Diagnostic performance of the three investigated prediction models
| Positive/negative | Optimal cut-off | Sensitivity | Specificity | PPV | NPV | AUC-ROC (95% CI) | |
| Clinical variables only | 138/143 | 0.32 | 93.5% | 50.0% | 64.5% | 88.8% | 0.80 (0.75–0.85) |
| Aeonose result only | 138/143 | −0.38 | 94.2% | 44.1% | 61.9% | 88.7% | 0.75 (0.69–0.81) |
| Multivariate logistic regression model | 138/143 | 0.27 | 95.7% | 59.7% | 69.5% | 92.5% | 0.86 (0.81–0.90) |
| Extended ANN | 138/143 | −0.65 | 94.2% | 49.0% | 64.0% | 89.7% | 0.84 (0.79–0.89) |
PPV: positive predictive value; NPV: negative predictive value; AUC-ROC: area under the receiver operating curve; ANN: artificial neural network.