Active clinical trials for "Autoimmune Diseases"

A Multi-Centre, Randomised, Controlled, Masked Phase 2 Study of the Safety and Efficacy of KIO-101 Ophthalmic Solution, versus Vehicle Control in the treatment of Dry Eye Disease in Patients with Autoimmune Disease

A 2-arm randomized Phase II Open Label Study to evaluate the safety and feasibility of intralymphatic administration of Diamyd® (Diamyd) in individuals at risk of Type 1 diabetes carrying the HLA DR3-DQ2 haplotype.

The ITAMA project, which ended in 03/2022, came from the need to increase/anticipate the number of diagnosed cases of celiac disease (CD). The project involved the preliminary development of 'software tools' (Graphical User Interface (GUI), DATABASE, Decision Support System (DSS)) used to support the physicians to optimize CD diagnosis. Subsequently, through a screening of about 20,000 subjects of school age in Malta and about 1,000 subjects in Sicily, it was shown that, in compliance with international guidelines, it is possible to anticipate CD diagnosis and make it easy with the aid of a tool based on the search for specific antibodies in the blood, collecting a single drop of blood - with a test performed directly "in the points where care is provided" (eg schools, outpatient clinics) that is with a Point-of-Care-Test (PoCT). This system proved to be effective, and the method was minimally invasive (at least in some pediatric cases it was possible to avoid the endoscopic examination). The ITAMA project has made it possible to bring out a submerged part of the "CD iceberg", a condition that in a large percentage of cases remains undiagnosed and transfer the know-how to commercial companies in the medical sector. ITAMA project results allowed to verify and validate, on a large sample of subjects subjected to screening, that: Diagnosis can be anticipated and facilitated by combined use of a rapid test (PoCT), medical history (supported by software) and traditional serological tests. The diagnosis can be optimized by the support of Information Technology (IT) tools based on Artificial Intelligence (AI). Non-invasive methods, if correctly applied, allow CD diagnosis avoiding invasive diagnostic techniques. The reported procedures grant considerable savings for the National Health System (NHS). Starting from the results of ITAMA, this capitalization project aims to extend the previous experience in a larger population with heterogeneous characteristics (both adults and children). The goal of the new project is to use the combination of PoCT + tools software, to increase/anticipate CD diagnosis and, therefore, bring the number of diagnosed subjects closer to the number of expected cases, in Sicily and Malta. The inevitable implication of this would be the improvement in the quality of life of patients (reduction of symptoms, fewer medical visits and instrumental examinations performed, reduction of lost working days, improvement of social relations) and a significant reduction in costs for the NHS.

Background: Implant-based breast reconstructions contribute considerably to the quality of life of breast cancer patients. A knowledge gap exists concerning the potential role of breast implants in the development of so called 'breast implant illness' and autoimmune diseases in breast cancer survivors with a silicone breast implant-based reconstruction. Breast implant illness is a constellation of non-specific symptoms reported by a small group of women with silicone breast implants. Methods/Design: The Areola study is a multi-centre historic cohort study with prospective follow-up aiming to assess the risk of 'breast implant illness' and autoimmune diseases in female breast cancer survivors with and without silicone breast implants. The cohort consists of breast cancer survivors who received surgical treatment with silicone implant-based reconstruction in six major hospitals across the Netherlands in the period between 2000 and 2015. As comparison group, a frequency-matched sample of breast cancer survivors without breast implants will be selected. An additional group of women who received breast augmentation surgery in the same years will be selected to compare their characteristics and health outcomes with those of breast cancer patients with implants. All women still alive will be invited to complete a web-based questionnaire covering various health related topics. The entire cohort including deceased women will be linked to the population based computerized databases of Statistics Netherlands. These databases include a registry of diagnostic codes, a pharmacotherapeutic prescriptions registry and a cause-of-death registry in which diagnoses of autoimmune diseases will be identified. Outcomes of interest are the prevalence and incidence of BII and the prevalence and incidence of autoimmune diseases. In addition, risk factors for the development of BII and autoimmune disorders will be assessed among women with implants. Discussion: The Areola study will contribute to the availability of reliable information on the risks of breast implant illness and autoimmune diseases in Dutch breast cancer survivors with silicone breast implants. This will inform breast cancer survivors and aid future breast cancer patients and their treating physicians to make informed decisions about reconstructive strategies after mastectomy. Keywords: Silicone breast implants, Breast reconstruction, Breast cancer, Breast Implant Illness, Autoimmune disease

It has long been claimed that depression, and other psychiatric illness, might be a manifestation of immune dysregulation involving the Central nervous system. Depression is associated with a significantly increased risk of autoimmune disease compared to those without a history of depression. The increased risk of autoimmune diseases is during the first year following the onset of depression .Conversely, up to 50% of patients with autoimmune diseases show an impairment of health-related quality of life and exhibit depressive symptoms. The aggregation of depression and some specific autoimmune diseases may demonstrate shared inherited pathogenesis. The first phase of the study will include patients with the diagnosis of depression. The control group will consist of a healthy population, according to medical records and will be recruited through a recruitment ad and volunteers. In the second phase of the study first and second-degree relatives (parents, siblings, children, grandparents, aunts, uncles and cousins) who are diagnosed with autoimmune disease/s will be recruited. Auto-immune diseases will include - Rheumatoid Arthritis (RA), juvenile idiopathic arthritis JIA), Seronegative spondyloarthropathies (SPA) including inflammatory bowel disease (IBD), psoriatic arthritis (PsA), and ankylosing spondylitis. Other autoimmune diseases: Systemic Lupus Erythematosus, Sjogren' syndrome (SS), systemic sclerosis (SSc), inflammatory myopathies (IIM), any Overlap of the above including mixed connective tissue disease (MCTD), systemic vasculitis (see Chapel Hill classification criteria). All autoimmune diseases will be confirmed by an expert rheumatologist or an internist. Celiac disease, Diabetes Mellitus type I, autoimmune thyroiditis, autoimmune hepatitis will be confirmed by a gastroenterologist, endocrinologist or an internist.

This study learn how easily patients can use an educational tool that will be created for patients with melanoma and pre-existing autoimmune diseases who receive or will receive immune checkpoint inhibitor drugs. Patients will be asked their opinions about the design, accessibility, and content of the tool. Researchers will use the information collected to improve the educational materials that will help patients make future decisions about their treatment.

To date, there is no available tool that allows, at individual level, determination of the probability to develop clinically relevant complications of prolonged glucocorticoid therapy. In patients with inflammatory rheumatic disorders requiring prolonged glucocorticoid therapy, such tool could be useful to adapt first-line treatment decisions (in daily practice and in future clinical trials). The main objective of the study is to identify routine clinical, biological and DXA baseline characteristics predictive of the occurrence of clinically relevant complications of glucocorticoid therapy at 1 year, in order to propose a predictive score.

Background: Viral infections such as COVID-19 may lead to flare-ups in people with systemic autoimmune diseases (SAD). These infections may also change the function of their immune system and/or cause problems with their blood vessels. Researchers want to learn how people with SAD respond to treatments or vaccines for COVID-19. Objective: To understand how COVID-19 affects inflammation, the immune system, and blood vessels in adults and children with autoimmune diseases. Eligibility: People ages 15 and older who have been diagnosed with an autoimmune disease or are a healthy volunteer Design: Participants will have a screening visit. This will include: Medical history and physical exam EKG Chest x-ray COVID-19 test. A swab will be put in the participant s nose or the back of their mouth. Blood and urine tests Participants will be placed into 1 of 4 groups: Those with previously documented COVID-19 infection or COVID vaccination Those with a recently known COVID-19 exposure or vaccination Those with no known COVID-19 exposure or vaccination Those who developed an acute COVID-19 infection Depending on their group, participants will have 1 to 5 more visits. These will occur over 12 to 18 months. Visits may include: FDG PET/CT scan. Participants will lie in a doughnut-shaped machine. The machine creates pictures of the body. For the scan, they will have a radioactive substance injected into their arm through an IV. Kidney function tests Non-invasive vascular studies test. These tests are similar to what it feels like to have blood pressure checked.

This multi-site registry, centered at Duke University, will enroll pregnant women with autoimmune and rheumatologic diseases. The main goal of MADRA is to identify ways to improve the health of women with rheumatic diseases and their babies during pregnancy. Prior studies demonstrate the importance of increase inflammation prior to and during pregnancy on these outcomes. The future research will seek to better define these risk factors and to identify ways to may improve them.

National multi-center non-interventional case-control cohort study with collection of biological samples to characterize the autoimmune T and B lymphocytes involved in the development of type 1 diabetes.