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
- L J Chen
- Yanqing Liu (ORCID: https://orcid.org/0000-0001-6812-2811)
- Ping Xia (ORCID: https://orcid.org/0000-0002-9876-6754)
- Lusha Gao
- Hongxing Zhang
- Yun Song
- Tao Shi
- Fazhi Yang
- Sirui Yang
Institutions
- Kunming Medical University (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
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
- Kunming Medical University
- Yunnan Provincial Science and Technology Department