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The influence of weight with assay error on gentamicin pharmacokinetics using the Bayesian and nonlinear least square regression analysis in appendicitis patients.

Abstract
The purpose of this study was to determine the influence of weight with gentamicin assay error on the Bayesian and nonlinear least squares regression analysis in 12 Korean appendicitis patients. Gentamicin was administered intravenously over 0.5 h every 8 h. Three specimens were collected 48 h after the first dose from all patients at the following times, just before the regularly scheduled infusion, at 0.5 h and 2 h after the end of the 0.5 h infusion. Serum gentamicin levels were analysed by fluorescence polarization immunoassay technique with TDxFLx. The standard deviation (SD) of the assay over its working range had been determined at the serum gentamicin concentrations of 0, 2, 4, 8, 12 and 16 microg/ml in quadruplicate. The polynominal equation of gentamicin assay error was found to be SD (microg/ml) = 0.0246-(0.0495C) + (0.00203C(2)). There were differences in the influence of weight with gentamicin assay error on pharmacokinetic parameters of gentamicin using the nonlinear least squares regression analysis but there were no differences on the Bayesian analysis. This polynominal equation can be used to improve the precision of fitting of pharmacokinetic models to optimize the process of model simulation both for population and for individualized pharmacokinetic models. The result would be improved dosage regimens and the better, safer care of patients receiving gentamicin.
AuthorsJin Pil Burm
JournalBiopharmaceutics & drug disposition (Biopharm Drug Dispos) Vol. 26 Issue 5 Pg. 189-94 (Jul 2005) ISSN: 0142-2782 [Print] England
PMID15906419 (Publication Type: Clinical Trial, Journal Article, Research Support, Non-U.S. Gov't)
CopyrightCopyright 2005 John Wiley & Sons, Ltd.
Chemical References
  • Anti-Bacterial Agents
  • Gentamicins
Topics
  • Anti-Bacterial Agents (blood, pharmacokinetics)
  • Appendicitis (diagnosis, metabolism)
  • Bayes Theorem
  • Body Weight
  • Gentamicins (blood, pharmacokinetics)
  • Half-Life
  • Humans
  • Korea
  • Least-Squares Analysis
  • Nonlinear Dynamics
  • Reproducibility of Results

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