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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