Comparison of Bayesian and First-Order Estimations of Vancomycin Area Under the Curve in Pediatrics Using One- and...

Area of Science:

• Pharmacology
• Pediatric Medicine
• Clinical Pharmacokinetics

Background:

• Current guidelines recommend therapeutic drug monitoring of vancomycin to achieve a 24-hour area under the curve (AUC24) of 400-600 mg*hr/L.
• Estimation methods include first-order pharmacokinetic equations and Bayesian software, with limited comparative data in pediatric populations.

Purpose of the Study:

• To compare calculated vancomycin AUC24 using first-order equations with Bayesian one- and two-concentration estimations in pediatric patients.
• To assess the agreement and variability between different vancomycin AUC24 estimation methods.

Main Methods:

• Retrospective review of hospitalized pediatric patients receiving intravenous vancomycin.
• Pharmacokinetic parameters and AUC24 were estimated using first-order equations and InsightRx Bayesian software.
• Pearson's correlation, clinical agreement, and Bland-Altman plots were used for comparison.

Main Results:

• Reasonable agreement was observed between linear and Bayesian two-concentration methods (84.2%) and Bayesian two- and one-concentration methods (82.7%).
• Lower agreement (73.9%) and higher variability were noted between linear and Bayesian one-concentration methods.
• Neonates showed significantly lower agreement (54.5%) between linear and Bayesian one-concentration methods.

Conclusions:

• Linear and Bayesian two-concentration methods are comparable for estimating vancomycin AUC24 in pediatric patients.
• Bayesian one- and two-concentration methods also demonstrate reasonable agreement and comparability.
• Further investigation is needed for the linear versus one-concentration Bayesian method comparison in neonates due to poor agreement.