HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Faculty of Pharmaceutical Sciences >
Peer-reviewed Journal Articles, etc >

A Risk Prediction Flowchart of Vancomycin-Induced Acute Kidney Injury to Use When Starting Vancomycin Administration : A Multicenter Retrospective Study

This item is licensed under: Creative Commons Attribution 4.0 International

Files in This Item:

The file(s) associated with this item can be obtained from the following URL:https://doi.org/10.3390/antibiotics9120920


Title: A Risk Prediction Flowchart of Vancomycin-Induced Acute Kidney Injury to Use When Starting Vancomycin Administration : A Multicenter Retrospective Study
Authors: Miyai, Takayuki Browse this author
Imai, Shungo Browse this author →KAKEN DB
Kashiwagi, Hitoshi Browse this author →KAKEN DB
Sato, Yuki Browse this author →KAKEN DB
Kadomura, Shota Browse this author
Yoshida, Kenji Browse this author
Yoshimura, Eri Browse this author
Teraya, Toshiaki Browse this author
Tsujimoto, Takashi Browse this author
Kawamoto, Yukari Browse this author
Itoh, Tatsuya Browse this author
Ueno, Hidefumi Browse this author
Goto, Yoshikazu Browse this author
Takekuma, Yoh Browse this author →KAKEN DB
Sugawara, Mitsuru Browse this author →KAKEN DB
Keywords: vancomycin
therapeutic drug monitoring
decision tree analysis
acute kidney injury
Issue Date: 18-Dec-2020
Publisher: MDPI
Journal Title: Antibiotics
Volume: 9
Issue: 12
Start Page: 920
Publisher DOI: 10.3390/antibiotics9120920
Abstract: We previously constructed a risk prediction model of vancomycin (VCM)-associated nephrotoxicity for use when performing initial therapeutic drug monitoring (TDM), using decision tree analysis. However, we could not build a model to be used at the time of initial administration due to insufficient sample size. Therefore, we performed a multicenter study at four hospitals in Japan. We investigated patients who received VCM intravenously at a standard dose from the first day until the initial TDM from November 2011 to March 2019. Acute kidney injury (AKI) was defined according to the criteria established by the "Kidney disease: Improving global outcomes" group. We extracted potential risk factors that could be evaluated on the day of initial administration and constructed a flowchart using a chi-squared automatic interaction detection algorithm. Among 843 patients, 115 (13.6%) developed AKI. The flowchart comprised three splitting variables (concomitant drugs (vasopressor drugs and tazobactam/piperacillin) and body mass index >= 30) and four subgroups. The incidence rates of AKI ranged from 9.34 to 36.8%, and they were classified as low-, intermediate-, and high-risk groups. The accuracy of flowchart was judged appropriate (86.4%). We successfully constructed a simple flowchart predicting VCM-induced AKI to be used when starting VCM administration.
Rights: https://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/80398
Appears in Collections:薬学研究院 (Faculty of Pharmaceutical Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University