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Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Association between cardiometabolic index and stroke risk: insights from the CHARLS cohort study
Tian Liu1, Chen Xu1, Hangjun Chen1
1Department of Ultrasound, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Insights
The Cardiometabolic Index (CMI) is linked to higher stroke risk. Elevated CMI, a measure of metabolic health, independently predicts stroke, suggesting its use in early risk assessment.
Area of Science:
- Cardiology
- Metabolic Health
- Public Health
Background:
- Stroke represents a significant global health burden.
- The Cardiometabolic Index (CMI), integrating triglycerides, HDL cholesterol, and waist-to-height ratio, is a novel metric for metabolic disease prediction.
- The association between CMI and stroke risk remains underexplored.
Purpose of the Study:
- To investigate the relationship between the Cardiometabolic Index (CMI) and the risk of stroke.
- To determine if CMI can serve as an independent predictor of stroke incidence.
Main Methods:
- Analysis of data from 9,079 participants in the China Health and Retirement Longitudinal Study (CHARLS).
- Stratification of participants into CMI quintiles for risk assessment.
- Utilized Cox proportional hazard models and restricted cubic spline regression over a 7.8-year follow-up period.
- Adjusted for potential confounding factors in the analysis.
Main Results:
- A significant association was found between higher CMI levels and increased stroke risk.
- A 21% increased stroke risk was observed per 1-unit increase in CMI after adjustments (HR: 1.21, 95% CI: 1.11-1.32).
- A dose-response relationship between CMI and stroke incidence was evident, particularly above a CMI threshold of 1.6.
Conclusions:
- Elevated CMI is a robust, independent predictor of stroke risk.
- CMI shows potential as a valuable clinical tool for early stroke risk stratification and prevention strategies.
- Further large-scale research is recommended to validate the clinical utility of CMI in stroke prediction.
Background:
Stroke is a leading global health challenge, significantly burdening individuals and healthcare systems. The Cardiometabolic Index (CMI), a novel metric combining triglycerides, HDL cholesterol, and waist-to-height ratio, has shown promise in predicting metabolic diseases but its relationship with stroke risk is underexplored.
Methods:
This study analyzed data from 9,079 participants in the China Health and Retirement Longitudinal Study (CHARLS). Participants were stratified by CMI quintiles with the following ranges: Q1 (0.074-0.602), Q2 (0.602-0.935), Q3 (0.935-1.402), Q4 (1.402-2.327), and Q5 (2.327-74.326). Stroke incidence over a 7.8-year follow-up period was assessed. Cox proportional hazard models and restricted cubic spline regression were used to evaluate the association between baseline CMI and stroke risk, adjusting for confounders.
Results:
Higher CMI levels were significantly associated with increased stroke risk, with a 21% higher risk per 1-unit increase in CMI after adjustment (HR: 1.21, 95% CI: 1.11-1.32). Stroke incidence showed a dose-response relationship, particularly above a CMI threshold of 1.6.
Conclusion:
Elevated CMI is a strong independent predictor of stroke risk, highlighting its potential as a clinical tool for early risk stratification and prevention. Further large-scale studies are needed to validate its utility.
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