View clinical trials related to Orphan Diseases.
Filter by:There are around 8,000 rare diseases and new ones are described every month in the scientific literature. They affect a limited number of patients. Nearly 80% of these diseases have a genetic origin and 30 to 40% of them are associated with dysmorphia. The latter can be suspected by evaluating the morphological characteristics of the patient. This medical skill, called dysmorphology, which allows a diagnosis to be made by evaluating the morphological characteristics of a patient, is based on experience. Diagnosis is often easy for relatively common diseases, but more difficult for rarer pathologies affecting few patients and often described in a single ethnicity and age of life. The study aims to create a dataset specific to the application of methods from artificial intelligence. Extending the methodologies described to profile and extremity photographs will allow better recognition and description of dysmorphia. This will allow to make diagnostic suggestions by comparison with the database. The Data Science team has already explored the notion of phenotypic similarity of patients. Jean Feydy is a mathematician expert in image analysis and will ensure the scientific robustness of the study methods. This project will conclude with the establishment of a diagnostic aid tool, integrating research results for doctors with a particular interest in developmental anomalies and intellectual disability.
In people suffering from a rare disease the diagnostic process and the confirmation of a final diagnosis is often ongoing for many years. Factors contributing to delayed diagnosis include the limited knowledge of health care professionals about rare diseases and their symptoms but also a psychiatric or psychosomatic (co-)morbidity obscuring the symptoms of the rare disease. The project ZSE-DUO will evaluate whether a combination of an expert in somatic medicine and a psychiatric/psychosomatic specialist will increase the rate of assured diagnoses in patients approaching a center of rare diseases (primary outcome), accelerate the process until a diagnosis is made, reduce the costs of diagnosing a patient, and lead to a higher satisfaction of patients and health care professionals. Furthermore, the project will evaluate whether the use of psychosomatic screening tools at registration of a patient in a center for rare diseases will help to guide the diagnostic process. Two cohorts of 682 patients each will be sequentially recruited over 9 plus 9 months: the Control group cohort (CG based on somatic expertise) and the Experimental group cohort (EG combined psychosomatic/somatic expertise Included will be persons from the age of at least 12 years presenting with symptoms and signs which are not explained by current diagnoses (as judged by the patient's primary care physician and a specialized physician at the center for rare diseases ZSE evaluating the medical records). Patients will be recruited from 11 German Centers for Rare Diseases associated with University hospitals in the cities of Aachen, Bochum, Frankfurt, Hannover, Magdeburg, Mainz, Münster, Regensburg, Tübingen, Ulm and Würzburg. Recruitment will be supported by a collaboration with the German patient organization representing many rare disease organizations ACHSE e.V. and a collaboration with the insurance companies Techniker Krankenkasse, IKK gesund plus and AOK Hessen who also provide data on costs of care. Data collection and analysis will be coordinated and performed by the Institute for Clinical Epidemiology and Biometry at the University of Würzburg, the Institute for Epidemiology, Social Medicine and Science of Health Care Systems in Hannover, and the Department of Medical Psychology in Hamburg. The project is funded by the Innovationsfond of the Federal Joint Committee in Germany.
This study is based on the study of the natural history of a rare disorder: the Bardet-Biedl syndrome (BBS) (which is associated with retinitis pigmentosa, polydactyly, cognitive impairment, obesity, and kidney failure). The clinical, biological, and radiological features of adult patients are studied. In parallel, a molecular study is performed on the known genes to date (8 genes from BBS1 to BBS8) and to identify new genes involved. The parts of the study are combined in a phenotype-genotype correlation study.