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ORIGINAL RESEARCH article

Front. Endocrinol.
Sec. Cardiovascular Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1447053
This article is part of the Research Topic Screening Remnant Lipid Markers in Cardiometabolic Diseases View all 5 articles

Association between triglyceride-glucose index and all-cause mortality in critically ill patients with acute myocardial infarction: analysis of the MIMIC-IV database

Provisionally accepted
Xin Su Xin Su 1Yujing Zhou Yujing Zhou 1Jie Chang Jie Chang 2Xin Zhao Xin Zhao 3Haiyu Li Haiyu Li 1Haiqiang Sang Haiqiang Sang 1*
  • 1 Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
  • 2 Xuanwu Hospital, Capital Medical University, Beijing, Beijing Municipality, China
  • 3 Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China

The final, formatted version of the article will be published soon.

    Background: Currently, the clinical evidence regarding the prognostic significance of the TyG index in acute myocardial infarction (AMI) patients remains unclear. Our research analyzed the correlation between the TyG index and the risk of mortality in patients with AMI, in order to evaluate the influence of the TyG index on the prognosis of this population.Methods: 1205 ICU patients with AMI were analyzed in this retrospective cohort analysis, and the necessary data were obtained from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The study conducted Kaplan-Meier analysis to compare all-cause mortality rates across four groups of patients. The study included logistic regression and Cox regression analysis to examine the correlation among the TyG index and the risk of in-hospital, 28-day, and 90-day mortality.Results: In our study, 176 (14.61%) patients experienced in-hospital deaths, 198 (16.43%) patients died within 28 days of follow-up, and 189 (23.98%) patients died within 90 days of follow-up. Logistic regression and Cox proportional hazard analyses revealed that the TyG index was an independent predictor of in-hospital, 28-day, and 90-day mortality (OR: 1.406, 95% CI 1.141-1.731, p = 0.001; HR: 1.364, 95% CI 1.118-1.665, p = 0.002; HR: 1.221, 95% CI 1.024-1.445, p = 0.026, respectively). The restricted cubic spline regression model showed that the risk of in-hospital, 28-day, and 90-day mortality increased linearly with increasing TyG index.The TyG index was significantly associated with an increased risk of mortality in AMI patients. Our findings suggested that the TyG index may be instrumental in identifying patients at high risk for adverse outcomes following AMI.

    Keywords: Triglyceride-glucose index, acute myocardial infarction, Insulin Resistance, All-cause mortality, MIMIC-IV database

    Received: 11 Jun 2024; Accepted: 03 Jan 2025.

    Copyright: © 2025 Su, Zhou, Chang, Zhao, Li and Sang. 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: Haiqiang Sang, Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.