Zhang Daoliang, Shi Wenrui, Liu Jiakun, Yao Younan, Zhang Jian
Department of Cardiology, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, No. 12 Langshan Road, Nanshan District, Shenzhen, China.
Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Lipids Health Dis. 2025 Jul 10;24(1):235. doi: 10.1186/s12944-025-02654-y.
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.
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.
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.
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.
内脏脂肪已日益被视为心力衰竭（HF）发生发展中的一个关键可改变风险因素。本研究旨在探讨内脏脂肪代谢评分（METS-VF）与HF患病率之间的联系，并评估METS-VF是否能改善普通人群中HF的检测。
分析纳入了2003年至2018年国家健康与营养检查调查中的24,681名受试者。根据自我报告的病史确定HF。
发现HF的总体患病率为2.91%。在调整相关混杂因素后，METS-VF每增加一个标准差，患HF的风险就会高出75.4%。METS-VF值处于最高四分位数的参与者患HF的风险是最低四分位数参与者的2.731倍。基于平滑曲线模型，METS-VF与HF之间的关系几乎呈线性，亚组分析证实了不同人口统计学组之间的这种关联。当将METS-VF添加到标准心血管危险因素中时，HF鉴别能力有轻微改善（AUC：0.867对0.873，P = 0.003）。重新分类指标也突出了纳入METS-VF的增量价值。
本研究结果表明METS-VF与HF患病率之间存在强烈的线性关系，表明METS-VF可能是改善普通人群中HF筛查的辅助工具。
