老年急诊科跌倒患者的药物基因组学药物基因相互作用

Richard D Shih, Gabriella Engstrom, Abhijit S Pandya, Gregg B Fields, Borivoje Furht, Ali A Danesh, Scott M Alter, Humberto Munoz, Lisa M Clayton, Joshua J Solano, Timothy Buckley, Olivia Hung, Alexander Farag, Mike Wells
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摘要

背景:药物基因组学辅助处方利用个体基因信息来识别药物基因间的相互作用。我们的目的是评估老年急诊科(ED)摔伤患者潜在的药物基因组学药物基因相互作用:这是一项前瞻性研究,涉及 25 名与跌倒相关的老年急诊患者。收集的数据包括当前用药情况、人口统计学特征和受伤机制。所有患者都提供了一份 DNA 样本用于药物基因组学检测,MatchMyMeds(DNA 实验室,佛罗里达州博卡拉顿)可评估 23 个酶系统的基因数据,并报告 134 种药物的潜在药物基因相互作用。根据遗传信息和临床药物遗传学实施联盟 (CPIC)、荷兰药物遗传学工作组 (DPWG) 公布的相互作用以及美国食品和药物管理局批准的药物标签信息,对照药物基因组报告对每位患者的用药情况进行审查,并将其分为绿色(可用)、黄色(慎用)或红色(停用)三类。研究的主要结果是药物基因组学中药物与基因的相互作用:入组的 25 名患者(中位年龄 81 岁,IQR:76-85)中,68% 为女性。患者服用的药物中位数为 8 种(IQR:5-11)。最常见的药物是降压药、他汀类药物、抗凝药物和抗血小板药物。在 14/25 例(56%)患者中发现了明显的药物基因相互作用(黄色或红色)。此外,6/25(24%)例患者还发现了一种或多种潜在的严重(红色)相互作用:结论:在老年急诊室跌倒受伤的患者中,大多数都有严重的药物基因组学药物基因相互作用。DNA 检测可确定这些相互作用,有助于在药物基因组学指导下开具处方,从而减少 ADE 并改善临床疗效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pharmacogenomic Drug-Gene Interactions in Geriatric Emergency Department Patients That Have Fallen
Background: Pharmacogenomic assisted prescribing of medications utilizes individual genetic information to identify drug-gene interactions. We aimed to assess potential pharmacogenomic drug-gene interactions in geriatric emergency department (ED) patients that have sustained a fall. Methods: This was a prospective study involving 25 older adult ED patients with fall related injury. Data collected included current medications, demographics and mechanism of injury. All patients provided a DNA sample for pharmacogenomic testing, MatchMyMeds (DNA Labs, Boca Raton, FL) which assessed genetic data for 23 enzyme systems and reports on potential drug-gene interactions for 134 medications. Each patients medications were reviewed against their pharmacogenomic report and categorized as Green (go), Yellow (caution) or Red (stop) based on their genetic information and published interactions by the Clinical Pharmacogenetics Implementation Consortium (CPIC), Dutch Pharmacogenetics Working Group (DPWG) and Food and Drug Administration-approved drug label information. The main study outcome was pharmacogenomic drug-gene interactions. Results: Of the 25 patients enrolled (median age, 81 years, IQR: 76-85), 68% were female. Patients were taking a median of 8 medications (IQR: 5-11). The most common types were antihypertensives, statins, anticoagulants, and anti-platelet medications. Significant drug-gene interactions (Yellow or Red) were identified in 14/25 (56%) patients. Further, 6/25 (24%) had one or more potentially serious (Red) interactions identified. Conclusions: In geriatric ED patients with a fall-related injury, a majority have a significant pharmacogenomic drug-gene interactions. DNA testing identifies these interactions and can assist with pharmacogenomic-guided medication prescribing which may decrease ADEs and improve clinical outcomes.
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