Prognostic significance of the TyG index combined with the NLR for heart failure: a retrospective study

Background: The triglyceride-glucose (TyG) index and the neutrophil-lymphocyte ratio (NLR) are independent prognostic factors in patients with heart failure, but no studies have explored the predictive value of the TyG index combined with the NLR (TyG-NLR) for all-cause mortality in patients with heart failure. Methods: A total of 1,063 patients with HF admitted to the First Affiliated Hospital of Kunming Medical University from January 2017 to October 2021 were enrolled in the study. Based on the median of TyG-NLR, patients were divided into a low TyG-NLR group (TyG-NLR < 5.93) and a high TyG-NLR group (TyG-NLR ≥ 5.93) and 4 subgroups according to the median TyG and NLR (Group 1: TyG <1.79 + NLR < 3.31; Group 2: TyG < 1.79 + NLR ≥ 3.31; Group 3: TyG ≥ 1.79 + NLR < 3.31; Group 4: TyG ≥ 1.79 + NLR ≥ 3.31). We used Kaplan-Meier curves, Cox survival analyses, ROC curves, NRI, IDI, and DCA to explore the predictive value of the TyG-NLR for all-cause mortality in HF patients. Results: < 0.001), with Group 1 being the reference group. In addition, the receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) analysis revealed that the model with the TyG-NLR is superior to the traditional model in predicting all-cause mortality in patients with HF. Conclusions: Our findings demonstrate that an increased TyG-NLR is an independent predictor of increased mortality in patients with HF.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-04-21
DOI
https://doi.org/10.3389/fcvm.2026.1712467
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic significance of the TyG index combined with the NLR for heart failure: a retrospective study

L J Chen, Yanqing Liu, Ping Xia, Lusha Gao et al.
Frontiers in Cardiovascular Medicine
Inflammatory Biomarkers in Disease Prognosis
article

Prognostic significance of the TyG index combined with the NLR for heart failure: a retrospective study

L J Chen, Yanqing Liu, Ping Xia, Lusha Gao, Hongxing Zhang, Yun Song, Tao Shi, Fazhi Yang, Sirui Yang
article en

Abstract

Background: The triglyceride-glucose (TyG) index and the neutrophil-lymphocyte ratio (NLR) are independent prognostic factors in patients with heart failure, but no studies have explored the predictive value of the TyG index combined with the NLR (TyG-NLR) for all-cause mortality in patients with heart failure. Methods: A total of 1,063 patients with HF admitted to the First Affiliated Hospital of Kunming Medical University from January 2017 to October 2021 were enrolled in the study. Based on the median of TyG-NLR, patients were divided into a low TyG-NLR group (TyG-NLR < 5.93) and a high TyG-NLR group (TyG-NLR ≥ 5.93) and 4 subgroups according to the median TyG and NLR (Group 1: TyG <1.79 + NLR < 3.31; Group 2: TyG < 1.79 + NLR ≥ 3.31; Group 3: TyG ≥ 1.79 + NLR < 3.31; Group 4: TyG ≥ 1.79 + NLR ≥ 3.31). We used Kaplan-Meier curves, Cox survival analyses, ROC curves, NRI, IDI, and DCA to explore the predictive value of the TyG-NLR for all-cause mortality in HF patients. Results: < 0.001), with Group 1 being the reference group. In addition, the receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) analysis revealed that the model with the TyG-NLR is superior to the traditional model in predicting all-cause mortality in patients with HF. Conclusions: Our findings demonstrate that an increased TyG-NLR is an independent predictor of increased mortality in patients with HF.

Frontiers in Cardiovascular MedicineVol. 13
Kunming Medical University (CN), First Affiliated Hospital of Kunming Medical University (CN)
Kunming Medical University, Yunnan Provincial Science and Technology Department
Good health and well-being
Openalex Percentile: Top 22%
Inflammatory Biomarkers in Disease Prognosis
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.