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中国癫痫患儿不同年龄组中拉莫三嗪的群体药代动力学模型。

Population pharmacokinetic models of lamotrigine in different age groups of Chinese children with epilepsy.

作者信息

Zhang Zhong-Bin, Ji Shuang-Min, Han Ying, Zang Li-Li, Wang Ying-Hui, Lu Wei, Wang Li, Wu Ye

机构信息

Department of Pediatrics, Peking University First Hospital, No.1 Xi'an Men Street, West District, Beijing, 100034, China.

School of Pharmaceutical Sciences, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China.

出版信息

Eur J Clin Pharmacol. 2017 Apr;73(4):445-453. doi: 10.1007/s00228-016-2190-2. Epub 2017 Jan 7.

Abstract

PURPOSE

The study aims to establish population pharmacokinetic (PPK) models of lamotrigine (LTG) in different age groups of epileptic children by nonlinear mixed effect modelling(NONMEM), and provide essential tools and theoretical basis for individualised optimal drug dose.

METHODS

Cases of 473 epileptic children were divided into infant, toddler and preschool age (≤6 years) (n = 211), school age (6-12 years) (n = 171) and adolescence age (>12 years) (n = 81). A total of 625 steady-state serum trough concentration samples were extracted. The clinical information included demography, medication, serum concentration data and blood biochemical parameters. PPK models of LTG were established by NONMEM program, using first-order absorption and elimination. Demography and drug combination was investigated for influence on apparent clearance (CL) and apparent volume of distribution (Vd). To assess the accuracy and precision of the different ages and whole-age model, the mean prediction error (MPE), mean absolute error (MAE) and root mean squared error (RMSE) were compared.

RESULTS

The final model of LTG in different ages stage and whole age was as follows: (1) infant, toddler and preschool age CL = 0.715 × [(WEIG/16.25)] × (0.458) × (1.99), V = 10.4; (2) school age CL(L/h) = 1.01 × (WEIG/30) × 0.465 × 1.98, Vd(L) = 17.7; (3) adolescence age CL(L/h) = 1.49 × (WEIG/51.5) × 0.498 × 1.7, Vd(L) = 23.1; (4) whole age CL = 0.945 × [(WEIG/25)] × (0.463) × (1.94), V = 16.7 × (WEIG/25) (WEIG, total body weight; VPA, combination with valproate, yes = 1, no = 0; IND, combination with enzyme inducer, yes = 1, no = 0). The values of MPE, MAE and RMSE in age-stage-specific models were less than the ones in the whole-age model, which suggests the age-stage-specific models have better precision and accuracy than the whole-age model.

CONCLUSION

PPK models of LTG in different age groups of epileptic children were successfully established. Weight and combination therapy were identified as significant covariates on LTG clearance. Compared with the whole-age model, the age-specific models are more reliable.

摘要

目的

本研究旨在通过非线性混合效应建模(NONMEM)建立不同年龄组癫痫患儿拉莫三嗪(LTG)的群体药代动力学(PPK)模型,为个体化优化给药剂量提供必要工具和理论依据。

方法

473例癫痫患儿分为婴儿、幼儿及学龄前儿童(≤6岁)组(n = 211)、学龄儿童(6 - 12岁)组(n = 171)和青少年组(>12岁)组(n = 81)。共提取625份稳态血清谷浓度样本。临床信息包括人口统计学资料、用药情况、血清浓度数据及血液生化参数。采用NONMEM程序,通过一级吸收和消除建立LTG的PPK模型。研究人口统计学资料和药物联用情况对表观清除率(CL)和表观分布容积(Vd)的影响。为评估不同年龄组及全年龄组模型的准确性和精密度,比较了平均预测误差(MPE)、平均绝对误差(MAE)和均方根误差(RMSE)。

结果

不同年龄阶段及全年龄组LTG的最终模型如下:(1)婴儿、幼儿及学龄前儿童组CL = 0.715×[(体重/16.25)]×(0.458)×(1.99),V = 10.4;(2)学龄儿童组CL(L/h)= 1.01×(体重/30)×0.465×1.98,Vd(L)= 17.7;(3)青少年组CL(L/h)= 1.49×(体重/51.5)×0.498×1.7,Vd(L)= 23.1;(4)全年龄组CL = 0.945×[(体重/25)]×(0.463)×(1.94),V = 16.7×(体重/25)(体重,总体重;丙戊酸联用情况,联用 = 1,未联用 = 0;酶诱导剂联用情况,联用 = 1,未联用 = 0)。年龄阶段特异性模型的MPE、MAE和RMSE值均低于全年龄组模型,这表明年龄阶段特异性模型比全年龄组模型具有更好的精密度和准确性。

结论

成功建立了不同年龄组癫痫患儿LTG的PPK模型。体重和联合治疗被确定为影响LTG清除率的重要协变量。与全年龄组模型相比,年龄特异性模型更可靠。

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