Performance of Area under the Concentration-Time Curve Estimations of Vancomycin with Limited Sampling by a Newly Developed Web Application

PHARMACEUTICAL RESEARCH(2021)

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摘要
Purpose Therapeutic drug monitoring guided by the area under the concentration-time curve (AUC-guided TDM) is recommended for vancomycin. However, validated efficient software remains elusive to popularize AUC-guided TDM in Japan. The aim of this study was to validate a newly developed web application, PAT, for AUC estimation. Methods PAT was developed on the R ver. 3.6.2 platform for use with mobile phones and personal computers. AUC estimated by PAT (AUC PAT ) was evaluated against the reference AUC (AUC REF ) calculated with the log-linear trapezoidal rule using eight measured concentrations, or against AUC (AUC BM-P ) calculated using an evaluated available software with clinical data. Results Investigating the best sampling points with limited sampling, PAT produced the least bias using two concentrations at 1 h and 11 h after the end of infusion (slope 1.18, intercept −15.57, median AUC PAT /AUC REF 0.93 [range 0.81–1.24]), where only one estimation (6%) was out of the predetermined acceptable range of 0.8–1.2. Employment of only a trough concentration was more biased (AUC PAT /AUC REF range 0.73–1.30 for 11 h, AUC PAT /AUC REF range 0.62–1.40 for 23 h). In comparison with the evaluated software, AUC PAT was not biased against the AUC BM-P (slope 1.04, intercept −15.80, median AUC PAT /AUC BM-P 1.00 [range 0.86–1.10]). Conclusions The new application using two concentrations was appropriately validated and might be efficient in popularizing the AUC-guided TDM of vancomycin.
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关键词
area under the concentration-time curve,bayesian,software,therapeutic drug monitoring,vancomycin
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