Singkham Noppaket, Phrommintikul Arintaya, Pacharasupa Phongsathon, Norasetthada Lalita, Gunaparn Siriluck, Prasertwitayakij Narawudt, Wongcharoen Wanwarang, Punyawudho Baralee
Division of Clinical Pharmacy, Department of Pharmaceutical Care, School of Pharmaceutical Sciences, University of Phayao, Phayao 56000, Thailand.
Unit of Excellence on Pharmacogenomic Pharmacokinetic and Pharmacotherapeutic Researches (UPPER), School of Pharmaceutical Sciences, University of Phayao, Phayao 56000, Thailand.
Pharmaceutics. 2022 Aug 21;14(8):1744. doi: 10.3390/pharmaceutics14081744.
Low-dose rivaroxaban has been used in Asian patients with direct oral anticoagulants (DOACs) eligible for atrial fibrillation (AF). However, there are few pharmacokinetic (PK) data in Thai patients to support precise dosing. This study aimed to develop a population PK model and determine the optimal rivaroxaban doses in Thai patients. A total of 240 Anti-Xa levels of rivaroxaban from 60 Thai patients were analyzed. A population PK model was established using the nonlinear mixed-effect modeling approach. Monte Carlo simulations were used to predict drug exposures at a steady state for various dosages. Proportions of patients having rivaroxaban exposure within typical exposure ranges were determined. A one-compartment model with first-order absorption best described the data. Creatinine clearance (CrCl) and body weight significantly affected CL/F and V/F, respectively. Regardless of body weight, a higher proportion of patients with CrCl < 50 mL/min receiving the 10-mg once-daily dose had rivaroxaban exposures within the typical exposure ranges. In contrast, a higher proportion of patients with CrCl ≥ 50 mL/min receiving the 15-mg once-daily dose had rivaroxaban exposures within the typical exposure ranges. The study’s findings suggested that low-dose rivaroxaban would be better suited for Thai patients and suggested adjusting the medication’s dose in accordance with renal function.
低剂量利伐沙班已用于符合条件的亚洲房颤(AF)患者,作为直接口服抗凝剂(DOACs)。然而,泰国患者的药代动力学(PK)数据很少,无法支持精确给药。本研究旨在建立群体PK模型,并确定泰国患者的最佳利伐沙班剂量。分析了60名泰国患者的240份利伐沙班抗Xa水平。采用非线性混合效应建模方法建立群体PK模型。蒙特卡罗模拟用于预测不同剂量下的稳态药物暴露。确定了利伐沙班暴露在典型暴露范围内的患者比例。具有一级吸收的单室模型最能描述数据。肌酐清除率(CrCl)和体重分别显著影响CL/F和V/F。无论体重如何,接受每日一次10毫克剂量的CrCl<50 mL/min患者中,有更高比例的患者利伐沙班暴露在典型暴露范围内。相比之下,接受每日一次15毫克剂量的CrCl≥50 mL/min患者中,有更高比例的患者利伐沙班暴露在典型暴露范围内。该研究结果表明,低剂量利伐沙班更适合泰国患者,并建议根据肾功能调整药物剂量。