Literature DB >> 3754192

Accuracy of Bayesian and Sawchuk-Zaske dosing methods for gentamicin.

M E Burton, M S Chow, D R Platt, R B Day, D C Brater, M R Vasko.   

Abstract

The derived pharmacokinetic variable estimates from a Bayesian aminoglycoside dosing program were compared with those from the Sawchuk-Zaske method to determine which variable estimates were the most accurate in fitting the test dose and in predicting subsequent peak and trough serum concentrations. Data on 17 patients with moderately impaired but stable renal function were analyzed. All patients received gentamicin sulfate for treatment of their infections. To determine the individualized variables using the Bayesian program, demographic data, dosing history, and one (midpoint), two (peak and trough), or four serum drug concentrations were entered into the program. The Sawchuk-Zaske method used three serum concentrations determined following a first dose or four concentrations before and after a subsequent dose to derive individualized pharmacokinetic variables. The estimates of pharmacokinetic variables determined using the Bayesian method with one, two, or four serum concentrations did not differ significantly from those obtained using all the available serum concentrations with the Sawchuk-Zaske method. Although the actual numeric differences of prediction, absolute, and squared errors for fitting the test dose were minimal, significant differences were seen. All methods were similar in predicting serum concentrations from continued dosing. For the prediction error from continued dosing, a slight but significant difference was observed with the Bayesian method using one serum concentration when compared with the other methods. The Bayesian method using one, two, or four serum gentamicin concentrations individualized pharmacokinetic variables as well as the Sawchuk-Zaske method.

Entities:  

Mesh:

Substances:

Year:  1986        PMID: 3754192

Source DB:  PubMed          Journal:  Clin Pharm        ISSN: 0278-2677


  10 in total

Review 1.  Individualising gentamicin dosage regimens. A comparative review of selected models, data fitting methods and monitoring strategies.

Authors:  R W Jelliffe; T Iglesias; A K Hurst; K A Foo; J Rodriguez
Journal:  Clin Pharmacokinet       Date:  1991-12       Impact factor: 6.447

2.  Bayesian forecasting of serum gentamicin concentrations in intensive care patients.

Authors:  K A Rodvold; R D Pryka; P G Kuehl; R A Blum; P Donahue
Journal:  Clin Pharmacokinet       Date:  1990-05       Impact factor: 6.447

3.  Relationship between pharmacokinetic parameters of gentamicin and patient characteristics and/or clinical data in patients with solid organ tumours.

Authors:  A Ortega; A Aldaz; J Giráldez; A Brugarolas
Journal:  Pharm World Sci       Date:  1999-10

4.  Use of Individual Pharmacokinetics to Improve Time to Therapeutic Vancomycin Trough in Pediatric Oncology Patients.

Authors:  Calvin L Miller; S Alexander Winans; John J Veillette; Steven C Forland
Journal:  J Pediatr Pharmacol Ther       Date:  2018 Mar-Apr

5.  Studies on drug monitoring in thrice and once daily treatment with aminoglycosides.

Authors:  F Konrad; R Wagner; B Neumeister; H Rommel; M Georgieff
Journal:  Intensive Care Med       Date:  1993       Impact factor: 17.440

Review 6.  An updated comparison of drug dosing methods. Part III: Aminoglycoside antibiotics.

Authors:  S M Erdman; K A Rodvold; R D Pryka
Journal:  Clin Pharmacokinet       Date:  1991-05       Impact factor: 6.447

Review 7.  Pharmacokinetics of anti-infective agents in paediatric patients.

Authors:  D R Butler; R J Kuhn; M H Chandler
Journal:  Clin Pharmacokinet       Date:  1994-05       Impact factor: 6.447

8.  Comparison of Sawchuk-Zaske and Bayesian forecasting for aminoglycosides in seriously ill patients.

Authors:  C P Denaro; P J Ravenscroft
Journal:  Br J Clin Pharmacol       Date:  1989-07       Impact factor: 4.335

9.  Aminoglycoside forecasting in neutropenic patients with cancer.

Authors:  J L Kosirog; R M Rospond; C Destache; P Hall
Journal:  Clin Pharmacokinet       Date:  1993-01       Impact factor: 6.447

Review 10.  Bayesian estimation of pharmacokinetic parameters: an important component to include in the teaching of clinical pharmacokinetics and therapeutic drug monitoring.

Authors:  Dion R Brocks; Dalia A Hamdy
Journal:  Res Pharm Sci       Date:  2020-11-27
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.