Skip to main content

ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Cardiovascular Endocrinology

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1430277

This article is part of the Research Topic Clinical Implications of Obesity and Lipid-Related Parameters on Cardiometabolic Diseases - Volume II View all 16 articles

Association of surrogate adiposity markers with prevalence, all-cause mortality and long-term survival of heart failure: a retrospective study from NHANES database

Provisionally accepted
Fan-Shun Guo Fan-Shun Guo 1,2Chen Guo Chen Guo 1,2Jia-Hao Dou Jia-Hao Dou 1,2Jun-Xiang Wang Jun-Xiang Wang 3Rui-Yun Wu Rui-Yun Wu 1,2Shoufang Song Shoufang Song 1,2Xue-Lu Sun Xue-Lu Sun 1,2Yi-Wei Hu Yi-Wei Hu 1,2Jin Wei Jin Wei 1,2*
  • 1 Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
  • 2 Clinical Research Center for Endemic Disease of Shaanxi Province, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
  • 3 Medicine Department, Xi'an Jiaotong University, Xi'an, China

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

    Introduction: Obesity, especially abdominal obesity, is more common in patients with heart failure (HF), but body mass index (BMI) cannot accurately describe fat distribution. Several surrogate adiposity markers are available to reflect fat distribution and quantity. The objective of this study was to explore which adiposity marker is most highly correlated with HF prevalence, all-cause mortality and patients’ long-term survival.Methods: The National Health and Nutrition Examination Survey (NHANES) database provided all the data for this study. Logistic regression analyses were adopted to compare the association of each surrogate adiposity marker with the prevalence of HF. Cox proportional hazards models and restricted cubic spline (RCS) analysis were employed to assess the association between surrogate adiposity markers and all-cause mortality in HF patients. The ability of surrogate adiposity markers to predict long-term survival in HF patients was assessed using time-dependent receiver operating characteristic (ROC) curves.Results: 46,257 participants (1,366 HF patients) were encompassed in this retrospective study. An area under the receiver operating characteristic curve (AUC) for the prevalence of HF assessed by weight-adjusted-waist index (WWI) was 0.70 (95% CI: 0.69-0.72). During a median follow-up of 70 months, 700 of 1366 HF patients’ death were recorded. The hazard ratio (HR) for HF patients’ all-cause mortality was 1.33 (95% CI: 1.06-1.66) in the a body shape index (ABSI) quartile 4 group and 1.43 (95% CI: 1.13-1.82) in the WWI quartile 4 group, compared with the lowest quartile group. The AUC for predicting 5-year survival of HF patients using the ABSI was 0.647 (95% CI: 0.61-0.68).Conclusions: WWI is strongly correlated with the prevalence of HF. In HF patients, those with higher WWI and ABSI tend to higher all-cause mortality. ABSI can predict patients’ long-term survival. We recommend the use of WWI and ABSI for assessing obesity in HF patients.

    Keywords: Surrogate adiposity markers, Heart Failure, abdominal obesity, NHANES, Retrospective study

    Received: 09 May 2024; Accepted: 13 Feb 2025.

    Copyright: © 2025 Guo, Guo, Dou, Wang, Wu, Song, Sun, Hu and Wei. 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: Jin Wei, Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 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.

    Research integrity at Frontiers

    Man ultramarathon runner in the mountains he trains at sunset

    94% of researchers rate our articles as excellent or good

    Learn more about the work of our research integrity team to safeguard the quality of each article we publish.


    Find out more