Zhang Dan, Chen Wenqian, Qin Wei, Du Wenwen, Wang Xiaoxing, Zuo Xianbo, Li Pengmei
Department of Pharmacy, China-Japan Friendship Hospital, Beijing, China.
Clinical Trial Research Center, China-Japan Friendship Hospital, Beijing, China.
J Clin Pharmacol. 2023 Jan;63(1):66-76. doi: 10.1002/jcph.2145. Epub 2022 Sep 22.
Rivaroxaban is a popular direct factor Xa inhibitor used for anticoagulation therapy in patients with nonvalvular atrial fibrillation (NVAF). The aim of this study was to establish a population pharmacokinetic (PPK) model for rivaroxaban in elderly Chinese patients with nonvalvular atrial fibrillation, evaluate precision dosing regimens, and analyze hemorrhagic risk after rivaroxaban treatment. A 1-compartment population PK model with estimated glomerular filtration rate (eGFR), total bilirubin (TBIL), and ABCB1 rs1045642 as major covariates for apparent clearance was developed using the nonlinear mixed-effects model (NONMEM). A Monte Carlo simulation was performed to evaluate various dosing schemes and different levels of covariates for the target range of therapeutic drug-monitoring concentrations (C and C ). The exposure to rivaroxaban was simulated and assessed through hemorrhagic risk evaluation. The results showed that the average probability of target attainment (PTA) for optimal dosing regimens with different covariate levels for the targeted C and C were 29.35% to 31.3% and 64.91% to 65.8%, respectively. A dosage of 10 mg of rivaroxaban in elderly Chinese patients with normal renal and liver function was appropriate. The area under the concentration-time curve estimated over 24 hours with precision dosing at steady state (AUC ) was statistically significantly associated with an increased risk of bleeding events (OR 1.0006, 95%CI 1.0003 to 1.001, P < .0001), and the bleeding risk increased by 1.82-fold for every 1000 μg*h/L increase in AUC . A lower dose is recommended for elderly patients with renal impairment to avoid overexposure and bleeding events. The PPK model could inform individualized dosing for elderly Chinese patients with nonvalvular atrial fibrillation receiving rivaroxaban anticoagulation therapy.
利伐沙班是一种常用的直接Xa因子抑制剂,用于非瓣膜性心房颤动(NVAF)患者的抗凝治疗。本研究的目的是建立利伐沙班在中国老年非瓣膜性心房颤动患者中的群体药代动力学(PPK)模型,评估精准给药方案,并分析利伐沙班治疗后的出血风险。使用非线性混合效应模型(NONMEM)建立了一个一室群体PK模型,该模型以估计的肾小球滤过率(eGFR)、总胆红素(TBIL)和ABCB1 rs1045642作为表观清除率的主要协变量。进行了蒙特卡洛模拟,以评估各种给药方案以及不同水平协变量对治疗药物监测浓度(C和C)目标范围的影响。通过出血风险评估模拟和评估了利伐沙班的暴露情况。结果表明,针对目标C和C,不同协变量水平的最佳给药方案的平均达标概率(PTA)分别为29.35%至31.3%和64.91%至65.8%。对于肾功能和肝功能正常的中国老年患者,10mg利伐沙班的剂量是合适的。在稳态下进行精准给药时,24小时内估计的浓度-时间曲线下面积(AUC)与出血事件风险增加具有统计学显著相关性(OR 1.0006,95%CI 1.0003至1.001,P <.0001),并且每增加1000μg*h/L的AUC,出血风险增加1.82倍。对于肾功能不全的老年患者,建议使用较低剂量以避免药物过度暴露和出血事件。该PPK模型可为接受利伐沙班抗凝治疗的中国老年非瓣膜性心房颤动患者的个体化给药提供参考。