Results of the univariate and multivariate logistic regression analyses for diagnosing lung cancer
| Variable | Univariate analysis | Multivariate analysis | β# |
| Sex | 2.01 (1.26–3.20) | 1.42 (0.76–2.58) | 0.34 |
| Age | 1.08 (1.05–1.11) | 1.05 (1.02–1.09) | 0.05 |
| BMI | 0.99 (0.94–1.04) | − | |
| Smoking status | − | ||
| Current smoker | 17.49 (6.79–45.06) | ||
| Ex-smoker | 7.56 (3.23–17.69) | ||
| Never smoked | Ref. | ||
| Smoking exposure pack-years | |||
| 0 | Ref. | Ref. | |
| 1–20 | 3.88 (1.56–9.65) | 3.48 (1.25–9.66) | 1.25 |
| 21–40 | 14.77 (5.89–37.04) | 10.20 (3.66–28.46) | 2.32 |
| >40 | 19.36 (7.36–50.91) | 11.69 (4.04–33.87) | 2.46 |
| COPD | 4.90 (2.80–8.58) | 2.29 (1.18–4.43) | 0.83 |
| Diabetes mellitus | 0.70 (0.30–1.64) | − | |
| Aeonose classification value [13] | 24.20 (9.71–60.33) | 12.67 (4.48–35.83) | 2.54 |
Data are presented as odds ratio (95% confidence interval) unless otherwise stated. β: regression coefficient. BMI: body mass index; −: not added to the multivariate model. #: constant −5.54.