Table 3 Multivariate logistic regression analysis. Model with the 5 variables to estimate 1-year mortality risk.
β | SE(β) | OR (95%CI) | P value | |
|---|---|---|---|---|
Intercept | − 0.4898 | |||
Age*, yr | 0.5642 | 0.0984 | 1.76 (1.45, 2.13) | 0.0015 |
Gender (1, male) | 0.4217 | 0.1301 | 1.52 (1.18, 1.97) | 0.0012 |
Neoplasia (1, yes) | 1.0442 | 0.1795 | 2.84 (2.00, 4.04) | < 0.0001 |
Barthel index | − 0.0193 | 0.0020 | 0.42 (0.17, 0.68) | < 0.0001 |
AF (1, yes) | 0.4021 | 0.1286 | 1.49 (1.16, 1.92) | 0.0018 |
AUC 0.72 | R2 0.19 | Brier score 0.20 | ||
AUC corrected 0.72 | R2 corrected 0.19 | Brier score corrected 0.20 | ||