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ORIGINAL RESEARCH article

Front. Endocrinol.
Sec. Cardiovascular Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1529004

Association of triglyceride-glucose-body mass index with all-cause mortality among individuals with cardiovascular disease: Results from NHANES

Provisionally accepted
  • 1 Tianjin Medical University, Tianjin, China
  • 2 Tianjin Chest Hospital, Tianjin, Tianjin Municipality, China

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

    The objective of this study was to explore the relationship between the triglyceride-glucose-body mass index (TyG-BMI) and all-cause mortality rate and to determine valuable predictive factors for the survival status of patients with cardiovascular disease (CVD).Methods: Conduct a study on CVD patients in the NHANES database from 2007 to 2016. Patients were divided into four groups based on the weighted quartiles of TyG-BMI. Kaplan-Meier curves, Cox regression, and restricted cubic spline (RCS) were used to analyze the correlation between this index and all-cause mortality. Receiver operating characteristic (ROC) curves were used to evaluate its predictive ability, sensitivity, and specificity.Results: This study included 1085 patients, and revealed significant differences in survival rates among patients with different TyG-BMI levels. Patients in the higher TyG-BMI group have a lower mortality risk, yet there is no evident non-linear relationship. The ROC curve indicates that this indicator can serve as a predictive value for mortality in CVD patients, demonstrating good sensitivity and specificity.This study found a significant association between TyG-BMI index and all-cause mortality in patients with CVD. TyG-BMI can be used as a predictive indicator of all-cause mortality in CVD patients.

    Keywords: NHANES, TyG-BMI, cardiovascular disease, TyG index, CVD (cardio vascular disease)

    Received: 15 Nov 2024; Accepted: 09 Jan 2025.

    Copyright: © 2025 Sun and Hu. 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: Yuecheng Hu, Tianjin Medical University, Tianjin, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.