Journal
HEALTH SERVICES RESEARCH AND MANAGERIAL EPIDEMIOLOGY
Volume 4, Issue -, Pages -Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/2333392817717411
Keywords
opioid use disorder; addiction; personalized medicine; pharmacogenetics; genetic testing; predictive algorithm; primary care; precision medicine
Categories
Funding
- Proove Biosciences, Inc.
Ask authors/readers for more resources
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 algorithm remained >90%. Conclusion: The algorithm correctly stratifies primary care patients into low-, moderate-, and high-risk categories to appropriately identify patients in need for additional guidance, monitoring, or treatment changes.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available