Stroke Rehabilitation Using the TWIST Algorithm

Authors

  • Fathy Mohamed Author

DOI:

https://doi.org/10.5281/6zegnx02

Abstract

Background: Prediction of walking recovery post-stroke is essential for optimizing rehabilitation strategies.
Objective: To present a case applying the TWIST algorithm for walking recovery prognosis and tailored rehabilitation.
Case Presentation: A 59-year-old female with left hemiparesis post-ischemic stroke was assessed at 14 days using TWIST (Trunk control, Walking, and Sitting balance test). The algorithm predicted independent walking by 6 weeks. A program of gait training, balance therapy, and functional strengthening was implemented.
Results: The patient achieved independent ambulation at 7 weeks, consistent with TWIST prediction.
Conclusion: The TWIST algorithm provides a reliable framework for guiding rehabilitation planning and setting realistic expectations for post-stroke recovery.

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Published

2025-08-20

Data Availability Statement

available 

Issue

Vol. 1 No. 1 (2025): Pioneering Perspectives: Foundational Case Reports in Physiotherapy

Section

Articles

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