Clin2
NCT07015632Likely a fitRecruiting

Fall risk screening with sensors in Duchenne MD

DMD

Part of Bones, joints & muscles, Genetic & congenital, Injuries & trauma clinical trials.

This study uses a machine-learning tool (like a smart computer program) to help predict fall risk in people with Duchenne Muscular Dystrophy. It involves wearing sensors to track your movement and balance, which could help doctors create safer care plans.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
30 people
Ages
10 years to 30 years
Study type
Observational

Who can take part

  • You have a confirmed diagnosis of Duchenne Muscular Dystrophy (DMD) through genetic testing.
  • You are between 10 and 30 years old.
  • Your arm function is rated as a 2, 3, 4, or 5 on the Brooke Scale (a measure of how well you can use your arms).
  • You have weakness in the muscles that lift your arms to the side (shoulder abduction), with a manual muscle test score below 3.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

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