Identifying factors associated with persistent opioid use after total joint arthroplasty: a retrospective review.

ABSTRACT:

Objective

To identify predictors of persistent opioid use in opioid-naïve individuals undergoing total joint arthroplasty.

Design

Retrospective cohort study.

Setting

Maine Health System.

Subjects

Opioid-naïve patients who underwent at least one total joint arthroplasty (knee, hip, or shoulder) between 2015 and 2020.

Methods

Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression was used to create a predictive model for persistent opioid use after surgery from a US Electronic Health Record dataset in the Observational Medical Outcomes Partnership Common Data Model format. 75% of the data was used to build the LASSO model using 10-fold cross-validation and 25% of the data was used to determine the optimal probability threshold for pred

SUBMITTER: Quaye A 

PROVIDER: S-EPMC11789782 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature