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卡马西平在新加坡癫痫患者中的群体药代动力学

Population pharmacokinetics of carbamazepine in Singapore epileptic patients.

作者信息

Chan E, Lee H S, Hue S S

机构信息

Department of Pharmacy and Department of Pharmacology, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Republic of Singapore.

出版信息

Br J Clin Pharmacol. 2001 Jun;51(6):567-76. doi: 10.1046/j.0306-5251.2001.01396.x.

Abstract

AIMS

To document the population pharmacokinetics of carbamazepine in patients with epilepsy living in Singapore, the majority of whom are of Chinese origin and others of minority races.

METHODS

Steady-state plasma carbamazepine concentration data were gathered during routine care from various hospitals in Singapore for patients with epilepsy. Age, body weight, gender, race, formulation and concurrent medication (for other illnesses) were the fixed effects (covariates) tested simultaneously for their influence on the population mean of carbamazepine clearance, using the nonlinear mixed-effects model, in the NONMEM program.

RESULTS

No age, gender, race, or formulation-related effect was found. Body weight (W), age (A) and concurrent medication with phenobarbitone (PB) emerged as the determinants of carbamazepine clearance (CL). The final regression model for carbamazepine clearance found best to describe the data was CL = 40.7 x A(0.494) x W(-1.17) x 1.44PB where CL is in l day(-1) kg(-1), A is in years, W is in kg and PB = 0 for a patient on carbamazepine only and PB = 1 for a patient on concomitant PB. The corresponding interindividual variability (CV%) in CL, described by using an exponential model, was 21.4%, and the residual error, described by using an exponential error model, was 18.2%. Predictive performance of this population covariate model was evaluated by Bayesian forecasting in a similar, but independent cohort of patients. There was no statistically significant bias between predicted and measured plasma carbamazepine concentrations. The population mean value of carbamazepine clearance obtained was similar to that previously reported for patients with a very different ethnic (Caucasians and Blacks) or geographical background (South Africa, Europe and USA).

CONCLUSIONS

The derived covariate regression model reasonably predicted concentrations in the separate validation Singapore patient data set. The correlation between carbamazepine clearance and patient-specific characteristics may thus allow dosage adjustment to be made to achieve target steady-state plasma concentrations.

摘要

目的

记录新加坡癫痫患者中卡马西平的群体药代动力学,其中大多数患者为华裔,其他为少数族裔。

方法

在新加坡各医院对癫痫患者进行常规护理期间收集稳态血浆卡马西平浓度数据。使用NONMEM程序中的非线性混合效应模型,同时测试年龄、体重、性别、种族、剂型和合并用药(用于其他疾病)对卡马西平清除率总体均值的影响,这些因素为固定效应(协变量)。

结果

未发现年龄、性别、种族或剂型相关效应。体重(W)、年龄(A)以及与苯巴比妥(PB)合并用药是卡马西平清除率(CL)的决定因素。发现最能描述数据的卡马西平清除率最终回归模型为CL = 40.7×A(0.494)×W(-1.17)×1.44PB,其中CL的单位为l·天(-1)·kg(-1),A的单位为岁,W的单位为kg,仅服用卡马西平的患者PB = 0,同时服用PB的患者PB = 1。使用指数模型描述的CL个体间变异(CV%)为21.4%,使用指数误差模型描述的残余误差为18.2%。通过对一组相似但独立的患者进行贝叶斯预测,评估该群体协变量模型的预测性能。预测的和实测的血浆卡马西平浓度之间无统计学显著偏差。获得的卡马西平清除率总体均值与先前报道的具有非常不同种族(白种人和黑人)或地理背景(南非、欧洲和美国)的患者相似。

结论

推导得到的协变量回归模型合理地预测了新加坡患者独立验证数据集中的浓度。卡马西平清除率与患者特定特征之间的相关性因此可用于调整剂量以达到目标稳态血浆浓度。

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