REVIEW article
Front. Cardiovasc. Med.
Sec. Coronary Artery Disease
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1552762
This article is part of the Research TopicCoronary Microcirculation: Diagnosis Treatment and Basic ResearchView all articles
Development and validation of an AMR-based predictive model for post-PCI contrast-induced nephropathy in patients with acute ST-segment elevation myocardial infarction
Provisionally accepted
Zhaokai Wang
Shuping Yang
Cheng Li
Chunxue Zhou
Chaofan Wang
Tangxing Jiang
Chengcheng Chen
Mengxin Shao
Tongda Xu*- The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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AbstractBackground: This study aimed to develop and validate an angiography-derived microcirculatory resistance index (AMR)- based nomogram to predict the probability of contrast-induced nephropathy (CIN) following percutaneous coronary intervention (PCI) in patients with acute ST-segment elevation myocardial infarction (STEMI).Method：In this study, 595 STEMI patients from the Affiliated Hospital of Xuzhou Medical University from January 1, 2022 to December 31, 2023 were included as the training cohort, and 256 patients from the East Hospital of Xuzhou Medical University were included as the validation cohort. Independent risk factors for the development of nomogram were identified using univariate logistic regression, randomized forest regression, multifactorial logistic regression, and LASSO regression analyses. The study evaluated performance by creating calibration curves, analyzing the area under the curve (AUC-ROC) of subjects' work characteristics, examining calibration plots, and conducting decision curve analysis (DCA).Result: Multifactorial logistic regression analysis identified five independent predictors, including eGFR (OR:0.975; 95% CI: 0.970-0.983; P<0.001), AMR (OR: 2.505; 95% CI: 1.756-3.656; P<0.001), Serum blood uric acid to high-density lipoprotein cholesterol ratio (UHR) (OR: 1.006; 95% CI: 1.003-1.007; P<0.001), The triglyceride and glucose index (TyG) (OR: 1.829; 95% CI: 1.346-2.502; P<0.001), Contrast agent dosage (OR: 1.022; 95% CI: 1.016-1.028; P<0.001), The nomogram accurately predicted the probability of CIN after PCI. Both the training cohort (AUC: 0.881) and validation cohort (AUC: 0.841) demonstrated good predictive ability of the model. Calibration plots confirmed the agreement between the predictions of the training and validation cohorts. DCA analysis also demonstrated the feasibility of the nomogram in clinical patient management.Conclusion: The nomogram showed good performance in predicting CIN, and it could help clinicians optimize the clinical treatments to improve the prognosis of STEMI patients.
Keywords: nomogram, Percutaneous Coronary Intervention, Contrast-induced nephropathy, Acute ST-segment elevation myocardial infarction, angiography-derived microcirculatory resistance index, Prediction model
Received: 29 Dec 2024; Accepted: 10 Jun 2025.
Copyright: © 2025 Wang, Yang, Li, Zhou, Wang, Jiang, Chen, Shao and Xu. 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: Tongda Xu, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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