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Table 4 Final logistic regression model considering all individuals enrolled at baseline

From: Chronic use of hydroxychloroquine did not protect against COVID-19 in a large cohort of patients with rheumatic diseases in Brazil

Variables

Binary analysis

Multivariate analysis

No symptoms

N = 7720

Clinically Confirmed COVID-19

N = 293

p

OR (95% CI)

P***

n (%)

n (%)

Age (y), mean (SD); med. (min–max.)

43.9 (15.2); 42 (18–98)

41.6 (13.0); 41 (18–90)

0.028*

0.989 (0.981; 0.997)

0.008

Group

     

Household cohabitants

3691 (47.8)

124 (42.3)

0.065**

1

-

RD patients

4029 (52.2)

169 (57.7)

 

1.10 (0.83; 1.46)

0.526

Sex

     

Women

5259 (68.2)

218 (75.4)

0.01**

1

-

Men

2450 (31.8)

71 (24.6)

 

0.71 (0.52; 0.98)

0.043

Schooling

     

Basic or illiterate

2110 (27.4)

64 (21.8)

0.091**

  

High school

3280 (42.6)

139 (47.4)

   

College

2317 (30.1)

90 (30.7)

   

Family in social distancing

4728 (61.3)

172 (58.9)

0.402**

  

Heart disease

398 (5.3)

17 (6)

0.570**

  

Diabetes

585 (7.7)

17 (6)

0.292**

  

Lung disease

367 (4.8)

21 (7.4)

0.048**

1.63 (1.03; 2.58)

0.038

Kidney disease

465 (6.1)

23 (8.2)

0.169**

  

Hypertension

2165 (28.6)

78 (27.7)

0.730**

  

Influenza vaccine within 30 last days

2138 (27.8)

63 (21.6)

0.022**

  
  1. Bold values indicate statistical significance (p < 0.05)
  2. Outcome is clinically confirmed COVID-19 diagnosis
  3. Y, years; SD, standard deviation; med., median; min., minimum; max., maximum
  4. *Mann–Whitney test; **Chi-square test; ***Wald test by final logistic regression model