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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Cardiovascular Endocrinology

This article is part of the Research TopicMetabolic and Inflammatory Pathways in Cardiometabolic Diseases: From Nutritional Interventions to Clinical ApplicationsView all 3 articles

Inflammatory Storm and Metabolic Disorders: Unraveling Heterogeneity in Mortality Risk for Comorbid Diabetes Mellitus and Heart Failure via the C-Reactive Protein-Triglyceride-Glucose Index

Provisionally accepted
Na  ZhangNa Zhang1Lin  XieLin Xie1Shuhua  ZhangShuhua Zhang1Qun  WangQun Wang1Hengcheng  LuHengcheng Lu1Zhiyu  XiongZhiyu Xiong1Guobo  XieGuobo Xie1Guotai  ShengGuotai Sheng1Hongyi  YangHongyi Yang1Shiming  HeShiming He2*Tanghong  LiaoTanghong Liao1*Wei  WangWei Wang1*Yang  ZouYang Zou1*
  • 1Jiangxi Provincial People's Hospital, Nanchang, China
  • 2Nanchang University, Nanchang, China

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

Objective: Acute decompensated heart failure (ADHF), a critical cardiovascular emergency, is driven by a metabolic and inflammatory imbalance that serves as the central mechanism of disease progression. This study aims to analyze the heterogeneity of mortality risk in patients with comorbid diabetes mellitus (DM) and HF using the C-reactive protein-triglyceride-glucose index (CTI). Methods: This study evaluated 1,051 ADHF patients from the Jiangxi-ADHF II cohort. The Boruta algorithm, a fully automated feature selection method, was applied to identify key predictive variables and rank their importance. Cox proportional hazard models were constructed to assess the association between the CTI and 30-day mortality risk in ADHF patients, stratified by DM status. To further elucidate the nonlinear characteristics of risk associations, restricted cubic splines were employed to construct dose-response relationship curves. Additionally, heatmaps were used to assess the joint association of CTI components with mortality risk. Results: The 30-day follow-up revealed a mortality rate of 8.3%. Through the Boruta algorithm and multivariate Cox regression analysis, we identified CTI as a key prognostic factor for short-term mortality risk in ADHF patients, especially in those with comorbid DM. The restricted cubic splines model further confirmed the linear and non-linear associations between CTI and mortality in ADHF patients with and without DM. Additionally, heatmaps visualized the association between CTI components and mortality: to summarize, the mortality risk is relatively low when the triglyceride-glucose index remains within specific ranges (8.25-9.0 for patients with DM; 7.0-9.0 for non-DM patients) and the C-reactive protein level is maintained below 50 mg/L. Further subgroup analyses highlighted distinct risk modulation patterns: non-DM ADHF patients exhibited mortality risk heterogeneity across gender, hypertension, and stroke subgroups; however, the DM comorbid group demonstrated uniform risk profiles with no statistically significant differences. Conclusion: This study demonstrates the clinical utility of the novel inflammatory-metabolic index CTI in mortality risk assessment for ADHF patients, with superior risk stratification efficacy observed in those with DM comorbidity.

Keywords: C-reactive protein-triglyceride-glucose index, Diabetes Mellitus, acutedecompensated heart failure, TyG index, C-Reactive Protein

Received: 20 Aug 2025; Accepted: 30 Oct 2025.

Copyright: © 2025 Zhang, Xie, Zhang, Wang, Lu, Xiong, Xie, Sheng, Yang, He, Liao, 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:
Shiming He, hsm971226@163.com
Tanghong Liao, liaotanghong@126.com
Wei Wang, wwangcvri@163.com
Yang Zou, jxyxyzy@163.com

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