Bayesian Vancomycin Model Selection for Therapeutic Drug Monitoring in Neonates.

ABSTRACT:

Background and objective

Pharmacokinetic models can inform drug dosing of vancomycin in neonates to optimize therapy. However, the model selected needs to describe the intended population to provide appropriate dose recommendations. Our study aims to identify the population pharmacokinetic (PopPK) model(s) with the best performance to predict vancomycin exposure in neonates in our hospital.

Methods

Relevant published PopPK models for vancomycin in neonates were selected based on demographics and vancomycin dosing strategy. The predictive performance of the models was evaluated in Tucuxi using a local cohort of 69 neonates. Mean absolute error (MAE), relative bias (rBias) and relative root mean square error (rRMSE) were used to quantify the accuracy and precision of the predi

SUBMITTER: Alrahahleh D 

PROVIDER: S-EPMC10954945 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature