Literature DB >> 21417791

Prediction of drug clearance in children 3 months and younger: an allometric approach.

Iftekhar Mahmood1.   

Abstract

BACKGROUND: Sometimes it might not be possible to conduct a pharmacokinetic (PK) study in neonates and infants. Under these circumstances, one would like to predict PK parameters in this age group. Because drug clearance is the most important PK parameter, the objective of this study was to describe an allometric method to predict drug clearance in children ≤3 months.
METHODS: In total, 43 drugs (107 observations) were randomly selected for this study. The age of the children ranged from 0 to 1 year. Children were divided into two groups: ≤3 months and ≥3 months to 1 year. Drug clearance (CL) in children was predicted using the following equation: CL in the child=adult CL×(weight of the child/70)(0.75 or 1.0 or 1.2).
RESULTS: The results of the study indicated that the exponent 1.2 performs better in the prediction of drug clearance than exponent 1.0 or 0.75 for children ≤3 months. By contrast, exponent 1.0 provided better prediction for children ≥3 months to 1 year than exponent 1.2. Exponent 0.75 provided the worst results leading to substantial prediction error in children 0-1 year (in many instances more than 1000% prediction error).
CONCLUSIONS: Overall, it appears that exponent 1.2 is the best method out of three methods for reasonably accurate prediction of drug clearance in children ≤3 months old. However, exponent 1.2 will underpredict drug clearance in children older than 3 months. The suggested approach could be used to support the choice of the initial dose in clinical trials for children ≤3 months old.

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Year:  2010        PMID: 21417791     DOI: 10.1515/DMDI.2010.004

Source DB:  PubMed          Journal:  Drug Metabol Drug Interact        ISSN: 0792-5077


  7 in total

1.  Prediction of drug clearance in children: an evaluation of the predictive performance of several models.

Authors:  Iftekhar Mahmood; Carl-Michael Staschen; Kosalaram Goteti
Journal:  AAPS J       Date:  2014-10-02       Impact factor: 4.009

2.  Prediction of Clearance, Volume of distribution, and Half-life of Drugs in Extremely Low to Low Birth Weight Neonates: An Allometric Approach.

Authors:  Iftekhar Mahmood
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-08       Impact factor: 2.441

3.  Scaling adult doses of antifungal and antibacterial agents to children.

Authors:  Thomas H Dawson
Journal:  Antimicrob Agents Chemother       Date:  2012-03-26       Impact factor: 5.191

4.  The allometric exponent for scaling clearance varies with age: a study on seven propofol datasets ranging from preterm neonates to adults.

Authors:  Chenguang Wang; Karel Allegaert; Mariska Y M Peeters; Dick Tibboel; Meindert Danhof; Catherijne A J Knibbe
Journal:  Br J Clin Pharmacol       Date:  2014-01       Impact factor: 4.335

Review 5.  Dosing in children: a critical review of the pharmacokinetic allometric scaling and modelling approaches in paediatric drug development and clinical settings.

Authors:  Iftekhar Mahmood
Journal:  Clin Pharmacokinet       Date:  2014-04       Impact factor: 6.447

6.  Prediction of glucuronidated drug clearance in pediatrics (≤5 years): An allometric approach.

Authors:  Iftekhar Mahmood
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2014-02-12       Impact factor: 2.441

7.  Population Pharmacokinetic/Pharmacodynamic Modeling of Methylprednisolone in Neonates Undergoing Cardiopulmonary Bypass.

Authors:  Christoph P Hornik; Daniel Gonzalez; Julie Dumond; Huali Wu; Eric M Graham; Kevin D Hill; Michael Cohen-Wolkowiez
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-10-23
  7 in total

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