Optimizing Detection and Prediction of Changes in Cognitive Function in Multiple Sclerosis (MS)
NCT ID: NCT05252195
Last Updated: 2025-04-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
300 participants
OBSERVATIONAL
2022-05-24
2027-03-31
Brief Summary
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The researchers will determine if ambulatory assessments are sensitive to subtle declines in cognitive functioning. They will also explore the impact of modifiable factors, such as sleep, physical activity, mood, and somatic symptoms on cognitive function. These efforts will uncover behavioral and medical intervention methods. Finally, they will explore whether variability in cognitive functioning predicts short- and long-term changes in other patient-centered functional domains, social participation and physical functioning.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Participants
Participants with Multiple Sclerosis who meet eligibility criteria.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
2. Multiple Sclerosis (MS) diagnosis (confirmed from neurologist, all relapsing and progressive subtypes included)
3. Ambulate either independently or with the use of a cane or walker (or similar device) for at least 50% of the time at baseline
Exclusion Criteria
2. Inability to use study data collection tools (i.e., ActiGraph wrist-worn activity watch, smart phone app).
18 Years
ALL
No
Sponsors
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Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
NIH
Wayne State University
OTHER
University of Washington
OTHER
University of Michigan
OTHER
Responsible Party
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Anna Kratz
Associate Professor of Physical Medicine and Rehabilitation
Principal Investigators
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Anna Kratz
Role: PRINCIPAL_INVESTIGATOR
University of Michigan
Nora Fritz
Role: PRINCIPAL_INVESTIGATOR
Wayne State University
Locations
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University of Michigan
Ann Arbor, Michigan, United States
Wayne State University
Detroit, Michigan, United States
University of Washington
Seattle, Washington, United States
Countries
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References
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Kratz AL, Ehde DM, Alschuler KN, Pickup K, Ginell K, Fritz NE. Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests: Protocol for the Longitudinal Observational CogDetect-MS Study. JMIR Res Protoc. 2024 Sep 26;13:e59876. doi: 10.2196/59876.
Other Identifiers
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HUM00199732
Identifier Type: -
Identifier Source: org_study_id
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