Background Patients with systemic lupus erythematosus (SLE) carry a substantial comorbidity load associated with worse prognosis, yet most evidence pertains to long-standing disease. How comorbidities ...
Objective To investigate the risk of incident cognitive disorders in patients with primary Sjögren’s disease (pSjD) using nationwide Korean National Health Insurance Service data.Methods This ...
Objectives The pathogenesis of relapses in patients with microscopic polyangiitis (MPA) and granulomatosis with polyangiitis (GPA) remains ill defined. We aimed to identify whether there are any ...
Objectives To assess clinical effectiveness, safety and in vivo effects on cytokines, chemokines and low-density neutrophils (LDNs) in patients with active systemic lupus erythematosus (SLE) treated ...
Background Considering non-classical environmental risk factors for osteoarthritis (OA), a systematic literature review (SLR) was performed to summarise existing knowledge on associations between OA ...
Objective To assess whether the retention rate of certolizumab pegol (CZP) was longer than that of other tumour necrosis factor inhibitors (TNFi) based on baseline rheumatoid factor (RF) levels.
Background Physical activity (PA) in rheumatoid arthritis (RA) is considered a cornerstone in the treatment. To highlight aspects involved in supporting a positive PA behaviour, it is important to ...
Objective To determine the cumulative incidence of difficult-to-manage axial spondyloarthritis (D2M-axSpA) and treatment-refractory axSpA (TR-axSpA) in a recent-onset axSpA inception cohort, identify ...
Objective Successful uptake of biosimilars in rheumatology is limited by lack of real-world evidence regarding effectiveness of biosimilar-to-biosimilar switching. We investigated infliximab ...
Objectives To identify factors associated with the effectiveness and safety of Janus kinase (JAK) inhibitors in patients with rheumatoid arthritis (RA), as reflected by treatment retention. Methods ...
Objectives To develop and externally validate machine learning models for predicting disease flares in axial spondyloarthritis (axSpA) using real-world registry data. Methods Patients with axSpA ...
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