobacco use were documented in at least half the veterans with prescribed opioids and/or BZDs. No veteran in the sample had a documented history of opioid SUDD.

Hydrocodone products were available in > 50% of cases. None of the veterans were prescribed buprenorphine products; other opioids, including tramadol, comprised the remainder (Figure 3). Primary care providers prescribed 72% of opioid prescriptions, with pain specialists, discharge physicians, ED providers, and surgeons prescribing the rest. When both opioids and BZDs were available, combinations of a hydrocodone product plus clonazepam or lorazepam were most common. The time between the last opioid fill date and the overdose visit date averaged 20 days (range, 0 to 28 days) in veterans prescribed opioids.

Overall, 64% of the sample had UDS results prior to the ED visit. Of veterans prescribed opioids and/or BZDs, 53% of UDSs reflected prescribed regimens.

On the day of the ED visit, 1 death occurred. Ninety-one veterans (99%) survived the overdose; 79 veterans (86%) were hospitalized, most for < 24 hours.

Discussion

This retrospective review identified 92 veterans who were treated with naloxone in the ED for opioid overdose during a 4-year period at the George E. Wahlen VAMC. Seventy-eight cases were excluded because the reason entered in charts for naloxone administration was itching, constipation, altered mental status, or unclear documentation.

Veterans in this study were older on average than the overdose fatalities in the U.S. Opioid overdose deaths in the U.S. and in Utah occur most frequently in non-Hispanic white men aged between 35 and 54 years.7,22,23 In the 2010 Nationwide Emergency Department Sample of 136,000 opioid overdoses, of which 98% survived, most were aged 18 to 54 years.16 The older age in this study most likely reflects the age range of veterans served in the VHA; however, as more young veterans enter the VHA, the age range of overdose victims may more closely resemble the age ranges found in previous studies. Post hoc analysis showed 8 veterans (9%) with probable intentional opioid overdose based on chart review, whereas the incidence of intentional prescription drug overdose in the U.S. is 17.1%.24

In Utah, almost 93% of fatal overdoses occur at a residential location.22 Less than half the veterans in this study had a contact or next-of-kin listed as living at the same address. Although veterans may not have identified someone living with them, in many cases, it is likely another person witnessed the overdose. Relying on EMRs to identify who should receive prevention education, in addition to the veteran, may result in missed opportunities to include another person likely to witness an overdose.25 Prescribers should make a conscious effort to ask veterans to identify someone who may be able to assist with rescue efforts in the event of an overdose.

Diagnoses associated with increased risk of opioid overdose death include sleep apnea, morbid obesity, pulmonary or cardiovascular diseases, and/or a history of psychiatric disorders and SUDD.8,9,16 In a large sample of older veterans, only 64% had at least 1 medical or psychiatric diagnosis.26 Less than half the 18,000 VA primary care patients in 5 VA centers had any psychiatric condition, and < 65% had cardiovascular disease, pulmonary disease, or cancer.27 All veterans in this study had medical and psychiatric comorbidity.

In contrast, a large ED sample described by Yokell and colleagues found chronic mental conditions in 33.9%, circulatory disorders in 29.1%, and respiratory conditions in 25.6% of their sample.16 Bohnert and associates found a significantly elevated hazard ratio (HR) for any psychiatric disorder in a sample of nearly 4,500 veterans. There was variation in the HR when individual psychiatric diagnoses were broken out, with bipolar disorder having the largest HR and schizophrenia having the lowest but still elevated HR.9 In this study, individual diagnoses were not broken out because the smaller sample size could diminish the clinical significance of any apparent differences.

Edlund and colleagues found that < 8% of veterans treated with opioids for chronic noncancer pain had nonopioid SUDD.10 Bohnert and colleagues found an HR of 21.95 for overdose death among those with opioid-use disorders.9 The sample in this study had a much higher incidence of nonopioid SUDD compared with that ub the study by Edlund and colleagues, but none of the veterans in this study had a documented history of opioid use disorder. The absence of opioid use disorders in this sample is unexpected and points to a need for providers to screen for opioid use disorder whenever opioids are prescribed or renewed. If prevention practices were directed only to those with opioid SUDDs, none of the veterans in this study would have been included in those efforts. Non-SUDD providers should address the risks of opioid overdose in veterans with sleep apnea, morbid obesity, pulmonary or cardiovascular diseases, and/or a history of psychiatric disorders.

 

 

Gomes and colleagues found that > 100 mg MED available on the day of overdose doubled the risk of opioid-related mortality.18 The VA/DoD Clinical Practice Guideline for Management of Opioid Therapy for Chronic Pain identifies 200 mg MED as a threshold to define high-dose opioid therapy.28 Fulton-Kehoe and colleagues found that 28% of overdose victims were prescribed < 50 mg MED.29 In this study, the average dose available to veterans was > 100 mg MED; however, one-third of all study veterans had < 50 mg MED available. Using a threshold dose of 50 mg MED to target prevention efforts would capture only two-thirds of those who experienced overdose; a 200 mg MED threshold would exclude the majority, based on the average MED in each group in this study. Overdose education should be provided to veterans with access to any dose of opioids.

Use of BZDs with opioids may result in greater central nervous system (CNS) depression, pharmacokinetic interactions, or pharmacodynamic interactions at the µ opioid receptor.30-32 About one-third of veterans in this study were prescribed opioids and BZDs concurrently, a combination noted in about 33% of opioid overdose deaths reported by the CDC.24 Individuals taking methadone combined with BZDs have been found to have severe medical outcomes.33 If preventive efforts are targeted to those receiving opioids and other CNS depressants, such as BZDs, about half (42%) the veterans in this study would not receive a potentially life-saving message about preventing overdoses. All veterans with opioids should be educated about the additional risk of overdose posed by drug interactions with other CNS depressants.

The time since the last fill of opioid prescription ranged from 0 to 28 days. This time frame indicates that some overdoses may have occurred on the day an opioid was filled but most occurred near the end of the expected days’ supply. Because information about adherence or use of the opioid was not studied, it cannot be assumed that medication misuse is the primary reason for the overdose. Delivering prevention efforts only at the time of medication dispensing would be insufficient. Clinicians should review local and remote prescription data, including via their states’ prescription drug monitoring program when discussing the risk of overdose with veterans.

Most veterans had at least 1 UDS result in the chart. Although half the UDSs obtained reflected prescribed medications, the possibility of aberrant behaviors, which increases the risk of overdose, cannot be ruled out with the methods used in this study.34 Medication management agreements that require UDSs for veterans with chronic pain were not mandatory at the George E. Wahlen VAMC during the study period, and those used did not mandate discontinuation of opioid therapy if suspected aberrant behaviors were present.

A Utah study based on interviews of overdose victims’ next-of-kin found that 76% were concerned about victims’ aberrant behaviors, such as medication misuse, prior to the death.22 In contrast, a study of commercial and Medicaid recipients estimated medication misuse rates in
≤ 30% of the sample.35 Urine drug screening results not reflective of the prescribed regimens have been found in up to 50% of patients receiving chronic opioid therapy.

The UDS findings in this study were determined by the authors and did not capture clinical decisions or interpretations made after results were available or whether these decisions resulted in overdose prevention strategies, such as targeted education or changes in prescription availability. Targeting preventive efforts toward veterans only with UDS results suggesting medication misuse would have missed more than half the veterans in this study. Urine drug screening should be used as a clinical monitoring tool whenever opioids, BZDs, or other substances are used or prescribed.

The VA now has a nationwide program, Opioid Overdose Education and Naloxone Distribution (OEND) promoting overdose education and take-home naloxone distribution for providers and patients to prevent opioid-related overdose deaths. A national SharePoint site has been created within the VA that lists resources to support this effort.

Almost all veterans in this review survived the overdose and were hospitalized following the ED visit. Other investigators also have found that the majority (51% to 98%) of overdose victims reaching the ED survived, but fewer patients (3% to 51%) in those studies were hospitalized.16,36 It is unknown whether there are differences in risk factors associated with survived or fatal overdoses.

 

 

Limitations

Although Utah ranked third for drug overdose death rates in 2008 and had the highest death rate among veterans from 2001 to 2009, this review captured only overdoses among veterans treated during the study period at the George E. Wahlen VAMC ED.5,6 The number and characteristics of veterans during this same period who were treated for overdose in other community EDs or urgent care centers throughout Utah is unknown.

The definition of opioid and BZD dose available in this study may not represent actual use of opioids or BZDs because it was based on chart review of prescription dispensing information and UDS procedures at the George E. Wahlen VAMC, and medication misuse cannot be ruled out. This study did not evaluate specific aberrant behaviors.

Conclusion

Current overdose prevention screening efforts primarily identify patients on high-dose opioids and those with SUDD. Many veterans in this study were older than the average U.S. victims’ age, did not have SUDD, were prescribed opioid doses not considered high risk by current guidelines, were nearer the end of their medication supply, and had UDS reflective of prescribed medications. This study suggests that any veteran with access to opioids, whether prescribed or not, is at risk for an opioid overdose. Established risk factors may aid in developing overdose prevention programs, but prevention should not be limited to veterans with prescribed opioids and known risk factors. Prescribers should screen for opioid use disorder whenever opioids are prescribed and continue to screen throughout therapy. Broader screening for overdose risk is needed to avoid missing important opportunities for overdose prevention.

Acknowledgments
Gale Anderson, VISN 19 PBM Data Manager, performed initial data query for the study.

Overdose deaths remain epidemic throughout the U.S. The rates of unintentional overdose deaths, increasing by 137% between 2000 and 2014, have been driven by a 4-fold increase in prescription opioid overdoses during that period.1-3

Veterans died of accidental overdose at a rate of 19.85 deaths/ 100,000 people compared with a rate of 10.49 deaths in the general population, based on 2005 data.4 There is wide state-by-state variation with the lowest age-adjusted opioid overdose death rate of 1.9 deaths/100,000 person-years among veterans in Mississippi and the highest rate in Utah of 33.9 deaths/100,000 person-years, using 2001 to 2009 data.5 These data can be compared with a crude general population overdose death rate of 10.6 deaths per 100,000 person-years in Mississippi and 18.4 deaths per 100,000 person-years in the general Utah population during that same period.6

Overdose deaths in the U.S. occur most often in persons aged 25 to 54 years.7 Older age has been associated with iatrogenic opioid overdose in hospitalized patients.8 Pulmonary, cardiovascular, and psychiatric disorders, including past or present substance use, have been associated with an increased risk of opioid overdose.9 However, veterans with substance use disorders are less likely to be prescribed opioids than are nonveterans with substance use disorders.10 Also, concomitant use of sedating medications, such as benzodiazepines (BZDs), can increase mortality from opioid overdose.11 Patients prescribed opioids for chronic pain conditions often take BZDs for various reasons.12 Veterans seem more likely to receive opioids to treat chronic pain but at lower average daily doses than the doses that nonveterans receive.10

Emergency management of life-threatening opioid overdose includes prompt administration of naloxone.13 Naloxone is FDA approved for complete or partial reversal of opioid-induced clinical effects, most critically respiratory depression.14,15 Naloxone administration in the emergency department (ED) may serve as a surrogate for an overdose event. During the study period, naloxone take-home kits were not available in the VA setting.

A 2010 ED study described demographic information and comorbidities in opioid overdose, but the study did not include veterans.16 The clinical characteristics of veterans treated for opioid overdose have not been published. Because identifying characteristics of veterans who overdose may help tailor overdose prevention efforts, the objective of this study is to describe clinical characteristics of veterans treated for opioid overdose.

Methods

A retrospective chart review and archived data study was approved by the University of Utah and VA institutional review boards, and conducted at the George E. Wahlen VAMC in Salt Lake City, Utah. This chart review included veterans who were admitted to the ED and treated with naloxone between January 1, 2009 and January 1, 2013.

The authors used the Pharmacy Benefits Management Data Manager to extract data from the VA Data Warehouse and verified the data by open chart review (Table). The following data were collected: ED visit date (overdose date); demographic information, including age, gender, and race; evidence of next-of-kin or other contact at the same address as the veteran; diagnoses based on ICD-9 codes, including sleep apnea, obesitycardiac disease, pulmonary disease, mental health diagnoses (ICD-9 codes 290-302 [wild card characters (*) included many subdiagnoses]),
cancer, and substance use disorders and/or dependencies (SUDD); tobacco use; VA-issued prescription opioid and BZD availability, including dose, fill dates, quantities dispensed, and day supplies; specialty of opioid prescriber; urine drug screening (UDS) results; and outcome of the overdose.

No standardized research criteria identify overdose in medical chart review.17 For each identified patient, the authors reviewed provider and nursing notes charted during an ED visit that included naloxone administration. The event was included as an opioid overdose when notes indicated that the veteran was unresponsive and given naloxone, which resulted in increased respirations or increased responsiveness. Cases were excluded if the reason for naloxone administration was anything other than opioid overdose.

Medical, mental health, and SUDD diagnoses were included only if the veteran had more than 3 patient care encounters (PCE) with ICD-9 codes for a specific diagnosis entered by providers. A PCE used in the electronic medical record (EMR) helps collect, manage, and display outpatient encounter data, including providers, procedure codes, and diagnostic codes. Tobacco use was extracted from health factors documented during primary care visit screenings. (Health factors help capture data entered in note templates in the EMR and can be used to query trends.) A diagnosis of obesity was based on a calculated body mass index of > 30 kg/m2 on the day of the ED visit date or the most recently charted height and weight. The type of SUDD was stratified into opioids (ICD-9 codes 304.0*), sedatives (ICD-9 code 304.1*), alcohol (ICD-9 code 303.*), and other (ICD-9 codes 304.2-305.9).

The dosage of opioids and BZDs available to a veteran was determined by using methods similar to those described by Gomes and colleagues: the dose of opioids and BZDs available based on prescriptions dispensed during the 120 days prior to the ED visit date and the dose available on the day of the ED visit date if prescription instructions were being followed.18 Prescription opioids and BZDs were converted to daily morphine equivalent dose (MED) and daily lorazepam-equivalent dose (LED), using established methods.19,20

Veterans were stratified into 4 groups based on prescribed medication availability: opioids only, BZDs only, opioids and BZDs, and neither opioids nor BZDs. The specialty of the opioid prescribers was categorized as primary care, pain specialist, surgeon, emergency specialist, or hospitalist (discharge prescription). Veteran EMRs contain a list of medications obtained outside the VA facility, referred to as non-VA prescriptions. These medications werenot included in the analysis because accuracy could not be verified.

A study author reviewed the results of any UDS performed up to 120 days before the ED visit date to determine whether the result reflected the currently prescribed prescription medications. If the UDS was positive for the prescribed opioids and/or BZDs and for any nonprescribed drug, including alcohol, the UDS was classified as not reflective. If the prescribed BZD was alprazolam, clonazepam, or lorazepam, a BZD-positive UDS was not required for the UDS to be considered reflective because of the sensitivity of the UDS BZD immunoassay
used at the George E. Wahlen VAMC clinical laboratory.21

Outcomes of the overdose were categorized as discharged, hospitalized, or deceased. Descriptive statistical analyses were performed using Microsoft Excel. Group comparisons were performed using Pearson chi-square or Student t test.

 

 

Results

The ED at the George E. Wahlen VAMC averages 64 visits per day, almost 94,000 visits within the study period. One hundred seventy ED visits between January 1, 2009 and January 1, 2013, involved naloxone administration. Ninety-two visits met the inclusion criteria of opioid overdose, representing about 0.002% of all ED visits at this facility (Figure 1). Six veterans had multiple ED visits within the study period, including 4 veterans who were in the opioid-only group.

The majority of veterans in this study were non-Hispanic white (n = 83, 90%), male (n = 88, 96%), with a mean age of 63 years. Less than 40% listed a next-of-kin or contact person living at their address.

Based on prescriptions available within 120 days before the overdose, 67 veterans (73%) possessed opioid and/or BZD prescriptions. In this group, the MED available on the day of the ED visit ranged from 7.5 mg to 830 mg. The MED was ≤ 200 mg in 71.6% and ≤ 50 mg in 34.3% of these cases. Veterans prescribed both opioids and BZDs had higher MED (average, 259 mg) available within 120 days of the ED visit than did those prescribed opioids only (average, 118 mg) (P = .015; SD, 132.9). The LED ranged from 1 mg to 12 mg for veterans with available BZDs.

 

 

Based on prescriptions available on the day of opioid overdose, 53 veterans (58%) had opioid prescriptions. The ranges of MED and LED available on the day of overdose were the same as the 120-day availability period. The average MED was 183 mg in veterans prescribed both opioids and BZDs and 126 mg in those prescribed opioids only (P = .283; SD, 168.65; Figure 2). The time between the last opioid fill date and the overdose visit date averaged 20 days (range, 0 to 28 days) in veterans prescribed opioids.

All veterans had at least 1 diagnosis that in previous studies was associated with increased risk of overdose.9,15 The most common diagnoses included cardiovascular diseases, mental health disorders, pulmonary diseases, and cancer. Other SUDDs not including tobacco use were documented in at least half the veterans with prescribed opioids and/or BZDs. No veteran in the sample had a documented history of opioid SUDD.

Hydrocodone products were available in > 50% of cases. None of the veterans were prescribed buprenorphine products; other opioids, including tramadol, comprised the remainder (Figure 3). Primary care providers prescribed 72% of opioid prescriptions, with pain specialists, discharge physicians, ED providers, and surgeons prescribing the rest. When both opioids and BZDs were available, combinations of a hydrocodone product plus clonazepam or lorazepam were most common. The time between the last opioid fill date and the overdose visit date averaged 20 days (range, 0 to 28 days) in veterans prescribed opioids.

Overall, 64% of the sample had UDS results prior to the ED visit. Of veterans prescribed opioids and/or BZDs, 53% of UDSs reflected prescribed regimens.

On the day of the ED visit, 1 death occurred. Ninety-one veterans (99%) survived the overdose; 79 veterans (86%) were hospitalized, most for < 24 hours.

Discussion

This retrospective review identified 92 veterans who were treated with naloxone in the ED for opioid overdose during a 4-year period at the George E. Wahlen VAMC. Seventy-eight cases were excluded because the reason entered in charts for naloxone administration was itching, constipation, altered mental status, or unclear documentation.

Veterans in this study were older on average than the overdose fatalities in the U.S. Opioid overdose deaths in the U.S. and in Utah occur most frequently in non-Hispanic white men aged between 35 and 54 years.7,22,23 In the 2010 Nationwide Emergency Department Sample of 136,000 opioid overdoses, of which 98% survived, most were aged 18 to 54 years.16 The older age in this study most likely reflects the age range of veterans served in the VHA; however, as more young veterans enter the VHA, the age range of overdose victims may more closely resemble the age ranges found in previous studies. Post hoc analysis showed 8 veterans (9%) with probable intentional opioid overdose based on chart review, whereas the incidence of intentional prescription drug overdose in the U.S. is 17.1%.24

In Utah, almost 93% of fatal overdoses occur at a residential location.22 Less than half the veterans in this study had a contact or next-of-kin listed as living at the same address. Although veterans may not have identified someone living with them, in many cases, it is likely another person witnessed the overdose. Relying on EMRs to identify who should receive prevention education, in addition to the veteran, may result in missed opportunities to include another person likely to witness an overdose.25 Prescribers should make a conscious effort to ask veterans to identify someone who may be able to assist with rescue efforts in the event of an overdose.

Diagnoses associated with increased risk of opioid overdose death include sleep apnea, morbid obesity, pulmonary or cardiovascular diseases, and/or a history of psychiatric disorders and SUDD.8,9,16 In a large sample of older veterans, only 64% had at least 1 medical or psychiatric diagnosis.26 Less than half the 18,000 VA primary care patients in 5 VA centers had any psychiatric condition, and < 65% had cardiovascular disease, pulmonary disease, or cancer.27 All veterans in this study had medical and psychiatric comorbidity.

In contrast, a large ED sample described by Yokell and colleagues found chronic mental conditions in 33.9%, circulatory disorders in 29.1%, and respiratory conditions in 25.6% of their sample.16 Bohnert and associates found a significantly elevated hazard ratio (HR) for any psychiatric disorder in a sample of nearly 4,500 veterans. There was variation in the HR when individual psychiatric diagnoses were broken out, with bipolar disorder having the largest HR and schizophrenia having the lowest but still elevated HR.9 In this study, individual diagnoses were not broken out because the smaller sample size could diminish the clinical significance of any apparent differences.

Edlund and colleagues found that < 8% of veterans treated with opioids for chronic noncancer pain had nonopioid SUDD.10 Bohnert and colleagues found an HR of 21.95 for overdose death among those with opioid-use disorders.9 The sample in this study had a much higher incidence of nonopioid SUDD compared with that ub the study by Edlund and colleagues, but none of the veterans in this study had a documented history of opioid use disorder. The absence of opioid use disorders in this sample is unexpected and points to a need for providers to screen for opioid use disorder whenever opioids are prescribed or renewed. If prevention practices were directed only to those with opioid SUDDs, none of the veterans in this study would have been included in those efforts. Non-SUDD providers should address the risks of opioid overdose in veterans with sleep apnea, morbid obesity, pulmonary or cardiovascular diseases, and/or a history of psychiatric disorders.

 

 

Gomes and colleagues found that > 100 mg MED available on the day of overdose doubled the risk of opioid-related mortality.18 The VA/DoD Clinical Practice Guideline for Management of Opioid Therapy for Chronic Pain identifies 200 mg MED as a threshold to define high-dose opioid therapy.28 Fulton-Kehoe and colleagues found that 28% of overdose victims were prescribed < 50 mg MED.29 In this study, the average dose available to veterans was > 100 mg MED; however, one-third of all study veterans had < 50 mg MED available. Using a threshold dose of 50 mg MED to target prevention efforts would capture only two-thirds of those who experienced overdose; a 200 mg MED threshold would exclude the majority, based on the average MED in each group in this study. Overdose education should be provided to veterans with access to any dose of opioids.

Use of BZDs with opioids may result in greater central nervous system (CNS) depression, pharmacokinetic interactions, or pharmacodynamic interactions at the µ opioid receptor.30-32 About one-third of veterans in this study were prescribed opioids and BZDs concurrently, a combination noted in about 33% of opioid overdose deaths reported by the CDC.24 Individuals taking methadone combined with BZDs have been found to have severe medical outcomes.33 If preventive efforts are targeted to those receiving opioids and other CNS depressants, such as BZDs, about half (42%) the veterans in this study would not receive a potentially life-saving message about preventing overdoses. All veterans with opioids should be educated about the additional risk of overdose posed by drug interactions with other CNS depressants.

The time since the last fill of opioid prescription ranged from 0 to 28 days. This time frame indicates that some overdoses may have occurred on the day an opioid was filled but most occurred near the end of the expected days’ supply. Because information about adherence or use of the opioid was not studied, it cannot be assumed that medication misuse is the primary reason for the overdose. Delivering prevention efforts only at the time of medication dispensing would be insufficient. Clinicians should review local and remote prescription data, including via their states’ prescription drug monitoring program when discussing the risk of overdose with veterans.

Most veterans had at least 1 UDS result in the chart. Although half the UDSs obtained reflected prescribed medications, the possibility of aberrant behaviors, which increases the risk of overdose, cannot be ruled out with the methods used in this study.34 Medication management agreements that require UDSs for veterans with chronic pain were not mandatory at the George E. Wahlen VAMC during the study period, and those used did not mandate discontinuation of opioid therapy if suspected aberrant behaviors were present.

A Utah study based on interviews of overdose victims’ next-of-kin found that 76% were concerned about victims’ aberrant behaviors, such as medication misuse, prior to the death.22 In contrast, a study of commercial and Medicaid recipients estimated medication misuse rates in
≤ 30% of the sample.35 Urine drug screening results not reflective of the prescribed regimens have been found in up to 50% of patients receiving chronic opioid therapy.

The UDS findings in this study were determined by the authors and did not capture clinical decisions or interpretations made after results were available or whether these decisions resulted in overdose prevention strategies, such as targeted education or changes in prescription availability. Targeting preventive efforts toward veterans only with UDS results suggesting medication misuse would have missed more than half the veterans in this study. Urine drug screening should be used as a clinical monitoring tool whenever opioids, BZDs, or other substances are used or prescribed.

The VA now has a nationwide program, Opioid Overdose Education and Naloxone Distribution (OEND) promoting overdose education and take-home naloxone distribution for providers and patients to prevent opioid-related overdose deaths. A national SharePoint site has been created within the VA that lists resources to support this effort.

Almost all veterans in this review survived the overdose and were hospitalized following the ED visit. Other investigators also have found that the majority (51% to 98%) of overdose victims reaching the ED survived, but fewer patients (3% to 51%) in those studies were hospitalized.16,36 It is unknown whether there are differences in risk factors associated with survived or fatal overdoses.

 

 

Limitations

Although Utah ranked third for drug overdose death rates in 2008 and had the highest death rate among veterans from 2001 to 2009, this review captured only overdoses among veterans treated during the study period at the George E. Wahlen VAMC ED.5,6 The number and characteristics of veterans during this same period who were treated for overdose in other community EDs or urgent care centers throughout Utah is unknown.

The definition of opioid and BZD dose available in this study may not represent actual use of opioids or BZDs because it was based on chart review of prescription dispensing information and UDS procedures at the George E. Wahlen VAMC, and medication misuse cannot be ruled out. This study did not evaluate specific aberrant behaviors.

Conclusion

Current overdose prevention screening efforts primarily identify patients on high-dose opioids and those with SUDD. Many veterans in this study were older than the average U.S. victims’ age, did not have SUDD, were prescribed opioid doses not considered high risk by current guidelines, were nearer the end of their medication supply, and had UDS reflective of prescribed medications. This study suggests that any veteran with access to opioids, whether prescribed or not, is at risk for an opioid overdose. Established risk factors may aid in developing overdose prevention programs, but prevention should not be limited to veterans with prescribed opioids and known risk factors. Prescribers should screen for opioid use disorder whenever opioids are prescribed and continue to screen throughout therapy. Broader screening for overdose risk is needed to avoid missing important opportunities for overdose prevention.

Acknowledgments
Gale Anderson, VISN 19 PBM Data Manager, performed initial data query for the study.

References

References

1. Rudd RA, Aleshire N, Zibbell JE, Gladden RM. Increases in drug and opioid overdose deaths—United States, 2000-2014. MMWR. 2015;64(50):1-5.

2. Compton WM, Jones CM, Baldwin GT. Relationship between nonmedical prescription-opioid use and heroin use. N Engl J Med. 2016;374(2):154-163.

3. Okie S. A flood of opioids, a rising tide of deaths. N Engl J Med. 2010;363(21):1981-1985.

4. Bohnert AS, Ilgen MA, Galea S, McCarthy JF, Blow FC. Accidental poisoning mortality among patients in the Department of Veterans Affairs Health System. Med Care. 2011;49(4):393-396.

5. Bohnert AS, Ilgen MA, Trafton JA, et al. Trends and regional variation in opioid overdose mortality among Veterans Health Administration patients, fiscal year 2001 to 2009. Clin J Pain. 2014;30(7):605-612.

6. Centers for Disease Control and Prevention. Policy impact: prescription, painkiller, overdoses. http://www.cdc.gov/drugoverdose/pdf/policyimpact-prescriptionpainkillerod-a.pdf. Published November 2011. Accessed August 25, 2016.

7. Xu J, Murphy SL, Kochanek KD, Bastian BA; Division of Vital Statistics. Deaths: final data for 2013. http://www.cdc.gov/nchs/data/nvsr/nvsr64/nvsr64_02.pdf. Published February 16, 2016. Accessed August 25, 2016.

8. The Joint Commission. Sentinel event alert issue 49: safe use of opioids in the hospital. https://www.jointcommission.org/assets/1/18/SEA_49_opioids_8_2_12_final.pdf. Published August 8, 2012. Accessed April 25, 2015.

9. Bohnert AS, Ilgen MA, Ignacio RV, McCarthy JF, Valenstein M, Blow FC. Risk of death from accidental overdose associated with psychiatric and substance use disorders. Am J Psychiatry. 2012;169(1):64-70.

10. Edlund MJ, Austen MA, Sullivan MD, et al. Patterns of opioid use for chronic noncancer pain in the Veterans Health Administration from 2009 to 2011. Pain. 2014;155:2337-2343.

11. Jann M, Kennedy WK, Lopez G. Benzodiazepines: a major component in unintentional prescription drug overdoses with opioid analgesics. J Pharm Pract. 2014;27(1):5-16.

12. McMillin G, Kusukawa N, Nelson G. Benzodiazepines.Salt Lake City, UT: ARUP Laboratories; 2012.

13. Naloxone hydrochloride [package insert].Lake Forest, IL: Hospira Inc; 2007.

14. Boyer EW. Management of opioid analgesic overdose. N Engl J Med. 2012;367(2):146-155.

15. Hoffman JR, Schriger DL, Luo JS. The empiric use of naloxone in patients with altered mental status: a reappraisal. Ann Emerg Med. 1991;20(3):246-252.

16. Yokell MA, Delgado MK, Zaller ND, Wang NE, McGowan SK, Green TC. Presentation of prescription and nonprescription opioid overdoses to US emergency departments. JAMA Intern Med. 2014;174(12):2034-2037.

17. Binswanger I, Gardner E, Gabella B, Broderick K, Glanz K. Development of case criteria to define pharmaceutical opioid and heroin overdoses in clinical records. Platform presented at: Association for Medical Education and Research in Substance Abuse 38th Annual National Conference; November 7, 2014; San Francisco, CA.

18. Gomes T, Mamdani MM, Dhalla IA, Paterson JM, Juurlink DN. Opioid dose and drug-related mortality in patients with nonmalignant pain. Arch Intern Med. 2011;171(7):686-691.

19. Jaeger TM, Lohr RH, Pankratz VS. Symptom-triggered therapy for alcohol withdrawal syndrome in medical inpatients. Mayo Clin Proc. 2001;76(7):695-701.20. Washington State Agency Medical Directors’ Group. Opioid dose clculator. http://www
.agencymeddirectors.wa.gov/Calculator/DoseCalcula tor.htm. Accessed October 10, 2016.

21. EMIT II Plus Benzodiazepine Assay [package insert]. Brea, CA: Beckman Coulter, Inc; 2010.

22. Johnson EM, Lanier WA, Merrill RM, et al. Unintentional prescription opioid-related overdose deaths: description of decedents by next of kin or best contact, Utah, 2008-2009. J Gen Intern Med. 2013;28(4):522-529.

23. Utah Department of Health. Fact sheet: prescription pain medication deaths in Utah, 2012. https://www.health.utah.gov/vipp/pdf/FactSheets/2012RxOpioidDeaths.pdf. Updated October 2013. Accessed October 10, 2016.

24. Jones CM, Mack KA, Paulozzi LJ. Pharmaceutical overdose deaths, United States, 2010. JAMA. 2013;309(7):657-659.

25. Bohnert AS, Tracy M, Galea S. Characteristics of drug users who witness many overdoses: implications for overdose prevention. Drug Alcohol Depend. 2012;120(1-3):168-173.

26. Yoon J, Zulman D, Scott JY, Maciejewski ML. Costs associated with multimorbidity among VA patients. Med Care. 2014;52(suppl 3):S31-S36.

27. Yoon J, Yano EM, Altman L, et al. Reducing costs of acute care for ambulatory care-sensitive medical conditions: the central roles of comorbid mental illness. Med Care. 2012;50(8):705-713.

28. Department of Veterans Affairs, Department of Defense. VA/DoD Clinical Practice Guideline for Management of Opioid Therapy for Chronic Pain. Guideline summary. http://www.va.gov/painmanagement/docs/cpg_opioidtherapy_summary.pdf. Published May 2010. Accessed August 25, 2016.

29. Fulton-Kehoe D, Sullivan MD, Turner JA, et al. Opioid poisonings in Washington state Medicaid: trends, dosing, and guidelines. Med Care. 2015;53(8):679-685.

30. Gudin JA, Mogali S, Jones JD, Comer SD. Risks, management, and monitoring of combination opioid, benzodiazepines, and/or alcohol use. Postgrad Med. 2013;125(4):115-130.

31. Poisnel G, Dhilly M, Le Boisselier R, Barre L, Debruyne D. Comparison of five benzodiazepine-receptor agonists on buprenorphine-induced mu-opioid receptor regulation. J Pharmacol Sci. 2009;110(1):36-46.

32. Webster LR, Cochella S, Dasgupta N, et al. An analysis of the root causes for opioid-related overdose deaths in the United States. Pain Med. 2011;12(suppl 2):S26-S35.

 

 

33. Lee SC, Klein-Schwartz W, Doyon S, Welsh C. Comparison of toxicity associated with nonmedical use of benzodiazepines with buprenorphine or methadone. Drug Alcohol Depend. 2014;138:118-123.

34. Owen GT, Burton AW, Schade CM, Passik S. Urine drug testing: current recommendations and best practices. Pain Physician. 2012;15(suppl 3):ES119–ES133.

35. Sullivan MD, Edlund MJ, Fan MY, Devries A, Brennan Braden J, Martin BC. Risks for possible and probable opioid misuse among recipients of chronic opioid therapy in commercial and medicaid insurance plans: the TROUP study. Pain. 2010;150(2):332-339.

36. Sporer KA, Firestone J, Isaacs SM. Out-of-hospital treatment of opioid overdoses in an urban setting. Acad Emerg Med. 1996;3(7):660-667.

References

References

1. Rudd RA, Aleshire N, Zibbell JE, Gladden RM. Increases in drug and opioid overdose deaths—United States, 2000-2014. MMWR. 2015;64(50):1-5.

2. Compton WM, Jones CM, Baldwin GT. Relationship between nonmedical prescription-opioid use and heroin use. N Engl J Med. 2016;374(2):154-163.

3. Okie S. A flood of opioids, a rising tide of deaths. N Engl J Med. 2010;363(21):1981-1985.

4. Bohnert AS, Ilgen MA, Galea S, McCarthy JF, Blow FC. Accidental poisoning mortality among patients in the Department of Veterans Affairs Health System. Med Care. 2011;49(4):393-396.

5. Bohnert AS, Ilgen MA, Trafton JA, et al. Trends and regional variation in opioid overdose mortality among Veterans Health Administration patients, fiscal year 2001 to 2009. Clin J Pain. 2014;30(7):605-612.

6. Centers for Disease Control and Prevention. Policy impact: prescription, painkiller, overdoses. http://www.cdc.gov/drugoverdose/pdf/policyimpact-prescriptionpainkillerod-a.pdf. Published November 2011. Accessed August 25, 2016.

7. Xu J, Murphy SL, Kochanek KD, Bastian BA; Division of Vital Statistics. Deaths: final data for 2013. http://www.cdc.gov/nchs/data/nvsr/nvsr64/nvsr64_02.pdf. Published February 16, 2016. Accessed August 25, 2016.

8. The Joint Commission. Sentinel event alert issue 49: safe use of opioids in the hospital. https://www.jointcommission.org/assets/1/18/SEA_49_opioids_8_2_12_final.pdf. Published August 8, 2012. Accessed April 25, 2015.

9. Bohnert AS, Ilgen MA, Ignacio RV, McCarthy JF, Valenstein M, Blow FC. Risk of death from accidental overdose associated with psychiatric and substance use disorders. Am J Psychiatry. 2012;169(1):64-70.

10. Edlund MJ, Austen MA, Sullivan MD, et al. Patterns of opioid use for chronic noncancer pain in the Veterans Health Administration from 2009 to 2011. Pain. 2014;155:2337-2343.

11. Jann M, Kennedy WK, Lopez G. Benzodiazepines: a major component in unintentional prescription drug overdoses with opioid analgesics. J Pharm Pract. 2014;27(1):5-16.

12. McMillin G, Kusukawa N, Nelson G. Benzodiazepines.Salt Lake City, UT: ARUP Laboratories; 2012.

13. Naloxone hydrochloride [package insert].Lake Forest, IL: Hospira Inc; 2007.

14. Boyer EW. Management of opioid analgesic overdose. N Engl J Med. 2012;367(2):146-155.

15. Hoffman JR, Schriger DL, Luo JS. The empiric use of naloxone in patients with altered mental status: a reappraisal. Ann Emerg Med. 1991;20(3):246-252.

16. Yokell MA, Delgado MK, Zaller ND, Wang NE, McGowan SK, Green TC. Presentation of prescription and nonprescription opioid overdoses to US emergency departments. JAMA Intern Med. 2014;174(12):2034-2037.

17. Binswanger I, Gardner E, Gabella B, Broderick K, Glanz K. Development of case criteria to define pharmaceutical opioid and heroin overdoses in clinical records. Platform presented at: Association for Medical Education and Research in Substance Abuse 38th Annual National Conference; November 7, 2014; San Francisco, CA.

18. Gomes T, Mamdani MM, Dhalla IA, Paterson JM, Juurlink DN. Opioid dose and drug-related mortality in patients with nonmalignant pain. Arch Intern Med. 2011;171(7):686-691.

19. Jaeger TM, Lohr RH, Pankratz VS. Symptom-triggered therapy for alcohol withdrawal syndrome in medical inpatients. Mayo Clin Proc. 2001;76(7):695-701.20. Washington State Agency Medical Directors’ Group. Opioid dose clculator. http://www
.agencymeddirectors.wa.gov/Calculator/DoseCalcula tor.htm. Accessed October 10, 2016.

21. EMIT II Plus Benzodiazepine Assay [package insert]. Brea, CA: Beckman Coulter, Inc; 2010.

22. Johnson EM, Lanier WA, Merrill RM, et al. Unintentional prescription opioid-related overdose deaths: description of decedents by next of kin or best contact, Utah, 2008-2009. J Gen Intern Med. 2013;28(4):522-529.

23. Utah Department of Health. Fact sheet: prescription pain medication deaths in Utah, 2012. https://www.health.utah.gov/vipp/pdf/FactSheets/2012RxOpioidDeaths.pdf. Updated October 2013. Accessed October 10, 2016.

24. Jones CM, Mack KA, Paulozzi LJ. Pharmaceutical overdose deaths, United States, 2010. JAMA. 2013;309(7):657-659.

25. Bohnert AS, Tracy M, Galea S. Characteristics of drug users who witness many overdoses: implications for overdose prevention. Drug Alcohol Depend. 2012;120(1-3):168-173.

26. Yoon J, Zulman D, Scott JY, Maciejewski ML. Costs associated with multimorbidity among VA patients. Med Care. 2014;52(suppl 3):S31-S36.

27. Yoon J, Yano EM, Altman L, et al. Reducing costs of acute care for ambulatory care-sensitive medical conditions: the central roles of comorbid mental illness. Med Care. 2012;50(8):705-713.

28. Department of Veterans Affairs, Department of Defense. VA/DoD Clinical Practice Guideline for Management of Opioid Therapy for Chronic Pain. Guideline summary. http://www.va.gov/painmanagement/docs/cpg_opioidtherapy_summary.pdf. Published May 2010. Accessed August 25, 2016.

29. Fulton-Kehoe D, Sullivan MD, Turner JA, et al. Opioid poisonings in Washington state Medicaid: trends, dosing, and guidelines. Med Care. 2015;53(8):679-685.

30. Gudin JA, Mogali S, Jones JD, Comer SD. Risks, management, and monitoring of combination opioid, benzodiazepines, and/or alcohol use. Postgrad Med. 2013;125(4):115-130.

31. Poisnel G, Dhilly M, Le Boisselier R, Barre L, Debruyne D. Comparison of five benzodiazepine-receptor agonists on buprenorphine-induced mu-opioid receptor regulation. J Pharmacol Sci. 2009;110(1):36-46.

32. Webster LR, Cochella S, Dasgupta N, et al. An analysis of the root causes for opioid-related overdose deaths in the United States. Pain Med. 2011;12(suppl 2):S26-S35.

 

 

33. Lee SC, Klein-Schwartz W, Doyon S, Welsh C. Comparison of toxicity associated with nonmedical use of benzodiazepines with buprenorphine or methadone. Drug Alcohol Depend. 2014;138:118-123.

34. Owen GT, Burton AW, Schade CM, Passik S. Urine drug testing: current recommendations and best practices. Pain Physician. 2012;15(suppl 3):ES119–ES133.

35. Sullivan MD, Edlund MJ, Fan MY, Devries A, Brennan Braden J, Martin BC. Risks for possible and probable opioid misuse among recipients of chronic opioid therapy in commercial and medicaid insurance plans: the TROUP study. Pain. 2010;150(2):332-339.

36. Sporer KA, Firestone J, Isaacs SM. Out-of-hospital treatment of opioid overdoses in an urban setting. Acad Emerg Med. 1996;3(7):660-667.

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Ebola Treatment Is Promising—But Not Definitively Better

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ZMapp Ebola treatment study shows promising data, but there is still more research to be done.

The experimental Ebola treatment ZMapp, which is composed of 3 different monoclonal antibodies, prevents progression of Ebola virus disease by targeting the main surface protein of the virus. According to findings from the clinical trial PREVAIL II, ZMapp is safe and well tolerated. But because the Ebola epidemic is “waning,” NIH says, the study enrolled too few people to determine definitively whether it is a better treatment than the best available standard of care.

Related: Novel Treatment for Ebola Virus

The study involved 72 men and women with confirmed infection. However, the researchers closed the study early because they could not enroll the target number of 200 participants due to the decline in cases. All patients received the optimized standard of care—IV fluids, electrolyte balance, maintaining oxygen and blood pressure levels—and half also received 3 IV infusions of ZMapp 3 days apart.

At 28 days, 13 of the 35 patients (37%) in the standard care group had died, compared with 8 of 36 (22%) in the ZMapp group. That difference, a 40% lower risk of death with ZMapp, still did not reach statistical significance.

Related: Ebola Virus Persists in Semen Long Term

The findings are “promising and provide valuable scientific data,” says Anthony Fauci, MD, director of the National Institute of Allergy and Infectious Diseases. Moreover, he adds, “Importantly, the study establishes that it is feasible to conduct a randomized, controlled trial during a major public health emergency in a scientifically and ethically sound manner.”

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ZMapp Ebola treatment study shows promising data, but there is still more research to be done.
ZMapp Ebola treatment study shows promising data, but there is still more research to be done.

The experimental Ebola treatment ZMapp, which is composed of 3 different monoclonal antibodies, prevents progression of Ebola virus disease by targeting the main surface protein of the virus. According to findings from the clinical trial PREVAIL II, ZMapp is safe and well tolerated. But because the Ebola epidemic is “waning,” NIH says, the study enrolled too few people to determine definitively whether it is a better treatment than the best available standard of care.

Related: Novel Treatment for Ebola Virus

The study involved 72 men and women with confirmed infection. However, the researchers closed the study early because they could not enroll the target number of 200 participants due to the decline in cases. All patients received the optimized standard of care—IV fluids, electrolyte balance, maintaining oxygen and blood pressure levels—and half also received 3 IV infusions of ZMapp 3 days apart.

At 28 days, 13 of the 35 patients (37%) in the standard care group had died, compared with 8 of 36 (22%) in the ZMapp group. That difference, a 40% lower risk of death with ZMapp, still did not reach statistical significance.

Related: Ebola Virus Persists in Semen Long Term

The findings are “promising and provide valuable scientific data,” says Anthony Fauci, MD, director of the National Institute of Allergy and Infectious Diseases. Moreover, he adds, “Importantly, the study establishes that it is feasible to conduct a randomized, controlled trial during a major public health emergency in a scientifically and ethically sound manner.”

The experimental Ebola treatment ZMapp, which is composed of 3 different monoclonal antibodies, prevents progression of Ebola virus disease by targeting the main surface protein of the virus. According to findings from the clinical trial PREVAIL II, ZMapp is safe and well tolerated. But because the Ebola epidemic is “waning,” NIH says, the study enrolled too few people to determine definitively whether it is a better treatment than the best available standard of care.

Related: Novel Treatment for Ebola Virus

The study involved 72 men and women with confirmed infection. However, the researchers closed the study early because they could not enroll the target number of 200 participants due to the decline in cases. All patients received the optimized standard of care—IV fluids, electrolyte balance, maintaining oxygen and blood pressure levels—and half also received 3 IV infusions of ZMapp 3 days apart.

At 28 days, 13 of the 35 patients (37%) in the standard care group had died, compared with 8 of 36 (22%) in the ZMapp group. That difference, a 40% lower risk of death with ZMapp, still did not reach statistical significance.

Related: Ebola Virus Persists in Semen Long Term

The findings are “promising and provide valuable scientific data,” says Anthony Fauci, MD, director of the National Institute of Allergy and Infectious Diseases. Moreover, he adds, “Importantly, the study establishes that it is feasible to conduct a randomized, controlled trial during a major public health emergency in a scientifically and ethically sound manner.”

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FDA Boxed Warnings

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Updated warnings for nonsteroidal anti-inflammatory drugs, lomitapide, ado-trastuzumab emtansine,and mipomersen sodium.

The FDA’s MedWatch program safety labeling changes for boxed warnings are compiled quarterly for drugs and therapeutic biologics where important changes have been made to the safety information. You can search these and other label changes in the Drug Safety Labeling Changes (SLC) database, where data are available to the public in downloadable and searchable formats. Boxed warnings are ordinarily used to highlight either adverse reactions so serious in proportion to the potential bene t from the drug that it is essential that it be considered in assessing the risks and bene ts of using the drug; or serious adverse reactions that can be prevented/reduced in frequency or severity by appropriate use of the drug; or FDA approved the drug with restrictions to ensure safe use because FDA concluded that the drug can be safely used only if distribution or use is restricted.

NONSTEROIDAL ANTI-INFLAMMATORY DRUGS:

  • Updated Warning May 2016

WARNING: RISK OF SERIOUS CARDIOVASCULAR AND GASTROINTESTINAL EVENTS

Cardiovascular Thrombotic Events

• Nonsteroidal anti-inflammatory drugs (NSAIDs) cause an increased risk of serious cardiovascular thrombotic events, including myocardial infarction and stroke, which can be fatal. This risk may occur early in treatment and may increase with duration of use.

• NSAID is contraindicated in the setting of coronary artery bypass graft surgery.

Gastrointestinal Bleeding, Ulceration, and Perforation

NSAIDs cause an increased risk of serious gastrointestinal (GI) adverse events including bleeding, ulceration, and perforation of the stomach or intestines, which can be fatal. These events can occur at any time during use and without warning symptoms. Elderly patients and patients with a prior history of peptic ulcer disease and/or GI bleeding are at greater risk for serious GI events.

JUXTAPID (lomitapide) capsules:

  • Added section to warning May 2016

Prescribe Juxtapid only to patients with a clinical or laboratory diagnosis consistent with homozygous familial hypercholesterolemia (HoFH). The safety and effectiveness of Juxtapid have not been established in patients with hypercholesterolemia who do not have HoFH.

KADCYLA (ado-trastuzumab emtansine) injection, for intravenous:

  • Edited and updated warning April 2016

Embryo-Fetal Toxicity: Exposure to Kadcyla during pregnancy can result in embryo-fetal harm. Advise patients of these risks and the need for effective contraception.

KYNAMRO (mipomersen sodium) solution for subcutaneous injection:

  • Added section to warning May 2016

Prescribe Kynamro only to patients with a clinical or laboratory diagnosis consistent with homozygous familial hypercholesterolemia (HoFH). The safety and effectiveness of Kynamro have not been established in patients with hypercholesterolemia who do not have HoFH.

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Updated warnings for nonsteroidal anti-inflammatory drugs, lomitapide, ado-trastuzumab emtansine,and mipomersen sodium.
Updated warnings for nonsteroidal anti-inflammatory drugs, lomitapide, ado-trastuzumab emtansine,and mipomersen sodium.

The FDA’s MedWatch program safety labeling changes for boxed warnings are compiled quarterly for drugs and therapeutic biologics where important changes have been made to the safety information. You can search these and other label changes in the Drug Safety Labeling Changes (SLC) database, where data are available to the public in downloadable and searchable formats. Boxed warnings are ordinarily used to highlight either adverse reactions so serious in proportion to the potential bene t from the drug that it is essential that it be considered in assessing the risks and bene ts of using the drug; or serious adverse reactions that can be prevented/reduced in frequency or severity by appropriate use of the drug; or FDA approved the drug with restrictions to ensure safe use because FDA concluded that the drug can be safely used only if distribution or use is restricted.

NONSTEROIDAL ANTI-INFLAMMATORY DRUGS:

  • Updated Warning May 2016

WARNING: RISK OF SERIOUS CARDIOVASCULAR AND GASTROINTESTINAL EVENTS

Cardiovascular Thrombotic Events

• Nonsteroidal anti-inflammatory drugs (NSAIDs) cause an increased risk of serious cardiovascular thrombotic events, including myocardial infarction and stroke, which can be fatal. This risk may occur early in treatment and may increase with duration of use.

• NSAID is contraindicated in the setting of coronary artery bypass graft surgery.

Gastrointestinal Bleeding, Ulceration, and Perforation

NSAIDs cause an increased risk of serious gastrointestinal (GI) adverse events including bleeding, ulceration, and perforation of the stomach or intestines, which can be fatal. These events can occur at any time during use and without warning symptoms. Elderly patients and patients with a prior history of peptic ulcer disease and/or GI bleeding are at greater risk for serious GI events.

JUXTAPID (lomitapide) capsules:

  • Added section to warning May 2016

Prescribe Juxtapid only to patients with a clinical or laboratory diagnosis consistent with homozygous familial hypercholesterolemia (HoFH). The safety and effectiveness of Juxtapid have not been established in patients with hypercholesterolemia who do not have HoFH.

KADCYLA (ado-trastuzumab emtansine) injection, for intravenous:

  • Edited and updated warning April 2016

Embryo-Fetal Toxicity: Exposure to Kadcyla during pregnancy can result in embryo-fetal harm. Advise patients of these risks and the need for effective contraception.

KYNAMRO (mipomersen sodium) solution for subcutaneous injection:

  • Added section to warning May 2016

Prescribe Kynamro only to patients with a clinical or laboratory diagnosis consistent with homozygous familial hypercholesterolemia (HoFH). The safety and effectiveness of Kynamro have not been established in patients with hypercholesterolemia who do not have HoFH.

The FDA’s MedWatch program safety labeling changes for boxed warnings are compiled quarterly for drugs and therapeutic biologics where important changes have been made to the safety information. You can search these and other label changes in the Drug Safety Labeling Changes (SLC) database, where data are available to the public in downloadable and searchable formats. Boxed warnings are ordinarily used to highlight either adverse reactions so serious in proportion to the potential bene t from the drug that it is essential that it be considered in assessing the risks and bene ts of using the drug; or serious adverse reactions that can be prevented/reduced in frequency or severity by appropriate use of the drug; or FDA approved the drug with restrictions to ensure safe use because FDA concluded that the drug can be safely used only if distribution or use is restricted.

NONSTEROIDAL ANTI-INFLAMMATORY DRUGS:

  • Updated Warning May 2016

WARNING: RISK OF SERIOUS CARDIOVASCULAR AND GASTROINTESTINAL EVENTS

Cardiovascular Thrombotic Events

• Nonsteroidal anti-inflammatory drugs (NSAIDs) cause an increased risk of serious cardiovascular thrombotic events, including myocardial infarction and stroke, which can be fatal. This risk may occur early in treatment and may increase with duration of use.

• NSAID is contraindicated in the setting of coronary artery bypass graft surgery.

Gastrointestinal Bleeding, Ulceration, and Perforation

NSAIDs cause an increased risk of serious gastrointestinal (GI) adverse events including bleeding, ulceration, and perforation of the stomach or intestines, which can be fatal. These events can occur at any time during use and without warning symptoms. Elderly patients and patients with a prior history of peptic ulcer disease and/or GI bleeding are at greater risk for serious GI events.

JUXTAPID (lomitapide) capsules:

  • Added section to warning May 2016

Prescribe Juxtapid only to patients with a clinical or laboratory diagnosis consistent with homozygous familial hypercholesterolemia (HoFH). The safety and effectiveness of Juxtapid have not been established in patients with hypercholesterolemia who do not have HoFH.

KADCYLA (ado-trastuzumab emtansine) injection, for intravenous:

  • Edited and updated warning April 2016

Embryo-Fetal Toxicity: Exposure to Kadcyla during pregnancy can result in embryo-fetal harm. Advise patients of these risks and the need for effective contraception.

KYNAMRO (mipomersen sodium) solution for subcutaneous injection:

  • Added section to warning May 2016

Prescribe Kynamro only to patients with a clinical or laboratory diagnosis consistent with homozygous familial hypercholesterolemia (HoFH). The safety and effectiveness of Kynamro have not been established in patients with hypercholesterolemia who do not have HoFH.

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A Better Postexposure Anthrax Vaccine?

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The new vaccine AV7909 could work faster than BioThrax while also increasing adherence to treatment regimen.

A phase 2 study findings suggest that AV7909, a new vaccine for postexposure prophylaxis of anthrax disease, may work faster and require fewer vaccinations with fewer antigens when compared with BioThrax. The authors also speculate that AV7909 might require shorter stints with antimicrobial drugs than the 60-day regimen currently recommended along with the 3-dose series of BioThrax vaccine, which could lead to increased patients adherence.

Related: Clinical Trials Begin for Another Anthrax Vaccine

The drug AV7909 combines BioThrax with CPG7909, a synthetic immunostimulatory oligonucleotide. Earlier trials identified a formulation that enhanced immune response without increasing adverse events (AEs). In a multicenter phase 2 trial that evaluated this formulation, researchers tested 3 vaccine schedules and 2 doses in 168 healthy volunteers. Serum samples were collected before the vaccination and on days 35, 42, 49, 63, and 84. Safety was assessed through Day 84.

Related: Better Anthrax Vaccine on the Horizon

The schedule of 2 full doses of AV7909, given 2 weeks apart, showed a comparable immune response to a 0/14/28-day BioThrax schedule but had a higher and earlier peak. The AV7909 vaccine was safe and well tolerated. Although the AV7909 group reported more AEs (79% for AV7909 vs 65% for BioThrax), no serious AEs were assessed as potentially vaccine related, and none were deemed of potential autoimmune etiology.

Source:Hopkin RJ, Kalsi G, Montalvo-Lugo VM, et al. Vaccine. 2016;34(18):2096-2105.doi: 10.1016/j.vaccine.2016.03.006. 

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The new vaccine AV7909 could work faster than BioThrax while also increasing adherence to treatment regimen.
The new vaccine AV7909 could work faster than BioThrax while also increasing adherence to treatment regimen.

A phase 2 study findings suggest that AV7909, a new vaccine for postexposure prophylaxis of anthrax disease, may work faster and require fewer vaccinations with fewer antigens when compared with BioThrax. The authors also speculate that AV7909 might require shorter stints with antimicrobial drugs than the 60-day regimen currently recommended along with the 3-dose series of BioThrax vaccine, which could lead to increased patients adherence.

Related: Clinical Trials Begin for Another Anthrax Vaccine

The drug AV7909 combines BioThrax with CPG7909, a synthetic immunostimulatory oligonucleotide. Earlier trials identified a formulation that enhanced immune response without increasing adverse events (AEs). In a multicenter phase 2 trial that evaluated this formulation, researchers tested 3 vaccine schedules and 2 doses in 168 healthy volunteers. Serum samples were collected before the vaccination and on days 35, 42, 49, 63, and 84. Safety was assessed through Day 84.

Related: Better Anthrax Vaccine on the Horizon

The schedule of 2 full doses of AV7909, given 2 weeks apart, showed a comparable immune response to a 0/14/28-day BioThrax schedule but had a higher and earlier peak. The AV7909 vaccine was safe and well tolerated. Although the AV7909 group reported more AEs (79% for AV7909 vs 65% for BioThrax), no serious AEs were assessed as potentially vaccine related, and none were deemed of potential autoimmune etiology.

Source:Hopkin RJ, Kalsi G, Montalvo-Lugo VM, et al. Vaccine. 2016;34(18):2096-2105.doi: 10.1016/j.vaccine.2016.03.006. 

A phase 2 study findings suggest that AV7909, a new vaccine for postexposure prophylaxis of anthrax disease, may work faster and require fewer vaccinations with fewer antigens when compared with BioThrax. The authors also speculate that AV7909 might require shorter stints with antimicrobial drugs than the 60-day regimen currently recommended along with the 3-dose series of BioThrax vaccine, which could lead to increased patients adherence.

Related: Clinical Trials Begin for Another Anthrax Vaccine

The drug AV7909 combines BioThrax with CPG7909, a synthetic immunostimulatory oligonucleotide. Earlier trials identified a formulation that enhanced immune response without increasing adverse events (AEs). In a multicenter phase 2 trial that evaluated this formulation, researchers tested 3 vaccine schedules and 2 doses in 168 healthy volunteers. Serum samples were collected before the vaccination and on days 35, 42, 49, 63, and 84. Safety was assessed through Day 84.

Related: Better Anthrax Vaccine on the Horizon

The schedule of 2 full doses of AV7909, given 2 weeks apart, showed a comparable immune response to a 0/14/28-day BioThrax schedule but had a higher and earlier peak. The AV7909 vaccine was safe and well tolerated. Although the AV7909 group reported more AEs (79% for AV7909 vs 65% for BioThrax), no serious AEs were assessed as potentially vaccine related, and none were deemed of potential autoimmune etiology.

Source:Hopkin RJ, Kalsi G, Montalvo-Lugo VM, et al. Vaccine. 2016;34(18):2096-2105.doi: 10.1016/j.vaccine.2016.03.006. 

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Assessment of High Staphylococcus aureus MIC and Poor Patient Outcomes

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Assessment of High Staphylococcus aureus MIC and Poor Patient Outcomes

Staphylococcus aureus (S aureus) is a common cause of infection within the hospital and in the community.1 Treatment is based on the organism’s susceptibility to methicillin and is referred to as either MRSA (methicillin-resistant S aureus) or MSSA (methicillin-susceptible 
S aureus). As antibiotic resistance has evolved, patients with S aureus (especially MRSA) infections have become more difficult to treat. Susceptibility testing guides treatment of these infections and determines the minimum inhibitory concentration (MIC) for each antibiotic. A MIC is the minimum concentration of an antibiotic that will inhibit the visible growth of the organism after incubation.

Related: Experts Debate Infection Control Merits of ‘Bare Beneath the Elbows’

Vancomycin has remained the mainstay for treatment of patients with MRSA infections. An increasing number of infections with high documented MICs to vancomycin are raising concern that resistance may be developing. Clinical controversy exists within the infectious disease community as to whether vancomycin is less effective against S aureus infections with a vancomycin MIC of ≥ 2 µg/mL, contributing to poor patient outcomes.2

The Clinical and Laboratory Standards Institute (CLSI) lowered the breakpoint for vancomycin in 2006 from > 4 µg/mL to > 2 µg/mL.3 Breakpoints delineate MIC values that are considered susceptible, nonsusceptible, or resistant to an antibiotic. The CLSI breakpoint change points to an increase in vancomycin resistance and supports the need for further discussion and insight.

A 2012 meta-analysis was conducted to determine whether an association exists between S aureus infections with vancomycin MIC values ≥ 2 µg/mL and the effectiveness of the therapy.2 Twenty-two studies were included with a primary outcome of 30-day mortality. A review of MRSA data revealed a statistically significant association between high vancomycin MICs (≥ 1.5 µg/mL) and increased mortality (P < .01), regardless of the source of infection. When limiting the data to Etest (bioMérieux, Marcy L’Etoile, France) MIC testing for MRSA bloodstream infections (BSIs), a vancomycin MIC ≥ 1.5 µg/mL was not associated with increased mortality (P = .08). Comparing data for MIC ≥ 2 µg/mL and ≤ 1.5 µg/mL, found that MICs ≥ 2 µg/mL were associated with increased mortality (P < .01). Analysis of the 11 studies that included data on treatment failure concluded that S aureus infections with a vancomycin MIC ≥ 1.5 µg/mL were associated with an increased risk of treatment failure in both MSSA and MRSA infections (P < .01) and that treatment failure was more likely in MRSA BSIs than in non-BSIs (P < .01).Evidence to support a possible correlation between high S aureus vancomycin MICs and poor patient outcomes came from a 2013 meta-analysis.3 The specific aim of this study was to examine the correlations between vancomycin MIC, patient mortality, and treatment failure. A MIC ≥ 1.5 µg/mL and ≥ 1.0 µg/mL were used to classify MICs as high when determined by Etest and broth microdilution (BMD), respectively. Analysis revealed an association between high vancomycin MICs and increased risk of treatment failure (relative risk [RR] 1.40, 95% confidence interval [CI] 1.15-1.71) and overall mortality (RR 1.42, 95% CI 1.08-1.87). Similarly, a sensitivity analysis on S aureus BSIs with high vancomycin MICs revealed an increased risk of mortality (RR 1.46, 95% CI 1.06-2.01) and treatment failure (RR 1.37, 95% CI 1.09-1.73).

Related: The Importance of an Antimicrobial Stewardship Program

The most recent meta-analysis (published in 2014) included patients with S aureus bacteremia and evaluated the association of high S aureus vancomycin MIC with an increased risk of mortality.4 A high MIC was defined as ≥ 1.5 µg/mL by Etest and ≥ 2.0 µg/mL by BMD. The analysis of 38 studies found a nonstatistically significant difference in mortality risk (P = .43). Further analysis was performed to determine whether the vancomycin MIC cutoff plays a role in increased mortality. No statistically significant difference in mortality was found when using a vancomycin MIC ≥ 1.5 µg/mL, ≥ 2.0 µg/mL, ≥ 4.0 µg/mL, or ≥ 8.0 µg/mL. The authors argued that their differing conclusions from other meta-analyses may be due to the inclusion of only bacteremias rather than all infection types, and although there was not a statistically significant difference, increased risk of mortality could not be excluded.

Related: Results Mixed in Hospital Efforts to Tackle Antimicrobial Resistance

Although conclusions of published meta-analyses differ, the results highlight the necessity of using clinical judgment in treating patients with S aureus infections with high MIC values and to consider the primary source and severity of infection. A confounding factor to direct comparison of the literature is the variations based on the method of MIC determination and testing (Etest vs BMD).

 

 

Additionally, all 3 studies addressed the importance of considering clinical patient factors that may lead to poorer prognosis as well as the difficultly in achieving necessary vancomycin levels with limited toxicity. The risk of increased mortality in patients with high vancomycin MICs cannot be ruled out at this time. Therefore, additional patient factors as well as the potential toxicities that may result from vancomycin therapy should be considered when using vancomycin in treating patients with S aureus infections.

Additional Note
An earlier version of this article appeared in the Pharmacy Related Newsletter: The Capsule, of the William S. Middleton Memorial Veterans Hospital.

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

References

 

1. Martin JH, Norris R, Barras M, et al. Therapeutic monitoring of vancomycin in adult patients: a consensus review of the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, and the Society of Infectious Diseases Pharmacists. Clin Biochem Rev. 2010;31(1):21-24.

2. van Hal SJ, Lodise TP, Paterson DL. The clinical significance of vancomycin minimum inhibitory concentration in Staphylococcus aureus infections: a systematic review and meta-analysis. Clin Infect Dis. 2012;54(6):755-771.

3. Jacob JT, DiazGranados CA. High vancomycin minimum inhibitory concentration and clinical outcomes in adults with methicillin-resistant Staphylococcus aureus infections: a meta-analysis. Int J Infect Dis. 2013;17(2):e93-e100.

4. Kalil AC, Van Schooneveld TC, Fey PD, Rupp ME. Association between vancomycin minimum inhibitory concentration and mortality among patients with Staphylococcus aureus bloodstream infections: a systematic review and meta-analysis. JAMA. 2014;312(15):1552-1564.

Author and Disclosure Information

Ms. O'Reilly is a fourth-year doctor of pharmacy student and Dr. Barnett is an assistant professor of pharmacy, both at the University of Wisconsin-Madison School of Pharmacy. Dr. Barnett is also a clinical pharmacist at the William S. Middleton VAMC. For topic suggestions, feedback, or questions, contact Dr. Barnett at susanne.barnett@wisc.edu. 

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Author and Disclosure Information

Ms. O'Reilly is a fourth-year doctor of pharmacy student and Dr. Barnett is an assistant professor of pharmacy, both at the University of Wisconsin-Madison School of Pharmacy. Dr. Barnett is also a clinical pharmacist at the William S. Middleton VAMC. For topic suggestions, feedback, or questions, contact Dr. Barnett at susanne.barnett@wisc.edu. 

Related Articles

Staphylococcus aureus (S aureus) is a common cause of infection within the hospital and in the community.1 Treatment is based on the organism’s susceptibility to methicillin and is referred to as either MRSA (methicillin-resistant S aureus) or MSSA (methicillin-susceptible 
S aureus). As antibiotic resistance has evolved, patients with S aureus (especially MRSA) infections have become more difficult to treat. Susceptibility testing guides treatment of these infections and determines the minimum inhibitory concentration (MIC) for each antibiotic. A MIC is the minimum concentration of an antibiotic that will inhibit the visible growth of the organism after incubation.

Related: Experts Debate Infection Control Merits of ‘Bare Beneath the Elbows’

Vancomycin has remained the mainstay for treatment of patients with MRSA infections. An increasing number of infections with high documented MICs to vancomycin are raising concern that resistance may be developing. Clinical controversy exists within the infectious disease community as to whether vancomycin is less effective against S aureus infections with a vancomycin MIC of ≥ 2 µg/mL, contributing to poor patient outcomes.2

The Clinical and Laboratory Standards Institute (CLSI) lowered the breakpoint for vancomycin in 2006 from > 4 µg/mL to > 2 µg/mL.3 Breakpoints delineate MIC values that are considered susceptible, nonsusceptible, or resistant to an antibiotic. The CLSI breakpoint change points to an increase in vancomycin resistance and supports the need for further discussion and insight.

A 2012 meta-analysis was conducted to determine whether an association exists between S aureus infections with vancomycin MIC values ≥ 2 µg/mL and the effectiveness of the therapy.2 Twenty-two studies were included with a primary outcome of 30-day mortality. A review of MRSA data revealed a statistically significant association between high vancomycin MICs (≥ 1.5 µg/mL) and increased mortality (P < .01), regardless of the source of infection. When limiting the data to Etest (bioMérieux, Marcy L’Etoile, France) MIC testing for MRSA bloodstream infections (BSIs), a vancomycin MIC ≥ 1.5 µg/mL was not associated with increased mortality (P = .08). Comparing data for MIC ≥ 2 µg/mL and ≤ 1.5 µg/mL, found that MICs ≥ 2 µg/mL were associated with increased mortality (P < .01). Analysis of the 11 studies that included data on treatment failure concluded that S aureus infections with a vancomycin MIC ≥ 1.5 µg/mL were associated with an increased risk of treatment failure in both MSSA and MRSA infections (P < .01) and that treatment failure was more likely in MRSA BSIs than in non-BSIs (P < .01).Evidence to support a possible correlation between high S aureus vancomycin MICs and poor patient outcomes came from a 2013 meta-analysis.3 The specific aim of this study was to examine the correlations between vancomycin MIC, patient mortality, and treatment failure. A MIC ≥ 1.5 µg/mL and ≥ 1.0 µg/mL were used to classify MICs as high when determined by Etest and broth microdilution (BMD), respectively. Analysis revealed an association between high vancomycin MICs and increased risk of treatment failure (relative risk [RR] 1.40, 95% confidence interval [CI] 1.15-1.71) and overall mortality (RR 1.42, 95% CI 1.08-1.87). Similarly, a sensitivity analysis on S aureus BSIs with high vancomycin MICs revealed an increased risk of mortality (RR 1.46, 95% CI 1.06-2.01) and treatment failure (RR 1.37, 95% CI 1.09-1.73).

Related: The Importance of an Antimicrobial Stewardship Program

The most recent meta-analysis (published in 2014) included patients with S aureus bacteremia and evaluated the association of high S aureus vancomycin MIC with an increased risk of mortality.4 A high MIC was defined as ≥ 1.5 µg/mL by Etest and ≥ 2.0 µg/mL by BMD. The analysis of 38 studies found a nonstatistically significant difference in mortality risk (P = .43). Further analysis was performed to determine whether the vancomycin MIC cutoff plays a role in increased mortality. No statistically significant difference in mortality was found when using a vancomycin MIC ≥ 1.5 µg/mL, ≥ 2.0 µg/mL, ≥ 4.0 µg/mL, or ≥ 8.0 µg/mL. The authors argued that their differing conclusions from other meta-analyses may be due to the inclusion of only bacteremias rather than all infection types, and although there was not a statistically significant difference, increased risk of mortality could not be excluded.

Related: Results Mixed in Hospital Efforts to Tackle Antimicrobial Resistance

Although conclusions of published meta-analyses differ, the results highlight the necessity of using clinical judgment in treating patients with S aureus infections with high MIC values and to consider the primary source and severity of infection. A confounding factor to direct comparison of the literature is the variations based on the method of MIC determination and testing (Etest vs BMD).

 

 

Additionally, all 3 studies addressed the importance of considering clinical patient factors that may lead to poorer prognosis as well as the difficultly in achieving necessary vancomycin levels with limited toxicity. The risk of increased mortality in patients with high vancomycin MICs cannot be ruled out at this time. Therefore, additional patient factors as well as the potential toxicities that may result from vancomycin therapy should be considered when using vancomycin in treating patients with S aureus infections.

Additional Note
An earlier version of this article appeared in the Pharmacy Related Newsletter: The Capsule, of the William S. Middleton Memorial Veterans Hospital.

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Staphylococcus aureus (S aureus) is a common cause of infection within the hospital and in the community.1 Treatment is based on the organism’s susceptibility to methicillin and is referred to as either MRSA (methicillin-resistant S aureus) or MSSA (methicillin-susceptible 
S aureus). As antibiotic resistance has evolved, patients with S aureus (especially MRSA) infections have become more difficult to treat. Susceptibility testing guides treatment of these infections and determines the minimum inhibitory concentration (MIC) for each antibiotic. A MIC is the minimum concentration of an antibiotic that will inhibit the visible growth of the organism after incubation.

Related: Experts Debate Infection Control Merits of ‘Bare Beneath the Elbows’

Vancomycin has remained the mainstay for treatment of patients with MRSA infections. An increasing number of infections with high documented MICs to vancomycin are raising concern that resistance may be developing. Clinical controversy exists within the infectious disease community as to whether vancomycin is less effective against S aureus infections with a vancomycin MIC of ≥ 2 µg/mL, contributing to poor patient outcomes.2

The Clinical and Laboratory Standards Institute (CLSI) lowered the breakpoint for vancomycin in 2006 from > 4 µg/mL to > 2 µg/mL.3 Breakpoints delineate MIC values that are considered susceptible, nonsusceptible, or resistant to an antibiotic. The CLSI breakpoint change points to an increase in vancomycin resistance and supports the need for further discussion and insight.

A 2012 meta-analysis was conducted to determine whether an association exists between S aureus infections with vancomycin MIC values ≥ 2 µg/mL and the effectiveness of the therapy.2 Twenty-two studies were included with a primary outcome of 30-day mortality. A review of MRSA data revealed a statistically significant association between high vancomycin MICs (≥ 1.5 µg/mL) and increased mortality (P < .01), regardless of the source of infection. When limiting the data to Etest (bioMérieux, Marcy L’Etoile, France) MIC testing for MRSA bloodstream infections (BSIs), a vancomycin MIC ≥ 1.5 µg/mL was not associated with increased mortality (P = .08). Comparing data for MIC ≥ 2 µg/mL and ≤ 1.5 µg/mL, found that MICs ≥ 2 µg/mL were associated with increased mortality (P < .01). Analysis of the 11 studies that included data on treatment failure concluded that S aureus infections with a vancomycin MIC ≥ 1.5 µg/mL were associated with an increased risk of treatment failure in both MSSA and MRSA infections (P < .01) and that treatment failure was more likely in MRSA BSIs than in non-BSIs (P < .01).Evidence to support a possible correlation between high S aureus vancomycin MICs and poor patient outcomes came from a 2013 meta-analysis.3 The specific aim of this study was to examine the correlations between vancomycin MIC, patient mortality, and treatment failure. A MIC ≥ 1.5 µg/mL and ≥ 1.0 µg/mL were used to classify MICs as high when determined by Etest and broth microdilution (BMD), respectively. Analysis revealed an association between high vancomycin MICs and increased risk of treatment failure (relative risk [RR] 1.40, 95% confidence interval [CI] 1.15-1.71) and overall mortality (RR 1.42, 95% CI 1.08-1.87). Similarly, a sensitivity analysis on S aureus BSIs with high vancomycin MICs revealed an increased risk of mortality (RR 1.46, 95% CI 1.06-2.01) and treatment failure (RR 1.37, 95% CI 1.09-1.73).

Related: The Importance of an Antimicrobial Stewardship Program

The most recent meta-analysis (published in 2014) included patients with S aureus bacteremia and evaluated the association of high S aureus vancomycin MIC with an increased risk of mortality.4 A high MIC was defined as ≥ 1.5 µg/mL by Etest and ≥ 2.0 µg/mL by BMD. The analysis of 38 studies found a nonstatistically significant difference in mortality risk (P = .43). Further analysis was performed to determine whether the vancomycin MIC cutoff plays a role in increased mortality. No statistically significant difference in mortality was found when using a vancomycin MIC ≥ 1.5 µg/mL, ≥ 2.0 µg/mL, ≥ 4.0 µg/mL, or ≥ 8.0 µg/mL. The authors argued that their differing conclusions from other meta-analyses may be due to the inclusion of only bacteremias rather than all infection types, and although there was not a statistically significant difference, increased risk of mortality could not be excluded.

Related: Results Mixed in Hospital Efforts to Tackle Antimicrobial Resistance

Although conclusions of published meta-analyses differ, the results highlight the necessity of using clinical judgment in treating patients with S aureus infections with high MIC values and to consider the primary source and severity of infection. A confounding factor to direct comparison of the literature is the variations based on the method of MIC determination and testing (Etest vs BMD).

 

 

Additionally, all 3 studies addressed the importance of considering clinical patient factors that may lead to poorer prognosis as well as the difficultly in achieving necessary vancomycin levels with limited toxicity. The risk of increased mortality in patients with high vancomycin MICs cannot be ruled out at this time. Therefore, additional patient factors as well as the potential toxicities that may result from vancomycin therapy should be considered when using vancomycin in treating patients with S aureus infections.

Additional Note
An earlier version of this article appeared in the Pharmacy Related Newsletter: The Capsule, of the William S. Middleton Memorial Veterans Hospital.

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

References

 

1. Martin JH, Norris R, Barras M, et al. Therapeutic monitoring of vancomycin in adult patients: a consensus review of the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, and the Society of Infectious Diseases Pharmacists. Clin Biochem Rev. 2010;31(1):21-24.

2. van Hal SJ, Lodise TP, Paterson DL. The clinical significance of vancomycin minimum inhibitory concentration in Staphylococcus aureus infections: a systematic review and meta-analysis. Clin Infect Dis. 2012;54(6):755-771.

3. Jacob JT, DiazGranados CA. High vancomycin minimum inhibitory concentration and clinical outcomes in adults with methicillin-resistant Staphylococcus aureus infections: a meta-analysis. Int J Infect Dis. 2013;17(2):e93-e100.

4. Kalil AC, Van Schooneveld TC, Fey PD, Rupp ME. Association between vancomycin minimum inhibitory concentration and mortality among patients with Staphylococcus aureus bloodstream infections: a systematic review and meta-analysis. JAMA. 2014;312(15):1552-1564.

References

 

1. Martin JH, Norris R, Barras M, et al. Therapeutic monitoring of vancomycin in adult patients: a consensus review of the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, and the Society of Infectious Diseases Pharmacists. Clin Biochem Rev. 2010;31(1):21-24.

2. van Hal SJ, Lodise TP, Paterson DL. The clinical significance of vancomycin minimum inhibitory concentration in Staphylococcus aureus infections: a systematic review and meta-analysis. Clin Infect Dis. 2012;54(6):755-771.

3. Jacob JT, DiazGranados CA. High vancomycin minimum inhibitory concentration and clinical outcomes in adults with methicillin-resistant Staphylococcus aureus infections: a meta-analysis. Int J Infect Dis. 2013;17(2):e93-e100.

4. Kalil AC, Van Schooneveld TC, Fey PD, Rupp ME. Association between vancomycin minimum inhibitory concentration and mortality among patients with Staphylococcus aureus bloodstream infections: a systematic review and meta-analysis. JAMA. 2014;312(15):1552-1564.

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Assessment of High Staphylococcus aureus MIC and Poor Patient Outcomes
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Staphylococcus aureus, infection, treatment, methicillin-resistant S aureus, antibiotic resistance, vancomycin, minimum inhibitory concentration, Kristin O'Reilly, Susanne Barnett
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Staphylococcus aureus, infection, treatment, methicillin-resistant S aureus, antibiotic resistance, vancomycin, minimum inhibitory concentration, Kristin O'Reilly, Susanne Barnett
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Alcohol and Insomnia: Dangerous Synergy

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Alcohol and Insomnia: Dangerous Synergy
Excessive drinking and insomnia are concerns on their own, but when combined, they may aggravate psychosocial problems.

According to a University of Pennsylvania study, 75% of 123 participants reported having insomnia: 36 reported mild insomnia, and 56 reported moderate-to-severe insomnia. On average, participants said they drank 15.7 drinks per day over the previous 90 days. The only difference between the insomnia groups was on the number of heavy-drinking days; those with moderate-severe insomnia had a significantly higher number. Insomniacs also reported a higher need for addiction treatment, compared with the no-insomnia subjects.

Individuals with moderate-to-severe insomnia had significantly higher scores on the total Short Index of Problems scale, as well as higher subscale scores for physical problems, social problems, and impulse control problems. They had the highest scores for serious conflict with others over the previous month and lifetime conflicts with spouses and mothers. Employment problems increased significantly with severity of insomnia symptoms.

Interestingly, those with only mild insomnia had the most lifetime driving violations. The researchers suggest that when insomnia is at its worst, it intensifies daytime sleepiness, which may keep the sufferer off the road.

Insomnia has been independently associated with psychosocial problems, the researchers note. It’s possible, they say, that people plagued with insomnia and its related symptoms of irritability and anxiety are self-medicating with alcohol. They add that suicidal ideation is common among this group of patients and may be exacerbated by insomnia.

Source
Chaudhary NS, Kampman KM, Kranzler HR, Grandner MA, Debbarma S, Chakravorty S. Addict Behav. 2015;50:165-172.
doi: 10.1016/j.addbeh.2015.06.021.

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Excessive drinking and insomnia are concerns on their own, but when combined, they may aggravate psychosocial problems.
Excessive drinking and insomnia are concerns on their own, but when combined, they may aggravate psychosocial problems.

According to a University of Pennsylvania study, 75% of 123 participants reported having insomnia: 36 reported mild insomnia, and 56 reported moderate-to-severe insomnia. On average, participants said they drank 15.7 drinks per day over the previous 90 days. The only difference between the insomnia groups was on the number of heavy-drinking days; those with moderate-severe insomnia had a significantly higher number. Insomniacs also reported a higher need for addiction treatment, compared with the no-insomnia subjects.

Individuals with moderate-to-severe insomnia had significantly higher scores on the total Short Index of Problems scale, as well as higher subscale scores for physical problems, social problems, and impulse control problems. They had the highest scores for serious conflict with others over the previous month and lifetime conflicts with spouses and mothers. Employment problems increased significantly with severity of insomnia symptoms.

Interestingly, those with only mild insomnia had the most lifetime driving violations. The researchers suggest that when insomnia is at its worst, it intensifies daytime sleepiness, which may keep the sufferer off the road.

Insomnia has been independently associated with psychosocial problems, the researchers note. It’s possible, they say, that people plagued with insomnia and its related symptoms of irritability and anxiety are self-medicating with alcohol. They add that suicidal ideation is common among this group of patients and may be exacerbated by insomnia.

Source
Chaudhary NS, Kampman KM, Kranzler HR, Grandner MA, Debbarma S, Chakravorty S. Addict Behav. 2015;50:165-172.
doi: 10.1016/j.addbeh.2015.06.021.

According to a University of Pennsylvania study, 75% of 123 participants reported having insomnia: 36 reported mild insomnia, and 56 reported moderate-to-severe insomnia. On average, participants said they drank 15.7 drinks per day over the previous 90 days. The only difference between the insomnia groups was on the number of heavy-drinking days; those with moderate-severe insomnia had a significantly higher number. Insomniacs also reported a higher need for addiction treatment, compared with the no-insomnia subjects.

Individuals with moderate-to-severe insomnia had significantly higher scores on the total Short Index of Problems scale, as well as higher subscale scores for physical problems, social problems, and impulse control problems. They had the highest scores for serious conflict with others over the previous month and lifetime conflicts with spouses and mothers. Employment problems increased significantly with severity of insomnia symptoms.

Interestingly, those with only mild insomnia had the most lifetime driving violations. The researchers suggest that when insomnia is at its worst, it intensifies daytime sleepiness, which may keep the sufferer off the road.

Insomnia has been independently associated with psychosocial problems, the researchers note. It’s possible, they say, that people plagued with insomnia and its related symptoms of irritability and anxiety are self-medicating with alcohol. They add that suicidal ideation is common among this group of patients and may be exacerbated by insomnia.

Source
Chaudhary NS, Kampman KM, Kranzler HR, Grandner MA, Debbarma S, Chakravorty S. Addict Behav. 2015;50:165-172.
doi: 10.1016/j.addbeh.2015.06.021.

Issue
Federal Practitioner - 32(11)
Issue
Federal Practitioner - 32(11)
Page Number
e4
Page Number
e4
Publications
Publications
Topics
Article Type
Display Headline
Alcohol and Insomnia: Dangerous Synergy
Display Headline
Alcohol and Insomnia: Dangerous Synergy
Legacy Keywords
insomnia, alcohol abuse, substance abuse, anxiety
Legacy Keywords
insomnia, alcohol abuse, substance abuse, anxiety
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Disallow All Ads
Alternative CME