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Table 4 Relationship between pulmonary function parameters and the presence of asthma in multiple logistic regression with stepwise selection (subjects with obstructive diseases only)

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

Variables Odds Ratio (95 % Confidence limit) p value
1.   
FEV1/FVC 1.043 (1.012–1.074) <0.0001
MEF25, %predicted 1.024 (1.010–1.038) 0.0024
PEF, %predicted 1.018 (1.006–1.030) 0.0088
RAW, %predicted 1.002 (1.000–1.004) 0.0320
2.   
FEV1, %predicted 1.029 (1.013–1.046) <.0001
MEF25, %predicted 1.022 (1.010–1.035) 0.0015
RAW, %predicted 1.002 (1.000–1.004) 0.0287
FRC, %predicted 0.981 (0.973–0.989) <.0001
3.   
DLCO, %predicted 1.071 (1.051–1.090) <.0001
FEV1/FVC 1.051 (1.024–1.078) <.0001
TLC, %predicted 1.040 (1.014–1.067) 0.0021
FRC, %predicted 0.970 (0.956–0.984) 0.0041
  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.); 3/ added variables of diffusion capacity (initial model3: model2,DLCO, %pred, KCO, %pred.)