Biological and Pharmaceutical Bulletin
Online ISSN : 1347-5215
Print ISSN : 0918-6158
ISSN-L : 0918-6158
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Prediction Accuracy of Area under the Concentration–Time Curve of Vancomycin by Bayesian Approach Using Creatinine-Based Equations of Estimated Kidney Function in Bedridden Elderly Japanese Patients
Akihiro Sonoda Yoshitaka IwashitaYukina TakadaRyu HamazonoKazuhisa IshidaHiroshi Imamura
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2022 Volume 45 Issue 6 Pages 763-769

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Abstract

An administration plan for vancomycin (VCM) in bedridden elderly patients has not been established. This retrospective study aimed to evaluate the prediction accuracy of the area under the concentration–time curve (AUC) of VCM by the Bayesian approach using creatinine-based equations of estimated kidney function in such patients. Kidney function was estimated using the Japanese equation of estimated glomerular filtration rate (eGFR) and the Cockcroft–Gault equation of estimated creatinine clearance (eCCr). eCCr (serum creatinine (SCr) + 0.2) was calculated by substituting the SCr level +0.2 mg/dL into the Cockcroft–Gault equation. For eGFR/0.789, eGFR, eCCr, and eCCr (SCr + 0.2), the AUC values were calculated by the Bayesian approach using the therapeutic drug monitoring (TDM) software, BMs-Pod (ver 8.06) and denoted as AUCeGFR/0.789, AUCeGFR, AUCeCCr, and AUCeCCr (SCr + 0.2) respectively. The reference AUC (AUCREF) was calculated by applying VCM’s peak and trough steady-state concentrations to first-order pharmacokinetic equations. The medians (range) of AUCeGFR/0.789/AUCREF, AUCeGFR/AUCREF, AUCeCCr/AUCREF, and AUCeCCr (SCr + 0.2)/AUCREF were 0.88 (0.74–0.93), 0.90 (0.79–1.04), 0.92 (0.81–1.07), and 1.00 (0.88–1.11), respectively. Moreover, the percentage of patients within 10% of the AUCREF, defined as |Bayesian-estimated AUC − AUCREF| < AUCREF × 0.1, was the highest (86%) in AUCeCCr (SCr + 0.2). These results suggest that the Bayesian approach using eCCr (SCr + 0.2) has the highest prediction accuracy for the AUCREF in bedridden elderly patients. Although further studies are required with more accurate determination methods of the CCr and AUC, our findings highlight the potential of eCCr (SCr + 0.2) for estimating VCM’s AUC by the Bayesian approach in such patients.

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