External validation of population pharmacokinetic models of vancomycin in adult patients at 108 Military Central Hospital
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Abstract
Objective: The study was conducted to determine the best predictive population pharmacokinetic (popPK) model for vancomycin in patients at the 108 Military Central Hospital. Subject and method: External validation was used to evaluate the predictive ability of published popPK models of vancomycin in the literature based on dataset of vancomycin blood concentrations from 98 adult patients at the hospital from December 2020 to August 2022. Result: 28 popPK vancomycin models from 270 studies in the literature were selected for validation of their suitability. The Yamamoto-2 (2009) model demonstrated the best predictive performance for actual vancomycin concentrations, with a mean prediction error (MPE) and mean absolute prediction error (MAPE) of 0.08mg/L and 18.9%, respectively (indicating good predictive performance). The goodness of fit (GOF) plot and visual predictive check (VPC) plot of this model also demonstrated a good fit between predicted concentrations and observed data. Conclusion: The Yamamoto-2 (2009) model was identified as the most accurate for predicting vancomycin concentrations in patients at 108 Military Central Hospital. The study results provide a foundation for the development of precision dosing tools based on the appropriate model, aimed at improving the effectiveness of therapeutic drug monitoring services at the hospital in the future.
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