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基于模型的儿科剂量选择中的药物研发。

Model-Informed Drug Development in Pediatric Dose Selection.

机构信息

Office of Clinical Pharmacology, Food and Drug Administration, Silver Spring, Maryland, USA.

出版信息

J Clin Pharmacol. 2021 Jun;61 Suppl 1:S60-S69. doi: 10.1002/jcph.1848.

Abstract

Model-informed drug development (MIDD) has been a powerful and efficient tool applied widely in pediatric drug development due to its ability to integrate and leverage existing knowledge from different sources to narrow knowledge gaps. The dose selection is the most common MIDD application in regulatory submission related to pediatric drug development. This article aims to give an overview of the 3 broad categories of use of MIDD in pediatric dose selection: leveraging from adults to pediatric patients, leveraging from animals to pediatric patients, and integrating mechanism in infants and neonates. Population pharmacokinetic analyses with allometric scaling can reasonably predict the clearance in pediatric patients aged >5 years. A mechanistic-based approach, such as physiologically based pharmacokinetic accounting for ontogeny, or an allometric model with age-dependent exponent, can be applied to select the dose in pediatric patients aged ≤2 years. The exposure-response relationship from adults or from other drugs in the same class may be useful in aiding the pediatric dose selection and benefit-risk assessment. Increasing application and understanding of use of MIDD have contributed greatly to several policy developments in the pediatric field. With the increasing efforts of MIDD under the Prescription Drug User Fee Act VI, bigger impacts of MIDD approaches in pediatric dose selection can be expected. Due to the complexity of model-based analyses, early engagement between drug developers and regulatory agencies to discuss MIDD issues is highly encouraged, as it is expected to increase the efficiency and reduce the uncertainty.

摘要

模型指导药物研发(MIDD)在儿科药物研发中得到了广泛应用,因为它能够整合和利用来自不同来源的现有知识,以缩小知识差距,是一种强大且高效的工具。剂量选择是 MIDD 在儿科药物研发相关监管申报中最常见的应用。本文旨在概述 MIDD 在儿科剂量选择中的 3 种广泛应用:从成人到儿科患者的应用、从动物到儿科患者的应用以及在婴儿和新生儿中整合机制的应用。使用体表面积标化的群体药代动力学分析可以合理地预测年龄大于 5 岁的儿科患者的清除率。基于机制的方法,如考虑个体发育的生理药代动力学,或具有年龄依赖性指数的体表面积模型,可用于选择年龄小于等于 2 岁的儿科患者的剂量。来自成人或同一类别的其他药物的暴露-反应关系可能有助于辅助儿科剂量选择和获益-风险评估。MIDD 的应用和理解的增加极大地促进了儿科领域的一些政策发展。随着《处方药使用者付费法案 VI》下 MIDD 的应用不断增加,可以预期 MIDD 方法在儿科剂量选择中的影响会更大。由于基于模型的分析较为复杂,药物开发者和监管机构之间应尽早进行讨论,以解决 MIDD 问题,这有望提高效率并降低不确定性。

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