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Table 4 Performance of biomarkers to predict active SLE

From: Performance of cytokine models in predicting SLE activity

Biomarker

AUC

95% CI

Cut-off point

Sensitivity

Specificity

LR+

LR−

C3

0.647

0.541–0.752

< 0.90 g/l

61.64%

71.23%

1.57

0.63

C4

0.612

0.500–0.724

< 0.20 g/l

47.06%

63.10%

1.48

0.68

Anti-dsDNA

0.619

0.519–0.719

> 100.0 IU/ml

52.94%

63.01%

1.43

0.74

IFN-α

0.622

0.523–0.720

> 10.17 pg/ml

50.98%

59.80%

1.68

0.70

MCP-1

0.707

0.616–0.799

> 779.28 pg/ml

66.67%

67.12%

2.02

0.49

IL-6

0.684

0.592–0.776

> 5.44 pg/ml

52.94%

82.19%

2.97

0.57

IL-8

0.754

0.663–0.844

> 55.0 pg/ml

64.00%

82.43%

3.38

0.44

IL-18

0.801

0.721–0.882

> 50.0 pg/ml

70.00%

79.73%

3.45

0.37

  1. AUC area under a receiver operating characteristic (ROC) curve, LR likelihood ratios
  2. Number of patients using in the analysis; active SLE (n = 51), inactive SLE (n = 73)