Predictors of chronic opioid therapy in Medicaid beneficiaries with HIV who initiated antiretroviral therapy.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
29 07 2021
Historique:
received: 12 04 2021
accepted: 15 07 2021
entrez: 30 7 2021
pubmed: 31 7 2021
medline: 15 12 2021
Statut: epublish

Résumé

The factors associated with chronic opioid therapy (COT) in patients with HIV is understudied. Using Medicaid data (2002-2009), this retrospective cohort study examines COT in beneficiaries with HIV who initiated standard combination anti-retroviral therapy (cART). We used generalized estimating equations on logistic regression models with backward selection to identify significant predictors of COT initiation. COT was initiated among 1014 out of 9615 beneficiaries with HIV (male: 10.4%; female: 10.7%). Those with older age, any malignancy, Hepatitis C infection, back pain, arthritis, neuropathy pain, substance use disorder, polypharmacy, (use of) benzodiazepines, gabapentinoids, antidepressants, and prior opioid therapies were positively associated with COT. In sex-stratified analyses, multiple predictors were shared between male and female beneficiaries; however, chronic obstructive pulmonary disease, liver disease, any malignancy, and antipsychotic therapy were unique to female beneficiaries. Comorbidities and polypharmacy were important predictors of COT in Medicaid beneficiaries with HIV who initiated cART.

Identifiants

pubmed: 34326369
doi: 10.1038/s41598-021-94690-8
pii: 10.1038/s41598-021-94690-8
pmc: PMC8322087
doi:

Substances chimiques

Analgesics, Opioid 0
Anti-Retroviral Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15503

Informations de copyright

© 2021. The Author(s).

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Auteurs

GYeon Oh (G)

Department of Epidemiology, University of Kentucky, Lexington, KY, USA.
Department of Pharmacy Practice and Science, University of Kentucky, Lexington, KY, USA.
Institute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington, KY, USA.

Emily S Brouwer (ES)

Department of Pharmacy Practice and Science, University of Kentucky, Lexington, KY, USA.
Takeda Pharmaceuticals, Cambridge, MA, USA.

Erin L Abner (EL)

Department of Epidemiology, University of Kentucky, Lexington, KY, USA.
Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Department of Biostatistics, University of Kentucky, Lexington, KY, USA.

David W Fardo (DW)

Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Department of Biostatistics, University of Kentucky, Lexington, KY, USA.

Patricia R Freeman (PR)

Department of Pharmacy Practice and Science, University of Kentucky, Lexington, KY, USA.
Institute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington, KY, USA.

Chris Delcher (C)

Department of Pharmacy Practice and Science, University of Kentucky, Lexington, KY, USA.
Institute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington, KY, USA.

Daniela C Moga (DC)

Department of Epidemiology, University of Kentucky, Lexington, KY, USA. daniela.moga@uky.edu.
Department of Pharmacy Practice and Science, University of Kentucky, Lexington, KY, USA. daniela.moga@uky.edu.
Institute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington, KY, USA. daniela.moga@uky.edu.
Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA. daniela.moga@uky.edu.

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