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Table 3 Comparison of models in predicting the one-year mortality of sepsis patients

From: One-year mortality prediction for patients with sepsis: a nomogram integrating lactic dehydrogenase and clinical characteristics

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)

  1. LDH-model: a predicting model integrating LDH and clinical features (including age, gender, ethnicity, potassium, calcium, albumin, hemoglobin, alkaline phosphatase, vasopressor, Elixhauser score, and respiratory failure)
  2. LDH Lactic dehydrogenase, SOFA Sequential organ failure assessment, SAPS Simplified acute physiology score, PPV Positive predictive value, NPV Negative predictive value, AUC Area under the curve, CI Confidence interval