Table 7. Two-factor logistic regression model for survival prediction.
| Variable | β | SE | OR | 95% CI for OR | p value |
|---|---|---|---|---|---|
| Age (years) | -0.082 | 0.029 | 0.921 | 0.863–0.979 | 0.004 |
| pO2 (%) | 0.188 | 0.061 | 1.207 | 1.085–1.390 | 0.002 |
| Intercept | -9.902 | 5.181 | - | - | 0.056 |
| ROC | AUC | SE | 95% CI | p value | |
| 0.857 | 0.05 | 0.752–0.963 | <0.0001 | ||
| Characteristics* | Sensitivity | Specificity | Positive PV | Negative PV | Accuracy |
| 98% | 53% | 89% | 89% | 89% | |
| Log-likelihood ratio test | Statistic | p value | |||
| 25.71 | <0.0001 |
Abbreviations: CI, confidence interval; OR, odds ratio; SE, standard error; ROC, receiver operating curve. *Model characters in predicting survival in obtained dataset, not validated with testing dataset.