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新型软件程序 SAKURA-TDM 用于基于浓度-时间曲线下面积指导万古霉素给药的开发和评估:一项简短交流。

Development and Evaluation of a Novel Software Program, SAKURA-TDM, for Area Under the Concentration-Time Curve-Guided Vancomycin Dosing: A Short Communication.

机构信息

Department of Hospital Pharmacy, Graduate School of Pharmaceutical Sciences, Nagoya City University.

Department of Pharmacy, Nagoya City University Hospital.

出版信息

Ther Drug Monit. 2023 Apr 1;45(2):245-250. doi: 10.1097/FTD.0000000000001026.

Abstract

BACKGROUND

The area under the concentration-time curve (AUC)-guided dosing of vancomycin has been introduced in Japan; however, the optimal dosing method remains controversial. Here, a novel software program was developed for AUC-guided vancomycin dosing and to estimate the theoretical threshold of the steady-state AUC 24 that could reduce the risk of renal injury.

METHODS

A single-center, retrospective, observational study was conducted to develop a novel software program (SAKURA-TDM ver.1.0) for AUC-guided dosing. The estimation accuracy of pharmacokinetic parameters determined using SAKURA-TDM was compared with that of clinically available software programs and assessed with Bland-Altman analysis. In addition, theoretical cutoff points of the steady-state AUC 24 and the predicted trough values were estimated using Youden J statistic approach.

RESULTS

The estimation accuracy of pharmacokinetic parameters and AUC determined using SAKURA-TDM was comparable to that of other TDM software programs. Of note, despite a good relationship between the predicted AUC 24 and trough values, the correlation between the predicted AUC 24 and measured trough values was not strong. The cutoff values of the steady-state AUC 24 and the predicted trough value for reducing the probability of a measured trough value of >20 mcg/mL were 513.1 mg·h/L and 15.6 mcg/mL, respectively.

CONCLUSIONS

We demonstrated the equivalence of the estimated PK parameters between SAKURA-TDM and other TDM software programs available in Japan. Considering the threshold of both trough values and the steady-state AUC and monitoring of the AUC in a non-steady state, it would be possible to reduce the risk of vancomycin-associated renal injury.

摘要

背景

在日本,已经引入了万古霉素基于浓度-时间曲线下面积(AUC)指导的给药方法;然而,最佳的给药方法仍存在争议。在这里,开发了一种新的软件程序,用于 AUC 指导的万古霉素给药,并估计稳态 AUC 24 的理论阈值,以降低肾损伤的风险。

方法

进行了一项单中心、回顾性、观察性研究,以开发一种新的软件程序(SAKURA-TDM ver.1.0)用于 AUC 指导的给药。使用 SAKURA-TDM 确定的药代动力学参数的估计准确性与临床可用的软件程序进行了比较,并通过 Bland-Altman 分析进行了评估。此外,使用 Youden J 统计方法估计了稳态 AUC 24 和预测谷值的理论截止值。

结果

SAKURA-TDM 确定的药代动力学参数和 AUC 的估计准确性与其他 TDM 软件程序相当。值得注意的是,尽管预测的 AUC 24 和谷值之间存在良好的关系,但预测的 AUC 24 和测量的谷值之间的相关性并不强。降低测量的谷值>20 mcg/mL 的概率的稳态 AUC 24 和预测谷值的截止值分别为 513.1 mg·h/L 和 15.6 mcg/mL。

结论

我们证明了 SAKURA-TDM 与日本其他 TDM 软件程序之间估计的 PK 参数的等效性。考虑到谷值和稳态 AUC 的阈值以及 AUC 在非稳态下的监测,有可能降低万古霉素相关肾损伤的风险。

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