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Coronary Calcium Characteristics as Predictors of Major Adverse Cardiac Events in Symptomatic Patients: Insights From
Mallory S Lo-Kioeng-Shioe1,2, Andrea L Vavere1, Armin Arbab-Zadeh1
11 Department of Cardiology Johns Hopkins Hospital and School of Medicine Baltimore MD.
Insights
Coronary artery calcium (CAC) density is the strongest predictor of major adverse cardiac events among various CAC metrics. However, it offers no additional predictive value beyond the standard Agatston score when considering stenosis severity.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Coronary artery calcium (CAC) scoring is established for cardiovascular risk assessment.
- Specific CAC characteristics beyond the Agatston score require further investigation for enhanced predictive power.
Purpose of the Study:
- To determine the independent associations of Agatston score, CAC volume, area, mass, and density with major adverse cardiac events (MACE).
- To identify which CAC characteristic is the most potent predictor of MACE in patients with suspected coronary artery disease.
Main Methods:
- Analysis of 379 symptomatic patients from the CORE 320 study undergoing coronary calcium scanning and CT angiography.
- Calculation of Agatston score, CAC volume, area, mass, and density from noncontrast images.
- Assessment of 2-year MACE, including revascularizations, myocardial infarctions, cardiac death, hospitalizations, and arrhythmias.
Main Results:
- Agatston score, CAC volume, and CAC density were all significantly associated with increased MACE risk.
- CAC density emerged as the strongest independent predictor among all CAC metrics evaluated.
- CAC density did not provide incremental predictive value over the Agatston score when adjusted for diameter stenosis.
Conclusions:
- In symptomatic individuals, CAC density is the most powerful independent predictor of MACE among various CAC measures.
- The addition of CAC density to the Agatston score does not improve risk prediction beyond diameter stenosis assessment.
Abstract:
Background The predictive value of coronary artery calcium ( CAC ) has been widely studied; however, little is known about specific characteristics of CAC that are most predictive. We aimed to determine the independent associations of Agatston score, CAC volume, CAC area, CAC mass, and CAC density score with major adverse cardiac events in patients with suspected coronary artery disease. Methods and Results A total of 379 symptomatic participants, aged 45 to 85 years, referred for invasive coronary angiography, who underwent coronary calcium scanning and computed tomography angiography as part of the CORE 320 (Combined Noninvasive Coronary Angiography and Myocardial Perfusion Imaging Using 320 Detector Computed Tomography) study, were included. Agatston score, CAC volume, area, mass, and density were computed on noncontrast images. Stenosis measurements were made on contrast-enhanced images. The primary outcome of 2-year major adverse cardiac events (30 revascularizations [>182 days of index catheterization], 5 myocardial infarctions, 1 cardiac death, 9 hospitalizations, and 1 arrhythmia) occurred in 32 patients (8.4%). Associations were estimated using multivariable proportional means models. Median age was 62 (interquartile range, 56-68) years, 34% were women, and 56% were white. In separate models, the Agatston, volume, and density scores were all significantly associated with higher risk of major adverse cardiac events after adjustment for age, sex, race, and statin use; density was the strongest predictor in all CAC models. CAC density did not provide incremental value over Agatston score after adjustment for diameter stenosis, age, sex, and race. Conclusions In symptomatic patients, CAC density was the strongest independent predictor of major adverse cardiac events among CAC scores, but it did not provide incremental value beyond the Agatston score after adjustment for diameter stenosis.
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