Document Type : Original Article(s)
Authors
1
Assistant Professor of Cardiology, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
2
Associate Professor of Interventional Cardiology, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
3
Professor of Radiology, Department of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
4
Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
10.48305/jims.v43.i810.0319
Abstract
Background: Given that calcification is one of the main causes of atherosclerosis and the Carotid Intima-Media Thickness (CIMT) index is also a predictor of the progression of atherosclerosis, the aim of the present study was to compare the mean CIMT based on Coronary Artery Calcium Scoring (CACS) in patients with low and high cardiovascular risk factors.
Methods: The present cross-sectional study was performed on 100 participants without cardiovascular risk factors as the low-risk group and 100 participants with at least three cardiovascular risk factors as the high-risk group. Patients’ demographic data, their cardiovascular risk factors, underlying diseases, clinical presentations, and their medications were recorded. Then, coronary CT angiography findings, CIMT, and CACS values were documented.
Findings: Mean of CACS in the low-risk group was significantly lower than that of the high-risk group (6.18 ± 2.04 vs. 134.16 ± 62.09, P < 0.001). The CIMT value in the high-risk group with a mean of 0.72 ± 0.12 mm was slightly higher than that of the low-risk group with a mean of 0.71 ± 0.06 mm (P > 0.050). In addition, the correlation coefficient of CACS with CIMT was 0.094(P > 0.05) in the low-risk group and was 0.229 (P < 0.05) in the high-risk group.
Conclusion: According to the results of the present study, CIMT and CACS values in low-risk participants were lower than those of high-risk participants. Moreover, a significant direct correlation between CACS and CIMT was observed in high-risk participants. Thus, a direct association between these two factors may help identify individuals at higher risk of adverse cardiovascular events.
Highlights
Alireza Nematollahi: Google Scholar, PubMed
Parvin Bahrami: Google Scholar, PubMed
Amirreza Sajjadieh Khajouei: Google Scholar, PubMed
Atoosa Adibi: Google Scholar, PubMed
Ali Pouriayevali: Google Scholar, PubMed
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