Table 3 Basic outputs of the stepwise linear regression models with PP = 60 mmHg as a classifier
From: Central Blood Pressure and Vascular Aging in Patients with Type 2 Diabetes Mellitus
Model Nr | Dependent variable | Independent variable | Adjustment for | AUC (95% CI) | Sensitivity of the model (%) | Specificity of the model (%) | Cutoff value of the dependent variable |
|---|---|---|---|---|---|---|---|
Model 1 | PWV (m/s) | cSBP (mmHg) | Age | 0.824 (0.72—0.92) | 81.81 | 68.93 | 9.43 m/s |
Model 2 | AIx (%) | cSBP (mmHg) | Age | 0.773 (0.67—0.87) | 74.07 | 65.30 | −20.90% |
Model 3 | AIx (%) | cSBP (mmHg) | Age + Height | 0.776 (0.66—0.89) | 72.72 | 73.78 | −13.50% |
Model 4 | AIx (%) | cSBP (mmHg) | Age + Heart rate | 0.699 (0.57—0.82) | 68.18 | 67.96 | −15.90% |
Model 5 | AIx (%) | cSBP (mmHg) | Age + Height + Heart rate | 0.658 (0.52—0.79) | 72.72 | 60.19 | −22.59% |
Model 6 | AIx (%) | cSBP (mmHg) | PWV | 0.777 (0.67—0.87) | 72.72 | 67.96 | −18.60% |