Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Risk stratification in heart failure with mildly reduced or preserved ejection fraction using epicardial adipose tissue volume and triglyceride-glucose index.

Created on 20 Sep 2026

Authors

Jie Liu, Wenxian Wang, Runze Zhu, Yan Gao, Jian Wang, Liang Wu, Wanting Wang, Ximing Wang

Published in

Nutrition, metabolism, and cardiovascular diseases : NMCD. Pages 104988. Sep 01, 2026. Epub Sep 01, 2026.

Abstract

Patients with heart failure with mildly reduced or preserved ejection fraction remain at substantial risk of adverse clinical outcomes. This study aimed to evaluate the prognostic value of the triglyceride-glucose index, body mass index, and epicardial adipose tissue index and to determine whether their combination improves risk stratification.
This multicenter retrospective study included 712 patients (316 with mildly reduced and 396 with preserved ejection fraction). Epicardial adipose tissue was quantified by cardiac magnetic resonance and indexed to body surface area. Cox regression and Kaplan-Meier analyses were performed for the composite endpoint of all-cause mortality or heart failure hospitalization. During a median follow-up of 25 months, 184 patients (25.8%) experienced the primary endpoint. Higher triglyceride-glucose index and epicardial adipose tissue index were independently associated with increased risk of adverse outcomes, whereas body mass index was not. Patients with concomitantly elevated triglyceride-glucose index and epicardial adipose tissue index had the highest risk. Adding these two indices to the clinical model improved discrimination and risk reclassification.
The triglyceride-glucose index and epicardial adipose tissue index were independently associated with adverse outcomes in patients with heart failure with mildly reduced or preserved ejection fraction. Their combination provided incremental prognostic information beyond traditional clinical factors, supporting their potential utility for improved risk stratification.

PMID:
42763235
Bibliographic data and abstract were imported from PubMed on 20 Sep 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 15
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement