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基于模型的药物研发方法在 COVID-19 大流行期间辅助新药研发。

Model-Informed Drug Development Approaches to Assist New Drug Development in the COVID-19 Pandemic.

机构信息

Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Science, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.

出版信息

Clin Pharmacol Ther. 2022 Mar;111(3):572-578. doi: 10.1002/cpt.2491. Epub 2021 Dec 4.

Abstract

Leveraging limited clinical and nonclinical data through modeling approaches facilitates new drug development and regulatory decision making amid the coronavirus disease 2019 (COVID-19) pandemic. Model-informed drug development (MIDD) is an essential tool to integrate those data and generate evidence to (i) provide support for effectiveness in repurposed or new compounds to combat COVID-19 and dose selection when clinical data are lacking; (ii) assess efficacy under practical situations such as dose reduction to overcome supply issues or emergence of resistant variant strains; (iii) demonstrate applicability of MIDD for full extrapolation to adolescents and sometimes to young pediatric patients; and (iv) evaluate the appropriateness for prolonging a dosing interval to reduce the frequency of hospital visits during the pandemic. Ongoing research activities of MIDD reflect our continuous effort and commitment in bridging knowledge gaps that leads to the availability of effective treatments through innovation. Case examples are presented to illustrate how MIDD has been used in various stages of drug development and has the potential to inform regulatory decision making.

摘要

利用建模方法利用有限的临床和非临床数据,有助于在 2019 年冠状病毒病(COVID-19)大流行期间进行新药开发和监管决策。模型指导药物开发(MIDD)是整合这些数据并生成证据的重要工具,可用于:(i)在缺乏临床数据的情况下,为重新利用或新化合物对抗 COVID-19的有效性和剂量选择提供支持;(ii)在实际情况下评估疗效,例如降低剂量以克服供应问题或出现耐药变异株;(iii)证明 MIDD 可完全外推至青少年,有时可外推至年轻儿科患者;(iv)评估延长剂量间隔以减少大流行期间医院就诊频率的适宜性。正在进行的 MIDD 研究活动反映了我们不断努力和承诺,弥合知识差距,通过创新提供有效治疗方法。本文提供了案例示例,说明 MIDD 如何在药物开发的各个阶段使用,并有可能为监管决策提供信息。

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