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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.)