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Polypharmacy in HIV: recent insights and future directions

机译:艾滋病毒的多药职业:最近的见解和未来方向

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Purpose of review Update findings regarding polypharmacy among people with HIV (PWH) and consider what research is most needed. Recent findings 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.
机译:审查有关艾滋病毒(PWH)的人物中多酚省曲的更新结果的目的,并考虑最需要的研究。最近在PWH中的发现,复数是常见的,发生在中年,主要由非逆转录病毒(ARV)药物驱动。许多研究已经证明了多酚省期和收到可能不恰当的药物(PIMS)之间的强有力的协会,但很少有人考虑过实际不良事件。瀑布,谵妄,肺炎,住院和死亡率与PWH之间的多药物相关,并且在调整疾病严重程度后仍然存在风险。 PolyPharcacy是一个不断增长的问题,伤害机制可能包括潜在的药物药物,药物负担总量,已知的成对药物相互作用,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,饮酒,医疗服用药物药物 - 物质和药物使用)。在我们有效地设计干预之前,我们需要使用观察数据来更好地了解可修改的损伤机制。随着病人的个体服用更多的药物,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是不准确的,需要直接生物标志物,例如磷脂酰乙醇(Peth)的醇。需要包括电子健康记录,遗传学,准确措施的大型样品,以及最先进的统计和人工智能技术,以推进我们的理解和通知POYPWH的临床管理。

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