Literature DB >> 26073179

Modeling and simulation in pediatric drug therapy: Application of pharmacometrics to define the right dose for children.

A A Vinks1,2, C Emoto1,2, T Fukuda1,2.   

Abstract

During the past decades significant progress has been made in our understanding of the importance of age-appropriate development of new drug therapies in children. Importantly, several regulatory initiatives in Europe and the US have provided a framework for a rationale. In the US, most notably the enactment of the Best Pharmaceuticals for Children Act (BPCA) and Product Research and Equity Act (PREA) has facilitated the studying of on-patent and off-patent drugs in children. The biggest challenge in pediatric studies is defining a safe and effective dose or dose range in a patient population that can span from premature neonates to adolescents. From a mechanism-based perspective, advances in the science of quantitative pharmacology and pharmacometrics have resulted in the development of model-based approaches to better describe and understand important age-related factors influencing drug disposition and response in pediatric patients. The application of modeling and simulation has been shown to result in better estimates of pediatric doses as evidenced by several studies, although the optimal approach is still being debated. The extrapolation of efficacy findings from adults to the pediatric population has streamlined the development process especially for studies in older children. However, a focus on developmental changes in neonates and infants as well as further developing a paradigm for conducting pharmacodynamic studies in neonates, infants, and children remain important unmet needs. In this overview we will review current approaches for age-appropriate dose selection and highlight ongoing efforts to define exposure-response and clinical outcome relationships across the pediatric age spectrum.
© 2015 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2015        PMID: 26073179     DOI: 10.1002/cpt.169

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  27 in total

1.  Neonates and medicines: a roadmap to further improve neonatal pharmaceutical care.

Authors:  Karel Allegaert; Catherine Sherwin
Journal:  Eur J Pediatr       Date:  2016-01-07       Impact factor: 3.183

Review 2.  Scientific considerations for global drug development.

Authors:  Jennifer L Wilson; Kit Wun Kathy Cheung; Lawrence Lin; Elizabeth A E Green; Analia I Porrás; Ling Zou; David Mukanga; Paul A Akpa; Delese Mimi Darko; Rae Yuan; Sheng Ding; Wiltshire C N Johnson; Howard A Lee; Emer Cooke; Carl C Peck; Steven E Kern; Dan Hartman; Yoshikazu Hayashi; Peter W Marks; Russ B Altman; Murray M Lumpkin; Kathleen M Giacomini; Terrence F Blaschke
Journal:  Sci Transl Med       Date:  2020-07-29       Impact factor: 17.956

Review 3.  State-of-the-Art Review on Physiologically Based Pharmacokinetic Modeling in Pediatric Drug Development.

Authors:  Venkata Yellepeddi; Joseph Rower; Xiaoxi Liu; Shaun Kumar; Jahidur Rashid; Catherine M T Sherwin
Journal:  Clin Pharmacokinet       Date:  2019-01       Impact factor: 6.447

Review 4.  Design and conduct of early phase drug studies in children: challenges and opportunities.

Authors:  Michael Rieder; Daniel Hawcutt
Journal:  Br J Clin Pharmacol       Date:  2016-08-08       Impact factor: 4.335

5.  Infliximab Dosing Strategies and Predicted Trough Exposure in Children With Crohn Disease.

Authors:  Adam Frymoyer; Travis L Piester; K T Park
Journal:  J Pediatr Gastroenterol Nutr       Date:  2016-05       Impact factor: 2.839

6.  Clinical Trial Simulations and Pharmacometric Analysis in Pediatrics: Application to Inhaled Loxapine in Children and Adolescents.

Authors:  Min Dong; Tsuyoshi Fukuda; Sally Selim; Mark A Smith; Laura Rabinovich-Guilatt; James V Cassella; Alexander A Vinks
Journal:  Clin Pharmacokinet       Date:  2017-10       Impact factor: 6.447

Review 7.  Pharmacometrics: The Already-Present Future of Precision Pharmacology.

Authors:  Lorena Cera Bandeira; Leonardo Pinto; Cláudia Martins Carneiro
Journal:  Ther Innov Regul Sci       Date:  2022-08-18       Impact factor: 1.337

8.  Developmental Pharmacokinetics and Age-Appropriate Dosing Design of Milrinone in Neonates and Infants with Acute Kidney Injury Following Cardiac Surgery.

Authors:  Tomoyuki Mizuno; Katja M Gist; Zhiqian Gao; Michael F Wempe; Jeffrey Alten; David S Cooper; Stuart L Goldstein; Alexander A Vinks
Journal:  Clin Pharmacokinet       Date:  2019-06       Impact factor: 6.447

Review 9.  Suggestions for Model-Informed Precision Dosing to Optimize Neonatal Drug Therapy.

Authors:  Joshua C Euteneuer; Suyog Kamatkar; Tsuyoshi Fukuda; Alexander A Vinks; Henry T Akinbi
Journal:  J Clin Pharmacol       Date:  2018-09-11       Impact factor: 3.126

10.  Physiologic Indirect Response Modeling to Describe Buprenorphine Pharmacodynamics in Newborns Treated for Neonatal Opioid Withdrawal Syndrome.

Authors:  Tomoyuki Mizuno; Brooks T McPhail; Suyog Kamatkar; Scott Wexelblatt; Laura Ward; Uwe Christians; Henry T Akinbi; Alexander A Vinks
Journal:  Clin Pharmacokinet       Date:  2021-02       Impact factor: 6.447

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