Table 4.
Binary logistic regression for mortality and SARS-CoV-2 postoperative infection.
| Binary logistic regression for mortality | |||
| Variables | OR | 95% CI | P value |
| Age* | 1.05* | 1.034 to 1.068 | <0.001 |
| Community COVID-19 incidence (cases/105 people/week)* | 1.006* | 1.002 to 1.009 | <0.001 |
| SARS-CoV-2 perioperative infection | 4.7 | 1.81 to 12.1 | <0.001 |
| Postoperative neurological worsening | 5.9 | 3.27 to 10.66 | <0.001 |
| GCS 3–8 | 2.82 | 1.34 to 5.94 | 0.006 |
| Postoperative airway support | 5.38 | 2.81 to 10.3 | <0.001 |
| ASA grade ≥3 | 2.5 | 1.31 to 4.79 | 0.005 |
| Nagelkerke R square=0.338 | |||
| Binary logistic regression for postoperative SARS-CoV-2 infection | |||
| Community COVID-19 incidence (cases/105 people/week)* | 1.013* | 1.008 to 1.018 | <0.001 |
| Screening swab test <72 hours preoperatively | 0.098 | 0.012 to 0.778 | 0.028 |
| Preoperative cognitive impairment | 2.784 | 1.037 to 7.471 | 0.042 |
| Postoperative sepsis | 3.807 | 0.968 to 14.976 | 0.056 |
| No postoperative complications | 0.188 | 0.068 to 0.521 | 0.001 |
| Nagelkerke R square=0.351 | |||
The OR, 95% CI and level of significance (P) are provided for each variable, as well as the constant of the model and the Nagelkerke R square.
*OR provided per unit increase.
ASA, American Society of Anesthesiologists; GCS, Glasgow Coma Scale.