A Personalized Opioid Prescription Model for Predicting Postoperative Discharge Opioid Needs.

ABSTRACT:

Background

Opioid overprescribing after surgery is common. There is currently no universal predictive tool available to accurately anticipate postdischarge opioid need in a patient-specific manner. This study examined the efficacy of a patient-specific opioid prescribing framework for estimating postdischarge opioid consumption.

Methods

A total of 149 patients were evaluated for a single-center retrospective cohort study of plastic and reconstructive surgery patients. Patients with length of stay of 2 to 8 days and quantifiable inpatient opioid consumption (n = 116) were included. Each patient's daily postoperative inpatient opioid consumption was used to generate a personalized logarithmic regression model to estimate postdischarge opioid need. The validity of the personali

SUBMITTER: Zhang KK 

PROVIDER: S-EPMC10449368 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature