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Table 1 Comparison of the backgrounds of patients with COVID-19 between two groups of pneumonia with high/low percentage of lung lesions on CT images at admission

From: Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography – a multicenter retrospective cohort study in Japan

Parameters

 

Pneumonia with low % lung lesions group

(N = 800)

Pneumonia with high % lung lesions group

(N = 400)

P value

Age [years]

 

54.3 (± 17.0)

57.6 (± 16.1)

0.001

Sex, male

 

527 (65.9)

308 (77.0)

< 0.001

BMI [kg/m2]

 

24.5 (± 6.43)

25.7 (± 5.01)

0.002

Smoking history

   

0.850

 Never

 

416 (53.8)

210 (54.4)

 

 Previously or currently

 

357 (46.2)

176 (45.6)

 

Medical history

    

 Hypertension

 

230 (28.8)

147 (36.8)

0.005

 Diabetes mellitus

 

125 (15.7)

94 (23.6)

< 0.001

 Cardiovascular disease

 

70 (8.8)

46 (11.6)

0.127

 Malignancy

 

76 (9.6)

36 (9.0)

0.749

 Autoimmune disease

 

58 (7.3)

21 (5.3)

0.184

 COPD

 

25 (3.1)

9 (2.3)

0.398

 Asthma

 

68 (8.6)

18 (4.6)

0.012

 Hyperuricemia

 

88 (11.1)

47 (11.8)

0.704

 Chronic liver disease

 

26 (3.3)

11 (2.8)

0.634

 Chronic kidney disease

 

55 (6.9)

42 (10.6)

0.032

Admission

    

 Days from onset to admission [days]

 

4.71 (± 3.00)

6.79 (± 3.73)

< 0.001

Data are as N (%) or mean (standard deviation).

Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; COVID-19, coronavirus disease.