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Competing cardiovascular outcomes associated with subclinical atherosclerosis (from the Multi-Ethnic Study of
Chintan S Desai1, Hongyan Ning, Joseph Kang
1Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Insights
Subclinical atherosclerosis, measured by coronary artery calcium (CAC) scores, increases the risk of cardiovascular disease (CVD) events and non-CVD death. Coronary heart disease is the most common first CVD event across all CAC levels.
Area of Science:
- Cardiovascular Medicine
- Epidemiology
- Preventive Cardiology
Background:
- Subclinical atherosclerosis, detected by coronary artery calcium (CAC) scoring, is a significant predictor of cardiovascular disease (CVD) and non-CVD mortality.
- Understanding the competing risks of specific CVD events versus non-CVD death in relation to atherosclerosis burden is crucial for risk stratification.
Purpose of the Study:
- To investigate the competing risks of specific cardiovascular disease (CVD) events and non-CVD death associated with varying levels of subclinical atherosclerosis.
- To analyze the temporal sequence and relative likelihood of different adverse outcomes based on coronary artery calcium (CAC) scores.
Main Methods:
- Utilized data from 3,095 men and 3,486 women (aged 45-84) in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort.
- Employed competing Cox models to assess cumulative incidences and hazard ratios for CVD events and non-CVD death across CAC score strata (0, 1-99, ≥100).
- Compared risks of specific CVD events (e.g., coronary heart disease) against non-CVD death as the first occurring event.
Main Results:
- In women, higher CAC scores (≥100) were associated with a significantly greater hazard ratio for any CVD event (3.07) compared to non-CVD death, versus CAC score 0 (1.40).
- Coronary heart disease was consistently the most frequent first CVD event across all CAC burden levels in both sexes.
- Women with CAC scores ≥100 had a 6.24-fold increased hazard ratio for coronary heart disease compared to those with CAC scores of 0.
Conclusions:
- Coronary artery calcium (CAC) scoring effectively identifies individuals at increased risk for cardiovascular events, particularly coronary heart disease.
- This study provides a novel competing risks framework for understanding the sequence of cardiovascular events and non-CVD death in relation to atherosclerosis.
- Risk stratification based on CAC burden is essential for predicting the likelihood of specific cardiovascular outcomes and overall mortality.
Abstract:
Subclinical atherosclerosis measured by coronary artery calcium (CAC) is associated with increased risk for multiple cardiovascular disease (CVD) outcomes and non-CVD death simultaneously. The aim of this study was to determine the competing risks of specific CVD events and non-CVD death associated with varying burdens of subclinical atherosclerosis. A total of 3,095 men and 3,486 women from the Multi-Ethnic Study of Atherosclerosis (MESA), aged 45 to 84 years, from 4 ethnic groups were included. Participants were stratified by CAC score (0, 1 to 99, and ≥100). Competing Cox models were used to determine competing cumulative incidences and hazard ratios within a group (e.g., those with CAC scores ≥100) and hazard ratios for specific events between groups (e.g., CAC score ≥100 vs 0). Risks were compared for specific CVD events and also against non-CVD death. In women, during a mean follow-up period of 7.1 years, the hazard ratios for any CVD event compared with a non-CVD death occurring first for CAC score 0 and CAC score ≥100 were 1.40 (95% confidence interval 0.97 to 2.04) and 3.07 (95% confidence interval 2.02 to 4.67), respectively. Coronary heart disease was the most common first CVD event type at all levels of CAC, and coronary heart disease rates were 9.5% versus 1.6% (hazard ratio 6.24, 95% confidence interval 3.99 to 9.75) for women with CAC scores ≥100 compared with CAC scores of 0. Similar results were observed in men. In conclusion, at all levels of CAC, coronary heart disease was the most common first CVD event, and this analysis represents a novel approach to understanding the temporal sequence of cardiovascular events associated with atherosclerosis.
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