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The Cardiometabolic Index is significantly associated with heart failure and offers superior diagnostic value compared to traditional measures like BMI. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

December 9, 2024Open Access

Cardiometabolic Index is associated with heart failure: a cross-sectional study based on NHANES

Structured PICO

Does a higher Cardiometabolic Index associate with an increased risk of heart failure in the general US population?

Population

22,586 participants from the National Health and Nutrition Examination Survey (NHANES) spanning 10 consecutive cycles from 1999/2000 to 2017/2018, representative of the U.S. population.

Intervention

Higher Cardiometabolic Index (CMI), calculated as Triglycerides (mmol/L) / High-Density Lipoprotein Cholesterol (mmol/L) × Waist-to-Height Ratio.

Comparator

Lower quartiles of Cardiometabolic Index (Q1-Q3).

Outcome

Congestive Heart Failure (CHF) confirmed based on self-report via the MCQ questionnaire.patient reported

The Cardiometabolic Index is significantly associated with an increased risk of heart failure, suggesting it could serve as a practical tool for early identification of high-risk individuals.

Abstract

Introduction: Heart failure is a complex syndrome characterized by impaired cardiac function. Despite improvements in treatment, the prevalence of heart failure continues to rise. The Cardiometabolic Index (CMI), a novel measure combining abdominal obesity and lipid levels, has emerged as a potential predictor of cardiac metabolic risk. Methods: We analyzed data from the National Health and Nutrition Examination Survey (NHANES) involving 22,586 participants to investigate the association between CMI and heart failure. Multivariable logistic regression models and RCS analysis were used to explore the association between heart failure and CMI after adjusting for potential confounders. Subgroup analyses were performed among populations with different demographic and clinical characteristics. Results: Our results revealed a significant positive correlation between CMI and heart failure, with odds ratios of 2.77 and 1.87 for the highest quartile after adjusting for confounders. Subgroup analyses indicated heightened risks among older adults and those with hypertension or diabetes. ROC curve analysis demonstrated that CMI offers good diagnostic value for heart failure, surpassing traditional measures like BMI. Discussion: Our findings suggest that CMI is a valuable tool for assessing the risk of heart failure, particularly in individuals with increased abdominal obesity or abnormal lipid profiles. This highlights the importance of addressing cardiac metabolic health in both prevention and treatment strategies for heart failure. Future research should focus on exploring causal relationships and refining predictive models that incorporate CMI to enhance early detection and intervention.

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