Indicators | PPV (95% CI) | NPV (95% CI) | AUC (95% CI) | ACC (95% CI) |
---|---|---|---|---|
Training set | ||||
 Prediction model | 0.529 (0.433–0.626) | 0.850 (0.810–0.890) | 0.751 (0.749–0.752) | 0.769 (0.727–0.810) |
 SOFA | 0.448 (0.348–0.547) | 0.817 (0.774–0.860) | 0.672 (0.670–0.674)* | 0.729 (0.685–0.772) |
 SOAR | 0.302 (0.242–0.362) | 0.825 (0.769–0.881) | 0.607 (0.605–0.609)* | 0.532 (0.484–0.581) |
 PSI | 0.273 (0.225–0.321) | 0.875 (0.799–0.951) | 0.538 (0.536–0.540)* | 0.381 (0.333–0.428) |
 CURB-65 | 0.332 (0.267–0.396) | 0.843(0.792–0.893) | 0.645 (0.643–0.646)* | 0.582 (0.534–0.630) |
Testing set | Â | Â | Â | Â |
 Prediction model | 0.475 (0.350–0.601) | 0.827 (0.768–0.886) | 0.744 (0.742–0.747) | 0.728 (0.669–0.787) |
 SOFA | 0.356 (0.216–0.495) | 0.767 (0.704–0.831) | 0.634 (0.632–0.637)* | 0.682 (0.620–0.744) |
 SOAR | 0.360 (0.271–0.450) | 0.849 (0.781–0.917) | 0.667 (0.665–0.670) | 0.599 (0.534–0.664) |
 PSI | 0.301 (0.233–0.369) | 0.927 (0.847–1.000) | 0.621 (0.618–0.623)* | 0.419 (0.354–0.485) |
 CURB | 0.538 (0.347–0.730) | 0.780 (0.721–0.839) | 0.671 (0.668–0.673)* | 0.751 (0.694–0.809) |
External validation | ||||
 Prediction model | 0.467 (0.418–0.516) | 0.790 (0.764–0.817) | 0.703 (0.672–0.734) | 0.692 (0.666–0.717) |
 SOFA | 0.448 (0.403–0.494) | 0.801 (0.774–0.828) | 0.686 (0.654–0.718) | 0.675 (0.649–0.701) |
 SOAR | 0.327 (0.294–0.361)* | 0.766 (0.731–0.802) | 0.564 (0.533–0.594)* | 0.511 (0.484–0.539)* |
 PSI | 0.379 (0.335–0.423)* | 0.762 (0.734–0.791) | 0.613 (0.580–0.646)* | 0.626 (0.599–0.653)* |
 CURB-65 | 0.329 (0.295–0.362)* | 0.769 (0.734–0.805) | 0.570 (0.538–0.601)* | 0.511 (0.484–0.539)* |