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Published on: September 9, 2015
Comparison of Bayesian and First-Order Estimations of Vancomycin Area Under the Curve in Pediatrics Using One- and
Katie B Olney1,2, Joo Eun Jun3, David S Burgess2
1Department of Pharmacy Services, University of Kentucky HealthCare, Lexington, Kentucky, USA.
Background:
Current consensus guidelines recommend therapeutic drug monitoring of vancomycin to target a 24-h area under the curve (AUC24) of 400-600 mg*hr/L. Recommended methods for estimation of AUC24 include the use of first-order (linear) pharmacokinetic equations or Bayesian software. Limited data exist to compare these methods in pediatric patients. This study aimed to compare calculated AUC24 using first-order equations with two drug concentrations at steady state to Bayesian one- and two-concentration estimations.
Methods:
This was a single center retrospective review of hospitalized pediatric patients receiving intravenous vancomycin. Patients with two concentrations collected at steady-state within 96 h of vancomycin initiation were screened. Pharmacokinetic parameters and AUC24 were estimated using first-order equations and InsightRx Bayesian software. Pearson's correlation and clinical agreement were used to compare methods. Bland-Altman plots were used to assess mean difference (MD) and 95% limits of agreement (LOA) to assess variability.
Results:
Overall, 196 patients (22 neonates, 17 infants, 114 children, and 43 adolescents) were included in the final analysis. Reasonable agreement was observed between linear and Bayesian two-concentration methods (84.2%; R2 = 0.723) and between Bayesian two- and one-concentration methods (82.7%, R2 = 0.839). Some variability was noted with 95% LOA of -123 to 178 (MD = 27 mg*hr/L) and -88 to 110 (MD = 11 mg*hr/L), for the respective comparisons. Lower agreement was noted between linear and Bayesian one-concentration methods (73.9%, R2 = 0.544), and the greatest amount of variability was demonstrated with 95% LOA of -179 to 211 (MD = 16 mg*hr/L). In subgroup analysis, neonates demonstrated significantly lower clinical agreement (54.5%) and correlation (R2 = 0.2986) between linear and Bayesian one-concentration methods.
Conclusions:
Linear and Bayesian two-concentration methods demonstrated reasonable agreement with acceptable variability and may be considered comparable for estimating vancomycin AUC24 in pediatric patients. Similarly, Bayesian two-concentration and one-concentration methods demonstrated reasonable agreement with acceptable variability, supporting the comparability of these methods to estimate AUC24. As poor agreement was demonstrated between linear and Bayesian one-concentration methods in neonatal sub-analysis, additional investigation is warranted to determine the comparability of these methods in neonates.
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