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Open‐source maximum a posteriori‐bayesian dosing AdDS to current therapeutic drug monitoring: Adapting to the era of individualized therapy.

Authors :
Smith, Nicholas M.
Chan, Arthur
Wilkinson, Laura A.
Chua, Hubert C.
Nguyen, Thomas D.
de Souza, Harriet
Shah, Anant P.
D'Argenio, David Z.
Mergenhagen, Kari A.
Source :
Pharmacotherapy; Nov2021, Vol. 41 Issue 11, p953-963, 11p
Publication Year :
2021

Abstract

Recent updates in the therapeutic drug monitoring (TDM) guidelines for vancomycin have rekindled interest in maximum a posteriori‐Bayesian (MAP‐Bayesian) estimation of patient‐specific pharmacokinetic parameters. To create a versatile infrastructure for MAP‐Bayesian dosing of vancomycin or other drugs, a freely available, R‐based software package, Advanced Dosing Solutions (AdDS), was created to facilitate clinical implementation of these improved TDM methods. The objective of this study was to utilize AdDS for pre‐ and post‐processing of data in order to streamline the therapeutic management of vancomycin in healthy and obese veterans. Patients from a local Veteran Affairs hospital were utilized to compare the process of full re‐estimation versus Bayesian updating of priors on healthy adult and obese patient populations for use with AdDS. Twenty‐four healthy veterans were utilized to train (14/24) and test (10/24) the base pharmacokinetic model of vancomycin while comparing the effects of updated and fully re‐estimated priors. This process was repeated with a total of 18 obese veterans for both training (11/18) and testing (7/18). Comparison of MAP objective function between the original and re‐estimated models for healthy adults indicated that 78.6% of the subjects in the training and 70.0% of the subjects in the testing datasets had similar or improved predictions by the re‐estimated model. For obese veterans, 81.8% of subjects in the training dataset and 85.7% of subjects in the testing dataset had similar or improved predictions. Re‐estimation of model parameters provided more significant improvements in objective function compared with Bayesian updating, which may be a useful strategy in cases where sufficient samples and subjects are available. The generation of bespoke regimens based on patient‐specific clearance and minimal sampling may improve patient care by addressing fundamental pharmacokinetic differences in healthy and obese veteran populations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02770008
Volume :
41
Issue :
11
Database :
Complementary Index
Journal :
Pharmacotherapy
Publication Type :
Academic Journal
Accession number :
153677341
Full Text :
https://doi.org/10.1002/phar.2631