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Published on: March 28, 2018
Distinct Patterns of Mobility Recovery After Stroke Using Routine Clinical Data
Margaret A French1, Elizabeth B Marsh2, Ryan Roemmich3,4
1Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, USA.
Medrxiv : the Preprint Server for Health Sciences
|July 29, 2026
Summary
Stroke survivors show diverse mobility recovery patterns, not just average trends. Identifying these distinct trajectories can personalize prognostication and guide tailored rehabilitation strategies for better outcomes.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Data Science
Background:
- Stroke recovery in mobility is highly variable among individuals.
- Average recovery patterns obscure significant differences between patients.
- Identifying distinct recovery trajectories is crucial for improved prognostication and rehabilitation.
Purpose of the Study:
- To identify distinct mobility recovery trajectories after stroke.
- To characterize subgroups based on baseline and clinical factors.
- To inform personalized rehabilitation strategies.
Main Methods:
- Retrospective cohort study of 750 adult stroke patients.
- Mobility assessed using Activity Measure for Post-Acute Care (AM-PAC) Basic Mobility.
- Growth mixture modeling identified five distinct recovery trajectories over 180 days.
Main Results:
- Five mobility recovery trajectories were identified: low stable, low improving, mid declining, mid improving, and high stable.
- Subgroups varied significantly in baseline mobility and recovery patterns.
- Improving trajectories were associated with younger age, pre-stroke independence, and inpatient rehabilitation discharge.
Conclusions:
- Distinct mobility recovery trajectories exist in stroke survivors.
- Early identification of trajectory membership can enhance prognostication.
- Tailored rehabilitation strategies based on identified trajectories can optimize patient outcomes.
