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J Phys Ther Sci. 2017 Apr;29(4):677-684. doi: 10.1589/jpts.29.677. Epub 2017 Apr 20.

Gait abnormalities in patients with chronic ankle instability can improve following a non-invasive biomechanical therapy: a retrospective analysis.

Journal of physical therapy science

Shay Tenenbaum, Ofir Chechik, Jason Bariteau, Nathan Bruck, Yiftah Beer, Mazen Falah, Ganit Segal, Amit Mor, Avi Elbaz

Affiliations

  1. Department of Orthopedic Surgery, Chaim Sheba Medical Center at TEL: Hashomer, affiliated to the Sackler Faculty of Medicine TEL: Aviv University, Israel.
  2. Department of Orthopedic Surgery, Sourasky Medical Center, Israel.
  3. Department of Orthopedics, Emory University School of Medicine, USA.
  4. Department of Orthopedic Surgery, Assaf Harofeh Medical Center, Israel.
  5. Department of Orthopedic Surgery, Rambam Health Care Campus, Israel.
  6. AposTherapy Research Group, Israel.

PMID: 28533609 PMCID: PMC5430272 DOI: 10.1589/jpts.29.677

Abstract

[Purpose] The purpose of this study was to evaluate the changes in gait patterns and clinical outcomes of patients with chronic ankle instability (CAI) following treatment with a home-based non-invasive biomechanical device. [Subjects and Methods] Thirty-three patients with CAI were compared with 43 healthy controls. Patients underwent a spatiotemporal gait assessment before and three months following treatment. Clinical evaluation was recorded with SF-36 Health Survey and the Foot and Ankle Outcome Score (FAOS). [Results] Significant baseline differences were found between groups. Patients with CAI showed a statistically significant improvement in velocity, cadence, symptomatic limb step length and single limb support over time. Significant improvements in SF-36 PCS and FAOS outcome scores were found in patients with CAI. [Conclusion] Patients with CAI have baseline spatiotemporal gait abnormalities as compared with healthy controls. However, clinical and gait metrics improvement can be expected after 12 weeks of perturbation training using a non-invasive biomechanical device.

Keywords: Biomechanical device; Neuromuscular control; Walking patterns

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