Table 5 ROC curve analysis for variables in predicting events.
Variables | AUC (95%CI) | Sensitivity/specificity | P value |
|---|---|---|---|
LAFI | 0.90 (0.84, 0.96) | 83.30%/88.90% | < 0.001 |
LVEF | 0.83 (0.75, 0.90) | 72.90%/82.40% | < 0.001 |
NT-proBNP | 0.76 (0.68, 0.85) | 66.70%/79.60% | < 0.001 |
LVEDV | 0.75 (0.67, 0.84) | 62.50%/83.30% | < 0.001 |
Killip Classification | 0.70 (0.61, 0.79) | 72.90%/64.80% | < 0.001 |
WBC | 0.66 (0.57, 0.75) | 50.00%/75.90% | 0.001 |
T2DM | 0.65 (0.55, 0.75) | 47.9%/81.5% | 0.003 |
MVD | 0.63 (0.54, 0.72) | 95.8%/30.6% | 0.009 |