Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study
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. Data were extracted from the Nat...
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description | 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.
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.
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.
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. |
doi_str_mv | 10.1371/journal.pone.0210341 |
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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.
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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0210341</identifier><identifier>PMID: 30633773</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adults ; Age ; Aged ; Aged, 80 and over ; Aging ; Alzheimer's disease ; Analgesics ; Analgesics, Opioid - administration & dosage ; Analgesics, Opioid - therapeutic use ; Antidepressants ; Blood pressure ; Cancer ; Cardiovascular diseases ; Care and treatment ; Chronic pain ; Chronic Pain - drug therapy ; Chronic Pain - epidemiology ; Cohort analysis ; Cohort Studies ; Comorbidity ; Confidence intervals ; Databases, Factual ; Dementia ; Dementia disorders ; Demographics ; Demography ; Drugs ; Elderly ; Epidemiology ; Family medical history ; Female ; Health aspects ; Humans ; Hypertension ; Logistic Models ; Male ; Medicine and Health Sciences ; Methods ; Narcotics ; Older people ; Opiates ; Opioid-Related Disorders - epidemiology ; Opioids ; Pain ; Pain management ; People and Places ; Pharmacy ; Polypharmacy ; Population ; Public health ; Residence ; Retrospective Studies ; Risk factors ; Safety and security measures ; Sex ; Sex Factors ; Sex ratio ; Smoking ; Sociology ; Statistical analysis ; Trajectory analysis ; Treatment outcomes ; Trends ; United States - epidemiology ; Urinary incontinence</subject><ispartof>PloS one, 2019-01, Vol.14 (1), p.e0210341-e0210341</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Oh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Oh et al 2019 Oh et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c611t-f3a538d13c0c1026e5da3a642e09ea92633b1d38f09404c7caf9b19e7553974f3</citedby><cites>FETCH-LOGICAL-c611t-f3a538d13c0c1026e5da3a642e09ea92633b1d38f09404c7caf9b19e7553974f3</cites><orcidid>0000-0001-7203-8460</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329525/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329525/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27321,27901,27902,33751,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30633773$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oh, GYeon</creatorcontrib><creatorcontrib>Abner, Erin L</creatorcontrib><creatorcontrib>Fardo, David W</creatorcontrib><creatorcontrib>Freeman, Patricia R</creatorcontrib><creatorcontrib>Moga, Daniela C</creatorcontrib><title>Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.
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.</description><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Alzheimer's disease</subject><subject>Analgesics</subject><subject>Analgesics, Opioid - administration & dosage</subject><subject>Analgesics, Opioid - therapeutic use</subject><subject>Antidepressants</subject><subject>Blood pressure</subject><subject>Cancer</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Chronic pain</subject><subject>Chronic Pain - drug therapy</subject><subject>Chronic Pain - epidemiology</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Comorbidity</subject><subject>Confidence intervals</subject><subject>Databases, Factual</subject><subject>Dementia</subject><subject>Dementia disorders</subject><subject>Demographics</subject><subject>Demography</subject><subject>Drugs</subject><subject>Elderly</subject><subject>Epidemiology</subject><subject>Family medical history</subject><subject>Female</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Narcotics</subject><subject>Older people</subject><subject>Opiates</subject><subject>Opioid-Related Disorders - epidemiology</subject><subject>Opioids</subject><subject>Pain</subject><subject>Pain management</subject><subject>People and Places</subject><subject>Pharmacy</subject><subject>Polypharmacy</subject><subject>Population</subject><subject>Public health</subject><subject>Residence</subject><subject>Retrospective Studies</subject><subject>Risk factors</subject><subject>Safety and security measures</subject><subject>Sex</subject><subject>Sex Factors</subject><subject>Sex ratio</subject><subject>Smoking</subject><subject>Sociology</subject><subject>Statistical analysis</subject><subject>Trajectory analysis</subject><subject>Treatment outcomes</subject><subject>Trends</subject><subject>United States - epidemiology</subject><subject>Urinary incontinence</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><sourceid>DOA</sourceid><recordid>eNptkkuLFDEUhQtRnHH0H4gGBHHTbR5VqYoLoRl8DAzoQlcuQjq56U6TScokNTD_3rRdM3SLq4Tky7nn3NymeUnwkrCevN_FKQXll2MMsMSUYNaSR805EYwuOMXs8dH-rHmW8w7jjg2cP23OGOaM9T07b359V6VAChmpYNCYwDhdYsooWqS3KQanURxddAZNGZALKHoDCSkz-ZI_oBVKUFLMI-jibgHpuI2poFwmc_e8eWKVz_BiXi-an58__bj8urj-9uXqcnW90JyQsrBMVV-GMI01wZRDZxRTvKWABShBq9U1MWywWLS41b1WVqyJgL7rmOhbyy6a1wfd0ccs575kSQnnrBVCkEpcHQgT1U6Oyd2odCejcvLvQUwbqVJx2oM0mqqhGzqg3LTDWqmeWEasXVPSYWt11fo4V5vWN2A0hJKUPxE9vQluKzfxVnJGRUe7KvBuFkjx9wS5yBuXNXivAsRp77sXjNd0e_TNP-j_083URtUALthY6-q9qFx1XJBuaOlQqbdH1BaUL9sc_VRcDPkUbA-grv-aE9iHbATL_ejdm5D70ZPz6NVnr4778vDoftbYHxh31hs</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Oh, GYeon</creator><creator>Abner, Erin L</creator><creator>Fardo, David W</creator><creator>Freeman, Patricia R</creator><creator>Moga, Daniela C</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U4</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHHNA</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWI</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>WZK</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7203-8460</orcidid></search><sort><creationdate>20190101</creationdate><title>Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study</title><author>Oh, GYeon ; Abner, Erin L ; Fardo, David W ; Freeman, Patricia R ; Moga, Daniela C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c611t-f3a538d13c0c1026e5da3a642e09ea92633b1d38f09404c7caf9b19e7553974f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adults</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Alzheimer's disease</topic><topic>Analgesics</topic><topic>Analgesics, Opioid - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oh, GYeon</au><au>Abner, Erin L</au><au>Fardo, David W</au><au>Freeman, Patricia R</au><au>Moga, Daniela C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>14</volume><issue>1</issue><spage>e0210341</spage><epage>e0210341</epage><pages>e0210341-e0210341</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30633773</pmid><doi>10.1371/journal.pone.0210341</doi><orcidid>https://orcid.org/0000-0001-7203-8460</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2019-01, Vol.14 (1), p.e0210341-e0210341 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Sociological Abstracts |
subjects | Adults Age Aged Aged, 80 and over Aging Alzheimer's disease Analgesics Analgesics, Opioid - administration & dosage Analgesics, Opioid - therapeutic use Antidepressants Blood pressure Cancer Cardiovascular diseases Care and treatment Chronic pain Chronic Pain - drug therapy Chronic Pain - epidemiology Cohort analysis Cohort Studies Comorbidity Confidence intervals Databases, Factual Dementia Dementia disorders Demographics Demography Drugs Elderly Epidemiology Family medical history Female Health aspects Humans Hypertension Logistic Models Male Medicine and Health Sciences Methods Narcotics Older people Opiates Opioid-Related Disorders - epidemiology Opioids Pain Pain management People and Places Pharmacy Polypharmacy Population Public health Residence Retrospective Studies Risk factors Safety and security measures Sex Sex Factors Sex ratio Smoking Sociology Statistical analysis Trajectory analysis Treatment outcomes Trends United States - epidemiology Urinary incontinence |
title | Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study |
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