Validation Study of a Predictive Algorithm to Evaluate Opioid Use Disorder in a Primary Care Setting.

ABSTRACT:

Background

Opioid abuse in chronic pain patients is a major public health issue. Primary care providers are frequently the first to prescribe opioids to patients suffering from pain, yet do not always have the time or resources to adequately evaluate the risk of opioid use disorder (OUD).

Purpose

This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm ("profile") incorporating phenotypic and, more uniquely, genotypic risk factors.

Methods and results

In a validation study with 452 participants diagnosed with OUD and 1237 controls, the algorithm successfully categorized patients at high and moderate risk of OUD with 91.8% sensitivity. Regardless of changes in the prevalence of OUD, sensitivity of the algo

SUBMITTER: Sharma M 

PROVIDER: S-EPMC5574481 | biostudies-literature | 2017 Jan-Dec

REPOSITORIES: biostudies-literature