Open-source maximum a posteriori-bayesian dosing AdDS to current therapeutic drug monitoring: Adapting to the era of individualized therapy.
Nicholas M SmithArthur ChanLaura A WilkinsonHubert C ChuaThomas D NguyenHarriet de SouzaAnant P ShahDavid Z D'ArgenioKari A MergenhagenPublished in: Pharmacotherapy (2021)
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.
Keyphrases
- weight loss
- adipose tissue
- metabolic syndrome
- methicillin resistant staphylococcus aureus
- type diabetes
- obese patients
- bariatric surgery
- end stage renal disease
- healthcare
- newly diagnosed
- ejection fraction
- working memory
- virtual reality
- high density
- case report
- peritoneal dialysis
- chronic kidney disease
- stem cells
- quality improvement
- young adults
- prognostic factors
- staphylococcus aureus
- mesenchymal stem cells
- big data
- drug induced
- acute care