Relationship between Calcium Score and Conventional Risk Factors in the Diagnosis of Atherosclerosis.

Abstract

Background: The coronary artery calcium score has been established as a highly specific feature of coronary atherosclerosis. The present study aimed to assess the possible association of coronary artery risk factors involving atherosclerosis with the coronary artery calcification (CAC) scores using coronary computed tomographic angiography (CCTA). Methods: The present cross-sectional study, performed on 252 patients in need of CCTA during April 2019 and September 2019 at Farshchian hospital in Hamadan, Iran. The demographic information and risk factors were acquired from the files of patients. Furthermore, the CACs of patients were calculated and expressed as the Agatston score. Based on the Agatston scale, participants were divided into 4 CAC scores: zero (CAC = 0), mild (CAC = 1-99), moderate (CAC = 100-399), and severe (CAC ≥400). The association between possible coronary artery disease (CAD) risk variables and the CAC score was investigated using multinomial logistic regression. Results: Of 252 participants, approximately 40% of studied patients had a positive CAC score (CAC > 0). CAC significantly shifts toward higher scores in smokers, patients with diabetes, hypertension, and older patients. Mild (CAC = 1-99) and moderate CAC (100-399) were significantly associated with diabetes (odds ratio [OR], 3.26; 95% CI, 1.48-7.17) and (OR, 12; 95% CI, 4.40-32.71) for mild and moderate CAC, respectively. However, the strongest predictor for severe CAC was diabetes (OR, 7.72; 95% CI, 2.10-28.35). Conclusion: Coronary artery calcium scoring is a marker for risk factors associated with atherosclerosis. In this study, more than half of patients in CAC screening had CAC = 0. The strongest predictor of severe CAC>0 was smoking and diabetes. Regarding this association between health condition and CAC, determining the CAC can prevent major coronary heart disease events in these patients.