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 |
LAFI: left atrial function index; LVEDV: left ventricular end-diastolic volume; LVEF: left ventricular ejection fraction; MVD: multivessel coronary artery disease; NT-proBNP, NT-terminal B-type brain natriuretic peptide precursor; T2DM: type 2 diabetes mellitus; WBC: white blood cell count.