Abstract

BackgroundThe impact of COVID-19 on vulnerable populations with autoimmune inflammatory rheumatic diseases (AIIRDs) has been of great concern.ObjectivesThe aim is to report the clinical features, outcomes as well as risk factors of infection and hospitalization in Chinese AIIRDs patients during the big wave of infection last month.MethodsA real-world survey was conducted during the peak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) (8 December 2022 to 13 January 2023) in China. All patients completed the survey via internet or at the rheumatology inpatient and outpatient clinic of a tertiary hospital in Beijing with a medical diagnosis of AIIRDs. Clinical features, outcomes and risk factors of COVID-19 in AIIRDs were analyzed. The main outcome were SARS-CoV2 infection and hospital admission related to COVID-19. We apply the multivariable logistic regression model to assess risk factors for the infection and hospitalization.ResultsTotally 2005 patients with AIIRDs completed the survey. The leading AIIDs were systemic lupus erythematosus (SLE) (1039, 51.8%), rheumatoid arthritis (RA) (290, 14.5%) and Behcet’s disease (BD) (231, 11.5%). There were 1690 (84.3%) patients who were infected and 315 (15.7%) patients not infected. The independent factors protecting patients from COVID-19 infection were the time interval of less than 3 months from last vaccination (OR: 0.53; p=0.037) and RA as the underlying AIIRDs (OR: 0.62; p=0.041). 57 out of 1690 patients (3.4%) were hospitalized. 46 (80.7%) of them experienced severe/critical course. In multivariable logistic regression analysis, independent risk factors for hospitalisation with COVID-19 were age over 60 years (OR: 11.5; p<0.001), with comorbidity (OR: 1.83; p=0.045) and SLE as the underlying AIIRDs (OR: 2.59; p=0.036).ConclusionOur study suggested that time from last vaccination of less than 3 months and having RA decreased the risk of COVID-19 in AIIRDs. Among the infected patients, older age, having previous comorbidity and having SLE increased the risk of hospitalization.

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