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Model-Informed Drug Development Approaches to Assist New Drug Development in the COVID-19 Pandemic.
Xiong, Ye; Fan, Jianghong; Kitabi, Eliford; Zhang, Xinyuan; Bi, Youwei; Grimstein, Manuela; Yang, Yuching; Earp, Justin C; Zheng, Nan; Liu, Jiang; Wang, Yaning; Zhu, Hao.
Afiliación
  • Xiong Y; 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.
  • Fan J; 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.
  • Kitabi E; 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.
  • Zhang X; 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.
  • Bi Y; 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.
  • Grimstein M; 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.
  • Yang Y; 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.
  • Earp JC; 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.
  • Zheng N; 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.
  • Liu J; 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.
  • Wang Y; 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.
  • Zhu H; 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.
Clin Pharmacol Ther ; 111(3): 572-578, 2022 03.
Article en En | MEDLINE | ID: mdl-34807992
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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Antivirales / Desarrollo de Medicamentos / COVID-19 / Tratamiento Farmacológico de COVID-19 / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Pharmacol Ther Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Antivirales / Desarrollo de Medicamentos / COVID-19 / Tratamiento Farmacológico de COVID-19 / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Pharmacol Ther Año: 2022 Tipo del documento: Article