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Physiologically Based Pharmacokinetic (PBPK) Model-Informed Dosing Guidelines for Pediatric Clinical Care: A Pragmatic Approach for a Special Population.
Freriksen, Jolien J M; van der Heijden, Joyce E M; de Hoop-Sommen, Marika A; Greupink, Rick; de Wildt, Saskia N.
Afiliação
  • Freriksen JJM; Department of Pharmacology and Toxicology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands. Jolien.Freriksen@radboudumc.nl.
  • van der Heijden JEM; Department of Pharmacology and Toxicology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
  • de Hoop-Sommen MA; Department of Pharmacology and Toxicology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Greupink R; Department of Pharmacology and Toxicology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
  • de Wildt SN; Department of Pharmacology and Toxicology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Paediatr Drugs ; 25(1): 5-11, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36201128
ABSTRACT
Physiologically based pharmacokinetic (PBPK) modeling can be an attractive tool to increase the evidence base of pediatric drug dosing recommendations by making optimal use of existing pharmacokinetic (PK) data. A pragmatic approach of combining available compound models with a virtual pediatric physiology model can be a rational solution to predict PK and hence support dosing guidelines for children in real-life clinical care, when it can also be employed by individuals with little experience in PBPK modeling. This comes within reach as user-friendly PBPK modeling platforms exist and, for many drugs and populations, models are ready for use. We have identified a list of drugs that can serve as a starting point for pragmatic PBPK modeling to address current clinical dosing needs.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Biológicos Tipo de estudo: Guideline / Prognostic_studies Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Biológicos Tipo de estudo: Guideline / Prognostic_studies Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article