Association between prescription opioid use and unplanned intensive care unit admission and mortality in the adult population of the Netherlands: a registry study.

all-cause mortality opioid prescription status population-based cohort prior opioid use real-world data registry-based data set unplanned ICU admission

Journal

British journal of anaesthesia
ISSN: 1471-6771
Titre abrégé: Br J Anaesth
Pays: England
ID NLM: 0372541

Informations de publication

Date de publication:
08 2022
Historique:
received: 03 01 2022
revised: 11 05 2022
accepted: 14 05 2022
pubmed: 26 6 2022
medline: 27 7 2022
entrez: 25 6 2022
Statut: ppublish

Résumé

Opioid overdoses are increasing in the Netherlands, and there may be other harms associated with prescription opioid use. We investigated the relationship between prescription opioid use and unplanned ICU admission and death. This is an analysis of linked government registries of the adult Dutch population (age ≥18 years) alive on January 1, 2018. The co-primary outcomes were ICU admission and death up to 1 year. Crude event rates and event-specific adjusted hazard rates (aHRs) with 95% confidence intervals (CIs) were calculated using multivariable analysis for people with and without exposure to an opioid prescription. We included 13 813 173 individuals, of whom 32 831 were admitted to the ICU and 152 259 died during the 1 year follow-up. Rates of ICU admission and death amongst people who reimbursed an opioid prescription were 5.87 and 62.2 per 1000 person-years, and rates of ICU admission and death in those without a prescription were 2.03 and 6.34, respectively. Exposed individuals had a higher rate of both ICU admission (aHR 2.53; 95% CI: 2.45-2.60) and death (aHR 7.11; 95% CI: 7.02-7.19) compared with unexposed individuals. Both outcomes were more frequent amongst prescription opioid users across a range of subgroups. The rate of ICU admission and death was higher amongst prescription opioid users than non-users in the full cohort and in subgroups. These findings represent an important public health concern.

Sections du résumé

BACKGROUND
Opioid overdoses are increasing in the Netherlands, and there may be other harms associated with prescription opioid use. We investigated the relationship between prescription opioid use and unplanned ICU admission and death.
METHODS
This is an analysis of linked government registries of the adult Dutch population (age ≥18 years) alive on January 1, 2018. The co-primary outcomes were ICU admission and death up to 1 year. Crude event rates and event-specific adjusted hazard rates (aHRs) with 95% confidence intervals (CIs) were calculated using multivariable analysis for people with and without exposure to an opioid prescription.
RESULTS
We included 13 813 173 individuals, of whom 32 831 were admitted to the ICU and 152 259 died during the 1 year follow-up. Rates of ICU admission and death amongst people who reimbursed an opioid prescription were 5.87 and 62.2 per 1000 person-years, and rates of ICU admission and death in those without a prescription were 2.03 and 6.34, respectively. Exposed individuals had a higher rate of both ICU admission (aHR 2.53; 95% CI: 2.45-2.60) and death (aHR 7.11; 95% CI: 7.02-7.19) compared with unexposed individuals. Both outcomes were more frequent amongst prescription opioid users across a range of subgroups.
CONCLUSIONS
The rate of ICU admission and death was higher amongst prescription opioid users than non-users in the full cohort and in subgroups. These findings represent an important public health concern.

Identifiants

pubmed: 35752474
pii: S0007-0912(22)00247-1
doi: 10.1016/j.bja.2022.05.009
pii:
doi:

Substances chimiques

Analgesics, Opioid 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

254-262

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Ajda Bedene (A)

Department of Anesthesiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.

Willem M Lijfering (WM)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.

M Sesmu Arbous (MS)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Intensive Care, Leiden University Medical Center, Leiden, the Netherlands.

Frits R Rosendaal (FR)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.

Albert Dahan (A)

Department of Anesthesiology, Leiden University Medical Center, Leiden, the Netherlands.

Eveline L A van Dorp (ELA)

Department of Anesthesiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: E.L.A.van_Dorp@lumc.nl.

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