Atherogenic index of plasma predicts coronary artery disease
The atherogenic index of plasma (AIP) may be a strong and independent predictor of coronary artery disease (CAD) in a Chinese Han population, a new observational study shows.
In the study population of 5,387 individuals (mean age 62.16±9.28 years; 60.18 percent male), 54.5 percent (n=2,935) were CAD patients while 45.5 percent (n=2,452) were healthy controls. Multivariate logistic regression was used to determine the relationship between the risk of CAD and the lipid parameters.
According to Pearson correlation analysis, AIP showed positive and significant correlations with total cholesterol (r=0.125; p<0.001), triglycerides (r=0.810; p<0001), low-density lipoprotein (LDL) cholesterol (r=0.035; p<0.001) and non-high-density lipoprotein (HDL) cholesterol (r=0.322; p<0.001).
The ratio of total cholesterol to HDL cholesterol (r=0.669; p<0.001) and of LDL to HDL cholesterol (r=0.447; p<0.001) likewise showed a significant positive association with AIP.
Both the atherosclerotic index (r=0.669; p<0.001) and lipoprotein combined index (r=0.668; p<0.001) were also positively associated with AIP. In contrast, age (r=-0.122; p<0.001) and HDL cholesterol (r=-0.632; p<0.001) were significantly but negatively correlated with AIP.
Univariate logistic regression showed that AIP correlated strongly with CAD (unadjusted odds ratio [OR], 1.782; 95 percent CI, 1.490 to 2.131; p<0.001). This was followed by the ratio of LDL to HDL cholesterol (unadjusted OR, 1.460; 1.372 to 1.554; p<0.001).
After adjusting for age, sex, smoking, hypertension and diabetes mellitus in multivariate logistic regression, AIP remained the strongest predictor of CAD out of all the lipid parameters (adjusted OR, 1.660; 1.467 to 2.016; p<0.001).