Predictive Model | AUROC | Â | Pa value | IDI | P value |
---|
Training set | Nomogram | 0.743 (0.713–0.773) |  |  |  |
 | SOFA | 0.647 (0.616–0.684) |  < 0.001 | 9.73% (7.48–11.98%) |  < 0.001 |
 | SAPSII | 0.707 (0.668–0.741) | 0.004 | 6.84% (4.60–9.08%) |  < 0.001 |
Validation set | Nomogram | 0.746 (0.699–0.790) |  |  |  |
 | SOFA | 0.596 (0.543–0.654) |  < 0.001 | 14.06% (10.71–17.41%) |  < 0.001 |
 | SAPSII | 0.664 (0.613–0.715) | 0.007 | 11.68% (8.06–15.30%) |  < 0.001 |
- AUROC area under the receiver operating characteristic curve; IDI integrated discrimination improvement
- aDelong’s test was used for testing the difference of AUROC between SOFA SAPS II scores and the nomogram model. In training set, result of AUROC between SOFA and the nomogram is Z = −5.0879 (p < 0.01), result of AUROC between SAPII and the nomogram is Z = 2.8677 (p = 0.004); in validation set,result of AUROC between SOFA and the nomogram is Z = −5.5984 (p < 0.01), result of AUROC between SAPII and the nomogram is Z = 2.7171 (p = 0.007)