Table 5. Univariate and multivariate logistic regression analysis showing independent predictors of good CCC.
| Univariate | Multivariate* | |||
|---|---|---|---|---|
| p-value | OR (95% CI) | p-value | OR(95% CI) | |
| Adropin level | <0.001 | 1.12(1.06-1.18) | <0.001 | 1.13(1.06-1.19) |
| Age | 0.48 | 1.01(0.97-1.04) | 0.54 | 1.01(0.97-1.05) |
| BMI | 0.38 | 1.24(0.76-2.02) | 0.45 | 1.23(0.74-2.01) |
| Heart rate | 0.43 | 1.03(0.98-1.05) | 0.51 | 1.04(1.01-1.07) |
| High-sensitive C-reactive protein | 0.19 | 0.58(0.26-1.30) | 0.41 | 0.61(0.30-1.42) |
| Hemoglobin A1c | 0.96 | 0.98(0.51-1.90) | 0.34 | 1.01(0.56-1.96) |
| Current smoker | 0.12 | 1.86(0.89-3.89) | 0.48 | 1.35(0.55-3.32) |
| DM | 0.81 | 1.09(0.55-2.14) | 0.87 | 1.06(0.51-2.25) |
| Hypertension | 0.89 | 0.96(0.48-1.90) | 0.80 | 0.91(0.43-1.93) |
| Total cholesterol | 0.09 | 1.42(1.10-1.83) | 0.10 | 1.44(1.09-1.90) |
| HDL | 0.48 | 1.56(0.46-5.32) | 0.85 | 1.05(0.27-4.20) |
| Triglyceride | 0.10 | 1.23(0.96-1.58) | 0.27 | 1.19(0.88-1.60) |
| LDL | 0.77 | 0.99(0.97-1.02) | 0.23 | 1.01(0.98-1.03) |
| NLR | 0.23 | 0.66(0.44-1.10) | 0.31 | 0.74(0.51-1.33) |
| Gensini score | <0.001 | 1.02(1.01-1.03) | <0.001 | 1.01(1.00-1.02) |
| Multivessel disease | <0.001 | 2.63(1.68-4.14) | <0.001 | 2.45(1.53-3.93) |
| LAD occlusion | <0.001 | 4.59(2.13-9.90) | <0.001 | 4.73(2.08-10.70) |
| Cx occlusion | 0.09 | 2.21(1.07–4.34) | 0.11 | 2.41(1.12-4.41) |
| RCA occlusion | 0.01 | 2.31(1.17-4.53) | 0.03 | 2.17(1.03-4.56) |
*Adjusted for age, heart rate, BMI, total cholesterol and LDL. In this statistical analysis, adropin levels, as well as age, BMI, total cholesterol, HDL, triglyceride, LDL, multivessel disease, and gensini score are continuous values, others are binary variables. BMI: body mass index; DM: diabetes mellitus; NLR: neutrophil-to-lymphocyte ratios; LAD: left anterior descending artery; Cx: circumflex artery; RCA: right coronary artery.