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A Neonatal Amikacin Covariate Model Can Be Used to Predict Ontogeny of Other Drugs Eliminated Through Glomerular Filtration in Neonates
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. (Farmakometri)
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2014 (English)In: Pharmaceutical research, ISSN 0724-8741, E-ISSN 1573-904X, Vol. 31, no 3, 754-767 p.Article in journal (Refereed) Published
Abstract [en]

PURPOSE

Recently, a covariate model characterizing developmental changes in clearance of amikacin in neonates has been developed using birth bodyweight and postnatal age. The aim of this study was to evaluate whether this covariate model can be used to predict maturation in clearance of other renally excreted drugs.

METHODS

Five different neonatal datasets were available on netilmicin, vancomycin, tobramycin and gentamicin. The extensively validated covariate model for amikacin clearance was used to predict clearance of these drugs. In addition, independent reference models were developed based on a systematic covariate analysis.

RESULTS

The descriptive and predictive properties of the models developed using the amikacin covariate model were good, and fairly similar to the independent reference models (goodness-of-fit plots, NPDE). Moreover, similar clearance values were obtained for both approaches. Finally, the same covariates as in the covariate model of amikacin, i.e. birth bodyweight and postnatal age, were identified on clearance in the independent reference models.

CONCLUSIONS

This study shows that pediatric covariate models may contain physiological information since information derived from one drug can be used to describe other drugs. This semi-physiological approach may be used to optimize sparse data analysis and to derive individualized dosing algorithms for drugs in children.

Place, publisher, year, edition, pages
2014. Vol. 31, no 3, 754-767 p.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:uu:diva-212990DOI: 10.1007/s11095-013-1197-yISI: 000332008800018PubMedID: 24065592OAI: oai:DiVA.org:uu-212990DiVA: diva2:680095
Available from: 2013-12-17 Created: 2013-12-17 Last updated: 2017-12-06Bibliographically approved

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Nielsen, Elisabet I

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