Table 3 Univariate and Multivariate logistic regression analysis
From: CT-based whole lung radiomics nomogram for identification of PRISm from non-COPD subjects
Variable | Univariate logistic regression | Multivariate logistic regression (Clinical model) | Multivariate logistic regression (Radiomics nomogram) | ||||||
|---|---|---|---|---|---|---|---|---|---|
OR | 95%CI | P value | OR | 95%CI | P value | OR | 95%CI | P value | |
Age | 1.03 | 1.02–1.04 | < 0.001 | 1.03 | 1.01–1.04 | < 0.001 | 1.01 | 1.00-1.03 | 0.059 |
Height | 1.03 | 1.01–1.05 | < 0.001 |  |  |  |  |  |  |
Weight | 1.04 | 1.02–1.05 | < 0.001 |  |  |  |  |  |  |
BMI | 1.10 | 1.06–1.14 | < 0.001 | 1.08 | 1.04–1.13 | < 0.001 | 1.02 | 0.98–1.07 | 0.37 |
Smoking | 0.76 | 0.64–0.90 | 0.002 |  |  |  |  |  |  |
Gender | 0.43 | 0.32–0.57 | < 0.001 | 0.48 | 0.36–0.65 | < 0.001 | 0.64 | 0.46–0.89 | 0.008 |
Radscore | 2.99 | 2.49–3.58 | < 0.001 | - | - | - | 2.71 | 2.25–3.26 | < 0.001 |