Literature DB >> 11699615

Population pharmacokinetics of amikacin at birth and interindividual variability in renal maturation.

N Bleyzac1, V Varnier, J M Labaune, S Corvaisier, P Maire, R W Jelliffe, G Putet, G Aulagner.   

Abstract

OBJECTIVE: Pharmacokinetic (PK) interindividual variability in amikacin has been shown to be wide in neonates. This study evaluated the evolution of this variability with gestational age (GA) at birth in relation to renal maturation.
METHODS: Population PK values of amikacin were studied in 131 newborns (postnatal age 1 day, GA 24-41 weeks) divided into 16 groups, defined by GA, from 24 to 41 weeks (with a mean of 8.2 infants per group). PK variables were Kel/Vol, Ks/Vs, Cl/Vol. Cls/ where: Kel = Kslope x GA + Kintercept, Cl = Clslope x GA + Clintercept, and Vol = Vs x body weight. Ki and Cli were held as constants. The nonparametric distribution of the probability density function (PDF) was obtained, as were mean, median, and SD values of each PK variable for each GA group.
RESULTS: Amikacin elimination increased linearly with GA, showing that GA is a good covariate of renal elimination. Amikacin volume of distribution increased with body weight up to a GA of about 38 weeks and then decreased for highest GA values. However, the PDF for the individual GA groups showed a multimodal PK distribution. Kel, Vol, Vs, Cl, and Cl, standard deviations increased linearly with GA, showing differential renal maturation. The higher the GA, the more interindividual PK variability increased.
CONCLUSIONS: These results show that amikacin elimination and the volume of distribution are dependent upon GA, and that differential renal maturation in neonates is responsible for the wider PK interindividual variability with high GA. Dosage regimens of amikacin and other aminoglycosides should be revised in newborns with high GA. Bayesian adaptive control of therapeutics might be particularly indicated to obtain efficacy for each neonate as early as the first dose.

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Year:  2001        PMID: 11699615     DOI: 10.1007/s002280100355

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  9 in total

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Authors:  Toshimi Kimura; Keisuke Sunakawa; Nobuo Matsuura; Hiroaki Kubo; Shigehiko Shimada; Kazuo Yago
Journal:  Antimicrob Agents Chemother       Date:  2004-04       Impact factor: 5.191

2.  Amikacin maturation model as a marker of renal maturation to predict glomerular filtration rate and vancomycin clearance in neonates.

Authors:  Wei Zhao; Valérie Biran; Evelyne Jacqz-Aigrain
Journal:  Clin Pharmacokinet       Date:  2013-12       Impact factor: 6.447

3.  Limited predictability of amikacin clearance in extreme premature neonates at birth.

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4.  Individualised dosing of amikacin in neonates: a pharmacokinetic/pharmacodynamic analysis.

Authors:  Catherine M T Sherwin; Sofia Svahn; Antje Van der Linden; Roland S Broadbent; Natalie J Medlicott; David M Reith
Journal:  Eur J Clin Pharmacol       Date:  2009-03-21       Impact factor: 2.953

Review 5.  Pharmacokinetic studies in infants using minimal-risk study designs.

Authors:  Julie Autmizguine; Daniel K Benjamin; P Brian Smith; Mario Sampson; Philippe Ovetchkine; Michael Cohen-Wolkowiez; Kevin M Watt
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6.  Evaluating renal function and age as predictors of amikacin clearance in neonates: model-based analysis and optimal dosing strategies.

Authors:  Sílvia M Illamola; Helena Colom; J G Coen van Hasselt
Journal:  Br J Clin Pharmacol       Date:  2016-06-30       Impact factor: 4.335

Review 7.  Clinical pharmacokinetics of aminoglycosides in the neonate: a review.

Authors:  Gian Maria Pacifici
Journal:  Eur J Clin Pharmacol       Date:  2008-12-23       Impact factor: 2.953

Review 8.  Population pharmacokinetic analysis during the first 2 years of life: an overview.

Authors:  Amélie Marsot; Audrey Boulamery; Bernard Bruguerolle; Nicolas Simon
Journal:  Clin Pharmacokinet       Date:  2012-12       Impact factor: 6.447

Review 9.  Amikacin: Uses, Resistance, and Prospects for Inhibition.

Authors:  Maria S Ramirez; Marcelo E Tolmasky
Journal:  Molecules       Date:  2017-12-19       Impact factor: 4.411

  9 in total

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