Table 3.
Predictive characteristics of admission indicator and their combinations for ICU mortality
| Logistic regression model | AUROC (95% CI) | Youden index | Cut-off | OR (95% CI) | P |
|---|---|---|---|---|---|
| Univariate models | |||||
| APACHE II | 0.724 (0.595-0.831) | 0.5714 | 27.00 | 1.261 (1.091-1.458) | 0.002 |
| SOFA | 0.649 (0.516-0.767) | 0.3452 | 10.00 | 1.436 (1.159-1.777) | 0.001 |
| Bifidobacterium | 0.718 (0.588-0.826) | 0.4677 | 0.0041 | 0.800 (0.622-1.029) | 0.082 |
| Multivariate models | |||||
| APACHE II plus Bifidobacterium | 0.876 (0.766-0.946) | 0.6514 | 1.82 | 2.716 (1.435-5.141) | 0.002 |
| SOFA plus Bifidobacterium | 0.882 (0.774-0.950) | 0.6071 | 1.07 | 2.720 (1.488-4.973) | 0.001 |
Optimal cut-off value is determined by Youden’s index. Cut-off points of the multivariate indicator models were the predicted probability generated by the multiple logistic regression model. AUROC, area under the receiver operating characteristic curve. OR, odds ratio. CI, confidence interval.