Development and Evaluation of a Novel Software Program, SAKURA-TDM, for Area Under the Concentration-Time Curve–Guided Vancomycin Dosing: A Short Communication. Issue 2 (April 2023)

• Record Type: Journal Article
• Authors: Horita, Yasuhiro; Asaoka, Minami; Iida, Moeko; Kato, Hideki; Wachino, Chiharu; Mitamura, Kana; Ohashi, Kazuki; Mimura, Yoshihisa; Hotta, Yuji; Kataoka, Tomoya; Nakamura, Atsushi; Kimura, Kazunori
• Is Part Of: Therapeutic drug monitoring. Volume 45:Issue 2(2023)
• Page Start: 245
• Page End: 250
• Publication Date: 2023-04
• Subjects: software for TDM -- vancomycin -- AUC; Pharmacokinetics -- Periodicals; Patient monitoring -- Periodicals; Drugs -- Analysis -- Periodicals; Body fluids -- Analysis -- Periodicals; Drug Therapy -- Periodicals; Monitoring, Physiologic -- Periodicals; Pharmacology -- Periodicals; 615.7
• DOI: 10.1097/FTD.0000000000001026
• Languages: English
• ISSNs: 0163-4356

Abstract

Abstract : Supplemental Digital Content is Available in the Text. 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 AUC24 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 AUC24 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 AUC24 and trough values, the correlation between the predicted AUC24 and measured trough values was not strong. The cutoff values of the steady-state AUC24 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.