Based on these three factors, a logistic prediction model was constructed as follows: p = 1/[1 + e-(−6.743 + 0.142×1 + 3.257×2-2.709×3)], where p represents the probability of secondary CI; X1 denotes carotid artery stenosis degree; X2 denotes the serum SNHG1 expression level; and X3 denotes the serum miR-194-5p expression level. This evidence concerns the gene SNHG1 and coronary atherosclerosis measurement.