Table 3 Multivariable binary logistic regression model to predict death “with” COVID-19.
OR | 95%CI | p | |
---|---|---|---|
Age | 0.98 | 0.95–0.99 | 0.016 |
Female gender | 0.99 | 0.67–1.46 | 0.965 |
Solid organ cancer | 0.89 | 0.44–1.81 | 0.746 |
Liver disease | 3.32 | 1.02–10.85 | 0.047 |
Age adjusted Charlson | 1.23 | 0.69–2.18 | 0.490 |
Immunosuppression | 1.19 | 1.02–1.38 | 0.027 |
Vaccination status | |||
Unvaccinated/partially | ref | ref | ref |
Fully | 1.17 | 0.7–1.95 | 0.553 |
Boosted | 1.03 | 0.67–1.58 | 0.906 |
Hospital transmission | 2.3 | 1.39–3.81 | 0.001 |
Signs and symptoms | 0.2 | 0.11–0.37 | < 0.001 |