Artificial intelligence computed tomography helps evaluate the severity of COVID-19 patients: A retrospective study

Yi Han, Su-cheng Mu, Hai-dong Zhang, Wei Wei, Xing-yue Wu, Chao-yuan Jin, Guo-rong Gu, Bao-jun Xie, Chao-yang Tong

Table 1 Demographic and clinical characteristics of COVID-19 patients

Parameters All patients (n=117) Non-severe patients (n=77) Severe patients (n=40) P value Age (years) 63.5 (48.8-70.2) 62.0 (44.0-69.0) 69.0 (57.5-75.0) 0.002 Gender - - - 0.147 Male 67 (57.3) 40 (51.9) 27 (67.5) Female 50 (42.7) 37 (48.1) 13 (32.5) History Hypertension 32 (27.3) 16 (20.8) 16 (40.0) 0.034 DM 20 (17.1) 14 (18.2) 6 (15.0) 0.625 CHD 6 (5.1) 4 (5.2) 2 (5.0) 0.941 Symptoms Highest temperature (℃) 38.1 (37.7-38.7) 38.0 (37.2-38.6) 38.4 (38.0-38.9) 0.150 Cough 69 (59.0) 49 (63.6) 20 (50.0) 0.119 Dyspnea 25 (21.4) 13 (16.9) 12 (30.0) 0.117 Length of stay (d) 25.5 (12.75-37.00) 20.0 (10.0-28.0) 38.0 (31.5-43.5) <0.001 APACHE II 6.0 (3.0-8.0) 4.0 (2.0-6.0) 9.0 (7.0-11.0) <0.001 SOFA 1.0 (1.0-2.0) 1.0 (0.0-1.0) 3.0 (2.0-4.0) <0.001 PSI 67.45±32.71 56.03±26.26 88.63±33.19 <0.001 CURB-65 1.0 (0.0-1.0) 0.0 (0.0-1.0) 1.0 (1.0-2.0) <0.001 CT score 2.0 (1.0-4.0) 1.0 (1.0-3.0) 4.0 (3.0-5.0) <0.001 AI-CT score 8.86 (2.32-36.61) 4.59 (1.04-10.97) 49.71 (27.87-60.25) <0.001 Oxygenation Nasal tube 88 (75.2) 48 (62.3) 40 (100.0) <0.001 Facial mask 45 (38.5) 8 (10.4) 37 (92.5) <0.001 HFNC 33 (28.2) 3 (3.9) 30 (75.0) <0.001 NIV 15 (12.8) 0 (0.0) 15 (37.5) <0.001 MV 11 (9.4) 0 (0.0) 11 (27.5) <0.001 ECMO 1 (0.9) 0 (0.0) 1 (2.5) 0.319 Discharge 83 (70.9) 71 (92.2) 12 (30.0) <0.001 Mortality 8 (6.8) 4 (5.2) 4 (10.0) 0.555