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Can simple clinical tests predict walking ability after prosthetic rehabilitation?
Kate Sansam1, Rory J O'Connor, Vera Neumann
1Academic Department of Rehabilitation Medicine, Faculty of Medicine and Health, University of Leeds, Level D, Martin Wing, Leeds General Infirmary, Great George Street, Leeds LS1 3EX, United Kingdom. katesansam@hotmail.com
Journal of Rehabilitation Medicine
|October 6, 2012
Summary
Simple clinical assessments before prosthetic fitting can predict walking ability in lower limb amputees. These factors, including age and cognitive flexibility, aid in rehabilitation outcome prediction.
Area of Science:
- Rehabilitation Medicine
- Prosthetics
- Clinical Biomechanics
Background:
- Lower limb prosthetic rehabilitation aims to restore mobility.
- Predicting post-rehabilitation walking ability is crucial for patient management.
- Identifying predictive factors can optimize rehabilitation strategies.
Purpose of the Study:
- To determine if pre-prosthetic clinical measures can predict walking ability.
- To identify key factors influencing mobility outcomes after prosthetic rehabilitation.
Main Methods:
- Prospective observational study of 95 adults undergoing lower limb prosthetic rehabilitation.
- Collected baseline data on clinical factors including demographics, comorbidities, physical, mood, and cognitive status.
- Used backward step linear regression to identify predictors of Timed Up and Go test performance.
Main Results:
- 71 participants completed the walking test.
- A regression model explained 58.8% of the variance in walking ability (adjusted R² = 0.588).
- Predictive factors included age, gender, amputation level, contracture, single-leg stance ability, and cognitive flexibility (Trail Making Tests A+B).
Conclusions:
- Pre-prosthetic clinical assessments are valuable for predicting mobility outcomes.
- These findings suggest simple, readily available measures can guide prosthetic rehabilitation.
- Further validation in larger, diverse populations is recommended for clinical integration.
