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Eur J Drug Metab Pharmacokinet 2016 Dec;41(6):767-75

Prediction of antimalarial drug clearance in children: a comparison of three different interspecies scaling methods.

Mahmood I, Cheng A, Brauer E, Humeniuk R

Abstract

BACKGROUND AND OBJECTIVE: Allometric scaling is extensively used for the prediction of pharmacokinetic parameters from animals to humans and is often used for the selection of first-in-human dose. Allometric scaling can also be used to predict a pharmacokinetic parameter in children from adult data including animal species such as rat and dog. The current study was undertaken to evaluate if the clearances of antimalarial drugs in children with malaria can be predicted allometrically (interspecies scaling) from adult rat, dog, and human adult (healthy as well patients with malaria) clearance values. METHODS: Three methods [simple allometry, maximum lifespan potential (MLP), and MLP with an empirical correction factor] using clearance values from adult rat, dog, and adult humans with and without malaria were used for the prediction of antimalarial drug clearance in children with malaria. RESULTS: The results of this study indicated that the simple allometry would systematically over-predict antimalarial drug clearance in children with malaria whereas the application of MLP would under-predict the clearances of these drugs in children. Therefore, an empirical correction factor was introduced to MLP which substantially improved the antimalarial drug clearances in children. CONCLUSIONS: Overall, the results of the study indicated that interspecies scaling using adult rat, dog, and human clearance values of antimalarial drugs could possibly be used to predict drug clearance in children with malaria of different age groups and may be useful during pediatric drug development of antimalarial drugs.


Category: Journal Article
PubMed ID: #26547922 DOI: 10.1007/s13318-015-0305-2
Includes FDA Authors from Scientific Area(s): Biologics Women's Health
Entry Created: 2016-02-19 Entry Last Modified: 2017-01-02
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