Correlation of Apo-A and Apo-B/Apo-A ratio with the degree of coronary artery stenosis in patients with coronary heart disease / 西安交通大学学报(医学版)

ABSTRACT

Objective: To investigate the correlation of Apo-A and Apo-B/Apo-A ratio with the degree of coronary artery stenosis (CHD) in patients with coronary heart disease. Methods: Totally 234 patients with coronary heart disease examined with coronary angiography were collected. We collected blood lipid and calculated blood lipid ratio, such as non-HDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C, and Apo-B/Apo-A. Gensini score was calculated according to the result of CAG. We analyzed the correlation between the blood lipid indicators and the Gensini score with the Spearman correlation analysis. Linear regression analysis was made of the correlation between those meaningful indicators and the Gensini score. Results: There were no significant differences in age, hypertension, diabetes or smoking index between all Gensini score groups. The illness course in middle-score group was longer than that in low-score group and high-score group (P=0.023, P=0.002). There was a significant difference in Apo-A between the groups (P=0.009, P<0.001, P=0.013). The levels of TC, Apo-B and LPα in high-score group were lower than those in low-score group (P=0.008, P=0.001, P=0.002). The levels of HDL-C and Apo-B/Apo-A ratio in both middle-score and high-score group were lower than those in low-score group (P=0.008, P=0.001). The Spearman correlation analysis between various risk factors and Gensini score found that HDL-C and Apo-A had negative correlation with Gensini score (r=-0.166, r=-0.294), the ratios of LDL-C/HDL-C and Apo-B/Apo-A were positively correlated with Gensini score (r=0.159, r=0.170). By multi-factor linear regression, Apo-A was negatively related with Gensini score (β=-62.249), and Apo-B/Apo-A ratio was positively associated with Gensini score (β =31.311). Conclusion: Apo-A and Apo-B/Apo-A ratios are the independent risk factors for the stenosis degree of coronary artery in patients with CHD. They are reliable predictors for the risk of CHD.