Neuromuscular Diseases
Conditions
Keywords
Neuromuscular Diseases, Dystrophy, Monitoring, Accelerometer, Evaluation
Brief summary
The low prevalence of rare diseases hinders the design of clinical studies with sufficient statistical power to demonstrate the efficacy of new drugs. This can only be achieved by setting up international multicentre studies, which is challenging due to a lack of objective, universal outcome measures that generate high-quality, reproducible data. One of the hurdles in attaining universal outcome measures for clinical trials is the difficulty to capture and distinguish ambulatory from non-ambulatory, autonomous and assistive or involuntary movements. This makes a trial assessing the ambulatory phase very challenging at this moment. Excluding many participants from trials and many patients from access to medication. Integration and validation of the technology in trials, research and patients' lives is essential in overcoming this hurdle. For example, in dystrophinopathies separate outcome measures exist for ambulant and non-ambulant participants, but the relation between these outcome measures or a transitional outcome measure/end point is largely missing. Following an exhaustive literature review, several tools have been selected to remotely follow various symptoms of neuromuscular patients including weakness, pain, fatigue, cognitive defects, motor impairments (including loss of dexterity, ataxia...), metabolic, respiratory and cardiac troubles, contractures, tremor, falls, hypo or hypersomnia... The toolbox includes common measures for all patients but may include additional measures specific to the patient's symptoms (hence in turn to the patients' disease). The measurements are designed to not be invasive, intrusive or burdensome for the patient. DT4RD is going to leverage state-of-the art technology, clinical rating scales and psychometric/data analysis to deliver fit for purpose remote clinical assessments of mobility to ensure maximum patient benefit, specifically: * Compare face to face clinical data collected in hospital with Patient Generated Data recorded remotely * Examine how sensors can enhance measurement potentially at home and during clinical visits * Promote a clear focus on user centered design and the integration of technology * Use reliability and validity analyses to equate any common measures (those with the same or a similar construct) * Demonstrate a proof-of-concept model into which different measures can be interchangeable
Interventions
OTHER2MWT
Two minutes walk tests.
OTHERMFM32
Motor Function Measurement (MFM) is a quantitative scale created to measure global motor functional abilities in a person with neuromuscular disease.
OTHERMyoGrip
The MyoGrip is a dynamometer for measuring grip strength.
OTHERQOL-gNMD
The Quality of Life in genetic Neuromuscular Disease questionnaire (QoL-gNMD) is a patient reported outcome measure (PROM) tool specifically designed for patients with a lowly progressive neuromuscular disease with genetically predominant muscular damage
DIAGNOSTIC_TESTSpirometry
Forced vital capacity (FVC), peak expiratory flow (PEF) and forced expiratory volume in 1 second (FEV1) will be measured in the hospital with the local hospital device (e.g. Vitalograph) under the supervision of the clinical evaluator, and at home with a portable device.
DEVICEAcceleromerty
The Links sensor system is a measuring device and consists of the Links Pods and the Links Hub. The Links pods contain an accelerometer, gyroscope and magnetometer to measure position relative to a global reference frame.
OTHER10mWT
10 meters walking Test.
OTHERPUL
The Performance of the Upper Limb (PUL) is a functional scale specifically designed for assessing upper limb function in Duchenne muscular dystrophy.
OTHERNSAA
The North Star Ambulatory Assessment (NSAA) is a 17-item rating scale that is used to measure functional motor abilities in ambulant children with Duchenne Muscular Dystrophy.
OTHERNSAD
The NSAD was developed to measure motor performance in ambulant and non-ambulant subjects as part of the clinical outcome study of dysferlinopathy.
OTHERTANS
This scale is derived from the North Star Ambulatory Assessment and several items from the Egan Klassifikation Scale (EK2).
OTHERMyoPinch
The MyoPinch is a high-precision dynamometer that allows the evaluation of key pinch strength.
OTHERMyoQuad
The MyoQuad is a high-precision dynamometer that allows the evaluation of knee extension strength.
OTHERACTIVLIM
Activity limitations, as measured by ACTIVLIM, is defined as the difficulties a patient may have in executing daily activities, whatever the strategies involved.
OTHERPREM
This questionnaire is made up of simple questions relating to the assessments and assessment tools that were used during the study.
OTHERSF-MPQ
The main component of the SF-MPQ consists of 15 descriptors (11 sensories; 4 affective) which are rated on an intensity scale as 0 = none, 1 = mild, 2 = moderate or 3 = severe.
OTHERFSS
The Fatigue Severity Scale is used to assess the severity of fatigue and its impact on daily living. The patient responds on a Likert-type scale ranging from 1 to 7.
OTHERIPAQ
This questionnaire assesses overall physical activity and the level of sedentary lifestyle during the last seven days.
OTHERRang of motion
The EasyAngle® is a digital goniometer improving long established goniometric functionality with rotation, inclination, and scoliosis measurement capabilities.
DEVICEGoniometry
The Links sensor system is a measuring device and consists of the Links Pods and the Links Hub. The Links pods contain an accelerometer, gyroscope and magnetometer to measure position relative to a global reference frame.
OTHERVideo captured monitoring
Once every four weeks, while wearing the Yumen electronic goniometers (Links Sensor System), the patients will be asked to record on video three tasks related to: 1. Upper limbs: hands to head 2. Lower limbs: Sit to stand with or without the help of a person 3. Self-defined important task: A task of the patient's choice, from a list of tasks, representative of his/her motor difficulties or hindrance to autonomy.
DEVICEActivity monitoring
Wearable devices (connected watch) will collect health-related data on a 24/7 basis remotely as patients go through their daily routines at home and work.
Sponsors
Aparito Ltd.
Institut de Myologie, France
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
12 Years to 60 Years
Healthy volunteers
No
Inclusion criteria
* Aged between 12 and 60 years * Patients with a genetically confirmed/molecular-proven neuromuscular or neurometabolic disease\* * Patients experiencing walking difficulties in the home and at high risk of limiting participation and walking outside of the home. * Written informed consent * Able to comply with all protocol requirements, including video recording * Affiliated to or beneficiary of a social security scheme (for France)
Exclusion criteria
* Patients with undefined diagnosis or any diagnosis other than neuromuscular or neurometabolic disease * Patient walking 10m in less than 10s * Guardianship/trusteeship * Pregnant or nursing women * Patients having relevant concomitant pathologies that, in the appreciation of the investigator could interfere with protocol compliance * Patients not being affiliated with local social security (for France)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Global home evaluations' attendance | Through study completion, an average of 1 year | Proportion of home assessments carried out compared to the number of home assessments planned |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Compliance with filling out questionnaires at home | Through study completion, an average of 1 year | Analysis of the proportion of replies to the questionnaires at home |
| Compliance regarding using of the spirometer at home | Through study completion, an average of 1 year | Analysis of the proportion of valid spirometry data collected at home |
| Compliance regarding using of the LINKS sensors device at home | Through study completion, an average of 1 year | Analysis of the proportion of usable accelerometry data collected at home |
| Compliance regarding achievement of video tasks at home | Through study completion, an average of 1 year | Analysis of the usability of the video tasks performed at home |
| Correlation of home and hospital spirometer Forced vital capacity measurements | Through study completion, an average of 1 year | Comparison of Forced vital capacity data collected during home and hospital spirometer measurements |
| Correlation of home and hospital spirometer peak expiratory flow measurements | Through study completion, an average of 1 year | Comparison of Peak expiratory flow data collected during home and hospital spirometer measurements |
| Correlation of home and hospital spirometer forced expiratory volume in 1 second measurements | Through study completion, an average of 1 year | Comparison of forced expiratory volume in 1 second data collected during home and hospital spirometer measurements |
| Compliance regarding using of the activity sensor at home | Through study completion, an average of 1 year | Analysis of the proportion of usable data collected at home using the smartwatch |
Countries
France, United Kingdom
Outcome results
None listed