Clinical course, chest computed tomography severity score and outcome of coronavirus disease 2019 (COVID-19) in patients with rheumatic diseases

Aim of the work: To assess the clinical manifestations, imaging findings and outcomes of corona virus disease 2019 (COVID-19) in patients with rheumatic diseases. Patients and methods: In a three-center study, patients with rheumatic diseases who developed COVID-19 were included. Patients were classified into two groups, i) inflammatory arthritis including rheumatoid arthritis (RA), spondyloarthritis (SpA) and undifferentiated arthritis, ii) connective tissue diseases (CTDs) including systemic lupus erythematosus (SLE), vasculitis and others. COVID-19 outcomes were assessed based on chest computed tomography severity score (CT-ss), the level of care, the number of patients who died and flare of underlying rheumatic disease. Results: One hundred ninety-six patients with a mean age of 47.9 +/- 15.1 years, 73.5% female, were included. Underlying rheumatic diseases were RA (57.7%), SLE and other CTDs (17.9%), SpA (11.2%), vasculitis (11.2%) and undifferentiated arthritis (2%). Myalgia, malaise and fever were the most common clinical manifestations of COVID-19. Pneumonia on computerized tomography (CT), hospitalization, admission in intensive care unit and need to mechanical ventilation were observed in 75.5, 37.2%, 10.7% and 6.6% of patients, respectively. Treatment with nonsteroidal anti-inflammatory drugs (NSAIDs) and glucocorticoids, diabetes and underlying pulmonary disease were predictors of moderate to severe pneumonia and hospitalization. Fifteen (7.6%) patients died. Flare of underlying rheumatic disease occurred in 16.3% of patients. Flare of disease in patients with CTDs was significantly more than other rheumatic diseases. Conclusions: In rheumatic patients, treatment with NSAIDs or prednisolone, diabetes and pulmonary disease are risk factors of moderate to high CT-ss and hospitalization during COVID-19. (c) 2022 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).