Skip to main content

Table 2 Relationship between pulmonary function parameters and the presence of obstruction in multiple logistic regression with stepwise selection

From: Airways resistance and specific conductance for the diagnosis of obstructive airways diseases

Variables Odds Ratio (95 % Confidence limit) p value
1.   
sGAW, %predicted 0.996 (0.994–0.998) 0.0003
MEF75, %predicted 0.980 (0.972–0.988) <0.0001
FEV1/FVC 0.936 (0.912–0.960) <0.0001
2.   
TLC, %predicted 1.058 (1.043–1.075) <.0001
sGAW, %predicted 0.997 (0.995–0.999) 0.0031
MMEF, %predicted 0.987 (0.978–0.996) 0.0108
MEF75, %predicted 0.979 (0.969–0.988) <.0001
FEV1, %predicted 0.970 (0.955–0.986) <.0001
  1. 1/ Variables of spirometry and resistance (initial model1: FVC, %pred, FEV1, %pred, FEV1/FVC, MEF75, %pred, MEF50, %pred, MEF25, %pred, MMEF, %pred, PEF, %pred. RAW, %pred. and sGAW, %pred.); 2/ added variables of lung volumes (initial model2: model1, TLC, %pred, RV, %pred, FRC, %pred.); Adding variables of diffusion capacity (initial model3: model2, DLCO, %pred, KCO, %pred.) resulted in same values as model2