Triglyceride-glucose index and mortality in congestive heart failure with diabetes: a machine learning predictive model

In patients with CHF and DM, TyG exhibited a linear correlation with both 28-day hospital mortality and 28-day ICU mortality. Elevated TyG values were significantly linked to a heightened risk of adverse events.

Authors

Institutions

Publication Details

Journal
Frontiers in Endocrinology
Published
2025-10-15
DOI
https://doi.org/10.3389/fendo.2025.1675152
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Triglyceride-glucose index and mortality in congestive heart failure with diabetes: a machine learning predictive model

Lin Yu, Haizhu Chen, Jiwen Zhang, Wei Han
Frontiers in Endocrinology
Cardiovascular Function and Risk Factors
article

Triglyceride-glucose index and mortality in congestive heart failure with diabetes: a machine learning predictive model

Lin Yu, Haizhu Chen, Jiwen Zhang, Wei Han
article en

Abstract

In patients with CHF and DM, TyG exhibited a linear correlation with both 28-day hospital mortality and 28-day ICU mortality. Elevated TyG values were significantly linked to a heightened risk of adverse events.

Frontiers in EndocrinologyVol. 16
Guangzhou University of Chinese Medicine (CN), Foshan University (CN)
Openalex Percentile: Top 56%
Cardiovascular Function and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Triglyceride-glucose index and mortality in congestive heart failure with diabetes: a machine learning predictive model — Lin Yu, Haizhu Chen, et al. · Frontiers in Endocrinology (2025) | TGRS Research Map | TGRS