Table 4.
Stepwise linear regression analyses for ascending aortic diameter.
| Variables | Model I Adjusted R2 = 0.115 | Model II Adjusted R2 = 0.160 R square change: 0.05 | Model III Adjusted R2 = 0.243 R square change: 0.09 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Standardized β | P value | Collinearity statistics (VIF) | Standardized β | P value | Collinearity statistics (VIF) | Standardized β | P value | Collinearity statistics (VIF) | |
| LVEF | –0.097 | 0.20 | 1.22 | -0.052 | 0.49 | 1.26 | –0.002 | 0.98 | 1.29 |
| GFR | –0.205 | 0.01* | 1.20 | –0.174 | 0.02* | 1.11 | –0.041 | 0.34 | 1.32 |
| LAd | 0.166 | 0.03* | 1.09 | 0.092 | 0.23 | 1.31 | 0.071 | 0.58 | 1.32 |
| BMI | 0.136 | 0.06 | 1.04 | 0.122 | 0.08 | 1.04 | 0.085 | 0.20 | 1.06 |
| LV mass | 0.249 | 0.001* | 1.25 | 0.223 | 0.002* | 1.26 | |||
| Total Thiol | –0.340 | <0.001* | 1.36 | ||||||
Stepwise linear regression analysis. The regression model included body mass index (BMI), glomerular filtration rate (GFR), left atrium diameter (LAd), left ventricular ejection fraction (LVEF, %), left ventricle mass (LV-mass) and total thiol as possible independent variables. Standardized β: Beta c oefficient; VIF: Variance inflation factor.