Table 4 Bivariate analysis of hospital treatment according to the development of severe disease and status at discharge.

From: Prognosis of COVID-19 pneumonia can be early predicted combining Age-adjusted Charlson Comorbidity Index, CRB score and baseline oxygen saturation

Variables

Disease severity

Vital status at discharge

Moderate

Severe

p-value

Alive

Dead

p-value

n: 288

n: 104

 

n: 340

n: 52

Corticosteroids (n: 385)

34 (12%)

73 (70%)

 < 0.001

75 (23%)

32 (62%)

 < 0.001

Hydroxychloroquine (n: 387)

263 (93%)

93 (90%)

0.459

315 (94%)

41 (80%)

 < 0.001

Lopinavir/ ritonavir (n: 387)

223 (79%)

85 (83%)

0.388

271 (81%)

37 (73%)

0.181

Interferon (n: 386)

24 (8%)

44 (43%)

 < 0.001

54 (16%)

14 (27%)

0.048

Tocilizumab (n: 383)

0 (0%)

44 (43%)

 < 0.001

28 (8%)

16 (31%)

 < 0.001

High flow nasal prongs(n: 385)

0 (0%)

18 (18%)

 < 0.001

9 (3%)

9 (18%)

 < 0.001

Non-invasive ventilation (n: 387)

7 (2%)

13 (13%)

 < 0.001

15 (4%)

5 (10%)

0.119

Invasive ventilation (n: 386)

0 (0%)

36 (35%)

 < 0.001

20 (6%)

16 (31%)

 < 0.001

  1. In each variable, total number of valid data is specified in the first column. In each outcome, absolute frequency, percentage by outcome and p-values for the comparation of moderate vs severe disease and alive vs dead at discharge are shown. In bold and italic those associations that are statistically significant.
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