Literature DB >> 7927851

Abbott PKS system: a new version for applied pharmacokinetics including Bayesian estimation.

B Lacarelle1, P Pisano, T Gauthier, P H Villard, F Guder, J Catalin, A Durand.   

Abstract

Abbott Laboratories has developed a new software package (Abbottbase pharmacokinetic system or PKS package) that employs the principles of pharmacokinetics to assist clinical pharmacologists and clinicians in designing dosage regimens. This software, which runs on IBM PC compatibles, allows Bayesian estimation of individual pharmacokinetic parameters. The aim of the present study was to validate this new system in routine clinical practice for amikacin (40 intensive care unit patients) and theophylline (20 patients). By using the program one or more times during the treatment (50 cases for amikacin and 46 cases for theophylline), dosing recommendations were obtained in real time for all patients. The predictive performance (bias and precision) was assessed by comparing predicted drug concentrations with those measured 24-48 h after dosage recommendation. In the case of amikacin, precision and bias were computed separately for peak and trough levels. In all cases, no statistically significant bias was observed. Finally, our results demonstrate the accuracy of the program in predicting drug levels for amikacin and theophylline. Consequently, the PKS package is reliable for the choice of optimal dosage regimen for amikacin and theophylline.

Entities:  

Mesh:

Substances:

Year:  1994        PMID: 7927851     DOI: 10.1016/0020-7101(94)90103-1

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  5 in total

Review 1.  Benchmarking therapeutic drug monitoring software: a review of available computer tools.

Authors:  Aline Fuchs; Chantal Csajka; Yann Thoma; Thierry Buclin; Nicolas Widmer
Journal:  Clin Pharmacokinet       Date:  2013-01       Impact factor: 6.447

2.  Therapeutic drug monitoring of linezolid: a retrospective monocentric analysis.

Authors:  Federico Pea; Mario Furlanut; Piergiorgio Cojutti; Francesco Cristini; Eleonora Zamparini; Loretta Franceschi; Pierluigi Viale
Journal:  Antimicrob Agents Chemother       Date:  2010-08-23       Impact factor: 5.191

3.  Design and Usability of an Electronic Health Record-Integrated, Point-of-Care, Clinical Decision Support Tool for Modeling and Simulation of Antihemophilic Factors.

Authors:  Susan M Abdel-Rahman; Harpreet Gill; Shannon L Carpenter; Pathe Gueye; Brian Wicklund; Matt Breitkreutz; Arindam Ghosh; Avinash Kollu
Journal:  Appl Clin Inform       Date:  2020-04-08       Impact factor: 2.342

4.  A New Method for Individualized Digoxin Dosing in Elderly Patients.

Authors:  Ana Martin-Suarez; David García González; Juan F Macías Núñez; Ramón Ardanuy Albajar; M Victoria Calvo Hernández
Journal:  Drugs Aging       Date:  2016-04       Impact factor: 3.923

5.  Design and Testing of an EHR-Integrated, Busulfan Pharmacokinetic Decision Support Tool for the Point-of-Care Clinician.

Authors:  Susan M Abdel-Rahman; Matthew L Breitkreutz; Charlie Bi; Brett J Matzuka; Jignesh Dalal; K Leigh Casey; Uttam Garg; Sara Winkle; J Steven Leeder; JeanAnn Breedlove; Brian Rivera
Journal:  Front Pharmacol       Date:  2016-03-30       Impact factor: 5.810

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.