Development and Evaluation of Multimodel Informed Precision Dosing Tool for Optimizing Vancomycin Therapy in...

Area of Science:

• Pharmacology
• Clinical Pharmacy
• Computational Biology

Background:

• Vancomycin dosing in pediatric patients is challenging due to narrow therapeutic windows and high pharmacokinetic variability.
• Suboptimal vancomycin trough concentrations necessitate dose adjustments, impacting treatment efficacy and safety.
• Developing precise dosing strategies is crucial for optimizing vancomycin therapy in children.

Purpose of the Study:

• To identify and evaluate predictive pediatric vancomycin pharmacokinetic (PK) models.
• To develop and validate an RShiny-based multimodel informed precision-dosing (multi-MIPD) tool for vancomycin.
• To compare the performance of the multi-MIPD tool against empirical dosing strategies.

Main Methods:

• Systematic literature search for pediatric vancomycin PK models, followed by quality assessment.
• Retrospective analysis of therapeutic drug monitoring data to evaluate model performance.
• Development and validation of an RShiny-based multi-MIPD tool using retrospective and prospective datasets.

Main Results:

• Nine vancomycin PK models showed excellent predictive performance in retrospective data.
• The developed multi-MIPD tool demonstrated high accuracy in predicting vancomycin concentrations in a prospective dataset.
• The mean consensus model significantly improved target area under the curve attainment compared to empirical dosing.

Conclusions:

• The RShiny-based multi-MIPD tool offers accurate vancomycin concentration predictions for pediatric patients.
• This precision-dosing approach significantly enhances vancomycin target attainment versus empirical dosing.
• The multi-MIPD tool represents a more effective and individualized vancomycin dosing strategy for children.