Skip to main content

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