Table I.
Parameters | SLE patients (n = 200) n (%) |
---|---|
Sociodemographic parameters | |
Age [years] | 30.1 ±8.4 |
Gender (female) | 180 (90) |
Residence | |
Urban | 172 (86) |
Rural | 28 (14) |
Education level | |
Low | 14 (7) |
Moderate | 38 (19) |
High | 148 (74) |
Economic class | |
Low | 18 (9) |
Medium | 160 (80) |
High | 22 (11) |
Special habits | |
Tea/coffee | 120 (60) |
Smoking | 16 (8) |
Alcohol | 4 (2) |
Addiction | 2 (1) |
Lupus activity (SLEDAI) | |
Inactive | 130 (65) |
Mild | 34 (17) |
Moderate | 31 (16) |
Severe | 5 (3) |
Health status during COVID-19 pandemic parameters | |
Medications used | |
Corticosteroids | 174 (87) |
CQ/HCQ | 140 (70) |
Azathioprine | 10 (5) |
Cyclosporine | 62 (31) |
Mycophenolate mofetil | 174 (87) |
Methotrexate | 2 (1) |
Leflunomide | 6 (3) |
Intravenous immunoglobulin | 4 (2) |
Rituximab | 4 (2) |
Mode of obtaining medications | |
Self-payment | 152 (76) |
Medical insurance | 42 (21) |
Governmental supply | 12 (6) |
Regularity of drug intake | 180 (90) |
Difficulty to obtain the drug | 140 (70) |
Corticosteroids | 8 (4) |
Azathioprine | 12 (6) |
Mycophenolate mofetil | 8 (4) |
CQ/HCQ | 120 (60) |
Disease affected by drug shortage | 96 (48) |
Regular contact with the rheumatologist | 174 (87) |
Modes of remote contact | 110 (55) |
Phone | 76 (38) |
94 (47) | |
Messenger | 24 (12) |
Telegram | 2 (1) |
Physician’s website/page | 6 (3) |
Associated diseases/comorbidities | |
Diabetes mellitus | 4 (2) |
Hypertension | 26 (13) |
Cardiovascular | 6 (3) |
Chest problems | 12 (6) |
Renal problems | 22 (11) |
Hepatic problems | 2 (1) |
Allergy problems | 10 (5) |
CQ/HCQ – hydroxychloroquine, SLE – systemic lupus erythematosus, SLEDAI – Systemic Lupus Disease Activity Index. All parameters are described as number (percent), except age, which is described as mean ± SD.