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. 2025 Jul 10;24(1):235.
doi: 10.1186/s12944-025-02654-y.

Linking metabolic score for visceral fat to heart failure: insights from national health and nutrition examination survey 2003-2018

Affiliations

Linking metabolic score for visceral fat to heart failure: insights from national health and nutrition examination survey 2003-2018

Daoliang Zhang et al. Lipids Health Dis. .

Abstract

Background: Visceral fat has become increasingly recognized as a key modifiable risk factor in the development of heart failure (HF). This study aims to investigate the link between the Metabolic Score for Visceral Fat (METS-VF) and the prevalence of HF, and evaluate whether METS-VF could improve the detection of HF in the general population.

Methods: 24,681 subjects from the 2003-2018 National Health and Nutrition Examination Survey were included in the analysis. HF was determined according to self-reported medical history.

Results: The overall prevalence of HF was found to be 2.91%. After adjusting for relevant confounders, each one-standard-deviation increase in METS-VF was associated with a 75.4% higher risk of prevalent HF. Participants with METS-VF values in the highest quartile had a 2.731-fold greater risk of prevalent HF than those in the lowest quartile. The relationship between METS-VF and HF appeared nearly linear based on smooth-curve modeling, and subgroup analyses confirmed this association across different demographic groups. When METS-VF was added to standard cardiovascular risk factors, there was a slight improvement in HF discrimination (AUC: 0.867 vs. 0.873, P = 0.003). Reclassification metrics also highlighted the incremental value of including METS-VF.

Conclusion: The findings of this study demonstrated a strong, linear relationship between METS-VF and the prevalence of HF, suggesting that METS-VF could be an adjunctive tool for improving HF screening in the general population.

Keywords: General population; Heart failure; Insulin resistance; Metabolic score for visceral fat; NHANES; Visceral adiposity.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: Every subject in the NHANES study provided a written consent for participating in the survey. The NCHS institutional Ethics Review Board approved the study design of NHANES. Therefore, an additional Ethics Review is unnecessary for the current analysis. Consent for publication: Before participating in the study, all participants signed the informed consent. Competing interests: The authors declare no competing interests. Clinical trial number: Not applicable. Declaration of generative AI in scientific writing: Generative AI and AI-assisted technologies were only used in the writing process to improve the readability and language of the manuscript.

Figures

Fig. 1
Fig. 1
Flow chart of the subject’s enrollment Abbreviations: National Health and Nutrition Examination Survey; METS-VF: Metabolic Score for Visceral Fat; HF: heart failure
Fig. 2
Fig. 2
Smooth curve fitting illustrating the linear relationship between METS-VF and prevalent HF The model was adjusted for age, sex, race, current smoking, heavy alcohol consumption, PIR, BMI, WC, SBP, FPG, TC, eGFR, anti-hypertensive, anti-diabetic, and lipid-lowering therapy. The solid line represents the estimated risk of prevalent HF, while the dotted lines indicate the pointwise 95% confidence intervals. The association remained linear across the entire range of METS-VF Abbreviations: METS-VF: Metabolic Score for Visceral Fat; HF: heart failure; PIR: poverty-to-income ratio; BMI: body mass index; WC: waist circumference; SBP: systolic blood pressure; FPG: fasting plasma glucose; TC: total cholesterol; eGFR: estimated glomerular filtration rate
Fig. 3
Fig. 3
Subgroup analysis of the correlation between METS-VF and prevalent HF The multivariate logistic model was adjusted for all variables in Model 2 of Table 2, except for the variable used to define each subgroup. The association remained consistent across subgroups of sex, age, race, PIR, obesity, hypertension, and diabetes Abbreviations: METS-VF: Metabolic Score for Visceral Fat; HF: heart failure; PIR: poverty-to-income ratio

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References

    1. Roger VL. Epidemiology of heart failure: A contemporary perspective. Circ Res. 2021;128:1421–34. - PubMed
    1. Savarese G, Becher PM, Lund LH, Seferovic P, Rosano GMC, Coats AJS. Global burden of heart failure: a comprehensive and updated review of epidemiology. Cardiovasc Res. 2023;118:3272–87. - PubMed
    1. Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, et al. Heart disease and stroke Statistics-2023 update: A report from the American heart association. Circulation. 2023;147:e93–621. - PMC - PubMed
    1. Khan MS, Shahid I, Bennis A, Rakisheva A, Metra M, Butler J. Global epidemiology of heart failure. Nat Rev Cardiol. 2024;21:717–34. - PubMed
    1. Kazi DS, Elkind MSV, Deutsch A, Dowd WN, Heidenreich P, Khavjou O, Mark D, Mussolino ME, Ovbiagele B, Patel SS, et al. Forecasting the economic burden of cardiovascular disease and stroke in the united States through 2050: A presidential advisory from the American heart association. Circulation. 2024;150:e89–101. - PubMed