Table 2.
Linear regression analysis: dependent variables were aortic pulse wave velocity (PWV), aortic augmentation index (AIx) and total arterial compliance (C T) and independent variables were demographic and hemodynamic parameters as well as risk factors which are known to affect arterial biomechanical properties
| AIx (%) | PWV (m/s) | C T (mL/mmHg) | |
|---|---|---|---|
| Age (years) | −0.017 (0.788) | 0.015 (0.795) | −0.116 (0.068) * |
| Gender (females) | 0.098 (0.111) * | −0.104 (0.080) | 0.095 (0.138) * |
| Mean BP (mmHg) | 0.319 (<0.001) ** | 0.168 (0.005) ** | −0.105 (0.099) |
| Heart rate (b.p.m.) | −0.311 (<0.001) ** | 0.060 (0.327) | −0.028 (0.665) |
| Smoking (yes) | −0.148 (0.244) | −0.010 (0.933) | −0.004 (0.974) |
| Diabetes (yes) | −0.137 (0.026) | 0.096 (0.105) | −0.011 (0.869) |
| Dyslipidemia (yes) | 0.034 (0.557) | −0.061 (0.304) | 0.110 (0.084) |
Values correspond to beta coefficients (p values)
*p < 0.05; **p < 0.01 (indicate the independent determinants of the dependent variable in a stepwise multiple regression model)