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Table 1 Patient characteristics in the two cohorts

From: Longitudinal assessment of interstitial lung abnormalities on CT in patients with COPD using artificial intelligence-based segmentation: a prospective observational study

 

Discovery cohort

Validation cohort

n

234

 

153

 

Age, y

69.9

± 8.2

71.9

± 8.3

Sex, male

215

(91.9%)

142

(92.8%)

BMI, kg/m2

22.0

± 2.9

23.1

± 3.8

Pack-years

65.3

± 34.4

58.9

± 30.0

Smoking status, past

177

(75.6%)

111

(72.5%)

mMRC, ≥2

58

(24.8%)

37

(24.2%)

FVC, L

3.22

± 0.76

3.04

± 0.92

% predicted

93.2

± 16.7

87.4

± 21.9

FEV1, L

1.62

± 0.62

1.66

± 0.68

% predicted

60.4

± 19.6

62.4

± 23.1

FEV1/FVC, %

49.8

± 13.0

54.0

±12.0

Visual finding of ILAs

32

(13.7%)

15

(9.8%)

  1. Data are the mean ± standard deviation or the number of patients with percentage in parentheses. BMI body mass index; mMRC> modified British Medical Research Council Dyspnea scale; FVC forced vital capacity; FEV1, forced expiratory volume in 1 s; ILA interstitial lung abnormality
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BMC Pulmonary Medicine

ISSN: 1471-2466

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