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Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study

BACKGROUND: Given the controversy around the effectiveness of opioid treatment for chronic pain and the lack of detailed guidance for prescribing opioids in older adults, the objectives of this study were to estimate the trajectories and predictors of opioid use in older adults. METHODS: Data were e...

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Autores principales: Oh, GYeon, Abner, Erin L., Fardo, David W., Freeman, Patricia R., Moga, Daniela C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329525/
https://www.ncbi.nlm.nih.gov/pubmed/30633773
http://dx.doi.org/10.1371/journal.pone.0210341
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author Oh, GYeon
Abner, Erin L.
Fardo, David W.
Freeman, Patricia R.
Moga, Daniela C.
author_facet Oh, GYeon
Abner, Erin L.
Fardo, David W.
Freeman, Patricia R.
Moga, Daniela C.
author_sort Oh, GYeon
collection PubMed
description BACKGROUND: Given the controversy around the effectiveness of opioid treatment for chronic pain and the lack of detailed guidance for prescribing opioids in older adults, the objectives of this study were to estimate the trajectories and predictors of opioid use in older adults. METHODS: Data were extracted from the National Alzheimer’s Coordinating Center (2005–2017). Group-based trajectory modeling was used to identify the patterns of opioid use (any or strong) among participants age 65+. We used multivariable logistic regression with backward selection to evaluate demographics and comorbidities as potential predictors of trajectory membership. RESULTS: Among 13,059 participants, four trajectories were identified for the use of both any opioids and strong opioids (minimal-users, incident chronic-users, discontinuing-users, and prevalent chronic-users). For any opioids, female sex (adjusted odds ratio = 1.23; 95% confidence interval = 1.03–1.46), black vs. white (1.47; 1.18–1.82), year of education (0.96; 0.94–0.99), type of residence (independent group vs. private: 1.77; 1.38–2.26, care facility vs. private: 1.89; 1.20–2.97), hypertension (1.44; 1.20–1.72), cardiovascular disease (1.30; 1.09–1.55), urinary incontinence (1.45; 1.19–1.78), dementia (0.73; 0.57–0.92), number of medications (1 to 4 vs. none: 0.48; 0.36–0.64, 5 or more vs. none: 0.67; 0.50–0.88), and antidepressant agent (1.38; 1.14–1.67) were associated with incident chronic-use vs. non-use. For strong opioids, female sex (1.27; 1.04–1.56), type of residence (independent group vs. private: 1.90; 1.43–2.53, care facility vs. private: 2.37; 1.44–3.90), current smoking (1.68; 1.09–2.60), hypertension (1.49; 1.21–1.83), urinary incontinence (1.45; 1.14–1.84), dementia (0.73; 0.55–0.97), number of medications (1 to 4 vs. none: 0.46; 0.32–0.65, 5 or more vs. none: 0.59; 0.42–0.83), and antidepressant agent (1.55; 1.24–1.93) were associated with incident chronic-use vs. non-use. CONCLUSION: Given that chronic opioid use was more prevalent in participants who were more vulnerable (i.e., older age, with multiple comorbidities, and polypharmacy), further studies should evaluate the safety and efficacy of using opioids in this population.
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spelling pubmed-63295252019-02-01 Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study Oh, GYeon Abner, Erin L. Fardo, David W. Freeman, Patricia R. Moga, Daniela C. PLoS One Research Article BACKGROUND: Given the controversy around the effectiveness of opioid treatment for chronic pain and the lack of detailed guidance for prescribing opioids in older adults, the objectives of this study were to estimate the trajectories and predictors of opioid use in older adults. METHODS: Data were extracted from the National Alzheimer’s Coordinating Center (2005–2017). Group-based trajectory modeling was used to identify the patterns of opioid use (any or strong) among participants age 65+. We used multivariable logistic regression with backward selection to evaluate demographics and comorbidities as potential predictors of trajectory membership. RESULTS: Among 13,059 participants, four trajectories were identified for the use of both any opioids and strong opioids (minimal-users, incident chronic-users, discontinuing-users, and prevalent chronic-users). For any opioids, female sex (adjusted odds ratio = 1.23; 95% confidence interval = 1.03–1.46), black vs. white (1.47; 1.18–1.82), year of education (0.96; 0.94–0.99), type of residence (independent group vs. private: 1.77; 1.38–2.26, care facility vs. private: 1.89; 1.20–2.97), hypertension (1.44; 1.20–1.72), cardiovascular disease (1.30; 1.09–1.55), urinary incontinence (1.45; 1.19–1.78), dementia (0.73; 0.57–0.92), number of medications (1 to 4 vs. none: 0.48; 0.36–0.64, 5 or more vs. none: 0.67; 0.50–0.88), and antidepressant agent (1.38; 1.14–1.67) were associated with incident chronic-use vs. non-use. For strong opioids, female sex (1.27; 1.04–1.56), type of residence (independent group vs. private: 1.90; 1.43–2.53, care facility vs. private: 2.37; 1.44–3.90), current smoking (1.68; 1.09–2.60), hypertension (1.49; 1.21–1.83), urinary incontinence (1.45; 1.14–1.84), dementia (0.73; 0.55–0.97), number of medications (1 to 4 vs. none: 0.46; 0.32–0.65, 5 or more vs. none: 0.59; 0.42–0.83), and antidepressant agent (1.55; 1.24–1.93) were associated with incident chronic-use vs. non-use. CONCLUSION: Given that chronic opioid use was more prevalent in participants who were more vulnerable (i.e., older age, with multiple comorbidities, and polypharmacy), further studies should evaluate the safety and efficacy of using opioids in this population. Public Library of Science 2019-01-11 /pmc/articles/PMC6329525/ /pubmed/30633773 http://dx.doi.org/10.1371/journal.pone.0210341 Text en © 2019 Oh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Oh, GYeon
Abner, Erin L.
Fardo, David W.
Freeman, Patricia R.
Moga, Daniela C.
Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study
title Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study
title_full Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study
title_fullStr Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study
title_full_unstemmed Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study
title_short Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study
title_sort patterns and predictors of chronic opioid use in older adults: a retrospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329525/
https://www.ncbi.nlm.nih.gov/pubmed/30633773
http://dx.doi.org/10.1371/journal.pone.0210341
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