Tabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, Florida, USA.
Tabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, Florida, USA; Université de Montréal, Montreal, Quebec, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
Clin Ther. 2023 Feb;45(2):99-105. doi: 10.1016/j.clinthera.2022.12.012. Epub 2023 Jan 20.
A nonoptimized medication therapy (NOMT) event is an iatrogenic hazard or incident associated with medications and is a leading cause of death, serious injury, and illness. NOMT events are often related to multidrug interactions in patients with polypharmacy. In these patients, NOMT events can be avoided by using advanced clinical decision support systems and clinical interventions such as separating the time of administration of certain drugs during the day. At the individual level, medication reconciliation is a first logical step for reducing adverse side effects. Then, intersubject variability in drug response should be considered to optimize patient drug regimens. Furthermore, patient pharmacogenomic status information can help ensure appropriateness of drug therapy. However, in patients with polypharmacy, such information is most valuable when combined with phenoconversion probability. At a population level, the virtual addition of drugs to various drug regimens and the use of a medication risk score can help predict the risk of NOMT events. This review outlines some of the mechanisms behind multidrug interactions and their association with drug safety and NOMTs, polypharmacy and its impact on patient outcomes, the value of pharmacogenomics, and an assessment of simulation studies and the virtual addition of drugs to a drug regimen using real-world data.
非优化药物治疗(NOMT)事件是与药物相关的医源性危害或事件,是导致死亡、严重伤害和疾病的主要原因。NOMT 事件通常与多药相互作用有关,这些患者多为同时服用多种药物。在这些患者中,可以使用先进的临床决策支持系统和临床干预措施,如在白天将某些药物的给药时间分开,来避免 NOMT 事件。在个体层面,用药重整是减少不良反应的第一步。然后,应该考虑药物反应的个体间变异性,以优化患者的药物治疗方案。此外,患者的药物基因组学状态信息有助于确保药物治疗的适当性。然而,在同时服用多种药物的患者中,当结合表型转化概率时,这些信息最有价值。在人群层面,虚拟添加药物到各种药物治疗方案中并使用药物风险评分有助于预测 NOMT 事件的风险。本综述概述了多药相互作用背后的一些机制及其与药物安全性和 NOMT、多药治疗及其对患者结局的影响、药物基因组学的价值,以及对模拟研究和使用真实世界数据虚拟添加药物到药物治疗方案的评估。