Table 1.
COVID-19 patients characteristic and logistic model for mortality.
COVID-19 patients characteristic | First quartile | Second quartile | Third quartile | Fourth quartile |
---|---|---|---|---|
Number of patients | 284 | 445 | 167 | 54 |
Age, mean ± SD | 66 ± 14 | 64 ± 14 | 65 ± 17 | 65 ± 18 |
Male, n (%) | 213(75%) | 300 (67%) | 100 (60%) | 35 (65%) |
ICU, n (%) | 48 (17%) | 61 (14%) | 16 (10%) | 4 (7.4%) |
Age for ICU patients, mean ± SD | 60 ± 12 | 62 ± 9 | 60 ± 11 | 66 ± 19 |
Hospital stay over all, median (IQR) | 14 (8–25) | 14 (7–26) | 13 (7–27) | 17 (8–24) |
Hospital stay for survivors, median (IQR) | 15 (8–28) | 15 (8–27) | 14.5 (7–29) | 17 (8–23) |
Hospital stay for dead patients, median (IQR) | 12 (7–22) | 10 (5–20) | 13 (5–22) | 24 (24–24) |
First data quartile | 25/02/2020 | 16/03/2020 | 05/04/2020 | 24/04/2020 |
Last data quartile |
15/03/2020 |
04/04/2020 |
23/04/2020 |
13/05/2020 |
Logistic model for mortality |
Odds Ratio |
P value |
95% Confidence Interval |
|
Age | 0.99 | <0.0001 | 0.99 | 0.99 |
Based on first quartile (ref) | ||||
Quartile 2 | 0.33 | <0.0001 | 0.24 | 0.46 |
Quartile 3 | 0.39 | <0.0001 | 0.25 | 0.61 |
Quartile 4 | 0.03 | 0.001 | 0.004 | 0.22 |