Affiliations: [a] Spinal Cord Injury and Disorders Center, Hunter Holmes McGuire VAMC, Richmond, VA, USA | [b] Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, USA
Correspondence:
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Corresponding author: Ashraf S. Gorgey, PT, PhD, Department of Veterans Affairs, Hunter Holmes McGuire Medical Center, Spinal Cord Injury & Disorders Service, 1201 Broad Rock Boulevard, Richmond, VA 23249, USA. Tel.: +1 804 675 5000 ext. 3603; Fax: +1 804 675 5223; E-mail: [email protected]
Abstract: Objectives:Locomotor training (LT) enhances walking in individuals with spinal cord injuries (SCIs). We tested the acute effects of 4 days of LT using BWSTT combined with Robotic Locomotor therapy compared to BWSTT twice weekly. Design:Two non-ambulatory participants with an American Spinal Injury Association Impairment Scale (AIS) D. Both received LT for 2 weeks as a portion of their clinical inpatient rehabilitation program and both used wheelchairs as their primary method of mobility. Over a 2 week period, one participant received a total of 8 visits consisting of manual BWSTT (twice weekly) combined with Robotic locomotor therapy (twice weekly). The other participant preformed manual BWSTT (twice weekly) for a total of 4 visits. Resting energy expenditure, body composition, muscle strength, submaximal oxygen consumption (VO2) and blood lactate during LT were measured pre and post-training. Results:The average maximum voluntary contraction of both knee extensor muscle groups increased by 28–34% with associated reduction in spasticity to the BWSTT participant. Two week interventions resulted in a downward shift of the lactate concentrations for both participants, increase in resting energy expenditure and shift in substrate utilization. Discussion and conclusion:A clinical paradigm of incorporating BWSTT with robotic locomotor therapy for 4 days/ week did not provide additional physiological benefits to skeletal muscle strength, spasticity or metabolic profile compared to twice weekly of LT using BWSTT.
