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

Xi Luo1, Bin Cai2,3, Weiwei Jin1

  • 1Department of Clinical Nutrition, Tongde Hospital of Zhejiang Province, Hangzhou, China.

Insights

Cardiometabolic index (CMI) and visceral adiposity index (VAI) and their age-adjusted versions are linked to heart failure (HF) risk. CMI-age demonstrated superior predictive ability for early HF identification compared to other indicators.

Area of Science:

  • Cardiology
  • Metabolic Health
  • Public Health

Background:

  • Visceral obesity is a significant risk factor for cardiovascular diseases, including heart failure (HF).
  • Novel anthropometric indices like cardiometabolic index (CMI) and visceral adiposity index (VAI) are being explored for their association with metabolic dysfunction and cardiovascular risk.
  • The predictive value of these indices, particularly their age-adjusted forms (CMI-age, VAI-age), for early HF detection requires further investigation.

Purpose of the Study:

  • To investigate the association between CMI, CMI-age, VAI, and VAI-age with the prevalence of heart failure (HF).
  • To compare the predictive performance of these four visceral obesity indicators in identifying individuals at risk for HF.
  • To provide insights into potential biomarkers for early HF detection and management.

Main Methods:

  • A cross-sectional study utilizing data from 8999 participants in the National Health and Nutrition Examination Survey (NHANES) from 2011-2018.
  • Multivariable regression analysis was employed to assess the association between CMI, CMI-age, VAI, VAI-age, and HF.
  • Receiver operating characteristic (ROC) curve analysis was used to evaluate and compare the predictive accuracy of the indices for HF.

Main Results:

  • CMI, CMI-age, VAI, and VAI-age all showed significant positive correlations with HF risk in both crude and adjusted models.
  • Higher quartiles of CMI, CMI-age, VAI, and VAI-age were associated with a significantly increased risk of HF compared to the lowest quartile.
  • CMI-age exhibited the highest area under the ROC curve (0.700), indicating superior predictive ability for HF compared to CMI (0.610), VAI (0.593), and VAI-age (0.689).

Conclusions:

  • CMI, CMI-age, VAI, and VAI-age are independently associated with an increased risk of heart failure.
  • CMI-age emerges as a more effective indicator than CMI, VAI, and VAI-age for the early prediction of HF.
  • These findings highlight the potential utility of CMI-age in clinical practice for identifying individuals at high risk of HF, aiding in prevention and management strategies.

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