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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
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Respiratory Research

ISSN: 1465-993X

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