Table 3 Comparison between the new predictive model and each biomarker in terms of their power in differentiating Rupture group from Non-rupture group in patients with ACS.

From: Identification of plaque ruptures using a novel discriminative model comprising biomarkers in patients with acute coronary syndrome

 

AUC (95% CI)

Cut-off point

Sensitivity

Specificity

p-value

Model

0.843 (0.757, 0.929)

0.61

62.2

97.6

–

sLOX-1

0.763 (0.660, 0.865)

236.4

50

95.35

0.0346

WBC

0.665 (0.548, 0.781)

6.9

75.61

52.38

0.0016

NGAL

0.609 (0.486, 0.731)

56.0

57.14

65.12

0.0004

MMP-9

0.645 (0.524, 0.766)

12.7

54.76

74.42

0.0002

Peak CK-MB

0.706 (0.587, 0.824)

7.3

57.9

83.3

0.0199

  1. The cut-off point is calculated using the Youden’s index.
  2. ACS acute coronary syndrome, AUC area under the curve, sLOX-1 soluble lectin-like oxidized low-density lipoprotein receptor-1, WBC white blood cell, NGAL neutrophil gelatinase-associated lipocalin, MMP-9 matrix metalloproteinase-9, CK-MB creatine kinase-muscle/brain.
  3. p-values are the comparison results between new predictive model and each biomarker.
Back to article page