Table 3. Multivariable logistic regression analysis: S100A12 and sRAGE are independent predictors of disease occurrence.
Predictor | Β | S.E | P value | Exp β (OR) | 95%CI for Exp β |
---|---|---|---|---|---|
CRP | 1.289 | 0.299 | <0.0001 | 3.61 | 2.008–6.488 |
S100A12 | 0.608 | 0.299 | 0.042 | 1.837 | 1.022–3.305 |
sRAGE | −1.668 | 0.910 | 0.067 | 0.189 | 0.032–1.122 |
TNF-α | 0.012 | 0.017 | 0.473 | 1.012 | 0.980–1.046 |
BMI | −0.608 | 0.143 | <0.0001 | 0.932 | 0.411–0.720 |
Systolic BP | −0.071 | 0.033 | 0.030 | 0.932 | 0.874–0.993 |
Model parameters: constant: 14.32, −2Log likelihood 42-Chi2 < 0.0001, Hosmer and lemeshow test 0.94, R2 (Cox 0.67 and Nagelkerke 0.92). Cases n = 110, Controls n = 160.