Comparison of Vancomycin AUC24 Calculation Methods for Neonates and Infants.

Area of Science:

• Pharmacokinetics
• Pediatric Pharmacology
• Drug Monitoring

Background:

• Intermittent vancomycin infusions are common for neonates and infants.
• Area under the concentration-time curve during 24 hours (AUC24) is crucial for vancomycin dosing.
• Bayesian forecasting is often used to estimate AUC24, but simpler methods are needed.

Purpose of the Study:

• Compare AUC24 estimates from the Sawchuk-Zaske method and two Bayesian models.
• Evaluate the utility of the Sawchuk-Zaske method in pediatric populations.
• Assess the impact of modified residual error models in Bayesian forecasting.

Main Methods:

• Retrospective analysis of AUC24 values in 18 neonates and infants.
• Comparison of Sawchuk-Zaske method, traditional compartmental analysis (reference), and two Bayesian models.
• Application of original and modified residual error models for Bayesian forecasting.

Main Results:

• Sawchuk-Zaske method showed minimal difference (-2.7% to 0.9%) compared to the reference method.
• Bayesian forecasting with original models achieved <15% difference in 33-61% of cases.
• Modified Bayesian models improved accuracy, with 72-83% of estimates within <15% of the reference.

Conclusions:

• The Sawchuk-Zaske method is a practical and accurate tool for vancomycin AUC24 estimation in neonates and infants.
• Bayesian forecasting models demonstrate improved accuracy with reduced residual error.
• Both methods offer valuable approaches for optimizing vancomycin therapy in pediatric patients.