Table 3.
Age-adjusted multiple linear regression model identifying the predictors of SBP, PP, aortic BP and aortic PP in the population.
| Hemodynamic Parameter | Predictors | B | 95% Confidence Interval | p-Value | |
|---|---|---|---|---|---|
| Lower Limit | Upper Limit | ||||
| SBP (mmHg) | eGFR (ml/min/1.73 m2) | −0.306 | −0.351 | −0.261 | <0.001 |
| BMI (kg/m2) | 1.461 | 1.236 | 1.686 | <0.001 | |
| Coffee Consumption | −1.734 | −2.876 | −0.593 | 0.003 | |
| LDL-C (mg/dL) | 0.039 | 0.012 | 0.065 | 0.004 | |
| Sex (M versus F) | −2.716 | −4.757 | −0.676 | 0.009 | |
| PP (mmHg) | eGFR (ml/min) | −0.263 | −0.298 | −0.228 | <0.001 |
| BMI (kg/m2) | 1.027 | 0.845 | 1.208 | <0.001 | |
| Coffee Consumption | −1.544 | −2.462 | −0.625 | 0.001 | |
| LDL-C (mg/dL) | 0.028 | 0.007 | 0.050 | 0.010 | |
| Aortic BP (mmHg) | eGFR (mL/min/1.73 m2) | −0.326 | −0.371 | −0.281 | <0.001 |
| BMI (kg/m2) | 1.512 | 1.287 | 1.738 | <0.001 | |
| LDL-C (mg/dL) | 0.043 | 0.016 | 0.070 | 0.002 | |
| Coffee Consumption | −1.643 | −2.791 | −0.495 | 0.005 | |
| Sex (M versus F) | −2.714 | −4.769 | −0.659 | 0.010 | |
| Aortic PP (mmHg) | eGFR (mL/min/1.73 m2) | −0.283 | −0.318 | −0.248 | <0.001 |
| BMI (kg/m2) | 1.078 | 0.898 | 1.258 | <0.001 | |
| Coffee Consumption | −1.478 | −2.391 | −0.565 | 0.002 | |
| LDL-C (mg/dL) | 0.032 | 0.010 | 0.053 | 0.004 | |
BMI = body mass index, BP = blood pressure, eGFR = estimated glomerular filtration rate, LDL-C = low-density lipoprotein cholesterol, PP = pulse pressure, SBP = systolic blood pressure.