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Early rheumatoid arthritis : biomarkers and hormonal factors in relation to disease progression
- Publication Year :
- 2021
-
Abstract
- Rheumatoid arthritis (RA) is a chronic inflammatory joint disease, affecting approximately 0.5 to 1% of the adult population. Although the aetiology is not fully known, a complex interaction between genetic, environmental and stochastic factors is thought to trigger the pathogenic mechanisms. A distinguishing feature of RA is the presence of disease associated autoantibodies, mainly rheumatoid factor (RF) and anti-cyclic citrullinated antibodies (ACPA), which are important in both diagnostic and prognostic purpose. The disease is systemic but primarily affects the joints, and can cause irreversible destructions of cartilage and bone, eventually leading to functional disabilities. Moreover, extra-articular features (i.e., symptoms outside the joints) can occur and the patients have an increased risk for comorbidities, predominantly cardiovascular disease. Since the disease is heterogenous, varying from mild to more severe forms, the prognosis can be difficult to predict. Improvements in early diagnosis and identification of patients at risk of a more severe disease course can lead to better outcomes for the patients. The overall aim of this thesis was to evaluate prognostic biomarkers, and to evaluate hormonal and reproductive factors in relation to cardiovascular events (CVE) in patients with newly diagnosed RA (symptoms <12 months). Methods: The patients were included in a prospective inception cohort from the years of 1996 to 2017 and followed-up regularly at the early RA clinics in the northern region of Sweden. Clinical and laboratory parameters, and treatment were regularly recorded in the Swedish Rheumatology Quality Register (SRQ). Enzyme-linked immunosorbent assays (ELISA) and a multiplex assay were used to analyse bone remodelling factors and ACPA reactivities, respectively. Questionnaires regarding hormonal and reproductive factors were sent out to female patients ≤80 years. Information of CVE was extracted from the Swedish National Health Register and
Details
- Database :
- OAIster
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1280649562
- Document Type :
- Electronic Resource