View clinical trials related to Rare Diseases.
Filter by:The goals of this clinical trial are to (a) evaluate the feasibility and acceptability of a social robot intervention for providing family-based care for rare diseases families and (b) explore the effectiveness of the social robot intervention in improving the parent-child relationships and alleviating stress and anxiety for rare diseases patients and their parents. The main questions are: - Is the social robot intervention suitable for and acceptable to rare disease patients and parents? - Does the social robot intervention improve the parent-child relationship of rare disease patients and their parents? - Does the social robot intervention alleviate the stress and anxiety of rare disease patients and their parents? Patients and their parents will interact with the social robot PARO separately and together in each 30-minute course every two weeks for four courses.
The goal of this observational study is to systematically describe the clinical characteristics and outcomes of patients with pituitary complex and rare diseases at Peking Union Medical College Hospital. The main questions it aims to answer are: - What are the influencing factors and rates of remission? - What are the comorbidities associated with these diseases? - What are the perioperative events, radiological findings, and pathological features? Researchers will compare different patient groups to see if there are significant differences in these outcomes. Participants will: - Undergo detailed clinical evaluations. - Provide medical history and data for analysis. - Participate in follow-up assessments to monitor disease progression and treatment outcomes.
The cross-sectional observational clinical study related to rare eye diseases is a multi-center study in which the hypothesis is that neurokinin 1 receptor and/or substance P expression is increased in REDs associated with inflammation/pain. Moreover, the following alternative targets are: VEGF, PAX6 and pro-inflammatory cytokine. The following procedures are performed specifically for the study: samples of blood, tear fluid and impression cytology. Precisely during the ophthalmological exam performed according to normal clinical practice (uncorrected visual acuity, best spectacle corrected visual acuity, corneal topography, corneal pachymetry and the slit lamp pictures) investigator's team collect the samples of blood, tear fluid and impression cytology to evaluate the goal of the study.
The goal of this study is to conduct a prospective, longitudinal assessment of the natural clinical progression of children and adults with Synaptotagmin1-Associated Neurodevelopmental Disorder also known as Baker Gordon Syndrome (BAGOS). This will be performed by acquiring baseline measurements and developing effective outcome measures and diagnostic tools for the disorder, to prepare the healthcare system for future clinical trials.
The primary goal of this study is to establish a biobank of dried blood spots and urines from a large control cohort and collect several cohorts as large as possible of patients affected or suspected of being affected by rare diseases (mainly hereditary metabolic diseases) or by autism spectrum disorders. A metabolomic database using a high-resolution mass spectrometer (i.e. the "Device") will be generated and specific biomarkers for the diseases will be confirmed or uncovered. The ultimate goal is to facilitate and improve the diagnosis and screening of the patients affected by these disorders, but also to improve the knowledge about the biochemical mechanisms involved over the course of the selected pathologies. High-resolution mass spectrometry allows the measurement of thousands of metabolites in a single analysis. The current biochemical tests used for the diagnosis of hereditary metabolic diseases are only using a combination of maximum a few dozens of biomarkers in one analysis. Objectives Unravel new biomarkers for diagnosis (+/- explore the altered pathways…) Uncover and/or validate newborn screening biomarkers through retrospective analysis of preserved newborn DBS from confirmed patients (useful for first or second tier biochemical NBS testing!) Validation of LC-MS qTOF for metabolomics screening as first line diagnostic test (thousands of metabolites) using diagnostic algorithms (modified z-scores) & continuous optimization by adding new cases and new controls in the database Generation of a biobank of urines and DBS from rare diseases (IEMs) & from a large reference population useful for other research applications
Rare and very rare neurological diseases primarily or exclusively affect the nervous system with a prevalence of < 5 out of 10'000 and 100'000 people, respectively. Besides these, there are undiagnosed neurological diseases: neurological conditions without a diagnosis after completing a full diagnostic examination. Rare, very rare, and undiagnosed neurological diseases are complicated and progressive and often cause variegated motor signs, impairments, and syndromes. Balance and gait are frequently affected in these conditions, already at the clinical examination. These balance and gait impairments limit activities and cause an increased risk of falling. Falls can eventually result in injuries, even severe. There are only a few studies about these diseases, likely because of their rarity. Hence, the clinical presentation and the course of rare and very rare diseases are poorly known or even unknown. Essential information for these conditions' diagnosis, prognosis, treatment and rehabilitation is missing. MaNeNeND is an observational study underway at the Fondazione IRCCS Istituto Neurologico "Carlo Besta" (Milano) aimed at detailing the clinical and biological features of very rare and undiagnosed neurological diseases. Research questions: 1. Do patients with rare (Ra), very rare (V) and undiagnosed (U) neurological diseases suffer a balance and gait impairment? 2. Is there a correlation between the clinical and instrumental severity of the balance and gait impairment in RaVU neurological diseases? 3. Are instrumental measures more sensitive in detecting balance and gait impairments in patients affected by a RaVU neurological disease than the clinical measures? 4. Do the balance and gait impairments in RaVU neurological diseases worsen in time? The current project aims at diagnosing, quantifying and detailing the balance and gait impairment in rare, very rare and undiagnosed neurological diseases. To this aim, questionnaires, clinical scales and instrumental tests will be administered to these patients to collect a wide range of balance and gait measures. These measures will also integrate those collected with MaNeNeND to provide a more detailed description of patients with rare, very rare and diagnosed neurological diseases. Participants will complete two questionnaires: the Dizziness Handicap Inventory - short form (DHI-sf, an ordinal score of self-perceived balance) and the Modified Fatigue Impact Scale (MFIS, an ordinal score of self-perceived fatigue). Moreover, a clinician will administer the Mini Balance Evaluation Systems Test (Mini-BESTest, an ordinal score of balance), the 10 m walking test (for measuring the gait speed and other gait parameters) and the Timed Up and Go test (an instrumental measure of mobility and balance). Walking and the Timed Up and Go tests will be recorded with a trunk-worn inertial measurement unit. Finally, participants will be asked to complete an instrumental upright stance and gait assessment, the first consisting of standing on posturographic plates and the second of walking on a treadmill equipped with force sensors. When walking on the treadmill, an optoelectronic system will also record the position in time of limbs and trunk. The quantification of the severity of the balance and gait impairment of the patients suffering a rare, very rare or undiagnosed neurological disease will highlight these persons' therapeutic and rehabilitative needs. Comparing the balance and gait impairment of rare, very rare and undiagnosed diseases with those of multiple sclerosis, Parkinson's disease and peripheral neuropathy will highlight if the formers' balance and gait impairment has unique characteristics that could help ease the diagnosis of these uncommon conditions. The longitudinal measurements on rare, very rare and undiagnosed diseases will be paramount to identifying prognostic factors. In addition, the data collected in the current study will be crucial for future studies, for example, for estimating the sample size in clinical trials.
This is a single patient study of oral powdered fluoxetine to target developmental outcomes in a child with KCNC1-related disorder. This trial will be conducted at Holland Bloorview Kids Rehabilitation Hospital over 32 to 42 weeks, using a quasi experimental ABA phase design (placebo-fluoxetine-placebo) with randomized and blinded active treatment start and stop moments.
The purpose of this study is to collect data on how advanced and rare cancers respond to biomarker-based treatments.
The Epilepsy Learning Health System (ELHS) is a quality improvement and research network to improve outcomes for people with epilepsy. The ELHS is designed as a model of value-based chronic care for epilepsy as envisioned by the National Academies of Medicine Committee in their landmark reports "The Learning Health System" and "Epilepsy Across the Spectrum: Promoting Health and Understanding". The ELHS network is a collaboration among clinicians, patients and researchers that promotes the use of data for multiple purposes including one-on-one clinical care, population management, quality improvement and research. The ELHS Registry includes data on children and adults with epilepsy collected during the process of standard epilepsy care. These data are used to create population health reports and to track changes in outcomes over time. ELHS teams use quality improvement methods, such as Plan-Do-Study-Act (PDSA) cycles, to continuously learn how to improve care.
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.