AUC-Guided Vancomycin TDM With Bayesian Forecasting Recommended for All Paediatric Populations
This review synthesises the literature on vancomycin dosing optimisation in children, advocating a shift from trough-only monitoring to AUC-guided therapeutic drug monitoring targeting AUC0-24h/MIC of 400-600. Bayesian forecasting enables accurate individual exposure estimation from population PK models, minimising acute kidney injury risk while maximising efficacy. The approach is recommended across all paediatric age groups including neonates, critically ill children, and those receiving extracorporeal therapies.
The original study
Dose optimization and target attainment of vancomycin in children.
- Authors
- Cafaro A, Stella M, Mesini A, Castagnola E, Cangemi G, Mattioli F, et al.
- Journal
- Clinical biochemistry
- Type
- Journal Article, Review
- PMID
- 38325652
Original abstract
Vancomycin is a glycopeptide antibiotic that has been adopted in clinical practice to treat gram-positive infections for more than 70 years. Despite vancomycin's long history of therapeutic use, optimal dose adjustments and pharmacokinetic/pharmacodynamic (PK/PD) target attainment in children are still under debate. Therapeutic drug monitoring (TDM) has been widely integrated into pediatric clinical practice to maximize efficacy and safety of vancomycin treatment. Area under the curve (AUC)-guided TDM has been recently recommended instead of trough-only TDM to ensure PK/PD target attainment of AUC0-24h/minimal inhibitory concentration (MIC) > 400 to 600 and minimize acute kidney injury risk. Bayesian forecasting in pediatric patients allows estimation of population PK to accurately predict individual vancomycin concentrations over time, and consequently total vancomycin exposure. AUC-guided TDM for vancomycin, preferably with Bayesian forecasting, is therefore suggested for all pediatric age groups and special pediatric populations. In this review we aim to analyze the current literature on the pediatric use of vancomycin and summarize the current knowledge on dosing optimization for target attainment in special patient populations.