Utilizing Pharmacogenomics Results to Determine Opioid Appropriateness and Improve Pain Management in a Patient with Osteoarthritis.

Pharmacogenomics and Personalized Medicine Pub Date : 2022-11-07 eCollection Date: 2022-01-01 DOI:10.2147/PGPM.S385272
Katie Pizzolato, David Thacker, Nicole Marie Del Toro-Pagán, Nishita S Amin, Abeer Hanna, Jacques Turgeon, Veronique Michaud
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Abstract

The opioid epidemic in the United States has exposed the need for providers to limit opioid dispensing and identify at-risk patients prior to prescribing opioids. With pharmacogenomic testing, clinicians can analyze hundreds of medications-including commonly prescribed opioids-against genetic results to understand and predict risk and response. Moreover, knowledge of genotypic variants and altered function can help decrease trial and error prescribing, identify patients at-risk for adverse drug events, and improve pain control. This patient case demonstrates how pharmacogenomic test results identified drug-gene interactions and provided insight about a patient's inadequate opioid therapy response. With pharmacogenomic information, the patient's healthcare team discontinued opioid therapy and selected a more appropriate regimen for osteoarthritis (ie, celecoxib), resulting in improved pain control and quality of life.

Abstract Image

Abstract Image

利用药物基因组学结果确定阿片类药物的适当性并改善骨关节炎患者的疼痛管理。
阿片类药物在美国的流行表明,提供者需要限制阿片类药物的配药,并在开阿片类药物处方之前识别有风险的患者。通过药物基因组学测试,临床医生可以根据基因结果分析数百种药物,包括常用的阿片类药物,以了解和预测风险和反应。此外,基因型变异和功能改变的知识可以帮助减少试验和错误处方,识别有药物不良事件风险的患者,并改善疼痛控制。该病例证明了药物基因组学测试结果如何识别药物-基因相互作用,并提供了有关患者阿片类药物治疗反应不足的见解。根据药物基因组学信息,患者的医疗团队停止了阿片类药物治疗,并选择了更适合骨关节炎的治疗方案(即塞来昔布),从而改善了疼痛控制和生活质量。
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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