Predictors of new persistent opioid use after surgery in adults.

ABSTRACT:

Purpose

Persistent opioid use is one of the most common post-operative complications. Identification of at-risk patients pre-operatively is key to reducing post-operative opioid use. We sought to develop a predictive model for persistent post-operative opioid used and to determine if geographic factors from community databases improve model prediction based solely on electronic health records (EHRs) and claims data.

Methods

EHR and claims data for 4,116 opioid-naïve surgical patients older than 18 in North Carolina were linked with census tract-level unemployment data from the American Community Survey and Centers for Disease Control and Prevention data on opioid prescriptions and deaths attributed to drug poisoning. Primary outcome was new persistent opioid use and covariat

SUBMITTER: Gessner KH 

PROVIDER: S-EPMC11880104 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature