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

• Published in: Biopharmaceutics & drug disposition Vol. 26; no. 5; pp. 189 - 194
• Main Author: Burm, Jin Pil
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.07.2005; Wiley
• Subjects: Anti-Bacterial Agents - blood; Anti-Bacterial Agents - pharmacokinetics; Appendicitis - diagnosis; Appendicitis - metabolism; appendicitis patients; assay error; Bayes Theorem; Bayesian; Biological and medical sciences; Body Weight; gentamicin; Gentamicins - blood; Gentamicins - pharmacokinetics; Half-Life; Humans; Korea; Least-Squares Analysis; Medical sciences; Nonlinear Dynamics; nonlinear least squares regression analysis; Pharmacology. Drug treatments; Reproducibility of Results; weight; Korea; Human; nonlinear least squares regression analysis; Appendicitis; Gentamicin; assay error; Bayesian; Error; Weight; Antibiotic; appendicitis patients; Aminoglycoside; Digestive diseases; Intestinal disease; Antibacterial agent; Pharmacokinetics
• ISSN: 0142-2782; 1099-081X
• DOI: 10.1002/bdd.450

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 µg/ml in quadruplicate. The polynominal equation of gentamicin assay error was found to be SD (µg/ml)=0.0246−(0.0495C)+(0.00203C2). 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. Copyright © 2005 John Wiley & Sons, Ltd.