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. 2021 Nov 9;284:114830. doi: 10.1016/j.jep.2021.114830

Table 2.

Changes in primary and secondary indicators from baseline to after three months of treatment a

Indicator
BFHX (N = 64) b
Placebo (N = 65) b
Least Squares Means Differences (95% CI)
P-valueb
No. of patientsc Baseline After 3 months of treatment Change No. of patientsc Baseline 3 months after treatment Change
Primary indicator
 Chest CT Indexes
 Volume of total lung lesions (cm³) 53 31.5 ± 120.5 14.3 ± 32.1 -19.2 ± 96.4 51 15.1 ± 39.4 29.2 ± 75.4 15.1 ± 47.5 -34.0 (-63.5 to -4.6) 0.0243
 Volume of the ground-glass opacities (cm³) 53 29.3 ± 115.4 13.2 ± 30.6 -18.3 ± 92.0 51 14.2 ± 38.2 23.9 ± 71.4 10.5 ± 42.4 -32.6 (-60.7 to -4.5) 0.0444
 Volume of the consolidations (cm³) 53 1.8 ± 34.4 1.1 ± 2.3 -0.9 ± 4.7 51 1.0 ± 1.6 2.0 ± 4.1 1.1 ± 3.4 -1.4 (-2.6 to -0.1) 0.0188
 6-Min Walk Distance (m) 58 427.3 ± 73.6 475.6 ± 63.7 45.3 ± 62.4 60 435.0 ± 73.3 445.5 ± 69.1 10.1 ± 59.4 34.2 (11.7–56.8) 0.0022
Secondary indicator
 Fatigue Assessment Inventory 58 119.1 ± 26.2 85.5 ± 27.6 -31.2 ± 27.0 60 112.9 ± 31.6 100.4 ± 25.7 -12.5 ± 36.1 -17.8 (-29.5 to -6.2) 0.0019
 Total SGRQ 58 16.0 ± 12.1 3.2 ± 2.9 -12.0 ± 10.9 60 14.0 ± 10.1 4.5 ± 4.2 -9.1 ± 8.6 -2.4 (-5.8 to 1.0) 0.1148
 Part 1 SGRQ 58 4.0 ± 4.3 0.5 ± 0.9 -3.2 ± 4.0 60 3.8 ± 4.0 0.5 ± 1.1 -3.4 ± 4.1 0.3 (-1.2 to 1.7) 0.8310
 Part 2 SGRQ 58 9.3 ± 8.0 1.4 ± 2.4 -7.5 ± 7.1 60 7.5 ± 6.5 2.3 ± 3.3 -4.9 ± 4.9 -2.2 (-4.4 to -0.1) 0.0234
 Borg Dyspnea score 58 2.1 ± 1.3 0.7 ± 1.2 -1.3 ± 0.9 60 2.1 ± 1.2 0.9 ± 1.4 -1.2 ± 1.3 -0.1 (-0.5 to 0.2) 0.4801
 Chinese medicine symptom complex score 58 4.3 ± 2.5 1.1 ± 1.7 -3.1 ± 2.6 60 4.5 ± 2.8 0.9 ± 1.2 -3.4 ± 2.4 0.4 (-0.4 to 1.3) 0.4723

P-values were calculated for continuous outcomes with t-tests for the change from baseline to the last visit after three months of treatment; Fisher’ s exact test was performed for categorical outcomes.

a

Data are presented as the means ± standard deviations. The changes from baseline to the end of three months of treatment were arithmetic. N lrb% is the number of patients and percentage. The least squares mean difference was calculated by analysing the generalised linear regression model with site as a confounder.

b

Total patients are allocated to the intention-to-treat population.

c

No. of patients observed at end of three months of treatment.