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Predictive Performance of Physiologically Based Pharmacokinetic and Population Pharmacokinetic Modeling of Renally Cleared Drugs in Children

机译:儿童肾脏清除药物的生理基础药代动力学和群体药代动力学建模的预测性能

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摘要

Predictive performance of physiologically based pharmacokinetic (PBPK) and population pharmacokinetic (PopPK) models of drugs predominantly eliminated through kidney in the pediatric population was evaluated. After optimization using adult clinical data, the verified PBPK models can predict 33 of 34 drug clearance within twofold of the observed values in children 1 month and older. More specifically, 10 of 11 of predicted clearance values were within 1.5?¢????fold of those observed in children between 1 month and 2 years old. The PopPK approach also predicted 19 of 21 drug clearance within twofold of the observed values in children. In summary, our analysis demonstrated both PBPK and PopPK adult models, after verification with additional adult pharmacokinetic (PK) studies and incorporation of known ontogeny of renal filtration, could be applied for dosing regimen recommendation in children 1 month and older for renally eliminated drugs in a first?¢????in?¢????pediatric study.
机译:评估了在儿科人群中主要通过肾脏消除的药物的基于生理的药代动力学(PBPK)和人群药代动力学(PopPK)模型的预测性能。使用成人临床数据进行优化后,经过验证的PBPK模型可以预测1个月及以上儿童的34种药物中的33种药物清除率是观察值的两倍。更具体地说,在11个月的预测清除率值中有10个在1个月至2岁的儿童中观察到的清除率值的1.5倍之内。 PopPK方法还预测了21个药物中的19个药物清除率,是儿童观察值的两倍。总而言之,我们的分析表明,PBPK和PopPK成人模型均需经过其他成人药代动力学(PK)研究的验证,并纳入已知的肾滤过法后,可用于1个月及1岁以上儿童的肾脏消灭药物推荐用药方案。第一次在儿科研究中。

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