Literature DB >> 27704554

Prediction of Clearance in Neonates and Infants (≤ 3 Months of Age) for Drugs That Are Glucuronidated: A Comparative Study Between Allometric Scaling and Physiologically Based Pharmacokinetic Modeling.

Iftekhar Mahmood1, Tasneem Ahmad2, Najia Mansoor3, S M Sharib2.   

Abstract

The objective of this study was to evaluate the predictive performances of allometric models and a physiologically based pharmacokinetic model (PBPK) to predict clearance of glucuronidated drugs in neonates (≤ 3 months of age). From the literature, clearance values for 9 drugs (glucuronidated) for neonates and adults were obtained. Three allometric models were used to predict clearances of these glucuronidated drugs. A PBPK model was developed using the physicochemical, biopharmaceutical, and metabolic properties together with known pediatric physiology and enzymatic ontogeny. The model was first developed for adult subjects and then verified using external data and then applied to simulations in neonates. The predictive performances of allometric and PBPK models were evaluated by comparing the predicted values of clearance with the observed clearance values in the neonates. For 9 drugs, there were 13 age groups (preterm and term neonates) for which prediction error in mean clearance values within 0.5- to 1.5-fold was observed in 10 and 11 age groups by 2 allometric models and a PBPK model, respectively. The proposed allometric methods can predict mean clearances of glucuronidated drugs in preterm and term neonates (≤ 3 months of age) with reasonable accuracy (within 0.5- to 1.5-fold or 50% error) and are of practical value during neonatal drug development. The predicted mean clearance values of glucuronidated drugs in neonates ≤ 3 months of age by 2 allometric methods were comparable with the PBPK model.
© 2016, The American College of Clinical Pharmacology.

Entities:  

Keywords:  Clinical Pharmacology (CPH); Drug Metabolism; Neonatology; Pediatrics (PED); Pharmaceutical Medicine (PMD)

Mesh:

Substances:

Year:  2016        PMID: 27704554     DOI: 10.1002/jcph.837

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  5 in total

1.  The feasibility of physiologically based pharmacokinetic modeling in forensic medicine illustrated by the example of morphine.

Authors:  Nadine Schaefer; Daniel Moj; Thorsten Lehr; Peter H Schmidt; Frank Ramsthaler
Journal:  Int J Legal Med       Date:  2017-12-01       Impact factor: 2.686

2.  The use of PBPK modeling across the pediatric age range using propofol as a case.

Authors:  Robin Michelet; Jan Van Bocxlaer; Karel Allegaert; An Vermeulen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-10-08       Impact factor: 2.745

Review 3.  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

4.  Scaling Drug Clearance from Adults to the Young Children for Drugs Undergoing Hepatic Metabolism: A Simulation Study to Search for the Simplest Scaling Method.

Authors:  E A M Calvier; E H J Krekels; T N Johnson; A Rostami-Hodjegan; D Tibboel; Catherijne A J Knibbe
Journal:  AAPS J       Date:  2019-03-08       Impact factor: 4.009

Review 5.  Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development.

Authors:  Kefei Wang; Kun Jiang; Xiaoyi Wei; Yulan Li; Tiejie Wang; Yang Song
Journal:  AAPS PharmSciTech       Date:  2021-07-26       Impact factor: 3.246

  5 in total

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