Division of General Internal Medicine, Geneva University Hospitals, Geneva, Switzerland.
Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
CPT Pharmacometrics Syst Pharmacol. 2023 Dec;12(12):1872-1883. doi: 10.1002/psp4.13036. Epub 2023 Oct 4.
When used in real-world conditions, substantial interindividual variations in direct oral anticoagulant (DOAC) plasma concentrations are observed for a given dose, leading to a risk of over- or under-exposure and clinically significant adverse events. Physiologically-based pharmacokinetic (PBPK) models could help physicians to tailor DOAC prescriptions in vulnerable patient populations, such as those in the hospital setting. The present study aims to validate prospectively PBPK models for rivaroxaban and apixaban in a large cohort of elderly, polymorbid, and hospitalized patients. In using a model of geriatric population integrating appropriate physiological parameters into models first optimized with healthy volunteer data, observed plasma concentration collected in hospitalized patients on apixaban (n = 100) and rivaroxaban (n = 100) were adequately predicted (ratio predicted/observed area under the concentration curve for a dosing interval [AUC ] = 0.97 [0.96-0.99] geometric mean, 90% confidence interval, ratio predicted/observed AUC = 1.03 [1.02-1.05]) for apixaban and rivaroxaban, respectively. Validation of the present PBPK models for rivaroxaban and apixaban in in-patients represent an additional step toward the feasibility of bedside use.
在实际情况下,对于给定的剂量,直接口服抗凝剂(DOAC)的血浆浓度存在显著的个体间差异,这导致了过度或不足暴露以及临床上显著的不良事件的风险。基于生理学的药代动力学(PBPK)模型可以帮助医生在易受影响的患者群体(如住院患者)中定制 DOAC 处方。本研究旨在前瞻性验证瑞维伐沙班和阿哌沙班在老年、多病态和住院患者大队列中的 PBPK 模型。通过使用将适当的生理参数整合到首先使用健康志愿者数据优化的模型中的老年人群模型,对阿哌沙班(n=100)和瑞维伐沙班(n=100)住院患者的观察到的血浆浓度进行了适当的预测(剂量间隔的预测/观察曲线下面积比值[AUC]为 0.97[0.96-0.99]几何均数,90%置信区间,预测/观察 AUC 的比值为 1.03[1.02-1.05]),分别为阿哌沙班和瑞维伐沙班。本研究中对瑞维伐沙班和阿哌沙班的 PBPK 模型在住院患者中的验证代表了朝着床边使用可行性迈出的额外一步。