Strategies to Identify Patient Risks of Prescription Opioid Addiction When Initiating Opioids for Pain A Systematic Review

被引:121
作者
Klimas, Jan [1 ,2 ,3 ]
Gorfinkel, Lauren [4 ]
Fairbairn, Nadia [1 ,3 ]
Amato, Laura [5 ]
Ahamad, Keith [1 ,3 ]
Nolan, Seonaid [1 ,3 ]
Simel, David L. [6 ,7 ]
Wood, Evan [1 ,3 ]
机构
[1] British Columbia Ctr Subst Use, 400-1045 Howe St, Vancouver, BC V6Z 1Y6, Canada
[2] Univ Coll Dublin, Hlth Sci Ctr, Sch Med, Dublin, Ireland
[3] Univ British Columbia, St Pauls Hosp, Dept Med, Vancouver, BC, Canada
[4] Columbia Univ, Mailman Sch Publ Hlth, New York, NY USA
[5] Lazio Reg Hlth Serv, Dept Epidemiol, Rome, Italy
[6] Durham Vet Affairs Med Ctr, Durham, NC USA
[7] Duke Univ, Dept Med, Durham, NC USA
基金
加拿大健康研究院;
关键词
ABUSE PREDICTORS; THERAPY; VALIDATION; DEPENDENCE; MISUSE;
D O I
10.1001/jamanetworkopen.2019.3365
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IMPORTANCE Although prescription opioid use disorder is associated with substantial harms, strategies to identify patients with pain among whom prescription opioids can be safely prescribed have not been systematically reviewed. OBJECTIVE To review the evidence examining factors associated with opioid addiction and screening tools for identifying adult patients at high vs low risk of developing symptoms of prescription opioid addiction when initiating prescription opioids for pain. DATA SOURCES MEDLINE and Embase (January 1946 to November 2018) were searched for articles investigating risks of prescription opioid addiction. STUDY SELECTION Original studies that were included compared symptoms, signs, risk factors, and screening tools among patients who developed prescription opioid addiction and those who did not. DATA EXTRACTION AND SYNTHESIS Two investigators independently assessed quality to exclude biased or unreliable study designs and extracted data from higher quality studies. The Preferred Reporting Items for Systematic Reviews and Meta-analyses of Diagnostic Accuracy Studies (PRISMA-DTA) reporting guideline was followed. MAIN OUTCOMES AND MEASURES Likelihood ratios (LRs) for risk factors and screening tools were calculated. RESULTS Of 1287 identified studies, 6 high-quality studies were included in the qualitative synthesis and 4 were included in the quantitative synthesis. The 4 high-quality studies included in the quantitative synthesis were all retrospective studies including a total of 2 888 346 patients with 4470 cases that met the authors' definitions of prescription opioid addiction. A history of opioid use disorder (LR range, 17-22) or other substance use disorder (LR range, 4.2-17), certain mental health diagnoses (eg, personality disorder: LR, 27; 95% CI, 18-41), and concomitant prescription of certain psychiatric medications (eg, atypical antipsychotics: LR, 17; 95% CI, 15-18) appeared useful for identifying patients at high risk of opioid addiction. Among individual findings, only the absence of a mood disorder (negative LR, 0.50; 95% CI, 0.45-0.52) was associated with a lower risk of opioid addiction. Despite their widespread use, most screening tools involving combinations of questions were based on low-quality studies or, when diagnostic performance was assessed among high-quality studies, demonstrated poor performance in helping to identify patients at high vs low risk. CONCLUSIONS AND RELEVANCE While a history of substance use disorder, certain mental health diagnoses, and concomitant prescription of certain psychiatric medications appeared useful for identifying patients at higher risk, few quality studies were available and no symptoms, signs, or screening tools were particularly useful for identifying those at lower risk.
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页数:11
相关论文
共 36 条
[1]   Validation and clinical application of the Screener and Opioid Assessment for Patients with Pain (SOAPP) [J].
Akbik, Hammam ;
Butler, Stephen F. ;
Budman, Simon H. ;
Fernandez, Katherine ;
Katz, Nathaniel P. ;
Jamison, Robert N. .
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2006, 32 (03) :287-293
[2]  
[Anonymous], 2021, ETG COMPL ROL AN CHR
[3]   Increasing Evidence for the Limited Role of Opioids to Treat Chronic Noncancer Pain [J].
Ashburn, Michael A. ;
Fleisher, Lee A. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2018, 320 (23) :2427-2428
[4]   Instruments to assess patient-reported safety, efficacy, or misuse of current opioid therapy for chronic pain: A systematic review [J].
Becker, William C. ;
Fraenkel, Liana ;
Edelman, E. Jennifer ;
Holt, Stephen R. ;
Glover, Janis ;
Kerns, Robert D. ;
Fiellin, David A. .
PAIN, 2013, 154 (06) :905-916
[5]  
Borenstein JT, 2013, MICRO NANO TECHNOL, P3
[6]   Opioids for Chronic Noncancer Pain A Systematic Review and Meta-analysis [J].
Busse, Jason W. ;
Wang, Li ;
Kamaleldin, Mostafa ;
Craigie, Samantha ;
Riva, John J. ;
Montoya, Luis ;
Mulla, Sohail M. ;
Lopes, Luciane C. ;
Vogel, Nicole ;
Chen, Eric ;
Kirmayr, Karin ;
De Oliveira, Kyle ;
Olivieri, Lori ;
Kaushal, Alka ;
Chaparro, Luis E. ;
Oyberman, Inna ;
Agarwal, Arnav ;
Couban, Rachel ;
Tsoi, Ludwig ;
Lam, Tommy ;
Vandvik, Per Olav ;
Hsu, Sandy ;
Bala, Malgorzata M. ;
Schandelmaier, Stefan ;
Scheidecker, Anne ;
Ebrahim, Shanil ;
Ashoorion, Vahid ;
Rehman, Yasir ;
Hong, Patrick J. ;
Ross, Stephanie ;
Johnston, Bradley C. ;
Kunz, Regina ;
Sun, Xin ;
Buckley, Norman ;
Sessler, Daniel I. ;
Guyatt, Gordon H. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2018, 320 (23) :2448-2460
[7]   Patterns of Potential Opioid Misuse and Subsequent Adverse Outcomes in Medicare, 2008 to 2012 [J].
Carey, Colleen M. ;
Jena, Anupam B. ;
Barnett, Michael L. .
ANNALS OF INTERNAL MEDICINE, 2018, 168 (12) :837-+
[8]  
Centers for Disease Control and Prevention, 2018, US OP PRESCR RAT MAP
[9]   The Effectiveness and Risks of Long-Term Opioid Therapy for Chronic Pain: A Systematic Review for a National Institutes of Health Pathways to Prevention Workshop [J].
Chou, Roger ;
Turner, Judith A. ;
Devine, Emily B. ;
Hansen, Ryan N. ;
Sullivan, Sean D. ;
Blazina, Ian ;
Dana, Tracy ;
Bougatsos, Christina ;
Deyo, Richard A. .
ANNALS OF INTERNAL MEDICINE, 2015, 162 (04) :276-+
[10]   Factors predicting development of opioid use disorders among individuals who receive an initial opioid prescription: Mathematical modeling using a database of commercially-insured individuals [J].
Cochran, Bryan N. ;
Flentje, Annesa ;
Heck, Nicholas C. ;
Van Den Bos, Jill ;
Perlman, Dan ;
Torres, Jorge ;
Valuck, Robert ;
Carter, Jean .
DRUG AND ALCOHOL DEPENDENCE, 2014, 138 :202-208