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Table 2 Importance of the 15 biomarkers in distinguishing MIS-C from SCNS

From: The plasma proteome differentiates the multisystem inflammatory syndrome in children (MIS-C) from children with SARS-CoV-2 negative sepsis

Rank

Assay

MIS-C

Patients

SCNS

Patients

pValue

ROC

AUC

F1

Feature Importance

1

MRPL58

0.7 (0.5–0.8)

1.0 (1.0–2.0)

0.00003

1.00

0.82

8.89

2

LTA4H

0.8 (0.3-1.0)

0.1 (0.0-0.1)

0.00004

1.00

0.80

8.75

3

BTLA

0.4 (0.2–0.6)

1.0 (1.0–1.0)

0.00002

1.00

0.98

8.58

4

C3

1.0 (0.6-1.0)

0.2 (0.2–0.2)

0.00003

1.00

0.85

8.50

5

PDGFA

3.0 (1.8-4.0)

0.5 (0.4–0.5)

0.00003

1.00

0.84

8.43

6

F10

2.0 (2.0–2.0)

0.6 (0.5–0.8)

0.00002

1.00

0.89

8.38

7

ANGPT1

4.0 (2.0-4.2)

0.5 (0.4–0.6)

0.00003

1.00

0.94

8.37

8

CREBZF

0.1 (0.0-0.2)

1.0 (0.8-1.0)

0.00004

1.00

0.96

8.33

9

PPBP

3.0 (2.0-4.2)

0.2 (0.1–0.3)

0.00004

1.00

0.90

8.25

10

PTN

0.2 (0.1–0.5)

1.0 (1.0-2.2)

0.00004

0.99

0.90

5.43

11

BDNF

1.0 (0.9-2.0)

0.1 (0.1–0.2)

0.00004

0.99

0.89

5.31

12

SERPINI1

1.0 (0.9-1.0)

0.4 (0.3–0.6)

0.00005

0.99

0.91

3.95

13

BMP4

0.0 (0.0–0.0)

0.1 (0.1–0.1)

0.00006

0.99

0.94

3.54

14

EGF

6.0 (2.8–11.0)

0.4 (0.2–0.5)

0.00009

0.97

0.91

3.28

15

LYSMD3

0.6 (0.5–0.8)

0.1 (0.1–0.3)

0.00009

0.97

0.88

2.02

  1. Note Continuous variables compared with Mann-Whitney U Test