Department of Pharmaceutics, School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran.
Department of Cardiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
J Clin Pharm Ther. 2022 Aug;47(8):1284-1292. doi: 10.1111/jcpt.13673. Epub 2022 May 3.
Although predictable pharmacokinetic and pharmacodynamic of rivaroxaban allow fixed dosing regimens without routine coagulation monitoring, there is still the necessity to monitor and predict the effects of rivaroxaban in specific conditions and different populations. The current study was designed and conducted to analyze the rivaroxaban population pharmacokinetics in Iranian patients and establish a pharmacokinetic/pharmacodynamic model to predict the relationship between rivaroxaban concentration and its anticoagulant activity.
A sequential nonlinear mixed effect pharmacokinetic/pharmacodynamic modeling method was used to establish the relation between rivaroxaban concentration and anti-factor Xa activity, prothrombin time, and activated partial thromboplastin time (aPTT) as pharmacodynamic biomarkers in a population of sixty-nine Iranian patients under treatment with oral rivaroxaban. Rivaroxaban plasma concentration was quantified by a validated high-performance liquid chromatography-tandem mass spectrometry.
The typical population values (inter-individual variability%) of the oral volume of distribution and clearance for a one-compartment model were 61.2 L (21%) and 3.68 L·h (61%), respectively. Creatinine clearance and Child-Turcotte-Pugh score were found to affect the clearance. A direct link linear structural model best fitted the data for both prothrombin time and aPTT. The baseline estimates of aPTT and prothrombin time in the population were 35.0 (15%) and 12.6 (2%) seconds, respectively. The slope of the relationship between apTT, prothrombin time, and rivaroxaban concentration was 0.033 (28%) and 0.018 (54%) s·ml·ng , respectively. The selected model for anti-factor Xa activity consisted of a direct link inhibitory E model with Hill coefficient. The maximum level of inhibition (E ) was 4 IU·ml . The concentration of rivaroxaban producing 50% of the maximum inhibitory effect (EC ) was 180 (24%) ng·ml , and Hill coefficient (γ) was 1.44 (108%). No covariates showed a statistically significant effect on PT and activated partial thromboplastin time prolonging properties and anti-factor Xa activity.
Our results confirmed that pharmacokinetic/pharmacodynamic models similar to those of the other studies describe the relationship between the rivaroxaban concentration and its anticoagulant effect in Iranian patients. However, considerable differences were observed in the parameters of the pharmacodynamics-pharmacokinetic models with the results of other reports that can explain the unpredictable effects of rivaroxaban in some patients.
尽管利伐沙班可预测的药代动力学和药效学允许固定剂量方案而无需常规凝血监测,但仍有必要监测和预测利伐沙班在特定情况下和不同人群中的作用。本研究旨在分析伊朗患者的利伐沙班群体药代动力学,并建立药代动力学/药效学模型,以预测利伐沙班浓度与其抗凝活性之间的关系。
采用序贯非线性混合效应药代动力学/药效学建模方法,建立了 69 例伊朗患者口服利伐沙班后利伐沙班浓度与抗因子 Xa 活性、凝血酶原时间和活化部分凝血活酶时间(aPTT)之间的关系,这些指标为药效学标志物。采用经过验证的高效液相色谱-串联质谱法定量检测利伐沙班的血浆浓度。
单室模型的口服分布容积和清除率的典型人群值(个体间变异性%)分别为 61.2 L(21%)和 3.68 L·h(61%)。发现肌酐清除率和 Child-Turcotte-Pugh 评分影响清除率。直接线性结构模型最适合同时拟合凝血酶原时间和 aPTT 数据。人群中 aPTT 和凝血酶原时间的基线估计值分别为 35.0(15%)和 12.6(2%)秒。aPTT、凝血酶原时间与利伐沙班浓度之间的关系斜率分别为 0.033(28%)和 0.018(54%)s·ml·ng。选择用于抗因子 Xa 活性的模型由具有 Hill 系数的直接链接抑制 E 模型组成。最大抑制水平(E )为 4 IU·ml。产生 50%最大抑制作用的利伐沙班浓度(EC )为 180(24%)ng·ml ,Hill 系数(γ)为 1.44(108%)。没有协变量显示对凝血酶原时间和活化部分凝血活酶时间延长特性和抗因子 Xa 活性有统计学意义的影响。
我们的研究结果证实,与其他研究相似的药代动力学/药效学模型描述了利伐沙班浓度与伊朗患者抗凝作用之间的关系。然而,在药效学-药代动力学模型的参数方面,与其他报告的结果存在相当大的差异,这可以解释在某些患者中利伐沙班不可预测的作用。