Yale Schools of Medicine and Public Health, New Haven.
VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Curr Opin HIV AIDS. 2020 Mar;15(2):126-133. doi: 10.1097/COH.0000000000000608.
Update findings regarding polypharmacy among people with HIV (PWH) and consider what research is most needed.
Among PWH, polypharmacy is common, occurs in middle age, and is predominantly driven by nonantiretroviral (ARV) medications. Many studies have demonstrated strong associations between polypharmacy and receipt of potentially inappropriate medications (PIMS), but few have considered actual adverse events. Falls, delirium, pneumonia, hospitalization, and mortality are associated with polypharmacy among PWH and risks remain after adjustment for severity of illness.
Polypharmacy is a growing problem and mechanisms of injury likely include potentially inappropriate medications, total drug burden, known pairwise drug interactions, higher level drug interactions, drug--gene interactions, and drug--substance use interactions (alcohol, extra-medical prescription medication, and drug use). Before we can effectively design interventions, we need to use observational data to gain a better understanding of the modifiable mechanisms of injury. As sicker individuals take more medications, analyses must account for severity of illness. As self-report of substance use may be inaccurate, direct biomarkers, such as phosphatidylethanol (PEth) for alcohol are needed. Large samples including electronic health records, genetics, accurate measures of substance use, and state of the art statistical and artificial intelligence techniques are needed to advance our understanding and inform clinical management of polypharmacy in PWH.
更新关于 HIV 感染者(PWH)中多种药物治疗的发现,并考虑最需要哪些研究。
在 PWH 中,多种药物治疗很常见,发生在中年,主要由非抗逆转录病毒(ARV)药物驱动。许多研究表明,多种药物治疗与潜在不适当药物(PIMS)的使用之间存在很强的关联,但很少有研究考虑实际的不良事件。跌倒、谵妄、肺炎、住院和死亡与 PWH 的多种药物治疗有关,并且在调整疾病严重程度后风险仍然存在。
多种药物治疗是一个日益严重的问题,损伤机制可能包括潜在不适当的药物、总药物负担、已知的药物相互作用、更高水平的药物相互作用、药物-基因相互作用和药物-物质使用相互作用(酒精、非医疗处方药物和药物使用)。在我们能够有效地设计干预措施之前,我们需要使用观察性数据来更好地了解可修改的损伤机制。由于病情较重的患者服用更多的药物,因此分析必须考虑疾病的严重程度。由于物质使用的自我报告可能不准确,因此需要直接的生物标志物,如酒精的磷脂酰乙醇(PEth)。需要包括电子健康记录、遗传学、物质使用的准确测量以及最先进的统计和人工智能技术在内的大型样本,以推进我们对 PWH 中多种药物治疗的理解并为其提供临床管理。