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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Systems Endocrinology

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1680746

This article is part of the Research TopicInterplay between Glucose and Lipid Homeostasis in Metabolic HealthView all 5 articles

Independent and Joint Associations of Glucose Modified by High-Density Lipoprotein Cholesterol with Mortality in Heart Failure Patients: Evidence from the Jiangxi, China Cohort

Provisionally accepted
Guoan  JianGuoan Jian1Shiming  HeShiming He1Kun  JiangKun Jiang1Zhenyu  WangZhenyu Wang1Juan  WangJuan Wang1Houhui  LanHouhui Lan1Guobo  XieGuobo Xie2Guotai  ShengGuotai Sheng2Yan  FangYan Fang2*Wei  WangWei Wang2*Yang  ZouYang Zou2*
  • 1Nanchang University, Nanchang, China
  • 2Jiangxi Provincial People's Hospital, Nanchang, China

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

Objective: Metabolic disorders characterized by dysregulation of glucose and lipid homeostasis are significant drivers of heart failure progression. This study proposes using high-density lipoprotein cholesterol (HDL-C) to modify fasting plasma glucose (FPG), and thereby constructing the FPG/HDL-C ratio (FHR) as a novel comprehensive metabolic indicator, and further investigates the synergistic effects of the FHR and its components on mortality in patients with acute decompensated heart failure (ADHF). Methods: This cohort study included 2,328 ADHF patients recruited from the Jiangxi-ADHF II cohort. Multivariable Cox regression and restricted cubic spline models were used to analyze the association between the FHR and 30-day mortality in ADHF patients. To visualize the joint effects of FPG and HDL-C on 30-day mortality risk, we generated two-dimensional heatmaps and three-dimensional surface plots. Finally, mediation models were employed to perform exploratory analysis of the potential mediating roles of inflammatory factor white blood cells, oxidative stress marker gamma-glutamyl transferase, and nutritional factor albumin in the association between FHR and mortality risk. Results: During the 30-day follow-up, 150 deaths (6.44%) occurred in the Jiangxi-ADHF II cohort. Multivariable Cox regression analysis revealed a positive association between FHR and 30-day mortality. Restricted cubic spline analysis showed a U-shaped association instead of a linear pattern, with the lowest mortality risk at FHR values ranging from 4 to 6. Notably, the joint association analysis based on two-dimensional heatmaps and three-dimensional surface plots, demonstrated a concave-shaped association of FPG and HDL-C with 30-day mortality: when both FPG (3–7 mmol/L) and HDL-C (1.05–1.65 mmol/L) were maintained within specific ranges, short-term mortality risk was minimized. Finally, mediation analysis suggested that inflammatory factor white blood cells and the nutritional factor albumin play significant mediating roles in the short-term mortality risk of ADHF patients associated with FHR. Conclusion: This cohort study of the Jiangxi population in China is the first to reveal a U-shaped association between FHR and 30-day mortality in ADHF patients, establishing a synergistic effect of FPG and HDL-C on mortality risk. Based on these findings, we propose implementing a “metabolic synergistic management” strategy for ADHF patients in clinical practice.

Keywords: Fasting plasma glucose, High-density lipoprotein cholesterol, fastingplasma glucose to high-density lipoprotein cholesterol ratio, acute decompensatedheart failure, China

Received: 06 Aug 2025; Accepted: 16 Oct 2025.

Copyright: © 2025 Jian, He, Jiang, Wang, Wang, Lan, Xie, Sheng, Fang, Wang and Zou. 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:
Yan Fang, drfangyan@sina.com
Wei Wang, wwangcvri@163.com
Yang Zou, jxyxyzy@163.com

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