A Risk Prediction Flowchart of Vancomycin-Induced Acute Kidney Injury to Use When Starting Vancomycin Administration: A Multicenter Retrospective Study.
Takayuki MiyaiShungo ImaiHitoshi KashiwagiYuki SatoShota KadomuraKenji YoshidaEri YoshimuraToshiaki TerayaTakashi TsujimotoYukari KawamotoTatsuya ItohHidefumi UenoYoshikazu GotoYoh TakekumaMitsuru SugawaraPublished in: Antibiotics (Basel, Switzerland) (2020)
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.
Keyphrases
- acute kidney injury
- cardiac surgery
- risk factors
- wastewater treatment
- drug induced
- methicillin resistant staphylococcus aureus
- high glucose
- diabetic rats
- machine learning
- deep learning
- clinical trial
- endothelial cells
- adipose tissue
- climate change
- label free
- skeletal muscle
- real time pcr
- loop mediated isothermal amplification
- metabolic syndrome
- gram negative