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Table 3 Binary logistic regression analysis for CT/clinical parameters to predict PRISm from normal

From: Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics

 

OR (95% CI)

Coefficient (P)

Smoker

0.342 (0.122–0.957)

0.041

Inspiratory MLD

1.022 (1.008–1.036)

0.002

Lumen area

0.909 (0.827–1.000)

0.050

PRMfSAD

1.051 (1.004–1.100)

0.033

  1. Stepwise algorithm selected above parameters as predictors of the model (χ2 = 0.31, P < 0.001), OR (95% CI) = odds ratio (95% confidence interval)
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Respiratory Research

ISSN: 1465-993X

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