Cargando…

Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk?

BACKGROUND: Due to the loss of tolerance to opioids during medication-assisted treatment (MAT), this period may represent a time of heightened risk for overdose. Identifying factors associated with increased risk of overdose during treatment is therefore paramount to improving outcomes. We aimed to...

Descripción completa

Detalles Bibliográficos
Autores principales: Au, Vivian Y. O., Rosic, Tea, Sanger, Nitika, Hillmer, Alannah, Chawar, Caroul, Worster, Andrew, Marsh, David C., Thabane, Lehana, Samaan, Zainab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265117/
https://www.ncbi.nlm.nih.gov/pubmed/34238301
http://dx.doi.org/10.1186/s12954-021-00521-4
_version_ 1783719705508315136
author Au, Vivian Y. O.
Rosic, Tea
Sanger, Nitika
Hillmer, Alannah
Chawar, Caroul
Worster, Andrew
Marsh, David C.
Thabane, Lehana
Samaan, Zainab
author_facet Au, Vivian Y. O.
Rosic, Tea
Sanger, Nitika
Hillmer, Alannah
Chawar, Caroul
Worster, Andrew
Marsh, David C.
Thabane, Lehana
Samaan, Zainab
author_sort Au, Vivian Y. O.
collection PubMed
description BACKGROUND: Due to the loss of tolerance to opioids during medication-assisted treatment (MAT), this period may represent a time of heightened risk for overdose. Identifying factors associated with increased risk of overdose during treatment is therefore paramount to improving outcomes. We aimed to determine the prevalence of opioid overdoses in patients receiving MAT. Additionally, we explored factors associated with opioid overdose during MAT and the association between length of time enrolled in MAT and overdose. METHODS: Data were collected prospectively from 2360 participants receiving outpatient MAT in Ontario, Canada. Participants were divided into three groups by overdose status: no history of overdose, any lifetime history of overdose, and emergency department visit for opioid overdose in the last year. We used a multivariate multinomial regression model to assess demographic and clinical factors associated with overdose status. RESULTS: Twenty-four percent of participants reported a lifetime history of overdose (n = 562), and 8% reported an emergency department (ED) visit for opioid overdose in the last year (n = 179). Individuals with a recent ED visit for opioid overdose were in treatment for shorter duration (odds ratio [OR] 0.92, 95% confidence interval [CI] 0.87, 0.97, p = 0.001). Individuals with a lifetime or recent history of overdose were more likely to be younger in age (OR 0.93, 95% CI 0.89, 0.98, p = 0.007 and OR 0.84, 95% CI 0.77, 0.92, p < 0.001, respectively), report more physical symptoms (OR 1.02, 95% CI 1.01, 1.03, p = 0.005 and OR 1.03, 95% CI 1.01, 1.05, p = 0.005, respectively), and had higher rates of non-prescription benzodiazepine use (OR 1.87, 95% CI 1.32, 2.66, p < 0.001 and OR 2.34, 95% CI 1.43, 3.81, p = 0.001, respectively) compared to individuals with no history of overdose. CONCLUSIONS: A considerable number of patients enrolled in MAT have experienced overdose. Our study highlights that there are identifiable factors associated with a patient’s overdose status that may represent areas for intervention. In particular, longer duration in MAT is associated with a decreased risk of overdose.
format Online
Article
Text
id pubmed-8265117
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-82651172021-07-08 Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk? Au, Vivian Y. O. Rosic, Tea Sanger, Nitika Hillmer, Alannah Chawar, Caroul Worster, Andrew Marsh, David C. Thabane, Lehana Samaan, Zainab Harm Reduct J Research BACKGROUND: Due to the loss of tolerance to opioids during medication-assisted treatment (MAT), this period may represent a time of heightened risk for overdose. Identifying factors associated with increased risk of overdose during treatment is therefore paramount to improving outcomes. We aimed to determine the prevalence of opioid overdoses in patients receiving MAT. Additionally, we explored factors associated with opioid overdose during MAT and the association between length of time enrolled in MAT and overdose. METHODS: Data were collected prospectively from 2360 participants receiving outpatient MAT in Ontario, Canada. Participants were divided into three groups by overdose status: no history of overdose, any lifetime history of overdose, and emergency department visit for opioid overdose in the last year. We used a multivariate multinomial regression model to assess demographic and clinical factors associated with overdose status. RESULTS: Twenty-four percent of participants reported a lifetime history of overdose (n = 562), and 8% reported an emergency department (ED) visit for opioid overdose in the last year (n = 179). Individuals with a recent ED visit for opioid overdose were in treatment for shorter duration (odds ratio [OR] 0.92, 95% confidence interval [CI] 0.87, 0.97, p = 0.001). Individuals with a lifetime or recent history of overdose were more likely to be younger in age (OR 0.93, 95% CI 0.89, 0.98, p = 0.007 and OR 0.84, 95% CI 0.77, 0.92, p < 0.001, respectively), report more physical symptoms (OR 1.02, 95% CI 1.01, 1.03, p = 0.005 and OR 1.03, 95% CI 1.01, 1.05, p = 0.005, respectively), and had higher rates of non-prescription benzodiazepine use (OR 1.87, 95% CI 1.32, 2.66, p < 0.001 and OR 2.34, 95% CI 1.43, 3.81, p = 0.001, respectively) compared to individuals with no history of overdose. CONCLUSIONS: A considerable number of patients enrolled in MAT have experienced overdose. Our study highlights that there are identifiable factors associated with a patient’s overdose status that may represent areas for intervention. In particular, longer duration in MAT is associated with a decreased risk of overdose. BioMed Central 2021-07-08 /pmc/articles/PMC8265117/ /pubmed/34238301 http://dx.doi.org/10.1186/s12954-021-00521-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Au, Vivian Y. O.
Rosic, Tea
Sanger, Nitika
Hillmer, Alannah
Chawar, Caroul
Worster, Andrew
Marsh, David C.
Thabane, Lehana
Samaan, Zainab
Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk?
title Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk?
title_full Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk?
title_fullStr Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk?
title_full_unstemmed Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk?
title_short Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk?
title_sort factors associated with opioid overdose during medication-assisted treatment: how can we identify individuals at risk?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265117/
https://www.ncbi.nlm.nih.gov/pubmed/34238301
http://dx.doi.org/10.1186/s12954-021-00521-4
work_keys_str_mv AT auvivianyo factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk
AT rosictea factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk
AT sangernitika factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk
AT hillmeralannah factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk
AT chawarcaroul factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk
AT worsterandrew factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk
AT marshdavidc factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk
AT thabanelehana factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk
AT samaanzainab factorsassociatedwithopioidoverdoseduringmedicationassistedtreatmenthowcanweidentifyindividualsatrisk