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Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients

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  • Ta-Sen Wei
  • Peng-Ta Liu
  • Liang-Wey Chang
  • Sen-Yung Liu

Abstract

Background: Falls are the leading cause of injury in stroke patients. However, the cause of a fall is complicated, and several types of risk factors are involved. Therefore, a comprehensive model to predict falls with high sensitivity and specificity is needed. Methods: This study was a prospective study of 112 inpatients in a rehabilitation ward with follow-up interviews in patients’ homes. Evaluations were performed 1 month after stroke and included the following factors: (1) status of cognition, depression, fear of fall and limb spasticity; (2) functional assessments [walking velocity and the Functional Independence Measure (FIM)]; and (3) objective, computerized gait and balance analyses. The outcome variable was the number of accidental falls during the 6-month follow-up period after baseline measurements. Results: The non-faller group exhibited significantly better walking velocity and FIM scale compared to the faller group (P

Suggested Citation

  • Ta-Sen Wei & Peng-Ta Liu & Liang-Wey Chang & Sen-Yung Liu, 2017. "Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    • Handle: RePEc:plo:pone00:0177136
    DOI: 10.1371/journal.pone.0177136
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