View clinical trials related to Collagen Diseases.
Filter by:The EULAR Impact of RMDs Survey collects first-hand information about the impact of rheumatic and musculoskeletal diseases (RMDs) among patients across and beyond Europe. Through periodic questionnaires, patients will provide information about their healthcare situation, and how the disease affects their social and occupational lives. This data will be an important resource for researchers, healthcare professionals, and patients alike, providing valuable insights into the burden of disease and helping improve the overall care for people living with these conditions.
No tool has been found to evaluate behaviors that may hinder or facilitate physical activity in individuals with pediatric rheumatic diseases. In this sense, the importance of examining physical activity barriers and facilitators in children with rheumatic diseases is clear. We believe that our study will guide the increase in physical activity, which is very important for reducing disease risks in individuals with pediatric rheumatic diseases. The aim of our study is to examine the validity and reliability of the Inflammatory Arthritis Facilitators and Barriers to Physical Activity (IFAB) Questionnaire in individuals with pediatric rheumatic diseases (juvenile idiopathic arthritis, juvenile fibromyalgia syndrome, juvenile dermatomyositis).
This study is a multi-center, randomized, double-blinded, controlled trial with two parallel arms. The study aims to evaluate the efficacy and safety of Involucrata Liquid Tonic in patients with Postpartum Rheumatism.
Epidemiological evidence shows that adverse experiences, particularly, but not exclusively in childhood, are predictors of poor long-term health outcomes and certain social domains. In the field of rheumatic diseases, traumatic events, not only in childhood, have been associated with hospitalization, chronic pain, inflammation, worse outcomes, severity of the disease, and mortality. Some mechanisms proposed to explain the association between the experience of adversity and the development of chronic diseases include an impact on the physiology of immune system cells, gene expression due to DNA modification, and cellular senescence. With this background, the investigators wonder if, for patients with rheumatoid arthritis, the presence of adversity understood as a history of violence in childhood and abuse due to suffering from rheumatoid arthritis is associated with markers of cellular senescence and with the severity of illness.
The main objective is to evaluate the implementation of a hybrid care model called the mixed attention model (MAM) in clinical practice and to evaluate whether its implementation improves clinical outcomes compared to conventional follow-up. This is a multicenter prospective observational study involving 360 patients with rheumatoid arthritis (RA) and Spondylarthritis (SpA) from five Spanish Hospitals. Patients will be followed-up by the MAM protocol, which is a care model that incorporates the use of digital tool consisting of a mobile application (App) that patients can use at home and that professionals can review asynchronously to detect incidents and to follow their patients; clinical evolution between face-to-face visits. Another group of patients, whose follow-up will be conducted in accordance with a traditional face-to-face care model, will be assessed as the control group. Sociodemographic characteristics, treatments, laboratory parameters, assessment of tender and swollen joints, visual analogue scale for pain and electronic patient reported outcome reports (ePROs) will be collected for all subjects. In the MAM group, these items will be self-assessed both by the mobile App and during face-to-face visits with rheumatologist, who will do the same for patients included in the traditional care model. Patients will be able to report any incidence related to their disease or treatment through the mobile App.
The purpose of this study is to evaluate the patient engagement with digital tools for diagnosis and monitoring of disease in rheumatology services
Musculoskeletal pathologies constitute a major public health problem. Rheumatologists, whether they practice in private or hospital settings, play a major role in the management of responsible for these ailments. Due to the increase in life expectancy, an increase in the number of consultations can be expected. It is therefore imperative that the latter be more efficient, without losing quality. Communication between doctor and patient is bound to evolve due to the multiplicity of IT tools available and those that are emerging, which are increasingly essential, including many smartphone applications. Each targeting a specific pathology (rheumatoid arthritis, ankylosing spondylitis, osteoporosis osteoarthritis, they will allow the patient to self-assess, thus becoming an actor in his own care. A "facilitated" exchange between caregivers and patients would be relevant and would provide added value for all. This is the reason why there is a real need for an application listing precise information on the patient, in a sufficiently succinct way to optimize their transmission to the physiotherapist.
Factors associated with severe forms of COVID-19 infection in patients with inflammatory rheumatic diseases (IRD) or Autoimmune Diseases (AID) are unknown. This unprecedented situation leads to empirical and potentially erroneous advice and recommendations for care. Identifying factors associated with severity, in the context of this pandemic, which is expected to last many months, and possibly years, is crucial for future patients. The objective of this work is to identify the factors associated with the occurrence of severe forms of COVID-19 infection in patients with IRD or AID, by combining analysis of 2 large databases.
The main objective of this study is to generate diagnosis and therapeutic-decision tools through the identification of molecular causes of PIDs with autoimmunity/inflammation and the variability in disease outcome at the transcriptional level using a combination of omics signatures (transcriptomics, epigenomics, proteomics, metagenomics, metabolomics and lipidomics).
Exploration of pathophysiological mechanisms in chronic inflammatory rheumatism and rare systemic autoimmune diseases with the objective of identifying therapeutic targets.