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

Katrina Lewis, Chee Lee, J. Blanchard, S. Kantorovich, B. Meshkin, Ashley Brenton
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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.
评估预测算法在慢性疼痛患者中检测阿片类药物使用障碍的临床应用的前瞻性纵向研究
进行了一项前瞻性纵向研究,以确定基于算法的精准医学概况的临床效用,该概况旨在评估临床环境中5,315例阿片类药物使用障碍相关风险。具体来说,我们试图评估医生是如何使用档案的,以及它的使用如何影响患者的预后。接受调查的所有临床医生中,有90%的人报告说,他们对病人的护理有一些好处,其中改变处方阿片类药物的利用率最高,停止使用阿片类药物的好处最大。接受概况指导护理的患者报告疼痛平均减轻42%,近40%的患者疼痛减轻>50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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