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- Title
Limited sampling strategy using Bayesian estimation for estimating individual exposure of the once-daily prolonged-release formulation of tacrolimus in kidney transplant children.
- Authors
Zhao, Wei; Maisin, Anne; Baudouin, Véronique; Fakhoury, May; Storme, Thomas; Deschênes, Georges; Jacqz-Aigrain, Evelyne
- Abstract
Background: A limited sampling strategy (LSS) for estimating the area under the curve (AUC) of the prolonged-release formulation of tacrolimus (tacrolimus) is not available in pediatric patients, although the method is of real benefit to children. The objective of this study was to develop and validate a reliable and clinically applicable LSS using Bayesian estimation for estimating tacrolimus AUC in pediatric kidney transplant patients Methods: The original tacrolimus pharmacokinetic dataset consisted of 22 full profiles from 22 pediatric kidney transplant patients. The Bayesian estimation method was used to develop the LSS. External validation was performed in an independent validation group which consisted of 20 full pharmacokinetic profiles from 12 pediatric kidney transplant patients. Results: Bayesian estimator using C C and C gave the best predictive performance with a mean prediction error of 2.2 % in the external validation dataset. There was no correlation between the prediction error and age. The Bland-Altman analysis showed that the mean difference between the reference and Bayesian-estimated AUC was 3.5 (95 % confidence interval −3.5-10.5) ng h/mL Conclusions: A reliable and clinically applicable LSS for estimating AUC of tacrolimus was determined and validated in children. The prediction was unbiased and precise. It can be used as a routine procedure to perform AUC-based tacrolimus dosage optimization in pediatric renal transplant patients.
- Subjects
PHARMACEUTICAL arithmetic; CONFIDENCE intervals; CONTROLLED release preparations; STATISTICAL correlation; EXPERIMENTAL design; GENETIC polymorphisms; KIDNEY transplantation; MACROLIDE antibiotics; RESEARCH methodology; RESEARCH evaluation; RESEARCH funding; SPECTROPHOTOMETRY; RESEARCH methodology evaluation; DATA analysis software; DESCRIPTIVE statistics
- Publication
European Journal of Clinical Pharmacology, 2013, Vol 69, Issue 5, p1181
- ISSN
0031-6970
- Publication type
Article
- DOI
10.1007/s00228-012-1457-5