• Douglas J Lorenz, Somnath Datta, and Susan J Harkema.
• Department of Bioinformatics and Biostatistics, School of Public Health and Information Science, University of Louisville, Louisville, KY, USA.
• Arch Phys Med Rehabil. 2012 Sep 1; 93 (9): 1541-52.

ObjectiveTo model the progression of 3 functional outcome measures from patients with incomplete spinal cord injury (SCI) receiving standardized locomotor training.DesignObservational cohort.SettingThe NeuroRecovery Network (NRN), a specialized network of treatment centers providing standardized, activity-based therapy for SCI patients.ParticipantsPatients (N=337) with incomplete SCI (grade C or D on the International Standards for Neurological Classification of Spinal Cord Injury scale) who were enrolled in the NRN between February 2008 and March 2011.InterventionAll enrolled patients received standardized locomotor training sessions, as established by NRN protocol, and were evaluated monthly for progress.Main Outcome MeasuresBerg Balance Scale, 6-minute walk test, and 10-meter walk test. Progression over time was analyzed via the fitting of linear mixed effects models.ResultsThere was significant improvement on each outcome measure and significant attenuation of improvement over time. Patients varied significantly across groups defined by recovery status and American Spinal Injury Association Impairment Scale (AIS) grade at enrollment with respect to baseline performance and rates of change over time. Time since SCI was a significant determinant of the rate of recovery for all measures.ConclusionsLocomotor training, as implemented in the NRN, results in significant improvement in functional outcome measures as treatment sessions accumulate. Variability in patterns of recovery over time suggest that time since SCI and patient functional status at enrollment, as measured by the Neuromuscular Recovery Scale, are important predictors of performance and recovery as measured by the targeted outcome measures.Copyright © 2012 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

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