Table 3.
Logistic Regression Prediction Model With Log-Transformed Pro-SFTPB Predicting Lung Cancer in the Pan-Canadian Early Detection of Lung Cancer Study (n = 2,233)
| Predictor Variables | OR | 95% CI | P | Beta Coefficients |
|---|---|---|---|---|
| Age (per year) | 1.023 | 0.978 to 1.070 | .326 | 0.0226304 |
| Sex (male v female) | 0.592 | 0.391 to 0.897 | .013 | −.5239236 |
| BMI (kg/m2) | 0.957 | 0.912 to 1.005 | .077 | −.0439466 |
| Personal history of cancer (yes v no) | 1.379 | 0.684 to 2.780 | .369 | 0.3215962 |
| Pneumonia (yes v no) | 1.341 | 0.876 to 2.055 | .177 | 0.2936113 |
| Family history of cancer (yes v no) | 1.412 | 0.923 to 2.160 | .112 | 0.344805 |
| FEV1 ratio of predicted | 0.270 | 0.091 to 0.804 | .019 | −1.310217 |
| Cigarettes smoked per day | 1.010 | 0.991 to 1.030 | .292 | 0.0102629 |
| Smoking duration | 1.034 | 0.989 to 1.082 | .142 | 0.0336636 |
| Log-proSFTPB | 2.220 | 1.727 to 2.853 | < .001 | 0.7975728 |
| Model constant | −6.948646 |
Abbreviations: BMI, body mass index; FEV1 ratio of predicted, forced expiratory volume in one second % predicted; OR, odds ration; pro-SFTPB, pro–surfactant protein B.