Table 5.
Univariate and multivariate logistic regression model for prediction of coronary atherosclerosis
| Variable | Univariate analysis OR (95% CI) | P value | Multivariate analysis OR (95% CI) | P value |
|---|---|---|---|---|
| Age | 0.940 (0.915-0.967) | < 0.001 | 0.591 (0.303-1.153) | 0.123 |
| Smoke | 1.874 (1.100-3.195) | 0.021 | 3.120 (1.440-6.757) | 0.004 |
| Diabetes mellitus | 0.356 (0.177-0.716) | 0.004 | 0.429 (0.181-1.014) | 0.054 |
| Hypertension | 2.053 (1.257-3.353) | 0.004 | 1.803 (0.916-3.551) | 0.088 |
| Overweight | 0.732 (0.446-1.202) | 0.217 | 0.926 (0.477-1.796) | 0.819 |
| CHD family history | 0.708 (0.435-1.155) | 0.167 | 1.767 (0.924-3.377) | 0.085 |
| LDL-C | 1.559 (0.928-2.620) | 0.093 | 1.198 (0.617-2.328) | 0.594 |
| HDL-C | 1.472 (0.881-2.459) | 0.140 | 1.109 (0.550-2.237) | 0.773 |
| ANGPTL3 | 0.138 (0.080-0.238) | < 0.001 | 0.189 (0.097-0.368) | < 0.001 |
| ANGPTL4 | 5.181 (3.084-8.702) | < 0.001 | 3.625 (1.873-7.016) | < 0.001 |
Coronary atherosclerosis: with one or more coronary stenosis 10 - 50% in diameter; BMI body mass index, Overweight BMI ≥ 24 kg/m2, CHD coronary heart diseases, LDL-C low-density lipoprotein-cholesterol, HDL-C high-density lipoprotein-cholesterol, ANGPTL angiopoietin-like proteins