Literature DB >> 3631119

Bayesian and least-squares methods for vancomycin dosing.

M Uaamnuichai, R B Day, D C Brater.   

Abstract

The authors assessed the performance of a Bayesian and a least squares method for predicting individual pharmacokinetic parameters for vancomycin. For clearance, the best performance of both methods was an absolute error of approximately 5%. This level of accuracy required 4 serum vancomycin concentrations with the least squares method but could be achieved with a peak and trough concentration with the Bayesian method. For volume of distribution, the best performance occurred with 3 or 4 levels with both methods and amounted to an error of about 15%. In conclusion, both methods of estimating vancomycin pharmacokinetics perform comparably, but the Bayesian method appears to require fewer data.

Entities:  

Mesh:

Substances:

Year:  1987        PMID: 3631119     DOI: 10.1097/00000441-198708000-00008

Source DB:  PubMed          Journal:  Am J Med Sci        ISSN: 0002-9629            Impact factor:   2.378


  5 in total

Review 1.  Bayesian parameter estimation and population pharmacokinetics.

Authors:  A H Thomson; B Whiting
Journal:  Clin Pharmacokinet       Date:  1992-06       Impact factor: 6.447

Review 2.  Clinical pharmacokinetics 1990.

Authors:  G R Matzke; W L St Peter
Journal:  Clin Pharmacokinet       Date:  1990-01       Impact factor: 6.447

3.  Influences of renal function descriptors on population pharmacokinetic modeling of vancomycin in Chinese adult patients.

Authors:  Xi-Wei Ji; Shuang-Min Ji; Xiao-Rong He; Xiao Zhu; Rong Chen; Wei Lu
Journal:  Acta Pharmacol Sin       Date:  2017-08-24       Impact factor: 6.150

Review 4.  An updated comparison of drug dosing methods. Part IV: Vancomycin.

Authors:  R D Pryka; K A Rodvold; S M Erdman
Journal:  Clin Pharmacokinet       Date:  1991-06       Impact factor: 6.447

5.  A Free Open-Source Bayesian Vancomycin Dosing App for Adults: Design and Evaluation Study.

Authors:  Thomas Oommen; Anirudh Thommandram; Adam Palanica; Yan Fossat
Journal:  JMIR Form Res       Date:  2022-03-30
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.