Document Type

Case Report


Physical Therapy & Rehabilitation Science

Degree Name

DPT (Doctor of Physical Therapy)

Session and Year of Graduation

Fall 2017


Laura Frey Law


Background: Each year there are about 17,000 new cases of spinal cord injury (SCI) in the United States. For individuals who suffer a SCI, the restoration of walking consistently ranks as a top priority. Currently, there is strong evidence to support the use of locomotive training for recovery of ambulation following an incomplete spinal cord injury in the sub-acute setting. The purpose of this case report is to demonstrate the application of multiple locomotive training interventions and discuss recommendations for locomotive training following a motor-incomplete SCI. Case description: The patient was a 32-year old male 4 months post motor-incomplete spinal cord injury with an ASIA C classification. His injury occurred at the spinal level C5. At baseline, he presented with a Walking Index for Spinal Cord Injury (WISCI) II score of 6 and was unable to complete the 10-meter walk test (10MWT). Interventions: In this study, multiple locomotive training interventions (Ekso GT, Zero-G dynamic body weight support, HydroWorx, and over ground training) were implemented to facilitate task-specific, massed practice gait training. These interventions were strategically employed to maximize the training dose to optimally influence ambulation recovery. Outcome Measures: The primary outcome measures used in this case were the WISCI II and the 10MWT. The secondary outcome measure used was walking distance. At discharge, the patient demonstrated clinically important improvements in all three outcomes. Discussion: This report was able to demonstrate the utilization of several locomotive training techniques and provide clinicians examples of possible gait training parameters following SCI. There is currently not enough data to synthesize gait training prescription guidelines for individuals with sub-acute SCI thus driving the need for additional large-scale data collection.


Neurologic - Stroke & SCI


9 pages


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