Table 2.
Sex-specific impact of the lockdown on case acuity and mean age
| Sex | Acuity | Number of cases | Age | |||||
| Prelockdown | Lockdown | Δ (%) | P value | Prelockdown | Lockdown | P value | ||
| Female | A0 | 239 (42%) | 126 (33%) | -47 | 0.009 | 53.7±22.3 | 56.2±20.8 | >0.05 |
| A1 | 223 (39%) | 160 (41%) | -28 | 65.5±18.9 | 63.6±21.9 | |||
| A2 | 77 (14%) | 73 (19%) | -5 | 68.6±19.6 | 70.3±18.3* | |||
| Missing | 26 (5%) | 27 (7%) | +4 | – | – | |||
| Sum | 565 (100%) | 386 (100%) | -32 | 0.025 | – | – | ||
| Male | A0 | 220 (37%) | 167 (33%) | -24 | 0.05 | 56.2±20.6 | 55.3±20.2 | >0.05 |
| A1 | 251 (42%) | 251 (50%) | 0 | 64.3±18.7 | 64.6±18.3 | |||
| A2 | 100 (17%) | 70 (14%) | -30 | 64.7±20.1 | 64.7±18.0* | |||
| Missing | 22 (4%) | 10 (3%) | -54 | – | – | |||
| Sum | 593 (100%) | 498 (100%) | 16 | 0.025 | – | – | ||
Sex-specific case acuity regarding to the number of cases and the patients’ age, including not acute (A0), subacute (A1) and acute cases (A2), stratified for the period of time (prelockdown in 2019 vs lockdown in 2020). The inter sex difference of age within the A2 group became highly significant by using the Kruskal-Wallis test (p<0.001; marked with asterisks*). Differences (in %) between the prelockdown and the lockdown period were depicted as Δ (delta). The bold numbers indicate significant values.
*p<0.001.