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Table 7 Baseline characteristics of the SP height-stratified classes in negative pre-BPTs

From: Clinical analysis of the “small plateau” sign on the flow-volume curve followed by deep learning automated recognition

Parameter

SP sign of negative pre-BPTs

(Flow A − Flow B) × 100/PEF ratio

(≤ 10%)

(N = 50)

(Flow A − Flow B) × 100/PEF ratio

(> 10% to ≤ 20%)

(N = 50)

(Flow A − Flow B) × 100/PEF ratio

(> 20% to ≤ 30%)

(N = 50)

(Flow A − Flow B) × 100/PEF ratio

(> 30%)

(N = 50)

P value

Age, years

39.1 ± 2.2

41.9 ± 2.2

40.6 ± 1.8

37.7 ± 2.0

.119

Sex, n (%)

    

.262

 Male

29 (58%)

16 (32%)

26 (52%)

13 (26%)

 

 Female

21 (42%)

34 (68%)

24 (48%)

37 (74%)

 

BMI, kg/m2

23.5 (21.1, 26.3)

23.1 (20.5, 25.3)

22.3 (19.8, 24.9)

21.3 (20.2, 24.6)

.156

FVC % predicted, %

104.9 ± 2.0

103.1 ± 1.8

103.6 ± 1.80

107.1 ± 1.8

.408

FEV1% predicted, %

100.9 ± 1.6

99.1 ± 1.6d

101.6 ± 1.4

106.4 ± 1.7b

.009

FEV1/FVC ratio

1.01 (0.94, 1.09)b,c,d

0.81 (0.79, 0.84)a

0.84 (0.80, 0.87)a

0.85 (0.81, 0.88)a

.000

  1. Data are presented as absolute numbers (percentages) in case of frequencies, median values, and quartiles in case of continuous parameters unless otherwise noted. Statistical comparisons based on percent predicted (pp) unless otherwise noted for pulmonary function test (PFT) values
  2. aP < 0.05; (Flow A − Flow B) × 100/PEF ratio ≤ 10% versus the remaining groups 
  3. bP < 0.05; (Flow A − Flow B) × 100/PEF ratio > 10% to ≤ 20% versus the remaining groups
  4. cP < 0.05; (Flow A − Flow B) × 100/PEF ratio > 20% to ≤ 30% versus the remaining groups
  5. dP < 0.05; (Flow A − Flow B) × 100/PEF ratio > 30% versus the remaining groups