School of Pharmacy, University of Waterloo, 200 University Ave W, Waterloo, Ontario N2L 3G1, Canada.
AAPS J. 2013 Apr;15(2):455-64. doi: 10.1208/s12248-013-9451-0. Epub 2013 Jan 24.
The use of physiologically based pharmacokinetic (PBPK) models in the field of pediatric drug development has garnered much interest of late due to a recent Food and Drug Administration recommendation. The purpose of this study is to illustrate the developmental processes involved in creation of a pediatric PBPK model incorporating existing adult drug data. Lorazepam, a benzodiazepine utilized in both adults and children, was used as an example. A population-PBPK model was developed in PK-Sim v4.2® and scaled to account for age-related changes in size and composition of tissue compartments, protein binding, and growth/maturation of elimination processes. Dose (milligrams per kilogram) requirements for children aged 0-18 years were calculated based on simulations that achieved targeted exposures based on adult references. Predictive accuracy of the PBPK model for producing comparable plasma concentrations among 63 pediatric subjects was assessed using average-fold error (AFE). Estimates of clearance (CL) and volume of distribution (V(ss)) were compared with observed values for a subset of 15 children using fold error (FE). Pediatric dose requirements in young children (1-3 years) exceeded adult levels on a linear weight-adjusted (milligrams per kilogram) basis. AFE values for model-derived concentration estimates were within 1.5- and 2-fold deviation from observed values for 73% and 92% of patients, respectively. For CL, 60% and 80% of predictions were within 1.5 and 2 FE, respectively. Comparatively, predictions of V(ss) were more accurate with 80% and 100% of estimates within 1.5 and 2 FE, respectively. Using the presented workflow, the developed pediatric model estimated lorazepam pharmacokinetics in children as a function of age.
基于生理的药代动力学(PBPK)模型在儿科药物开发领域的应用最近引起了广泛关注,这主要是由于美国食品和药物管理局的一项建议。本研究的目的是说明创建包含现有成人药物数据的儿科 PBPK 模型所涉及的开发过程。以苯二氮䓬类药物劳拉西泮为例。在 PK-Sim v4.2®中开发了一个群体 PBPK 模型,并进行了缩放,以考虑到与年龄相关的组织隔室大小和组成、蛋白结合以及消除过程的生长/成熟变化。根据基于成人参考的靶向暴露模拟,计算了 0-18 岁儿童的剂量(毫克/千克)要求。使用平均倍差误差(AFE)评估 PBPK 模型在 63 名儿科患者中产生可比血浆浓度的预测准确性。使用折叠误差(FE)比较了 15 名儿童的一部分清除率(CL)和分布体积(V(ss))的估计值和观察值。在按线性体重调整(毫克/千克)的基础上,幼儿(1-3 岁)的儿科剂量要求超过成人水平。模型衍生浓度估计值的 AFE 值在 73%和 92%的患者中分别在观察值的 1.5-和 2 倍偏差范围内。对于 CL,分别有 60%和 80%的预测值在 1.5 和 2 FE 范围内。相比之下,V(ss)的预测更为准确,分别有 80%和 100%的估计值在 1.5 和 2 FE 范围内。使用所提出的工作流程,开发的儿科模型估计了劳拉西泮在儿童体内随年龄变化的药代动力学。