Impact of 30-day prescribed opioid dose trajectory on fatal overdose risk: A population-based, statewide cohort study.

controlled substances drug overdose drug tapering opiate overdose opioid analgesics prescription drug monitoring programs risk factors

Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
04 Oct 2023
Historique:
received: 21 03 2023
accepted: 07 09 2023
medline: 5 10 2023
pubmed: 5 10 2023
entrez: 4 10 2023
Statut: aheadofprint

Résumé

Both increases and decreases in patients' prescribed daily opioid dose have been linked to increased overdose risk, but associations between 30-day dose trajectories and subsequent overdose risk have not been systematically examined. To examine the associations between 30-day prescribed opioid dose trajectories and fatal opioid overdose risk during the subsequent 15 days. Statewide cohort study using linked prescription drug monitoring program and death certificate data. We constructed a multivariable Cox proportional hazards model that accounted for time-varying prescription-, prescriber-, and pharmacy-level factors. All patients prescribed an opioid analgesic in California from March to December, 2013 (5,326,392 patients). Dependent variable: fatal drug overdose involving opioids. Primary independent variable: a 16-level variable denoting all possible opioid dose trajectories using the following categories for current and 30-day previously prescribed daily dose: 0-29, 30-59, 60-89, or ≥90 milligram morphine equivalents (MME). Relative to patients prescribed a stable daily dose of 0-29 MME, large (≥2 categories) dose increases and having a previous or current dose ≥60 MME per day were associated with significantly greater 15-day overdose risk. Patients whose dose decreased from ≥90 to 0-29 MME per day had significantly greater overdose risk compared to both patients prescribed a stable daily dose of ≥90 MME (aHR 3.56, 95%CI 2.24-5.67) and to patients prescribed a stable daily dose of 0-29 MME (aHR 7.87, 95%CI 5.49-11.28). Patients prescribed benzodiazepines also had significantly greater overdose risk; being prescribed Z-drugs, carisoprodol, or psychostimulants was not associated with overdose risk. Large (≥2 categories) 30-day dose increases and decreases were both associated with increased risk of fatal opioid overdose, particularly for patients taking ≥90 MME whose opioids were abruptly stopped. Results align with 2022 CDC guidelines that urge caution when reducing opioid doses for patients taking long-term opioid for chronic pain.

Sections du résumé

BACKGROUND BACKGROUND
Both increases and decreases in patients' prescribed daily opioid dose have been linked to increased overdose risk, but associations between 30-day dose trajectories and subsequent overdose risk have not been systematically examined.
OBJECTIVE OBJECTIVE
To examine the associations between 30-day prescribed opioid dose trajectories and fatal opioid overdose risk during the subsequent 15 days.
DESIGN METHODS
Statewide cohort study using linked prescription drug monitoring program and death certificate data. We constructed a multivariable Cox proportional hazards model that accounted for time-varying prescription-, prescriber-, and pharmacy-level factors.
PARTICIPANTS METHODS
All patients prescribed an opioid analgesic in California from March to December, 2013 (5,326,392 patients).
MAIN MEASURES METHODS
Dependent variable: fatal drug overdose involving opioids. Primary independent variable: a 16-level variable denoting all possible opioid dose trajectories using the following categories for current and 30-day previously prescribed daily dose: 0-29, 30-59, 60-89, or ≥90 milligram morphine equivalents (MME).
KEY RESULTS RESULTS
Relative to patients prescribed a stable daily dose of 0-29 MME, large (≥2 categories) dose increases and having a previous or current dose ≥60 MME per day were associated with significantly greater 15-day overdose risk. Patients whose dose decreased from ≥90 to 0-29 MME per day had significantly greater overdose risk compared to both patients prescribed a stable daily dose of ≥90 MME (aHR 3.56, 95%CI 2.24-5.67) and to patients prescribed a stable daily dose of 0-29 MME (aHR 7.87, 95%CI 5.49-11.28). Patients prescribed benzodiazepines also had significantly greater overdose risk; being prescribed Z-drugs, carisoprodol, or psychostimulants was not associated with overdose risk.
CONCLUSIONS CONCLUSIONS
Large (≥2 categories) 30-day dose increases and decreases were both associated with increased risk of fatal opioid overdose, particularly for patients taking ≥90 MME whose opioids were abruptly stopped. Results align with 2022 CDC guidelines that urge caution when reducing opioid doses for patients taking long-term opioid for chronic pain.

Identifiants

pubmed: 37794260
doi: 10.1007/s11606-023-08419-6
pii: 10.1007/s11606-023-08419-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIDA NIH HHS
ID : R01 DA044282
Pays : United States
Organisme : NIDA NIH HHS
ID : R01DA044282
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Stephen G Henry (SG)

University of California Davis Center for Healthcare Policy and Research; University of California, Davis, California, Sacramento, USA. sghenry@ucdavis.edu.
Department of Internal Medicine, University of California, Davis, California, Sacramento, USA. sghenry@ucdavis.edu.

Shao-You Fang (SY)

University of California Davis Center for Healthcare Policy and Research; University of California, Davis, California, Sacramento, USA.

Andrew J Crawford (AJ)

Violence Prevention Research Program; University of California, Davis, California, Sacramento, USA.
Department of Emergency Medicine, University of California, Davis, California, Sacramento, USA.

Garen J Wintemute (GJ)

Violence Prevention Research Program; University of California, Davis, California, Sacramento, USA.
Department of Emergency Medicine, University of California, Davis, California, Sacramento, USA.

Iraklis Erik Tseregounis (IE)

University of California Davis Center for Healthcare Policy and Research; University of California, Davis, California, Sacramento, USA.
Department of Internal Medicine, University of California, Davis, California, Sacramento, USA.

James J Gasper (JJ)

Department of Family and Community Medicine, University of California, San Francisco, California, San Francisco, USA.

Aaron Shev (A)

Violence Prevention Research Program; University of California, Davis, California, Sacramento, USA.
Department of Emergency Medicine, University of California, Davis, California, Sacramento, USA.

Abigail R Cartus (AR)

Department of Epidemiology, Brown University School of Public Health, Rhode Island, Providence, USA.

Brandon D L Marshall (BDL)

Department of Epidemiology, Brown University School of Public Health, Rhode Island, Providence, USA.

Daniel J Tancredi (DJ)

University of California Davis Center for Healthcare Policy and Research; University of California, Davis, California, Sacramento, USA.
Department of Pediatrics, University of California, Davis, California, Sacramento, USA.

Magdalena Cerdá (M)

Department of Population Health, Center for Opioid Epidemiology and Policy; New York University Grossman School of Medicine, New York City, New York, USA.

Susan L Stewart (SL)

Department of Public Health Sciences, University of California, Davis, California, Davis, USA.

Classifications MeSH