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ISSN: 2155-6105

Journal of Addiction Research & Therapy
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Research Article

Prospective, Longitudinal Study to Evaluate the Clinical Utility of a Predictive Algorithm to Detect Opioid Use Disorder in Chronic Pain Patients

Katrina Lewis1, Chee Lee2, John Blanchard2, Svetlana Kantorovich2, Brian Meshkin2and Ashley Brenton2*

1Benefis Health System, Great Falls, MT, USA

2Proove Biosciences, Irvine, CA, USA

*Corresponding Author:
Ashley Brenton
Proove Biosciences, Irvine
CA, USA
Tel: 443-699-9951
Fax: (888) 971-4221
E-mail: [email protected]

Received date: May 16, 2017; Accepted date: June 02, 2017; Published date: June 09, 2017

Citation: Lewis K, Lee C, Blanchard J, Kantorovich S, Meshkin B, et al. (2017) Prospective, Longitudinal Study to Evaluate the Clinical Utility of a Predictive Algorithm to Detect Opioid Use Disorder in Chronic Pain Patients. J Addict Res Ther 8:329. doi:10.4172/2155-6105.1000329

Copyright: © 2017 Lewis K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

A prospective, longitudinal study was conducted to determine the clinical utility of an algorithm-based precision medicine profile designed to assess risk associated with opioid use disorder in 5,315 patients in a clinical setting. Specifically, we sought to assess how physicians were using the profile and how its use affected patient outcomes. Ninety percent of all clinicians surveyed reported some benefit to their patient care, with the most utilization for changing the prescribed opioid and the most significant benefits from discontinuing opioids. Patients who received profile-guided care reported on average a 42% reduction in pain, and almost 40% of patients had >50% reduction in pain.

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