Table 1:

Baseline characteristics of patients with hospital-acquired and non-hospital-acquired SARS-CoV-2 infection

CharacteristicNo. (%)* of hospital-acquired cases
n = 253 (36.3%)
No. (%)* of non-hospital-acquired cases
n = 444 (63.7%)
p value
Age, yr, median (IQR)79 (68–86)73 (58.5–85)
Age, yr0.003
 < 7598 (38.7)231 (52.0)
 75–8471 (28.1)100 (22.5)
 ≥ 8584 (33.2)113 (25.5)
Female sex128 (50.6)228 (51.4)0.85
Comorbidity
 Moderate to severe chronic kidney disease35 (13.8)52 (11.7)0.42
 Solid tumour< 0.001
  Localized49 (19.4)39 (8.8)
  Metastatic28 (11.1)14 (3.2)
 Hematologic malignancy12 (4.7)10 (2.3)0.07
 Diabetes87 (34.4)156 (35.1)0.84
 COPD60 (23.7)65 (14.6)0.003
 Myocardial infarction18 (7.1)33 (7.4)0.91
 Dementia58 (22.9)101 (22.8)0.96
Charlson Comorbidity Index, median (IQR)2 (1–4)1 (0–3)
Provenance before admission§< 0.001
 Home180 (71.2)237 (53.4)
 Long-term care facility9 (3.6)49 (11.0)
 Others62 (24.4)160 (36.1)
Reason for admission< 0.001
 Infectious70 (27.9)7 (1.6)
 Nervous system38 (15.1)7 (1.6)
 Neoplasm37 (14.7)4 (0.9)
 Gastrointestinal21 (8.4)9 (2.0)
 Other85 (33.9)419 (93.9)
Deprivation index of 4 or 5150 (59.3)243 (54.7)0.16
Timing of diagnosis, d< 0.001
 0–662 (24.5)444 (100)
 7–1491 (36.0)0 (0)
 > 14100 (39.5)0 (0)
Treatment with corticosteroids46 (18.2)66 (14.9)0.25
Surgical procedure37 (14.6)13 (2.9)0.001
ICU admission21 (8.3)85 (19.1)< 0.001
 ICU admission within 7 days17 (81.0)74 (87.1)0.47
Mechanical ventilation9 (3.6)58 (13.0)0.001
  • Note: COPD = chronic obstructive pulmonary disease, ICU = intensive care unit, IQR = interquartile range, RPA = Résidence privée pour ainés (private residences for older adults).

  • * Unless stated otherwise.

  • Selected comorbidities from the Charlson Comorbidity Index.12

  • Moderate to severe chronic renal disease, defined as creatinine > 265 μmol/L, as defined in the Charlson Comorbidity Index.12

  • § Others: congregate living settings such as RPA, intermediate and family-type resources (IR-FTR), transfer from another hospital and rehabilitation.

  • The deprivation index is based on patient postal code and 2016 census data. Results of various indicators are aggregated to create a deprivation index to identify a deprived population. A score from 1 (least deprived) to 5 (most deprived) is calculated, with 4 and 5 signifying being deprived and most deprived.11