ORIGINAL RESEARCH article
Front. Med.
Sec. Nephrology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1608293
This article is part of the Research TopicModifiable Risk Factors for Chronic Kidney Disease ProgressionView all 16 articles
A Nomogram for Predicting Individual Risk of Acute Kidney Injury after Endovascular Therapy in Large Vessel Occlusion Stroke
Provisionally accepted
Jingling Zhu
Xiaohua He
Wenfei Liang
Huishan Zhu
Jiasheng Zhao
Yu Ding
Xiuling Yang
Zhan Zhao
Jingyi Chen Jingyi Chen
Weimin Ning
Qiuxing He*- Department of Neurology, Dongguan Hospital of Guangzhou University of Chinese Medicine, Dongguan, China
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Objective: This study was conducted to develop and validate a nomogram model for the early prediction of acute kidney injury (AKI) in patients with acute ischemic stroke with large vessel occlusion (AIS-LVO) following endovascular therapy (EVT). Methods: This retrospective study enrolled 450 patients with AIS-LVO admitted to the Dongguan Hospital of Guangzhou University of Chinese Medicine for EVT between July 2018 and September 2024. After applying exclusion criteria, 346 patients meeting the research criteria were included. These patients were randomly divided into a training cohort (N=243) and a validation cohort (N=103) at a 7:3 ratio for model development and validation. Least absolute shrinkage and selection operator (LASSO) regression and multinomial logistic regression analysis were employed for feature selection and identification of key predictors for the nomogram. The performance and clinical utility of the nomogram were assessed using the receiver operating characteristic (ROC) curve, calibration curve, clinical impact curve (CIC), and decision curve analysis (DCA) curve. Results: Hypertension, smoking, admission blood glucose, proteinuria, serum creatinine, and duration of mechanical ventilation were identified as independent risk factors for AKI in patients with AIS-LVO after EVT. The nomogram demonstrated excellent predictive performance, with an area under curve (AUC) of 0.890 [95% CI (0.846 - 0.935)]. These results indicate that the model offers a favorable net clinical benefit. Conclusion: The nomogram developed in this study demonstrates significant clinical utility in identifying patients with AIS-LVO at high risk of developing AKI after EVT.
Keywords: Nomogram1, Clinical Diagnosis Prediction Mode2, acute kidney injury3, AcuteIschemic Stroke with Large Vessel Occlusion4, Endovascular Therapy5
Received: 08 Apr 2025; Accepted: 15 Sep 2025.
Copyright: © 2025 Zhu, He, Liang, Zhu, Zhao, Ding, Yang, Zhao, Jingyi Chen, Ning and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Qiuxing He, heqiuxing93@126.com
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