Durham VA Healthcare System, Durham, North Carolina, USA.
VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
Clin Pharmacol Ther. 2024 Aug;116(2):390-396. doi: 10.1002/cpt.3297. Epub 2024 May 22.
The Department of Veterans Affairs (VA) utilizes a pharmacogenomic (PGx) program that analyzes specific "pharmacogenes." This study evaluates the effect that pharmacogenes may have on prevalence of polypharmacy. This retrospective cohort study included patients with VA prescriptions who underwent PGx testing. We quantified prescriptions active or recently expired at the time of PGx testing. We constructed two co-primary polypharmacy (≥10 medications) end points: (i) based on all medications and (ii) requiring that at least one medication was affected by a pharmacogene of interest. Pharmacogenes and actionable phenotypes of interest included poor and ultrarapid metabolizers for CYP2D6, CYP2C9, and CYP2C19 and intermediate and normal metabolizers for CYP3A5. Patients were classified as having 0, 1, and 2+ total phenotypes across all genes. Of the 15,144 patients screened, 13,116 met eligibility criteria. Across phenotype cohorts, there was no significant association with polypharmacy using all medications, number of total medications, or number of medications affected by phenotypes. However, there was a significant difference in patients with polypharmacy prescribed ≥1 medication impacted by PGx across phenotype groups: 2,514/4,949 (51%), 1,349/2,595 (52%), 204/350 (58%) (P = 0.03, OR 1.31, 95% CI 1.02-1.67). The median number of medications affected by PGx phenotypes with ≥1 PGx-impacted medication across phenotype groups was a median of 0 (IQR 0, 0), 0 (IQR 0, 0), and 1 (IQR 0, 1) (P < 0.001). In patients prescribed ≥1 medication impacted by PGx, those with more actionable pharmacogenomic phenotypes were more likely to meet polypharmacy criteria.
退伍军人事务部(VA)利用一项药物基因组学(PGx)计划,分析特定的“药物基因”。本研究评估了药物基因对多种药物治疗的流行率可能产生的影响。本回顾性队列研究纳入了接受 PGx 检测的有 VA 处方的患者。我们量化了 PGx 检测时处于活跃或最近过期状态的处方。我们构建了两个主要的多重用药(≥10 种药物)终点:(i)基于所有药物,和(ii)要求至少有一种药物受到感兴趣的药物基因的影响。感兴趣的药物基因和可操作的表型包括 CYP2D6、CYP2C9 和 CYP2C19 的弱代谢者和超快代谢者,以及 CYP3A5 的中间代谢者和正常代谢者。患者根据所有基因被分为 0、1 和 2+总表型。在筛选的 15144 名患者中,有 13116 名符合入选标准。在各表型组中,使用所有药物、总用药数量或受表型影响的药物数量与多重用药均无显著相关性。然而,在有≥1 种受 PGx 影响的药物处方的多重用药患者中,表型组之间存在显著差异:4949 例中有 2514 例(51%)、2595 例中有 1349 例(52%)、350 例中有 204 例(58%)(P=0.03,OR 1.31,95%CI 1.02-1.67)。表型组中≥1 种 PGx 影响药物的 PGx 表型影响的药物数量中位数为 0(IQR 0,0)、0(IQR 0,0)和 1(IQR 0,1)(P<0.001)。在有≥1 种受 PGx 影响的药物处方的患者中,具有更多可操作药物基因组学表型的患者更有可能符合多重用药标准。