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通过建模与仿真促进波生坦的儿科研发。

Pediatric Development of Bosentan Facilitated by Modeling and Simulation.

作者信息

Zisowsky Jochen, Géhin Martine, Kusic-Pajic Andjela, Krause Andreas, Beghetti Maurice, Dingemanse Jasper

机构信息

Department of Clinical Pharmacology, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.

Department of Clinical Science and Epidemiology, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.

出版信息

Paediatr Drugs. 2017 Apr;19(2):121-130. doi: 10.1007/s40272-016-0206-0.

Abstract

BACKGROUND

Bosentan is approved for use in adult patients with pulmonary arterial hypertension. The primary aim of the pharmacokinetic modeling was the provision of a systematic guidance for study design and enhanced understanding of pharmacokinetics across the entire pediatric age range.

METHODS

A physiologically based pharmacokinetic model was developed for the pediatric population; starting from an adult model, the effects of body weight, age, and maturation of relevant metabolizing enzymes were incorporated to extrapolate the pharmacokinetics to children. A pediatric population pharmacokinetic model was developed to identify relevant covariates.

RESULTS

Based on model predictions, a dose of 0.5 mg/kg led to an exposure distinguishable from a dose of 2 mg/kg, and an additional blood sampling time point at 2 h (the predicted time of maximum concentration) allowed more precise estimation of bosentan exposure in children. The lower exposure observed in children compared with adults could be explained by maturation-related changes in clearance. Clinical data confirmed the model predictions.

CONCLUSIONS

Maturational changes in drug clearance and developmental changes in body weight were identified as key elements of bosentan pharmacokinetics in pediatric patients. Estimating bosentan exposure using physiologically based and population pharmacokinetic modeling and simulation supported dose selection in pediatric patients. Model-based exposure estimates helped in reducing the number of the youngest pediatric patients to be studied. Pharmacokinetic models can provide a systematic guidance for study design and enhanced understanding of pharmacokinetics across the entire pediatric age range.

摘要

背景

波生坦已获批用于治疗成人肺动脉高压患者。药代动力学建模的主要目的是为研究设计提供系统指导,并增进对整个儿科年龄范围药代动力学的理解。

方法

为儿科人群建立了基于生理的药代动力学模型;从成人模型出发,纳入体重、年龄和相关代谢酶成熟度的影响,以推断儿童的药代动力学。建立儿科群体药代动力学模型以识别相关协变量。

结果

基于模型预测,0.5mg/kg的剂量导致的暴露与2mg/kg的剂量不同,在2小时(预测的最大浓度时间)增加一个血样采集时间点可更精确地估计儿童的波生坦暴露。与成人相比,儿童中观察到的较低暴露可通过清除率的成熟相关变化来解释。临床数据证实了模型预测。

结论

药物清除率的成熟变化和体重的发育变化被确定为儿科患者波生坦药代动力学的关键要素。使用基于生理和群体药代动力学建模与模拟来估计波生坦暴露有助于儿科患者的剂量选择。基于模型的暴露估计有助于减少需研究的最小儿科患者数量。药代动力学模型可为研究设计提供系统指导,并增进对整个儿科年龄范围药代动力学的理解。

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