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Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Relationship between body roundness index and mortality rates and life expectancy in populations with metabolic
Xicheng Wang1, Taisheng Wu1, Yan Hong1
1Department of Cardiology, Huaihe Hospital of Henan University, Kaifeng, Henan, China.
Insights
Body Roundness Index (BRI) shows a U-shaped link to mortality in Metabolic Syndrome (MetS) patients. Optimal BRI may improve survival, with risks increasing at higher levels, especially for males.
Area of Science:
- Anthropometry
- Public Health
- Epidemiology
Background:
- Cardiovascular Disease (CVD) is a major health issue.
- Metabolic Syndrome (MetS) significantly increases CVD risk.
- The association between Body Roundness Index (BRI) and mortality in MetS is unclear.
Purpose of the Study:
- To investigate the relationship between BRI and mortality risk in MetS patients.
- To examine nonlinear associations and potential threshold effects of BRI on mortality.
- To assess BRI's predictive performance compared to BMI.
Main Methods:
- Longitudinal analysis of NHANES data (1999-2018) from 19,535 MetS participants.
- Cox proportional hazards regression and smooth curve fitting to analyze BRI-mortality association.
- Life table analysis to determine life expectancy by BRI levels.
Main Results:
- A U-shaped association between BRI and all-cause/cardiovascular mortality was observed (P<0.001).
- Higher BRI quintiles (Q5) showed increased mortality risk (HR: 1.29 for all-cause, HR: 1.39 for CVD).
- BRI's predictive performance for all-cause mortality was similar to BMI (AUC: 0.810 vs. 0.802).
- Significant gender differences were found: males in Q5 had higher risk, while females in Q4 showed a protective effect.
Conclusions:
- BRI exhibits a U-shaped association with mortality in MetS individuals.
- BRI demonstrates comparable predictive ability to BMI for all-cause mortality.
- Maintaining an optimal BRI level may be crucial for improved survival in MetS patients.
Background:
Cardiovascular Disease (CVD) represents a significant global public health challenge. Metabolic Syndrome (MetS) notably elevates the risk of CVD, with MetS patients facing approximately 2-3 times the risk compared to the general population. Body Roundness Index (BRI), a novel anthropometric marker, has recently gained attention; However, its comprehensive association with mortality risk in MetS populations remains incompletely elucidated.
Methods:
This longitudinal study analyzed data from 10 consecutive cycles of the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018, comprising 19,535 participants with MetS. We employed Cox proportional hazards regression models to elucidate the association between BRI and mortality risk. Nonlinear relationships were comprehensively examined using smooth curve fitting and two-segment Cox regression models to identify potential threshold effects. Life table analysis was utilized to calculate life expectancy by levels of the BRI, with multiple sensitivity analyses performed to validate the robustness and consistency of the primary findings.
Results:
BRI demonstrated a U-shaped association with mortality risk (P for nonlinearity <0.001), with the highest quintiles showing markedly increased all-cause (HR: 1.29, 95% CI: 1.12-1.48) and cardiovascular mortality risk (HR: 1.39, 95% CI: 1.13-1.73). BRI and BMI performed similarly in predicting all-cause mortality (AUC: 0.810 vs. 0.802, P = 0.18). Gender-stratified analyses revealed significant effect modification (P < 0.001): males in Q5 exhibited a 56% increased mortality risk (HR: 1.56, 95% CI: 1.30-1.87) and a 3.8-year reduction in life expectancy at age 45, while females in Q4 showed a protective effect (HR: 0.77, 95% CI: 0.66-0.90) and females in Q5 demonstrated only a modest 0.9-year life expectancy reduction.
Conclusion:
Our findings demonstrate a U-shaped association between BRI and all-cause and cardiovascular mortality in individuals with MetS. Notably, BRI showed comparable predictive performance to BMI for all-cause mortality in this population. Maintaining an optimal BRI level may be associated with improved survival outcomes.
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