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ORIGINAL RESEARCH article

Front. Endocrinol.
Sec. Systems Endocrinology
Volume 15 - 2024 | doi: 10.3389/fendo.2024.1367853
This article is part of the Research Topic Lipid Metabolism in Metabolic Dysfunction-Associated Steatotic Liver Disease View all 8 articles

Association between the Fatty Liver Index (FLI) and Incident Coronary Heart Disease: Insights from a Cohort Study on the Chinese Population

Provisionally accepted
Ying Miao Ying Miao 1Yu Wang Yu Wang 2Pijun Yan Pijun Yan 1Yi Li Yi Li 1*Zhuang Chen Zhuang Chen 3*Nanwei Tong Nanwei Tong 4*Qin Wan Qin Wan 1*
  • 1 Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China
  • 2 Department of Cardiology, Luzhou People's Hospital, Luzhou, China
  • 3 Experimental Medicine Center, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
  • 4 Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

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

    Background: The debate persists regarding whether metabolic dysfunction-associated steatotic liver disease (MASLD) actively contributes to coronary heart disease or merely acts as a passive indicator.Objective: This research aims to clarify the relationship between liver fat accumulation, as quantified by FLI, and the risk of developing coronary heart disease. Methods: Conducted from April to November 2011, the REACTION project, spearheaded by the Endocrinology Branch of the Chinese Medical Association, focused on Chinese adults aged 40 and above. Comprehensive data collection employed both questionnaires and specialized medical equipment, covering physical measurements, blood pressure, and pertinent biochemical markers. The study population excluded those with pre-existing coronary heart disease and acute myocardial infarction. Based on the initial data, participants were segmented and grouped into three categories. Analytically, the study utilized Cox proportional hazards models, further enhanced by stratified analyses to identify variations within predefined demographic groups.In this study, we enrolled 8,647 participants, comprising 2,887 males and 5,760 females. Over the 10-year non-interventional follow-up period, 433 participants (5%) passed away due to various reasons, with 55 deaths attributed to coronary heart disease/myocardial infarction, accounting for 12.7% of total deaths. Additionally, 484 participants were diagnosed with new-onset coronary heart disease, resulting in an incidence rate of 5.5%. Spearman correlation analysis revealed a positive correlation between FLI and traditional risk factors for coronary heart disease, including age, male gender, abnormal glucose metabolism, hypertension, smoking, TG, TC, LDL-C, etc. The Log-rank test indicated a rising cumulative incidence of coronary heart disease with increasing FLI groupings (P<0.01). Moreover, Cox regression analysis highlighted a notable correlation between FLI levels as a risk factor and the onset of coronary heart disease. After adjusting for other risk factors, individuals in the 30≤FLI<60 group exhibited a 1.203-fold higher risk of coronary heart disease compared to those in the FLI<30 group (p=0.126), while participants in the FLI≥60 group had a 1.386-fold higher risk than those in the FLI<30 group (p=0.041). Conclusion: Elevated FLI values are strongly associated with an increased susceptibility to coronary heart disease, indicating its potential value as a prognostic marker for the condition.

    Keywords: The Fatty Liver Index, coronary heart disease, Metabolic dysfunction-associated steatotic liver disease, REACTION project, Chinese population

    Received: 09 Jan 2024; Accepted: 20 May 2024.

    Copyright: © 2024 Miao, Wang, Yan, Li, Chen, Tong and Wan. 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:
    Yi Li, Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China
    Zhuang Chen, Experimental Medicine Center, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
    Nanwei Tong, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan Province, China
    Qin Wan, Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China

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