Abstract
Coronary artery calcification (CAC) is an important marker of total burden of coronary atherosclerosis. Furthermore, it is a measure of subclinical atherosclerotic disease that correlates well with the cardiovascular risk. The aim of our study was to determine the role of the different lipid parameters in prediction of calcification in coronary arteries using multidetector computed tomography (MDCT). This study was conducted on 120 patients presenting to the clinic with typical or atypical chest pain or dyspnea on exertion, or equivocal stress test results along with standard cardiac risk factors; they all underwent computed tomography (CT) coronary angiography. A total calcium score was determined by summing individual lesion scores from each of our anatomic sites: left main (LM), left anterior descending (LAD), left circumflex (LCX), and right coronary artery (RCA). The amount of calcium present in the coronary arteries was scored according to Agatston score, and patients were divided into 2 groups based on absence (group I) and presence (group II) of CAC. Clinical characteristics, lipid ratios, and a full blood count were calculated and compared between both groups. Mean and standard deviation (SD) for age of group I was 52.4 ± 8.4 years, while that of group II was 53.7 ± 7.9 (P > 0.005). Patients in group II had a higher total cholesterol (TC), low-density lipoprotein (LDL), TC/high-density lipoprotein cholesterol (HDL-C) and LDL/HDL-C ratio, and lower HDL levels. TC/HDL ratio and LDL/HDL ratio were found to be good predictors of calcium using a regression analysis model. Finally, at a cut-off value of ≥ 3.108, LDL/HDL ratio showed a sensitivity of 58.8% and specificity of 84.6% in prediction of coronary calcium, while TC/HDL ratio ≥ 4.742 showed a sensitivity of 60.3% and specificity of 88.5%. Amongst the different lipid parameters, TC/HDL-C and LDL/HDL ratio were found to be good predictors of presence of CAC in coronary arteries.
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