Table 4.
Effects of various metabolic indicators in the diagnosis of LOS
| Index | Cut-off | AUC (95%CI) | Sensitivity | Specificity | PPV | NPV | Accuracy | P |
|---|---|---|---|---|---|---|---|---|
| PCT | 0.505 | 0.918 (0.882, 0.954) | 93.8% | 91.8% | 92.8% | 93.0% | 0.93 | < 0.001 |
| CRP | 4.970 | 0.853 (0.808, 0.898) | 78.7% | 94.3% | 93.9% | 79.8% | 0.86 | < 0.001 |
| Lac | 2.495 | 0.933 (0.901, 0.965) | 93.8% | 92.5% | 93.3% | 93.0% | 0.92 | < 0.001 |
| IL-6 | 10.030 | 0.697 (0.639, 0.755) | 56.2% | 91.8% | 88.5% | 65.2% | 0.73 | < 0.001 |
| IL-1β | 5.365 | 0.934 (0.904, 0.963) | 91.0% | 92.5% | 93.1% | 90.2% | 0.92 | < 0.001 |
| IL-12 | 41.810 | 0.810 (0.758, 0.862) | 79.2% | 93.1% | 92.8% | 79.9% | 0.86 | < 0.001 |
| CRP + Lac + IL-1β | 0.264 | 0.958 (0.934, 0.983) | 97.8% | 91.8% | 93.0% | 97.4% | 0.95 | < 0.001 |
Metabolic indicators with AUC > 0.8 were included for screening to obtain indicators for combined diagnosis, and ROC analysis was performed
PCT Procalcitonin, CRP C-reactive Protein, Lac Lactate, PPV Positive Predictive Value, NPV Negative Predictive Value