| Literature DB >> 34052904 |
Behnaz Yousefghahari1, Sanaz Navari2, Mahmoud Sadeghi3, Shima Soleimaniamiri4, Mohammadjafar Soleimaniamiri4, Behzad Heidari3, Mansour Babaei3, Kian Ghodrati5, Ardeshir Guran6, Hemmat Gholinia3.
Abstract
BACKGROUND ANDEntities:
Keywords: COVID-19; Disease-modifying anti-rheumatic drugs; Hydroxychloroquine; Infection risk; Rheumatic patients
Mesh:
Substances:
Year: 2021 PMID: 34052904 PMCID: PMC8164488 DOI: 10.1007/s10067-021-05779-4
Source DB: PubMed Journal: Clin Rheumatol ISSN: 0770-3198 Impact factor: 2.980
Characteristics of the study population with rheumatic diseases
| Variables | |
|---|---|
| Age > 50 years | 479 (59.5) |
| Obesity (BMI ≥ 30 kg/m2) | 206 (25.8) |
| Diabetes | 94 (11.8) |
| Hypertension | 56 (7) |
| History of cardiovascular disease | 30 (3.8) |
| History of respiratory disease | 58 (7.3) |
| Rheumatic diseases | |
| Rheumatoid arthritis | 473 (59.1) |
| Systemic lupus erythematosus | 110 (13.8) |
| Other diseases (PSA, SS, PM,DM, SCL) | 217 (27.1) |
| Medications | |
| Hydroxychloroquine | 430 (46.3) |
| Methotrexate | 467 (58.4) |
| Prednisolone | 716 (89.4) |
| Leflunomide | 176 (22.4) |
| Anti-TNF drugs | 81 (10.1) |
| Other medications | 59 (7.4) |
| Duration of treatment with DMARDs, months, median (range) | 24 (8–110) |
PSA psoriatic arthritis, SS Sjogren syndrome, PM polymyositis, DM dermatomysitis, SCL scleroderma,
DMARDs disease-modifying anti-rheumatic drugs
Distribution of demographic features and self-reported symptoms in 73 patients with symptomatic COVID-19 infection
| Demographic features or symptoms | |
|---|---|
| Age > 50 years | 45 (61.6) |
| Fever and chills | 57 (78.1) |
| Myalgia | 15 (20.5) |
| Gastrointestinal symptoms | 25 (34.2) |
| Headache | 12 (16.4) |
| Olfactory or taste disorders | 20 (27.4) |
| Respiratory symptoms | 58 (79.2) |
| Obesity (BMI ≥ 30 kg/m2) | 30 (41.7) |
| PCR positivity | 12 (16.4) |
| Serum IgG positivity | 3 (4.1) |
| Increased C-reactive protein or ESR | 3 (4.1) |
| Compatible findings in lung CT scan | 41 (56) |
| Number of hospitalizations | 31 (23) |
| Family contact with a known case | 44 (60.2) |
| Diabetes | 13 (18.1) |
| Hypertension | 9(12.5) |
| Cardiovascular diseases | 2(2.8) |
Distribution of COVID-19 infection in rheumatic diseases treated with and without hydroxychloroquine
| Variable | Hydroxychloroquine − ( | Hydroxychloroquine + (n = 430) | |
|---|---|---|---|
| COVID-19 infection ( | 67 (18.1%) | 68 (15.3) | 0.27 |
Association between pre-exposurea hydroxychloroquine (HCQ) treatment and acquisition of COVID-19 in rheumatic patients taking disease-modifying anti-rheumatic drugs
| Predictors | OR (95% CI) | Adjusted OR (95% CI) |
|---|---|---|
| HCQ | 0.89 (0.62–1.28) | 0.76 (0.41–1.38) |
| Prednisolone | 0.75 (0.43–1.31) | 0.76 (0.23–2.5) |
| Methotrexate | 1.01 (0.69–1.46) | 1.16 (0.56–2.41) |
| Anti-TNF drugs | 63 (32–1.27) | 0.58 (0.18–1.84) |
| Leflunomide | 1.93 (1.29–2.89) | 1.95 (1.08–3.5) |
| Other drugs | 72 (33–1.56) | 0.64 (0.079–5.22) |
| Age > 50 years | 1.30 (89–1.90) | 0.86 (0.43–1.74) |
| Obesity (BMI ≥ 30 kg/m2) | 1.74 (1.17–2.57) | 1.11 (0.60–2.05) |
| Diabetes | 1.43 (0.84–2.41) | 1.17 (0.54–2.54) |
| Hypertension | 1.17 (59–2.33) | 0.72 (0.24–2.14) |
| Cardiovascular disease | 1.46 (0.61–3.49) | 1.82 (0.57–5.87) |
| Household contact with a known COVID-19 case | 41.6 (19.07–90.01) | 38.6 (14.39–103.8) |
The association was determined using multiple logistic regression analysis with calculation of OR and 95% CI after adjustment for all covariates including drugs, demographic and epidemiological factors
aInitiation of treatment several months prior to COVID-19 outbreak
Key points |