Skip to main content

Table 1 Baseline Characteristics of IPF patients and controls in training cohort

From: Constructing an extracellular matrix-related prognostic model for idiopathic pulmonary fibrosis based on machine learning

Characteristics

Freiburg cohort (n = 62)

Siena cohort (n = 50)

Control cohort (n = 20)

Age, yr

67.4 ± 9.1

68.7 ± 11.2

61.9 ± 7.6

Male sex, %

85

80

75

FVC % predicted value, %

66 ± 20

67 ± 23

96 ± 19

DLCO

 Percent predicted value, %

44 ± 16

40 ± 15

 Could not perform DlCO, n

7

12

Deaths, n (%)

45 (73)

31 (62)

Transplants, n (%)

3 (5)

4 (8)

Median observation time, mo

20

16

Smoking status, %

 Never smoked

42

34

30

 Former smoker

56

64

70

 Current smoker

2

2

0

HRCT UIP, n (%)

 Definite

43 (69)

38 (76)

 Possible

19 (31)

12 (24)

HRCT emphysema present, n

5 (8)

3 (6)

GAP index, n (%)

 Stage I

17 (27)

14 (28)

 Stage II

32 (52)

20 (40)

 Stage III

13 (21)

16 (32)

  1. Abbreviations: HRCT high-resolution computed tomography, IPF idiopathic pulmonary fibrosis, UIP usual interstitial pneumonia. Data are mean ± SD unless otherwise indicated