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Table 2 Binary logistic regression analysis of the outcome of the COVID-19 patients with significantly related independent variables

From: Prevalence and outcome of chronic hepatitis C patients admitted with COVID-19 to intensive care units: a blessing in disguise

Variables

B

S.E.

Wald

P

Odds Ratio

95% CI

Old age

0.07

0.01

69.3

< 0.001**

8.07

2.05–21.09

Severity of COVID-19 at admission

2.9

1.4

8.2

< 0.001**

6.17

2.26–10.21

Comorbidities:

      

 Diabetes mellitus

− 0.11

0.23

0.21

0.6

0.90

0.57–1.41

 Hypertension

− 0.11

0.24

0.20

0.7

0.90

0.56–1.44

 Ischemic heart disease

0.18

0.33

0.30

0.6

1.20

0.63–2.28

 Chronic liver disease

1.0

0.39

6.8

0.009*

2.78

1.29–5.98

 Malignancy

1.0

0.44

5.1

0.02*

2.72

1.14–6.46

 Chronic kidney disease

1.3

0.51

6.8

0.009*

3.79

1.39–10.36

 Organ transplantation

0.85

1.2

0.47

0.5

2.33

0.21–26.32

Respiratory symptoms at presentation

− 3.7

1.3

7.8

0.005*

0.03

0.002–0.34

Neuropsychiatric symptoms at presentation

2.4

1.2

3.8

0.05*

9.7

1.1–13.3

Long length of stay

− 0.29

0.13

4.9

0.03*

0.75

0.58–0.97

Mechanical ventilation days

− 0.12

0.27

0.25

0.5

0.89

0.58–1.39

Mechanical ventilation

1.1

0.41

7.2

< 0.001**

2.89

1.31–6.71

Drug therapy:

      

 Iverzine

− 0.96

0.25

14.5

< 0.001**

0.38

0.23–0.63

 Tocilizumab

2.0

0.27

57.9

< 0.001**

7.68

4.54–12.98

 Remdesivir

1.6

0.30

28.1

< 0.001**

4.85

2.70–8.69

 Favipiravir

− 0.03

0.32

0.01

0.9

0.97

0.52–1.81

 Plaquenil

− 0.98

0.56

3.1

0.08

0.38

0.13–1.13

 Colchicine

0.86

0.45

3.7

0.06

2.35

0.98–5.64

 Pirfenex

0.60

0.56

1.1

0.3

1.83

0.61–5.51

 Anti-fungal

0.78

0.51

2.4

0.1

2.18

0.81–5.89

  1. S.E. standard error, CI confidence interval, P all the factors that were significantly associated with outcome were run in a binary logistic regression model
  2. *Statistically significant
  3. **Statistically highly significant