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Population pharmacokinetics of carbamazepine in Singapore epileptic patients.

机译:卡马西平在新加坡癫痫患者中的群体药代动力学。

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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.
机译:目的:记录卡马西平在居住在新加坡的癫痫患者中的总体药代动力学,其中大多数为中国血统,其他为少数种族。方法:在新加坡各家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。在NONMEM程序中,使用非线性混合效应模型,同时检验了年龄,体重,性别,种族,配方和同时用药(针对其他疾病)的固定作用(协变量)对卡马西平清除率的平均值的影响。 。结果:未发现年龄,性别,种族或配方相关的影响。体重(W),年龄(A)和并用苯巴比妥(PB)的药物成为卡马西平清除率(CL)的决定因素。发现最能描述该数据的卡马西平清除率的最终回归模型为CL = 40.7 x A(0.494)x W(-1.17)x 1.44PB,其中CL在l天(-1)kg(-1)中,A在年,W以千克为单位,仅卡马西平的患者的PB = 0,伴有PB的患者的PB = 1。使用指数模型描述的CL中相应的个体间变异性(CV%)为21.4%,而使用指数误差模型描述的残留误差为18.2%。贝叶斯预测在类似但独立的患者队列中评估了该人群协变量模型的预测性能。在预测的和测量的血浆卡马西平浓度之间没有统计学上的显着偏差。获得的卡马西平清除率的总体平均值与先前报道的种族差异(高加索人和黑人)或地理背景(南非,欧洲和美国)不同的患者相似。结论:推导的协变量回归模型可以合理地预测单独的验证新加坡患者数据集中的浓度。卡马西平清除率与患者特定特征之间的相关性因此可以允许进行剂量调整以实现目标稳态血浆浓度。

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