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. 2023 Jun 21;13:10109. doi: 10.1038/s41598-023-33257-1

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.