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Table 2 Univariable and multivariable logistic regression analysis

From: CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD

Variable

Univariable analysis

Multivariable analysis (clinical model parameters)

Multivariable analysis (combined model parameters)

OR (95%CI)

P-value

OR (95%CI)

P-value

OR (95%CI)

P-value

Age

1.059 (1.046–1.072)

 < 0.001

1.074 (1.059–1.089)

 < 0.001

1.025 (1.007–1.043)

0.007

Sex

0.352 (0.276–0.447)

 < 0.001

0.663 (0.459–0.957)

    0.028

1.839 (1.151–2.937)

0.011

Height

1.034 (1.021–1.047)

 < 0.001

1.029 (1.010–1.050)

    0.003

1.022 (0.999–1.045)

0.061

Weight

1.012 (1.002–1.022)

    0.014

–

–

–

–

BMI

0.986 (0.967–1.006)

    0.166

–

–

–

–

Smoking

0.599 (0.516–0.695)

 < 0.001

0.660 (0.554–0.785)

 < 0.001

0.662 (0.531–0.826)

 < 0.001

Radscore

2.862 (2.511–3.263)

 < 0.001

–

–

2.789 (2.410–3.227)

 < 0.001

  1. BMI body mass index, OR odds ratios, CI confidence interval