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Table 4 Demographic and spirometric characteristics of the studied subjects

From: Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis

 

Control (n = 25)

Sarcoidosis and normal spirometry (n = 24)

Sarcoidosis and altered spirometry (n = 23)

ANOVA p

Age (years)

59.1 ± 10.5

48.6 ± 11.2

47.8 ± 11.2

ns

Body mass (kg)

67.6 ± 15.1

68.2 ± 13.2

73.4 ± 15.5

ns

Height (m)

1.6 ± 0.1

1.6 ± 0.1

1.7 ± 0.1

0.019

BMI (kg/m2)

26.7 ± 5.0

26.8 ± 5.2

26.3 ± 4.5

ns

Male/Female

6/19

5/19

9/14

–

FVC (L)

3.1 ± 0.9

3.1 ± 0.8

3.2 ± 1.4

ns

FVC (%)

100.2 ± 20.3

99.2 ± 18.1

86.2 ± 28.8

ns

FEV1 (L)

2.5 ± 0.7

2.5 ± 0.7

2.2 ± 0.9

ns

FEV1 (%)

100.0 ± 21.3

96.4 ± 17.8

74.5 ± 23.8

0.0001

FEV1/FVC

80.3 ± 6.5

80.6 ± 6.8

72.0 ± 8.5

0.0001

FEV1/FVC (%)

99.8 ± 7.1

97.8 ± 8.3

87.3 ± 9.6

0.0001

FEF25–75% (L)

2.7 ± 1.2

2.9 ± 1.1

1.7 ± 0.7

0.0003

FEF25–75% (%)

110.7 ± 45.9

96.6 ± 44.0

51.0 ± 19.6

0.0001