Development of a Medicare Claims-Based Model to Predict Persistent High-Dose Opioid Use After Total Knee Replacement.

ABSTRACT:

Objective

To develop a claims-based model to predict persistent high-dose opioid use among patients undergoing total knee replacement (TKR).

Methods

Using Medicare claims (2010-2014), we identified patients ages ≥65 years who underwent TKR with no history of high-dose opioid use (mean >25 morphine milligram equivalents [MMEs]/day) in the year prior to TKR. We used group-based trajectory modeling to identify distinct opioid use patterns. The primary outcome was persistent high-dose opioid use in the year after TKR. We split the data into training (2010-2013) and test (2014) sets and used logistic regression with least absolute shrinkage and selection operator regularization, utilizing a total of 83 preoperative patient characteristics as candidate predictors. A reduced model

SUBMITTER: Gopalakrishnan C 

PROVIDER: S-EPMC8280246 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature