• DocumentCode
    141131
  • Title

    Classifying and predicting endurance outcomes of α2-adrenergic agonist intervention in spinal cord injury

  • Author

    Brown, Geoffrey L. ; Duffell, L.D. ; Mirbagheri, M.M.

  • Author_Institution
    Rehabilitation Inst. of Chicago, Chicago, IL, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    5896
  • Lastpage
    5899
  • Abstract
    Spinal cord injury (SCI) is a traumatic condition that can lead to both functional and neuromuscular impairments. Spasticity in the muscles surrounding the ankle joint caused by hypertonia is often reported as a complication. We investigated whether a pharmacological intervention using Tizanidine, an anti-spastic medication acting as an α2-adrenergic agonist, could lead to improvements in walking endurance. We placed subjects on a 4-week program and measured the change in clinical measures of walking speed, endurance, and mobility. We used growth mixture modeling (GMM) to class subjects into groups based on recovery patterns. Two classes of recovery were found by GMM: high and low functioning. Radom coefficient regression (RCR) was then used to identify significant changes over time. Statistically significant improvements in walking endurance were shown for the high functioning group. However, a small number of subjects in the high functioning group showed improvement greater than the smallest real difference (SRD), which indicates a clinical significance as well. We also investigated the extent to which these recovery patterns can be predicted using baseline measures. Baseline walking endurance was found to be a robust predictor of recovery in walking endurance. Subjects that began the intervention with already higher endurance showed a greater chance of improvement in endurance over time. This information could potentially be used as a fast and reliable assessment tool for clinicians to predict which patient can benefit the most from this intervention prior to prescribing the medication, and thus optimizing cost and resources. Our findings demonstrate that these techniques can be used to characterize and predict the progress of changes to functional impairments due to various types of intervention.
  • Keywords
    drugs; gait analysis; injuries; medical disorders; mixture models; muscle; neurophysiology; patient treatment; random processes; regression analysis; α2-adrenergic agonist intervention; ankle joint; antispastic medication; functional impairments; growth mixture modeling; hypertonia; muscle spasticity; neuromuscular impairments; radom coefficient regression; smallest real difference; spinal cord injury; statistical analysis; time 4 week; tizanidine; traumatic condition; walking endurance; walking mobility; walking speed; Drugs; Joints; Legged locomotion; Muscles; Pain; Reliability; Spinal cord injury; endurance; gait; intervention; locomotion; medication; modeling; prediction; recovery; spasticity; spinal cord injury; tizanidine; treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944970
  • Filename
    6944970