Sam W J, Aw M, Quak S H, Lim S M, Charles B G, Chan S Y, Ho P C
Department of Pharmacy, National University of Singapore, Singapore 119260, Department of Paediatrics, National University Hospital, Singapore 119074.
Br J Clin Pharmacol. 2000 Dec;50(6):531-41. doi: 10.1046/j.1365-2125.2000.00288.x.
The purpose of this study was to describe the population pharmacokinetics of intravenous and oral tacrolimus (FK506) in 20 Asian paediatric patients, aged 1-14 years, following liver transplantation and to identify possible relationships between clinical covariates and population parameter estimates.
Details of drug dosage histories, sampling times and concentrations were collected retrospectively from routine therapeutic drug monitoring data accumulated for at least 4 days after surgery. Before analysis, patients were randomly allocated to either the population data set (n = 16) or a validation data set (n = 4). The population data set was comprised of 771 concentration measurements of patients admitted over the last 3 years. Population modelling using the nonlinear mixed-effects model (NONMEM) program was performed on the population data set, using a one-compartment model with first-order absorption and elimination. Population average parameter estimates of clearance (CL), volume of distribution (V) and oral bioavailability (F) were sought; a number of clinical and demographic variables were tested for their influence on these parameters.
The final optimal population models related clearance to age, volume of distribution to body surface area and bioavailability to body weight and total bilirubin concentration. Predictive performance of this model evaluated using the validation data set, which comprised 86 concentrations, showed insignificant bias between observed and model-predicted blood tacrolimus concentrations. A final analysis performed in all 20 patients identified the following relationships: CL (l h-1) = 1.46 *[1 + 0. 339 * (AGE (years) -2.25)]; V (l) = 39.1 *[1 + 4.57 * (BSA (m2)-0. 49)]; F = 0.197 *[1 + 0.0887 * (WT (kg) -11.4)] and F = 0.197 *[1 + 0.0887 * (WT (kg) -11.4)] * [1.61], if the total bilirubin > or = 200 micromol l-1. The interpatient variabilities (CV%) in CL, V and F were 33.5%, 33.0% and 24.1%, respectively. The intrapatient variability (s.d.) among observed and model-predicted blood concentrations was 5.79 ng ml-1.
In this study, the estimates of the pharmacokinetic parameters of tacrolimus agreed with those obtained from conventional pharmacokinetic studies. It also identified significant relationships in Asian paediatric liver transplant patients between the pharmacokinetics of tacrolimus and developmental characteristics of the patients.
本研究旨在描述20名年龄在1至14岁的亚洲儿童肝移植患者静脉注射和口服他克莫司(FK506)后的群体药代动力学,并确定临床协变量与群体参数估计值之间的可能关系。
回顾性收集术后至少4天积累的常规治疗药物监测数据中的药物剂量历史、采样时间和浓度细节。在分析前,将患者随机分配到群体数据集(n = 16)或验证数据集(n = 4)。群体数据集由过去3年入院患者的771次浓度测量组成。使用非线性混合效应模型(NONMEM)程序对群体数据集进行群体建模,采用具有一级吸收和消除的单室模型。寻求清除率(CL)、分布容积(V)和口服生物利用度(F)的群体平均参数估计值;测试了一些临床和人口统计学变量对这些参数的影响。
最终的最佳群体模型将清除率与年龄相关联,将分布容积与体表面积相关联,将生物利用度与体重和总胆红素浓度相关联。使用包含86个浓度的验证数据集评估该模型的预测性能,结果显示观察到的和模型预测的血液他克莫司浓度之间的偏差不显著。在所有20名患者中进行的最终分析确定了以下关系:CL(l h-1)= 1.46 *[1 + 0. 339 *(年龄(岁)-2.25)];V(l)= 39.1 *[1 + 4.57 *(体表面积(m2)-0. 49)];F = 0.197 *[1 + 0.0887 *(体重(kg)-11.4)],如果总胆红素≥200 μmol l-1,则F = 0.197 *[1 + 0.0887 (体重(kg)-11.4)] [1.61]。CL、V和F的患者间变异系数(CV%)分别为33.5%、33.0%和24.1%。观察到的和模型预测的血液浓度之间的患者内变异(标准差)为5.79 ng ml-1。
在本研究中,他克莫司药代动力学参数的估计值与传统药代动力学研究获得的结果一致。它还确定了亚洲儿童肝移植患者中他克莫司药代动力学与患者发育特征之间的显著关系。