Abstract

Objective: Area under the curve (AUC)-based vancomycin dose adjustment is recommended to treat methicillin-resistant Staphylococcus aureus (MRSA) infections. AUC estimation methods include Bayesian software programs and simple analytical equations. This study compared the AUC obtained using the Bayesian approach with that obtained using an equation-based approach.
Materials and methods: Patients receiving intravenous vancomycin for MRSA infection were included. Peak and trough levels were measured for each patient on days 3, 7, and 10 post vancomycin dosing (day 1). AUC was calculated using software based on the Bayesian method (MwPharm Online) and an equation-based calculator, Stanford Health Care (SHC) calculator.
Results: The AUC estimated using MwPharm Online was similar to that estimated using the SHC calculator. The geometric mean ratio (GMR) and their 90% confidence intervals (90% CI) were 1.08 (1.05 – 1.11), 1.03 (0.99 – 1.07), and 0.99 (0.94 – 1.05) at days 3, 7, and 10, respectively. Furthermore, according to the software used, there were no significant differences in the proportions of patients in the categories “within” and “below or above” the AUC target range. Additionally, trough levels predicted by both software programs were lower than the observed ones. Still, there was no significant difference between the predicted and observed peak levels for both software programs on day 10.
Conclusion: AUC calculated using the Bayesian software allows for calculation with samples at a non-steady state, can integrate covariates, and is interconvertible with that estimated using an equation-based calculator, which is simpler and relies on fewer assumptions. Therefore, either method can be used, considering each method’s strengths and limitations.

Author Details

Authors

• Eojin Lee¹
• Uijeong Yu²
• Ji In Park³
• Sang-In Park^{2, 4}

Departments

• ¹ Department of Applied Animal Science, College of Animal Life Sciences,
• ² Department of Pharmacology, College of Medicine, Kangwon National University,
• ³ Department of Internal Medicine, Kangwon National University College of Medicine and Kangwon National University Hospital, and
• ⁴ Biomedical Research Institute, Kangwon National University Hospital, Chuncheon, Republic of Korea

Address

Sang-In Park, MD, PhD
Department of Pharmacology, College of Medicine
Kangwon National University
1 Gangwondaehak-gil, Chuncheon-si,
Gangwon-do 24341, Republic of Korea
Email: [email protected]

Citation