4.4 Article

Characterization of gait in late onset Pompe disease

Journal

MOLECULAR GENETICS AND METABOLISM
Volume 116, Issue 3, Pages 152-156

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymgme.2015.09.001

Keywords

Pompe disease; Neuromuscular disease; GAIThite; Gait analysis; Temporospatial parameters

Funding

  1. National Institutes of Health [T35-DK007386]
  2. Genzyme Corporation of Sanofi
  3. PTC Therapeutics
  4. Leal Foundation
  5. Families of SMA
  6. Enobia Pharma Inc./Alexion
  7. Robertson Foundation
  8. GlaxoSmithKline
  9. Eli Lilly
  10. CINRG
  11. National Skeletal Muscle Research Center
  12. Amicus Therapeutics
  13. Biomarin Pharmaceutical, Inc.
  14. Shire
  15. Advanced Liquid Logic

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The skeletal muscle manifestations of late-onset Pompe disease (LOPD) cause significant gait impairment. However, the specific temporal and spatial characteristics of abnormal gait in LOPD have not been objectively analyzed or described in the literature. This pilot study evaluated the gait of 22 individuals with LOPD using the GAITRite (R) temporospatial gait analysis system. The gait parameters were compared to normal reference values, and correlations were made with standard measures of disease progression. The LOPD population demonstrated significant abnormalities in temporospatial parameters of gait including a trend towards decreased velocity and cadence, a prolonged stance phase, prolonged time in double limb support, shorter step and stride length, and a wider base of support. Precise descriptions and analyses of gait abnormalities have much potential in increasing our understanding of LOPD, especially in regards to how its natural history may be modified by the use of enzyme replacement therapy (ERT) and other interventions. Gait analysis may provide a sensitive early marker of the onset of clinical symptoms and signs, offer an additional objective measure of disease progression and the impact of intervention, and serve as a potentially important clinical endpoint. The additional data from comprehensive gait analysis may personalize and optimize physical therapy management, and the clarification of specific gait patterns in neuromuscular diseases could be of clinical benefit in the ranking of a differential diagnosis. (C) 2015 Elsevier Inc. All rights reserved.

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