Updating Predictive Model for Cisplatin-Induced Acute Kidney Injury: Incorporating Concomitant Medications and the Standard Supportive Care.

ABSTRACT:

Background and objective

Cisplatin-induced acute kidney injury (C-AKI) is detrimental to adequate cancer treatment. While scoring systems to predict C-AKI are available, they do not account for the impact of concomitant medications. This study aimed to enhance the predictive model by incorporating concomitant medications as a new predictor.

Methods

We included data from 1785 patients who received cisplatin at Iwate Medical University Hospital between April 2014 and March 2023. Initially, we assessed the performance of the existing model in our cohort. We then explored additional predictors to improve their discriminatory ability guided by the Akaike information criterion. Candidates for new predictors were concomitant anticancer and supportive care medications that were prev

SUBMITTER: Saito K 

PROVIDER: S-EPMC12539992 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature