Medicine and Health Sciences Commons^™

Walking Improvement In Chronic Incomplete Spinal Cord Injury With Exoskeleton Robotic Training (Wise): A Randomized Controlled Trial, Dylan J. Edwards, Gail Forrest, Mar Cortes, Margaret M. Weightman, Cristina Sadowsky, Shuo-Hsiu Chang, Kimberly Furman, Amy Bialek, Sara Prokup, John Carlow, Leslie Vanhiel, Laura Kemp, Darrell Musick, Marc Campo, Arun Jayaraman

Research outputs 2022 to 2026

Study design:

Clinical trial.

Objective:

To demonstrate that a 12-week exoskeleton-based robotic gait training regimen can lead to a clinically meaningful improvement in independent gait speed, in community-dwelling participants with chronic incomplete spinal cord injury (iSCI).

Setting:

Outpatient rehabilitation or research institute.

Methods:

Multi-site (United States), randomized, controlled trial, comparing exoskeleton gait training (12 weeks, 36 sessions) with standard gait training or no gait training (2:2:1 randomization) in chronic iSCI ( > 1 year post injury, AIS-C, and D), with residual stepping ability. The primary outcome measure was change in robot-independent gait speed (10-meter walk test, 10MWT) post 12-week intervention. Secondary …

Development And Validation Of A Predictive Model Of Acute Glucose Response To Exercise In Individuals With Type 2 Diabetes, Bryan S. Gibson, Sheri R. Colberg, Paul Poirier, Denise Maria Martins Vancea, Jason Jones, Robin Marcus

Human Movement Sciences & Special Education Faculty Publications

Background: Our purpose was to develop and test a predictive model of the acute glucose response to exercise in individuals with type 2 diabetes.

Design and methods: Data from three previous exercise studies (56 subjects, 488 exercise sessions) were combined and used as a development dataset. A mixed-effects Least Absolute Shrinkage Selection Operator (LASSO) was used to select predictors among 12 potential predictors. Tests of the relative importance of each predictor were conducted using the Lindemann Merenda and Gold (LMG) algorithm. Model structure was tested using likelihood ratio tests. Model accuracy in the development dataset was assessed by leave-one-out cross-validation. …

Dependence In Prestroke Mobility Predicts Adverse Outcomes Among Patients With Acute Ischemic Stroke, Mary I. Dallas, Shari Rone-Adams, John L. Echternach, Lawrence M. Bass, Dawn M. Bravata

Rehabilitation Sciences Faculty Publications

Background and Purpose - Stroke survivors are commonly dependent in activities of daily living; however, the relation between prestroke mobility impairment and poststroke outcomes is poorly understood. The primary objective of this study was to evaluate the association between prestroke mobility impairment and 4 poststroke outcomes. The secondary objective was to evaluate the association between prestroke mobility impairment and a plan for physical therapy.

Methods - This was a secondary analysis of the National Stroke Project data, a retrospective cohort of Medicare beneficiaries who were hospitalized with an acute ischemic stroke (1998 to 2001). Logistic-regression modeling was used to examine …