Introduction: Vancomycin is commonly administered to neonates, while observational data on therapeutic drug monitoring (TDM, trough levels) suggest that vancomycin exposure and dosage remain substandard.Area covered: Data on vancomycin pharmacokinetics (PK) and its covariates are abundant. Consequently, modelling is an obvious tool to improve targeted exposure, with a shift from TDM trough levels to area under the curve (AUC 24h ) targets, as in adults. Continuous administration appeared as practice to facilitate AUC 24h target attainment, while Bayesian model-supported targeting emerged as novel tool.However, the AUC 24h /MIC (minimal inhibitory concentration) target itself should consider neonate specific aspects (bloodstream infections, coagulase-negative staphylococci, protein binding, underexplored causes of variability, like assays, preparation and administration inaccuracies, or missing covariates).
Expert opinion:To improve targeted exposure in neonates, initial vancomycin prescription should be based on 'a priori model based individual dosing' using validated dosing regimens, followed by further tailoring by dosing optimization applying Bayesian estimation-assisted TDM. Future research should focus on feasibility to integrate these tools (individualized dosing, Bayesian models) in clinical practice, and to perform PK/PD studies in the relevant animal models and human neonatal setting (coagulase-negative staphylococci, blood stream infections).