The present clinical study aims to identify transcriptomic patterns derived from whole blood samples related to coronary atherotic burden. Additionally, as a secondary analysis, the research team will explore the algorithm's ability to detect the presence of aortic disease and pro-inflammatory cardiometabolic alterations, such as hepatic steatosis and surrogate markers of coronary inflammation.
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Coronary calcium score
Timeframe: At baseline (cross-sectional assessment)
Total coronary plaque burden
Timeframe: At baseline (cross-sectional assesment)
Degree of coronary stenosis
Timeframe: At baseline (cross-sectional assesment)
Coronary high-risk plaques (low-attenuation, positive remodeling; spotty calcification, or napkin-ring sign)
Timeframe: At baseline (cross-sectional assesment)