View clinical trials related to Muscular Dystrophies.
Filter by:Pandemic period could affect the disabled children's rehabilitation and follow-up negatively because of preventive measures and this could create adverse results on their parents. In this research, it is aimed to determine the positive and negative effects of pandemic on parents and disabled children and to provide an insight for future solutions.
SEPN1 (SELENON) is a rare congenital myopathy due to mutations in the SELENON gene. MDC1A is a rare congenital muscle dystrophy due to mutations in the LAMA2 gene. Currently, not much is known about the natural history of these two muscle diseases and no (curative) treatment options exist. The investigators aim to study the natural history of SELENON- and LAMA2-related myopathy/congenital muscular dystrophy patients and prepare for future trials by selection of the most appropriate outcome measures. To this end, a standard medical history, neurological examination, functional measures, questionnaires, cardiac examination, respiratory function tests, radiological examination and accelerometry will be performed over an one and-a-half year period.
This is a Phase 1, open-label, dose escalation study aimed at evaluating the safety, early efficacy and potential biomarkers of (+)-epicatechin in patients with Becker or Becker-like Muscular Dystrophy (BMD).
Relation between clinical and genetic features and acute digestive events in Duchenne muscular dystrophy patients
The clinical diagnosis of Facio-Scapulo-Humeral Muscular Dystrophy (FSHMD) requires the movement of patients to a medical centre and a lengthy examination involving medical personnel, and may be underestimated in the most moderate cases. Thus, it requires costly and burdensome logistics both for patients living in remote areas and having to undertake long and expensive travel, and for clinical staff. This is an obstacle to large-scale diagnosis. The investigators plan to alleviate these limitations through the use of digital facial analysis technology that would enable large-scale diagnosis of patients through telemedicine. Motivated by the reasons described above and by preliminary results, the goal of this project is to develop methods to automatically detect and monitor the progression of this disease using computer vision algorithms. In order to do this, the investigators will first build up a bank of images and videos of patients with moderate to severe FSHMD, patients with other muscular dystrophies causing facial muscle asymmetry, as well as control subjects without facial involvement. Each of these subjects will be characterized clinically and genetically. The investigators will then develop computer tools using video and audio sensors capable of detecting facial muscle damage in patients with FSHMD and differentiating them from control subjects on the one hand and patients with other muscular dystrophies on the other hand. The investigators wish to use the most recent advances in terms of "deep-learning" and improve their architecture in order to achieve our objectives. In addition to this holistic approach, the investigators will study facial recognition approaches capable of accurately identifying different facial areas on images, as well as the relevance of different statistical properties of facial dynamics (duration and intensity). These algorithms will also be useful for monitoring the evolution of facial damage in order to develop a specific measurement tool that could be used in patient follow-up and in clinical trials on early stages of the disease.
Foot and body postures of patients with DMD will be evaluated. Foot structure characteristics such as foot length, metatarsal width, calcaneal valgus angle will be calculated for the foot posture. Also, the Foot Posture Index (FPI-6) scale will be used. The body posture will be evaluated with the New York Posture Scale. Many gait characteristics such as step length, cadence, support surface of the patients will be determined with GaitRite instrumented walkway. Patients' balance assessment will be evaluated with Bertec Balance Advantage. The statistical analysis method will determine the relationship between foot and body posture and gait and balance.
The purpose of the study is to explore the biomarker Fast Troponins response to exercise in patients with Becker muscular dystrophy, Limb-girdle muscular dystrophy and McArdle disease
This study is designed to evaluate safety, tolerability, and pharmacokinetics (PK) in male children with nmDMD aged ≥6 months to <2 years treated daily for 24 weeks with orally administered ataluren 10, 10, and 20 milligrams/kilogram (mg/kg) (morning, mid-day, and evening dose, respectively).
Spinal cord injuries and people with Duchenne Muscular Dystrophy or Infant Spinal Muscular Atrophy (ISA) are prone to pain and pressure sores associated with prolonged sitting. For this reason, it is recommended that people with spinal cord injuries release pressure every 15 to 30 minutes and motorized wheelchair users use the electric positioning functions at least 1 minute every hour. The aim is to prevent and/or reduce pain and pressure sores. These devices could help to observe daily the variability of users' pressure maps, their impact on occupational performance, the link with pain and redness and could propose customized adjustments.
Patients at risk of developing respiratory dysfunctions, such as patients with severe forms of muscular dystrophy, need a careful respiratory assessment, and periodic follow-up visits to monitor the progression of the disease. Continuous monitoring of respiratory activity pattern at home could give additional understandings about disease progression, flanking traditional, intermittent, cardiopulmonary evaluations, allowing prompt clinical intervention, and anticipating respiratory dysfunction. The main objective of the present study is thus to investigate the feasibility of using an innovative wearable device for respiratory monitoring, especially breathing frequency variation assessment, in patients with muscular dystrophy. The comparison between the measurements of breathing frequency obtained by using the IMU-based device and by using the reference method provided optimal results, in terms of accuracy errors, correlation and agreement. Participants positively evaluated the device for what concerns ease of use, comfort, usability and wearability. Moreover, preliminary results confirmed that breathing frequency is an interesting breathing parameter to monitor, at the clinic and at home, because it strongly correlates with the main indexes of respiratory function