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. 2016 Dec 27;8(12):19443–19454. doi: 10.18632/oncotarget.14305

Table 7. Univariate and multivariate logistic regression model for prediction of coronary artery disease.

Variable Univariate analysis OR (95% CI) P Multivariate analysis OR (95% CI) P
Paraoxonase1 activity, U/L 0.495(0.264-0.926) 0.028 0.519(0.270-0.998) 0.049
Total cholesterol, mmol/L 1.435(0.684-3.009) 0.340 1.225(0.479-3.136) 0.672
LDL cholesterol, mmol/L 2.075(1.118-3.853) 0.021 2.071(0.925-4.635) 0.077
HDL cholesterol, mmol/L 0.508(0.270-0.956) 0.036 0.624(0.276-1.409) 0.256
Triglycerides, mmol/L 1.109(0.588-2.090) 0.749 1.248(0.618-2.523) 0.536
apolipoprotein A1, g/L 0.605(0.319-1.145) 0.123 0.816(0.356-1.867) 0.629
apolipoprotein B, g/L 1.137(0.577-2.243) 0.710 0.534(0.209-1.361) 0.189
Apolipoprotein A1/B 0.729(0.248-2.147) 0.567 0.649(0.180-2.339) 0.509
Age 2.418(1.058-5.525) 0.036 2.169(0.807-5.830) 0.125
Gender 0.478(0.258-0.886) 0.019 0.914(0.407-2.052) 0.828