Literature DB >> 30968215

Clinical Pharmacology and Pharmacometrics to Better Understand Physiological Changes During Pregnancy and Neonatal Life.

Tamara van Donge1, Katrina Evers2, Gilbert Koch2, John van den Anker2,3,4, Marc Pfister2,5.   

Abstract

Pregnant women, fetuses, and newborns are particularly vulnerable patient populations. During pregnancy, the body is subject to physiological changes that influence the pharmacokinetics and pharmacodynamics of drugs. Inappropriate dosing in pregnant women can result in sub-therapeutic or toxic effects, putting not only the pregnant woman but also her fetus at risk. During neonatal life, maturation processes also affect pharmacokinetics and pharmacodynamics of drugs. Inappropriate dosing in newborns leads not only to short-term complications but can also have a negative impact on the long-term development of infants and children. For these reasons, it is crucial to characterize physiological changes in pregnant women, describe placental transfer kinetics of drugs, and describe physiological changes related to the transition from intrauterine to extrauterine life and maturation processes in preterm and term neonates. Quantitative pharmacological approaches such as pharmacometric and physiologically-based modeling and model-based simulations can be useful to better understand and predict such physiological changes and their effects on drug exposure and response. This review article (1) gives an overview of physiological changes in pregnant women, their fetuses, and (pre)term neonates, (2) presents case studies to illustrate applications of new modeling and simulation approaches, and (3) discusses challenges and opportunities in optimizing and personalizing treatments during pregnancy and neonatal life.

Entities:  

Keywords:  Drug exposure; Fetus; Newborn; Pediatric pharmacology; Pharmacometrics; Pregnancy

Year:  2019        PMID: 30968215     DOI: 10.1007/164_2019_210

Source DB:  PubMed          Journal:  Handb Exp Pharmacol        ISSN: 0171-2004


  3 in total

1.  Optimizing Dolutegravir Initiation in Neonates Using Population Pharmacokinetic Modeling and Simulation.

Authors:  Joseph Piscitelli; Mina Nikanjam; Brookie M Best; Edward Acosta; Mark Mirochnick; Diana F Clarke; Edmund V Capparelli; Jeremiah D Momper
Journal:  J Acquir Immune Defic Syndr       Date:  2022-01-01       Impact factor: 3.771

2.  Use of Modeling and Simulations to Determine Raltegravir Dosing in Neonates: A Model for Safely and Efficiently Determining Appropriate Neonatal Dosing Regimens: IMPAACT P1110.

Authors:  Diana F Clarke; Mark Mirochnick; Edward P Acosta; Edmund Capparelli; Anne Chain; Hedy Teppler; Betsy Smith; Jos Lommerse
Journal:  J Acquir Immune Defic Syndr       Date:  2019-12-01       Impact factor: 3.731

3.  Leveraging Predictive Pharmacometrics-Based Algorithms to Enhance Perinatal Care-Application to Neonatal Jaundice.

Authors:  Gilbert Koch; Melanie Wilbaux; Severin Kasser; Kai Schumacher; Britta Steffens; Sven Wellmann; Marc Pfister
Journal:  Front Pharmacol       Date:  2022-08-11       Impact factor: 5.988

  3 in total

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