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Evaluation of Vancomycin Therapeutic Drug Monitoring Strategies: Pharmacokinetic, Pharmacogenetic, and Clinical Perspectives in a Prospective, Real-World Cohort Study

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Volume Title

dc.identifier.issn

0031-6970
1432-1041

dc.identifier.doi

10.1007/s00228-026-04103-w

dc.identifier.other

dc.description.volume

82

dc.description.issue

7

Publisher

SPRINGER HEIDELBERG

DOI

10.1007/s00228-026-04103-w
10.1007/s00228-026-04103-w

Abstract

Purpose Vancomycin therapeutic drug monitoring is essential for optimizing efficacy and reducing the risk of vancomycin-associated acute kidney injury (VA-AKI). Although recent guidelines recommend the ratio of area under the curve over 24 h to minimum inhibitory concentration (AUC(24)/MIC)-based monitoring over trough concentration-based monitoring, differences between AUC(24)/MIC estimation methods (e.g., pharmacokinetic equations and Bayesian approaches) may influence therapeutic classification in clinical practice. In addition, pharmacogenetic factors contributing to interindividual variability in vancomycin exposure remain incompletely characterized. Methods This prospective, single-center cohort study included adult patients who received intravenous vancomycin for at least 72 h between June 2024 and April 2025. Vancomycin trough and peak plasma concentrations were measured using an enzyme-linked immunosorbent assay. AUC(24)/MIC values were calculated using pharmacokinetic equation and Bayesian method. Agreement in therapeutic classification between trough concentration-based and AUC(24)/MIC-based monitoring was assessed. Associations between the rs2789047 genetic variant and relevant parameters were also evaluated. Results Thirty-six patients were included, of whom 38.9% developed VA-AKI. Despite strong correlations between trough concentration and AUC(24)/MIC values (r = 0.84-0.87), substantial discordance in therapeutic classification was observed, with agreement rates of 63.9% for pharmacokinetic equation-based and 66.7% for Bayesian-based compared with trough concentration-based monitoring. In contrast, pharmacokinetic equation-based and Bayesian-based methods demonstrated strong concordance (86.1%). Higher trough concentrations and AUC(24)/MIC values were significantly associated with VA-AKI (p < 0.001). Carriers of rs2789047 A-allele exhibited higher trough concentrations and reduced elimination rates. Conclusion Trough concentration-based monitoring frequently misclassified vancomycin exposure compared with AUC(24)/MIC-based approaches. Pharmacogenetic variability may further influence vancomycin exposure.

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