Table 3 Logistic regression model on the association between different variables and the odds of hospital mortality before and during the COVID-19 pandemic
Factors | Crude OR | 95% C.I. | p value | Adjusted ORa | Adjusted 95% C.I.a | Adjusted p valuea |
|---|---|---|---|---|---|---|
Rare disease | ||||||
No (general population) | 1.00 | – | – | 1.00 | – | – |
Yes | 1.67 | 1.60–1.74 | < 0.001 | 2.06 | 1.98–2.16 | < 0.001 |
Age | ||||||
≤ 18 | 1.00 | – | – | 1.00 | – | – |
19–59 | 8.41 | 7.52–9.76 | < 0.001 | 8.61 | 7.42–9.99 | < 0.001 |
≥ 60 | 60.66 | 52.43–70.18 | < 0.001 | 62.24 | 53.79–72.01 | < 0.001 |
Time period | ||||||
Admitted one year before pandemic (2019) | 1.00 | – | – | 1.00 | – | – |
Admitted with COVID-19 infection during pandemic period (2020) | 0.44 | 0.36–0.55 | < 0.001 | 0.72 | 0.58–0.89 | 0.002 |
Admitted without COVID-19 infection during pandemic period (2020) | 1.26 | 1.24–1.29 | < 0.001 | 1.22 | 1.20–1.25 | < 0.001 |