ABSTRACT
OBJECTIVES: To evaluate risk factors for severe Coronavirus Disease 2019 (COVID-19) in patients with immune-mediated rheumatic diseases, stratified by systemic autoimmune conditions and chronic inflammatory arthritis. METHODS: An observational, cross-sectional multicenter study was performed. Patients from 10 Rheumatology departments in Madrid who presented with SARS-CoV-2 infection between Feb 2020 and May 2021 were included. The main outcome was COVID-19 severity (hospital admission or mortality). Risk factors for severity were estimated, adjusting for covariates (sociodemographic, clinical and treatments), using logistic regression analyses. RESULTS: 523 patients with COVID-19 were included, among whom 192 (35.6%) patients required hospital admission and 38 (7.3%) died. Male gender, older age and comorbidities such as diabetes mellitus, hypertension and obesity were associated with severe COVID-19. Corticosteroid doses over 10 mg/day, rituximab, sulfasalazine and mycophenolate use, were independently associated with worse outcomes. COVID-19 severity decreased over the different pandemic waves. Mortality was higher in the systemic autoimmune conditions (univariate analysis, p<0.001), although there were no differences in overall severity in the multivariate analysis. CONCLUSIONS: This study confirms and provides new insights regarding the harmful effects of corticosteroids, rituximab and other therapies (mycophenolate and sulfasalazine) in COVID-19. Methotrexate and anti-TNF therapy were not associated with worse outcomes.
ABSTRACT
OBJECTIVES: To analyse the effect of targeted therapies, either biological (b) disease-modifying antirheumatic drugs (DMARDs), targeted synthetic (ts) DMARDs and other factors (demographics, comorbidities or COVID-19 symptoms) on the risk of COVID-19 related hospitalisation in patients with inflammatory rheumatic diseases. METHODS: The COVIDSER study is an observational cohort including 7782 patients with inflammatory rheumatic diseases. Multivariable logistic regression was used to estimate ORs and 95% CIs of hospitalisation. Antirheumatic medication taken immediately prior to infection, demographic characteristics, rheumatic disease diagnosis, comorbidities and COVID-19 symptoms were analysed. RESULTS: A total of 426 cases of symptomatic COVID-19 from 1 March 2020 to 13 April 2021 were included in the analyses: 106 (24.9%) were hospitalised and 19 (4.4%) died. In multivariate-adjusted models, bDMARDs and tsDMARDs in combination were not associated with hospitalisation compared with conventional synthetic DMARDs (OR 0.55, 95% CI 0.24 to 1.25 of b/tsDMARDs, p=0.15). Tumour necrosis factor inhibitors (TNF-i) were associated with a reduced likelihood of hospitalisation (OR 0.32, 95% CI 0.12 to 0.82, p=0.018), whereas rituximab showed a tendency to an increased risk of hospitalisation (OR 4.85, 95% CI 0.86 to 27.2). Glucocorticoid use was not associated with hospitalisation (OR 1.69, 95% CI 0.81 to 3.55). A mix of sociodemographic factors, comorbidities and COVID-19 symptoms contribute to patients' hospitalisation. CONCLUSIONS: The use of targeted therapies as a group is not associated with COVID-19 severity, except for rituximab, which shows a trend towards an increased risk of hospitalisation, while TNF-i was associated with decreased odds of hospitalisation in patients with rheumatic disease. Other factors like age, male gender, comorbidities and COVID-19 symptoms do play a role.