Gait and Bone Health in SMA

Last updated: March 16, 2026
Sponsor: Jacqueline Montes
Overall Status: Active - Recruiting

Phase

N/A

Condition

Spinal Muscular Atrophy

Treatment

N/A

Clinical Study ID

NCT07400198
AAAV3667
  • Ages 8-50
  • All Genders

Study Summary

The objective of this study is to understand how spatiotemporal and kinetic gait parameters are associated with bone health in pwSMA who are receiving DMT. We hypothesize that gait parameters are associated with BMD and can determine fracture risk in pwSMA. This is an observational study that involves one in-clinic visit (approximately 3 hours) with remote follow-up visits (approximately 15 minutes) every 3 months for 1 year to collect fracture and medical history. Each of the assessments included in this study are non-interventional and are not intended as a treatment nor are they at the level of standard of care.

Eligibility Criteria

Inclusion

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 willbe included, including those on adjuvant therapies, whether investigational orapproved

Exclusion

Exclusion Criteria:

  • Injury or surgery within previous 3 months that would impact ability to performin-clinic gait assessments

  • Unwilling or unable to comply with all study procedures

  • Age less than 8 or over 50 years

Study Design

Total Participants: 22
Study Start date:
March 05, 2026
Estimated Completion Date:
June 30, 2027

Study Description

Addressing bone health is a high priority and remains a concern for the SMA community despite the availability of DMTs. Fractures often have devastating, irrecoverable impacts on function, especially in ambulatory pwSMA. While the most recent standards of care for SMA recommend annual screening, supportive treatments are not recommended until there has been a fracture, a reactive approach which may not be enough to mitigate LBM. Implementing novel, wearable technology and machine learning (ML) models to identify fracture risk will lead to a proactive approach to manage bone health and attenuate the negative sequalae of fractures. This is an observational cross-sectional study of ambulatory children and adults with SMA. The aims of this study are to (1) Identify gait-related digital biomarkers of bone health in ambulatory pwSMA, (2) Determine the ability of digital biomarkers to differentiate between pwSMA with and without a history of fractures, and (3) Investigate the ability of risk profiles derived from the digital biomarkers to predict prospective fractures over one year.

Connect with a study center

  • Columbia University Irving Medical Center

    New York, New York 10032
    United States

    Active - Recruiting

  • Columbia University Irving Medical Center

    New York 5128581, New York 5128638 10032
    United States

    Site Not Available

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