View clinical trials related to Arthritis, Rheumatoid.
Filter by:The overall purpose of this project is to investigate the neuro adaptations of pain and biomechanical differences between placebo and a custom-made foot orthoses for patients with RA.
Aim of this project is the building-up of an integrated model of multidisciplinary research tools to support large-scale and high-quality disease-based studies.
Rheumatoid Arthritis (RA) is an inflammatory rheumatic disease that can lead to structural damage and handicap. The RA physiopathology is multifactorial, including genetic and environmental risk factors. The identification of environmental factors implication is crucial to understand the RA mechanism, and improves the diagnosis and the treatment of the disease.
Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes joint inflammation and progressive joint destruction. Rheumatoid cachexia is one of the structural manifestations of RA, and consists of a reduction in muscle mass, due to an increased muscle protein catabolism induced by inflammatory cytokines. This muscle mass loss generates an impairment in physical function and functional capacity in RA patients. The aim of study was to verify neuromuscular and functional responses in middle-aged women with RA compared to paired healthy women.
This multi-site, observational, prospective study aims to investigate current practice and associated outcomes for patients scheduled for elective unilateral total hip or knee arthroplasty in South Africa.This information will provide baseline values, against which effects of implementing a multidisciplinary enhanced care protocol for arthroplasty patients will be compared (the subsequent study).
The primary objectives of this study are to investigate - the safety and tolerability of increasing single oral doses of BAY 1830839 versus placebo under fasted conditions - the pharmacokinetics after single ascending oral doses of BAY 1830839 under fasted conditions
To compare the efficacy between the HLX01 group and the placebo group through the proportion of subjects meeting the ACR20 improvement criteria for remission
Despite their efficacy at controlling joint inflammation, current treatments of rheumatoid arthritis (RA) leave up to 40% of patients into non-remission. Non-remission is most frequently due to persistently negative self-reported global impact of RA, and not to remaining swollen joints or elevated levels of acute phase reactants. In a cohort of recent-onset RA patients diagnosed early and treated to remission (Sherbrooke Early Undifferentiated PolyArthritis (EUPA) cohort), treatment of active disease rapidly led to reduced depressive symptoms in most, but 20% still expressed elevated depressive symptoms (using the CES-D screening tool) after a mean of 7 months. Elevated CES-D scores at this early time strongly predicted never reaching remission over the following 4 years. Elevated CES-D scores were strongly correlated with increased levels of patient-related outcomes (PROs such as fatigue, pain, sleep quality, stiffness and functional limitation), but not with joint or systemic inflammation. In fact, 80% of patients expressing depressive symptoms had controlled joint disease at the same visit. The investigators propose that addressing depressive symptoms will improve RA patients' symptoms and quality of life. In clinical practice, the best indicator of depressive symptoms is the presence of a disconnect between the Patient's (Pt-VAS) and the Physician's (MD-VAS) evaluation of disease activity in patients without objective signs of inflammation. This pilot study will explore the feasibility and acceptability of testing MBSR in these patients. It will assess over 6 months the changes in depressive symptoms and PROs both in controls and MBSR-treated patients. If positive, the investigators plan to complete a multicenter 6-month Randomized Clinical trial (RCT) (with a 2 year follow up) to formally address the risks/benefits of group MBSR interventions in RA patients with controlled inflammatory disease but positive disconnect between Pt-VAS and MD-VAS.
The purpose of this study is to investigate the effects of a yoga program based on "Yoga in daily life system" in patients with rheumatoid arthritis. The investigators want to explore whether this program will improve health-related quality of life and psychological well-being in patients. In addition they want to explore its potential positive modulation of the immune system.
Background The risk for hospitalized infection (i.e. infection leading to hospitalization) in patients with inflammatory arthritis (rheumatoid arthritis (RA), psoriatic arthritis (PsA) or axial spondyloarthritis (axSpA) treated with biological drugs is known to be increased compared to the background population. In daily clinical practice, there is a need for a simple way to assess the absolute risk for hospitalized infection in individual patients based on easily available information such as age, diagnosis, functional status, comorbidities and medication. This risk estimate will be useful in clinical decision making e.g. when advising patients on whether or not to initiate biologic therapy or when advising patients on influenza or pneumococcal vaccination. Objectives The objectives are 1) to assess the risk for hospitalized infection (infection leading to hospitalization) in patients with inflammatory arthritis during 12 months of follow-up after initiating treatment with their first biological drug (bDMARD) with the risk in the general population, and 2) to develop a simple, clinically useful algorithm that allows prediction of the risk of hospitalized infection in individual patients. Methods Observational cohort study based on existing data in: The Danish Rheumatology Register (DANBIO), The Danish National Patient Register, The Danish National Prescription Register and The Danish Register of Causes of Death. All patients registered in DANBIO with RA, PsA or axSpA who initiated treatment with their first biological drug between January 1, 2006 and December 31, 2016 will be identified. Baseline predictors and outcomes (hospitalized infection or death) during 12 months of follow-up are obtained. Logistic regression analysis and 10-fold cross-validation will be used to develop and internally validate the prediction model.