Clinical trial Recruiting at 1 site Observational Ages 8 to 50

Linking walking patterns to bone strength in ambulatory SMA

Official title: Identification of Gait-related Digital Biomarkers of Bone Health in Spinal Muscular Atrophy

Run by Columbia University · NCT07400198 · Data updated 2026-11-12

This will try to see if wearable insole gait data can predict bone density and fracture risk in ambulatory people with spinal muscular atrophy who are on disease-modifying therapy.

Quick facts

Study typeObservational
Ages8 Years to 50 Years
SexAll
Enrollment22 (estimated)
SponsorColumbia University
Academic / other
Locations1 site (New York, New York)
StatusRecruiting
StartedMarch 5, 2026
Main results expectedJune 30, 2027
Study endsJune 30, 2027
Registry record updatedMarch 18, 2026
Trial IDNCT07400198 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ambulatory people with genetically confirmed 5q SMA, aged 8 to 50, who can walk 10 meters without an assistive device are ideal candidates.

Probably not a fit

Non-ambulatory individuals, people younger than 8 or older than 50, or those with recent injuries or surgeries that affect walking are unlikely to benefit from participation.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational cross-sectional study collects detailed gait data and bone health information from ambulatory children and adults with 5q SMA who are receiving disease-modifying therapy. Participants attend one in-clinic visit (about 3 hours) for instrumented insole gait testing, clinical exams, and bone health measurements, then complete brief remote follow-ups every three months for one year to record fractures and medical history. Researchers will apply machine learning to spatiotemporal and kinetic gait parameters to identify digital biomarkers that differentiate people with and without prior fractures and to build risk profiles for prospective fractures. The protocol is non-interventional and aims to move bone health management from reactive to proactive by improving fracture risk prediction.

Why it matters

Potential benefit: If successful, this could enable earlier detection of fracture risk so clinicians can take steps to protect bone health before fractures occur.

How similar studies have gone: Wearable gait sensors and machine-learning approaches have shown promise in other neuromuscular and bone-health research, but applying these digital biomarkers specifically to SMA remains relatively novel.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Confirmed diagnosis of 5qSMA
* Between 8 and 50 years of age
* Able to walk 10 meters without support or an assistive device
* All participants who meet the inclusion criteria regardless of treatment status will be included, including those on adjuvant therapies, whether investigational or approved

Exclusion Criteria:

* Injury or surgery within previous 3 months that would impact ability to perform in-clinic gait assessments
* Unwilling or unable to comply with all study procedures
* Age less than 8 or over 50 years

Where it's running

  • Columbia University Irving Medical Center
    New York, New York, United States
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.