Association Between Two Novel Visceral Obesity Indicators and Heart Failure Among US Adults: A Cross-Sectional Study.

IF 1.7 4区 医学 Q4 MEDICINE, RESEARCH & EXPERIMENTAL Metabolic syndrome and related disorders Pub Date : 2025-03-01 Epub Date: 2025-02-25 DOI:10.1089/met.2024.0128
Xi Luo, Bin Cai, Weiwei Jin
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引用次数: 0

Abstract

Background: This study aimed to explore the association of cardiometabolic index (CMI), CMI-age, visceral adiposity index (VAI), and VAI-age with heart failure (HF) and to compare those indicators for early identification of HF. Methods: Drawing from the National Health and Nutrition Examination Survey (NHANES) for 2011-2018, we enrolled 8999 participants in a cross-sectional study. The association of different visceral obesity indicators (CMI, CMI-age, VAI, and VAI-age) with HF was estimated by multivariable regression analysis. Receiver operating characteristic (ROC) curves were used to examine the predictive ability of CMI, CMI-age, VAI, and VAI-age on patients with HF. Results: CMI, CMI-age, VAI and VAI-age showed positive correlations with HF. When indicators were analyzed as continuous variables, CMI, CMI-age, VAI, and VAI-age showed positive correlations with HF in both the crude and adjusted models (all P < 0.05). When indicators were analyzed as categorical variables, it was found that in all four models, the ORs of group Q4 was significantly different compared to Q1 (all P < 0.05), suggesting the risk of HF is significantly increased with higher CMI, CMI-age, VAI, or VAI-age. The association between those indicators (CMI, CMI-age, VAI, and VAI-age) and HF was similar in all stratified populations (P for interaction >0.05).The areas under the ROC curve (AUCs) of four indicators in predicting HF were significantly different (CMI: 0.610, 95% CI, 0.578-0.643; CMI-age: 0.700, 95% CI, 0.669-0.726; VAI: 0.593, 95% CI, 0.561-0.626; VAI-age: 0.689, 95% CI, 0.661-0.718), suggesting that CMI-age was significantly better than the other three indicators in predicting HF (P < 0.001). Conclusions: CMI, CMI-age, VAI, and VAI-age were all independently correlated with the risk of HF. In four indicators, the CMI-age was significantly better than the other three indicators in predicting HF, which provides new insights into the prevention and management of HF.

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两种新型内脏肥胖指标与美国成年人心力衰竭之间的关系:一项横断面研究。
背景:本研究旨在探讨心脏代谢指数(CMI)、CMI-age、内脏脂肪指数(VAI)和VAI-age与心力衰竭(HF)的关系,并比较这些指标对HF的早期诊断价值。方法:从2011-2018年国家健康与营养检查调查(NHANES)中提取数据,我们招募了8999名参与者进行横断面研究。通过多变量回归分析估计不同内脏肥胖指标(CMI、CMI-age、VAI和VAI-age)与HF的关系。采用受试者工作特征(ROC)曲线检验CMI、CMI-age、VAI和VAI-age对心衰患者的预测能力。结果:CMI、CMI-age、VAI、VAI-age与HF呈正相关。将指标作为连续变量分析时,CMI、CMI-age、VAI、VAI-age与HF在粗模型和调整模型中均呈正相关(P < 0.05)。将指标作为分类变量进行分析时发现,四种模型中,Q4组的or均较Q1组有显著差异(均P < 0.05),说明CMI、CMI-age、VAI、VAI-age越高,HF的发生风险越高。在所有分层人群中,这些指标(CMI、CMI-age、VAI和VAI-age)与HF的相关性相似(相互作用P值为0.05)。4项指标预测HF的ROC曲线下面积(auc)差异有统计学意义(CMI: 0.610, 95% CI: 0.578 ~ 0.643;CMI-age: 0.700, 95% CI, 0.669-0.726;Vai: 0.593, 95% ci: 0.561-0.626;VAI-age: 0.689, 95% CI, 0.661-0.718),提示CMI-age在预测HF方面明显优于其他3个指标(P < 0.001)。结论:CMI、CMI-age、VAI、VAI-age均与HF风险独立相关。在4项指标中,CMI-age对HF的预测效果明显优于其他3项指标,为HF的预防和治疗提供了新的思路。
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来源期刊
Metabolic syndrome and related disorders
Metabolic syndrome and related disorders MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
3.40
自引率
0.00%
发文量
74
审稿时长
6-12 weeks
期刊介绍: Metabolic Syndrome and Related Disorders is the only peer-reviewed journal focusing solely on the pathophysiology, recognition, and treatment of this major health condition. The Journal meets the imperative for comprehensive research, data, and commentary on metabolic disorder as a suspected precursor to a wide range of diseases, including type 2 diabetes, cardiovascular disease, stroke, cancer, polycystic ovary syndrome, gout, and asthma. Metabolic Syndrome and Related Disorders coverage includes: -Insulin resistance- Central obesity- Glucose intolerance- Dyslipidemia with elevated triglycerides- Low HDL-cholesterol- Microalbuminuria- Predominance of small dense LDL-cholesterol particles- Hypertension- Endothelial dysfunction- Oxidative stress- Inflammation- Related disorders of polycystic ovarian syndrome, fatty liver disease (NASH), and gout
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