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Table 3 Comparison of initial CT features between mild and severe patients in the train cohort

From: Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study

CT features

Mild group(n = 102)

Severe group (n = 50)

χ2 /Z Value

P Value

Location

  

16.828

< 0.001

 Unilateral lung

28 (27.5)

0 (0.0)

  

 Bilateral lung

74 (72.5)

50 (100.0)

  

Distribution

  

25.238

< 0.001

 Subpleural

57 (55.9)

7 (14.0)

  

 Subpleural with central

44 (43.1)

43 (86.0)

  

 Central

1 (1.0)

0 (0.0)

  

Morphology

  

31.109

< 0.001

 Nodular or patchy

50 (49.0)

5 (10.0)

  

 Nodular with patchy

26 (25.5)

10 (20.0)

  

 Patchy with segmental

26 (25.5)

35 (70.0)

  

Density

  

15.039

0.001

 GGO

50 (49.0)

9 (18.0)

  

 GGO with consolidation

46 (45.1)

39 (78.0)

  

 Consolidation

6 (5.9)

2 (4.0)

  

Vascular bundle thickening

  

10.805

0.001

 Yes

69 (67.6)

46 (92.0)

  

 No

33 (32.4)

4 (8.0)

  

Air bronchogram sign

  

5.834

0.016

 Yes

40 (39.2)

30 (60.0)

  

 No

62 (60.8)

20 (40.0)

  

Crazy-paving sign

  

8.554

0.003

 Yes

50 (49.0)

37 (74.0)

  

 No

52 (51.0)

13 (26.0)

  

Pulmonary fibrosis

  

1.314

0.252

 Yes

45 (44.1)

27 (54.0)

  

 No

57 (55.9)

23 (46.0)

  

Mosaic perfusion sign

  

37.621

< 0.001

 Yes

1 (1.0)

18 (36.0)

  

 No

101 (99.0)

32 (64.0)

  

Pleural effusion

7 (6.9)

5 (10.0)

0.125

0.723

Thoracic lymphadenopathy

18 (17.6)

10 (20.0)

0.124

0.725

Number of segments involved

5.5 (3.0–8.0)

10 (9.0–11.0)

−6.510

< 0.001

Severity score of lung

4 (2.0–5.0)

7 (5.0–9.0)

−7.712

< 0.001

  1. Note: GGO ground glass opacity
  2. Data are numbers of patients, with percentages in parentheses