Literature DB >> 29441439

Pediatric Dose Selection and Utility of PBPK in Determining Dose.

Ian E Templeton1, Nicholas S Jones2, Luna Musib2.   

Abstract

Interest in determining safe and efficacious doses for drug administration in pediatric patients has increased dramatically in recent years. However, published pediatric clinical studies have failed to increase proportionally with adult clinical study publications. In order to assess the current state of pediatric dose determination and the supporting role of physiologically based pharmacokinetic modeling and simulation in determining pediatric dose, the pediatric clinical literature (2006-2016) and case examples of pediatric PBPK modeling efforts were reviewed. The objective of this assessment was to investigate the contribution of PBPK to our understanding of the differences between children and adults, which lead to differences in drug dose. Pediatric and adult dose data were available for 31 small molecule drugs. In general, pediatric dose was well-correlated with adult data, with an apparent tendency for higher body weight- or body surface area-normalized pediatric dose. Overall performance of pediatric PBPK modeling approaches was considered to adequately predict observed data. However, model performance was dependent upon age group simulated, with approximately half of neonatal predictions falling outside of 1.5-fold of observed. In conclusion, there is a clear need for further refinement of starting dose in pediatric phase 1 studies, and utilization of PBPK could lead to reduced numbers of patients required to establish safe and efficacious doses in the pediatric population.

Entities:  

Keywords:  PBPK; clinical; oncology; pediatric; phase 1

Mesh:

Substances:

Year:  2018        PMID: 29441439     DOI: 10.1208/s12248-018-0187-8

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  35 in total

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Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

5.  Enterocytic CYP3A4 in a paediatric population: developmental changes and the effect of coeliac disease and cystic fibrosis.

Authors:  T N Johnson; M S Tanner; C J Taylor; G T Tucker
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Authors:  A R Maharaj; J S Barrett; A N Edginton
Journal:  AAPS J       Date:  2013-01-24       Impact factor: 4.009

Review 7.  The ontogeny of drug metabolism enzymes and implications for adverse drug events.

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8.  Evaluation of changes in oral drug absorption in preterm and term neonates for Biopharmaceutics Classification System (BCS) class I and II compounds.

Authors:  Amit A Somani; Kirstin Thelen; Songmao Zheng; Mirjam N Trame; Katrin Coboeken; Michaela Meyer; Katrin Schnizler; Ibrahim Ince; Stefan Willmann; Stephan Schmidt
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Review 9.  Dose escalation methods in phase I cancer clinical trials.

Authors:  Christophe Le Tourneau; J Jack Lee; Lillian L Siu
Journal:  J Natl Cancer Inst       Date:  2009-05-12       Impact factor: 13.506

10.  Application of physiologically based pharmacokinetic modeling to predict acetaminophen metabolism and pharmacokinetics in children.

Authors:  X-L Jiang; P Zhao; J S Barrett; L J Lesko; S Schmidt
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-10-16
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  16 in total

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2.  A Preterm Physiologically Based Pharmacokinetic Model. Part I: Physiological Parameters and Model Building.

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3.  Age-Related Changes in Pediatric Physiology: Quantitative Analysis of Organ Weights and Blood Flows : Age-Related Changes in Pediatric Physiology.

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Journal:  AAPS J       Date:  2021-03-31       Impact factor: 4.009

Review 4.  Opportunities and Challenges for PBPK Model of mAbs in Paediatrics and Pregnancy.

Authors:  Katherine L Gill; Hannah M Jones
Journal:  AAPS J       Date:  2022-06-01       Impact factor: 3.603

Review 5.  Leveraging modeling and simulation to optimize the therapeutic window for epigenetic modifier drugs.

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6.  Physiologically Based Pharmacokinetic Modeling of Monoclonal Antibodies in Pediatric Populations Using PK-Sim.

Authors:  Sumit Basu; Yi Ting Kayla Lien; Valvanera Vozmediano; Jan-Frederik Schlender; Thomas Eissing; Stephan Schmidt; Christoph Niederalt
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7.  A Retrospective Evaluation of Allometry, Population Pharmacokinetics, and Physiologically-Based Pharmacokinetics for Pediatric Dosing Using Clearance as a Surrogate.

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Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-02-26

8.  Development of a physiologically-based pharmacokinetic pediatric brain model for prediction of cerebrospinal fluid drug concentrations and the influence of meningitis.

Authors:  Laurens F M Verscheijden; Jan B Koenderink; Saskia N de Wildt; Frans G M Russel
Journal:  PLoS Comput Biol       Date:  2019-06-13       Impact factor: 4.475

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Review 10.  Nursing Personnel in the Era of Personalized Healthcare in Clinical Practice.

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