Table 1. Demographic and medical characteristic of the cohort.
| Variable | 2019 | 2020 | Overall | p.value |
|---|---|---|---|---|
| (N = 102) | (N = 79) | (N = 181) | ||
| Age | 0.778 | |||
| Count | 102 | 79 | 181 | |
| Mean (SD) | 84.04 (9.24) | 83.63 (9.89) | 83.86 (9.51) | |
| Sex | 0.353 | |||
| Count (Row %) | 102 | 79 | 181 | |
| female (Col %) | 76 (75%) | 53 (67%) | 129 (71%) | |
| Month | 0.038 | |||
| Count (Row %) | 102 | 79 | 181 | |
| February (Col %) | 35 (34%) | 31 (39%) | 66 (36%) | |
| March (Col %) | 29 (28%) | 32 (41%) | 61 (34%) | |
| April (Col %) | 38 (37%) | 16 (20%) | 54 (30%) | |
| Nonoperatively treates | 0.09 | |||
| Count (Row %) | 102 | 79 | 181 | |
| yes (Col %) | 3 (3%) | 8 (10%) | 11 (6%) | |
| Charlson | 0.789 | |||
| Count | 98 | 73 | 171 | |
| Mean (SD) | 6.18 (2.26) | 6.08 (2.59) | 6.14 (2.40) | |
| Missing | 4 | 6 | 10 | |
| IADL | 0.694 | |||
| Count | 75 | 44 | 119 | |
| Mean (SD) | 1.83 (1.57) | 1.98 (2.10) | 1.89 (1.77) | |
| Missing | 27 | 35 | 62 | |
| ADL | 0.217 | |||
| Count | 83 | 53 | 136 | |
| Mean (SD) | 4.58 (1.78) | 4.96 (1.70) | 4.73 (1.75) | |
| Missing | 19 | 24 | 43 | |
| Habitation | 0.506 | |||
| Count (Row %) | 102 | 78 | 180 | |
| institution (Col %) | 16 (16%) | 13 (17%) | 29 (16%) | |
| home (Col %) | 86 (84%) | 64 (82%) | 150 (83%) | |
| Missing | 0 | 1 | 1 | |
| Dementia | 0.468 | |||
| Count (Row %) | 102 | 78 | 180 | |
| yes (Col %) | 44 (43%) | 31 (40%) | 75 (42%) | |
| Missing | 0 | 1 | 1 | |
| COVID infection | <0.001 | |||
| Count (Row %) | 102 | 79 | 181 | |
| yes (Col %) | 0 (0%) | 19 (24%) | 19 (10%) | |
| Death | 0.416 | |||
| Count (Row %) | 102 | 79 | 181 | |
| yes (Col %) | 16 (16%) | 17 (22%) | 33 (18%) | |
| Death by 30 days | 0.014 | |||
| Count (Row %) | 102 | 79 | 181 | |
| yes (Col %) | 3 (3%) | 11 (14%) | 14 (8%) | |
The difference between the two time periods was assessed using Student t’s test for continuous variables or chi-squared test for categorical variables.