论文标题

中国肺移植接受者中克莫司的种群药代动力学和剂量方案优化

Population pharmacokinetics and dosing regimen optimization of tacrolimus in Chinese lung transplant recipients

论文作者

Cai, Xiaojun, Song, Huizhu, Jiao, Zheng, Yang, Hang, Zhu, Min, Wang, Chengyu, Wei, Dong, Shi, Lingzhi, Wu, Bo, Chen, Jinyu

论文摘要

我们的目的是在中国肺移植受者中开发一种他克莫司的种群药代动力学模型,并提出基于模型的剂量方案以进行个性化治疗。我们从52例肺移植患者和基因分型CYP3A5*3获得了807种克莫司。使用非线性混合效应模型进行种群药代动力学分析。使用蒙特卡洛模拟来设计初始给药方案。他克莫司药代动力学由一个具有一阶吸收和消除过程的隔室模型描述。在CYP3A5*3/*3 70kg患者中,血质体和伏立康唑无疗法的平均估计明显清除率为13.1 L/h,受试者间差异为20.1%,在17.5至36.5 l/h)中低30%。血细胞比容,术后日,克莫司每天剂量,伏立康唑疗法和CYP3A5*3基因型被确定为他克莫司清除的重要协变量。为了在移植后的第8天达到目标槽浓度(10至15 ng/mL),应推荐CYP3A5*1/*3患者的初始剂量比目前0.04 mg/kg Q12H的当前方案高的初始剂量高。鉴于他克莫司的非线性动力学和较大的变异性,种群药代动力学模型应与治疗药物监测相结合,以优化个性化的治疗。

We aimed to develop a population pharmacokinetic model of tacrolimus in Chinese lung transplant recipients, and propose model based dosing regimens for individualized treatment. We obtained 807 tacrolimus whole blood concentrations from 52 lung transplant patients and genotyped CYP3A5*3. Population pharmacokinetic analysis was performed using nonlinear mixed effects modeling. Monte Carlo simulations were employed to design initial dosing regimens. Tacrolimus pharmacokinetics was described by a one compartment model with first order absorption and elimination process. The mean estimated apparent clearance was 13.1 l/h with 20.1% inter subject variability in CYP3A5*3/*3 70kg patients with 30% hematocrit and voriconazole free therapy, which is lower than that in Caucasian(17.5 to 36.5 l/h). Hematocrit, postoperative days, tacrolimus daily dose, voriconazole cotherapy, and CYP3A5*3 genotype were identified as significant covariates for tacrolimus clearance. To achieve the target trough concentration (10 to 15 ng/ml) on the 8th day after transplantation, CYP3A5*1/*3 patients with voriconazole free cotherapy, a higher initial dosage than the current regimen of 0.04 mg/kg q12h should be recommened. Given the nonlinear kinetics of tacrolimus and large variability, population pharmacokinetic model should be combined with therapeutic drug monitoring to optimize individualized therapy.

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