The use of the Gait Variability Index for the evaluation of individuals after a stroke

Acta Bioeng Biomech. 2018;20(2):171-177.

Abstract

Purpose: The Gait Variability Index (GVI) summarizes overall gait quality, taking into account spatiotemporal parameters from a 3-dimensional gait analysis. However, there are no studies evaluating changes in gait patterns after stroke, based on the GVI. The study was designed to assess usefulness of the GVI for evaluation of gait pathology in subjects with stroke, compared to healthy individuals.

Methods: Spatiotemporal gait parameters were examined in a group of 50 subjects at a chronic stage post-stroke and in 50 healthy controls. The GVI was calculated based on the 9 spatiotemporal data.

Results: The findings show statistically significant differences between the values of the GVI for paretic and non-paretic limbs ( p < 0.001). Higher values of the index were identified in the case of non-paretic limb: 80.74 vs. 76.32. The GVI scores were decreased for both paretic and non-paretic limbs, compared to the controls - p < 0.001.

Conclusions: The GDI score seems to be a viable tool for quantifying changes in gait pattern during evaluation of subjects with chronic post-stroke hemiparesis. Further studies should be conducted to validate the use of GVI in the post-stroke population.

MeSH terms

  • Extremities / physiopathology
  • Female
  • Gait / physiology*
  • Gait Analysis*
  • Humans
  • Male
  • Middle Aged
  • Paresis / physiopathology
  • Stroke / physiopathology*