Models | Sets | Cut off | Sensitivity (95%CI) | Specificity (95%CI) | PPV (95%CI) | NPV (95%CI) | AUC (95%CI) | Accuracy (95%CI) |
---|---|---|---|---|---|---|---|---|
LDH-model | Training set | 0.530 | 0.761 (0.732–0.791) | 0.662 (0.624–0.700) | 0.747 (0.717–0.777) | 0.679 (0.641–0.716) | 0.773 (0.748–0.798) | 0.718 (0.695–0.742) |
Testing set | 0.751 (0.704–0.798) | 0.619 (0.561–0.676) | 0.703 (0.655–0.751) | 0.673 (0.615–0.732) | 0.750 (0.711–0.789) | 0.691 (0.654–0.728) | ||
SOFA | Training set | 0.629 | 0.283 (0.252–0.314) | 0.827 (0.796–0.857) | 0.682 (0.631–0.732) | 0.467 (0.437–0.498) | 0.578 (0.548–0.608) | 0.518 (0.492–0.544) |
Testing set | 0.178 (0.137–0.220) | 0.833 (0.789–0.878) | 0.563 (0.467–0.659) | 0.457 (0.413–0.501) | 0.542 (0.495–0.588) | 0.476 (0.436–0.516) | ||
SAPS II | Training set | 0.570 | 0.624 (0.591–0.658) | 0.662 (0.624–0.700) | 0.708 (0.674–0.742) | 0.573 (0.536–0.610) | 0.679 (0.651–0.707) | 0.640 (0.615–0.666) |
Testing set | 0.594 (0.540–0.647) | 0.630 (0.572–0.687) | 0.659 (0.604–0.713) | 0.563 (0.507–0.619) | 0.653 (0.609–0.697) | 0.610 (0.571–0.649) | ||
LDH alone | Training set | 0.556 | 0.525 (0.491–0.560) | 0.603 (0.564–0.642) | 0.635 (0.598–0.672) | 0.492 (0.456–0.528) | 0.576 (0.546–0.606) | 0.559 (0.533–0.585) |
Testing set | 0.542 (0.487–0.596) | 0.530 (0.470–0.589) | 0.581 (0.525–0.636) | 0.490 (0.432–0.547) | 0.565 (0.519–0.611) | 0.536 (0.496–0.576) |