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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Cardiovascular risk stratification among individuals with obesity: The Coronary Artery Calcium Consortium
Ellen Boakye1, Gowtham R Grandhi1, Zeina Dardari1
1Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Insights
Coronary artery calcification (CAC) effectively predicts mortality in individuals with obesity. Higher CAC scores indicate increased risk for all-cause, cardiovascular disease (CVD), and coronary heart disease (CHD) mortality, aiding risk stratification.
Area of Science:
- Cardiology
- Radiology
- Public Health
Background:
- Obesity presents challenges for cardiovascular risk assessment due to imaging limitations.
- The utility of coronary artery calcification (CAC) for risk stratification in obese populations remains understudied.
Purpose of the Study:
- To evaluate the effectiveness of CAC in predicting mortality among individuals with obesity.
- To assess CAC as a tool for cardiovascular risk stratification in this demographic.
Main Methods:
- Analysis of data from 9334 participants (BMI ≥ 30 kg/m²) from the CAC Consortium.
- Utilized multivariable-adjusted Cox proportional hazards and competing-risks regression to assess CAC's predictive value for mortality.
Main Results:
- Individuals with higher CAC scores (≥ 100 Agatston units) exhibited increased rates of all-cause, CVD, and CHD mortality.
- CAC ≥ 300 was significantly associated with higher risks of all-cause (HR: 2.05), CVD (sHR: 3.48), and CHD mortality (sHR: 5.44) after adjustment.
- These associations remained significant even in individuals with BMI ≥ 35 kg/m².
Conclusions:
- Coronary artery calcification is a strong predictor of all-cause, CVD, and CHD mortality in individuals with obesity.
- CAC can serve as an effective tool for cardiovascular risk stratification in obese patients.
- Findings support prioritizing therapies for weight management based on CAC scores.
Objective:
The effectiveness of coronary artery calcification (CAC) for risk stratification in obesity, in which imaging is often limited because of a reduced signal to noise ratio, has not been well studied.
Methods:
Data from 9334 participants (mean age: 53.3 ± 9.7 years; 67.9% men) with BMI ≥ 30 kg/m2 from the CAC Consortium, a retrospectively assembled cohort of individuals with no prior cardiovascular diseases (CVD), were used. The predictive value of CAC for all-cause and cause-specific mortality was evaluated using multivariable-adjusted Cox proportional hazards and competing-risks regression.
Results:
Mean BMI was 34.5 (SD 4.4) kg/m2 (22.7% Class II and 10.8% Class III obesity), and 5461 (58.5%) had CAC. Compared with CAC = 0, those with CAC = 1-99, 100-299, and ≥300 Agatston units had higher rates (per 1000 person-years) of all-cause (1.97 vs. 3.5 vs. 5.2 vs. 11.3), CVD (0.4 vs. 1.1 vs. 1.5 vs. 4.2), and coronary heart disease (CHD) mortality (0.2 vs. 0.6 vs. 0.6 vs. 2.5), respectively, after mean follow-up of 10.8 ± 3.0 years. After adjusting for traditional cardiovascular risk factors, CAC ≥ 300 was associated with significantly higher risk of all-cause (hazard ratio [HR]: 2.05; 95% CI: 1.49-2.82), CVD (subdistribution HR: 3.48; 95% CI: 1.81-6.70), and CHD mortality (subdistribution HR: 5.44; 95% CI: 2.02-14.66), compared with CAC = 0. When restricting the sample to individuals with BMI ≥ 35 kg/m2 , CAC ≥ 300 remained significantly associated with the highest risk.
Conclusions:
Among individuals with obesity, including moderate-severe obesity, CAC strongly predicts all-cause, CVD, and CHD mortality and may serve as an effective cardiovascular risk stratification tool to prioritize the allocation of therapies for weight management.
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