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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