A simulation study to assess the influence of population pharmacokinetic model selection on Bayesian forecasting of vancomycin exposure in preterm neonates. | Synapse
March 1, 2026
A simulation study to assess the influence of population pharmacokinetic model selection on Bayesian forecasting of vancomycin exposure in preterm neonates.
Key Points
This study explores how selecting different pharmacokinetic models affects the forecasting of vancomycin exposure in preterm neonates.
Conducted simulation study to assess different population pharmacokinetic models.
Evaluated the impact on vancomycin AUC24 values and probability of target attainment (PTA).
Analyzed correlations between model characteristics and dosing outcomes.
Different models led to variations in AUC24 values for vancomycin.
Observed significant differences in PTA across models.
Findings suggest certain model characteristics enhance target attainment.
Abstract
Model selection affects simulated vancomycin AUC24 values and PTA in neonates, influencing dosing decisions. These findings highlight model characteristics correlating with target attainment.