Observational study to calculate addictive risk to opioids: a validation study of a predictive algorithm to evaluate opioid use disorder

Opioid abuse in chronic pain patients is a major public health issue, with rapidly increasing addiction rates and deaths from unintentional overdose more than quadrupling since 1999. This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algori...

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Veröffentlicht in:Pharmacogenomics and personalized medicine Jg. 10; S. 187 - 195
Hauptverfasser: Brenton, Ashley, Richeimer, Steven, Sharma, Maneesh, Lee, Chee, Kantorovich, Svetlana, Blanchard, John, Meshkin, Brian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New Zealand Dove Medical Press Limited 01.01.2017
Taylor & Francis Ltd
Dove Medical Press
Schlagworte:
Addiction
Addictions
Alcohol
Algorithms
Chronic pain
Cocaine
Diagnosis
Dopamine
Drug abuse
Drug addiction
Evaluation
Genes
Genetic Testing
Genetics
Health status indicators
Identification and classification
Narcotics
Observational studies
Opioid abuse
Opioid Use Disorder
Original Research
Pain
Patients
Personalized Medicine
Pharmacogenetics
Population
Precision medicine
Predictive Algorithm
Prescription drugs
Psychiatry
Schizophrenia
Single nucleotide polymorphisms
Substance abuse treatment
Los Angeles California
United States > US
opioid use disorder
predictive algorithm
genetic testing
pharmacogenetics
addiction
personalized medicine
ISSN:1178-7066, 1178-7066
Online-Zugang:Volltext
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Zusammenfassung:Opioid abuse in chronic pain patients is a major public health issue, with rapidly increasing addiction rates and deaths from unintentional overdose more than quadrupling since 1999. This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm incorporating phenotypic risk factors and neuroscience-associated single-nucleotide polymorphisms (SNPs). The Proove Opioid Risk (POR) algorithm determines the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm incorporating phenotypic risk factors and neuroscience-associated SNPs. In a validation study with 258 subjects with diagnosed opioid use disorder (OUD) and 650 controls who reported using opioids, the POR successfully categorized patients at high and moderate risks of opioid misuse or abuse with 95.7% sensitivity. Regardless of changes in the prevalence of opioid misuse or abuse, the sensitivity of POR remained >95%. The POR correctly stratifies patients into low-, moderate-, and high-risk categories to appropriately identify patients at need for additional guidance, monitoring, or treatment changes.
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ISSN:1178-7066
1178-7066
DOI:10.2147/PGPM.S123376