Table 3.
Domain-specific multivariable logistic regression model for the binary survival “outcome”
| OR | 95% CI | p-value | |
|---|---|---|---|
| Demographic prediction modela | |||
| Age | 1.04 | 1.03, 1.06 | < 0.001 |
| Sex [male] | 1.45 | 1.09, 1.92 | 0.010 |
| Physiological prediction modelb | |||
| SAPS-II Score | 1.06 | 1.05, 1.08 | < 0.001 |
| MPI Score | 1.05 | 1.03, 1.07 | < 0.001 |
| Days in ICU | 0.99 | 0.98, 1.01 | 0.3 |
| Surgical prediction modelc | |||
| Wound healing disorders [Yes] | 0.38 | 0.21, 0.65 | < 0.001 |
| Skin closure [Yes] | 0.03 | 0.01, 0.06 | < 0.001 |
OR odds ratio, CI confidence interval
aN = 1347, Brier-Score 0.15, AUROC 0.67 (0.63–0.7), Hosmer–Lemeshow Goodness of Fit Test 0.99
bN = 598, Brier-Score 0.16, AUROC 0.77 (0.73–0.82), Hosmer–Lemeshow Goodness of Fit Test 0.76
cN = 598, Brier-Score 0.15, AUROC 0.69 (0.65–0.74), Hosmer–Lemeshow Goodness of Fit Test 1.00