Quantitative Gait Analysis in Patients with Huntington's Disease.
- Author:
Seon Jong PYO
1
;
Hanjun KIM
;
Il Soo KIM
;
Young Min PARK
;
Mi Jung KIM
;
Hye Mi LEE
;
Seong Beom KOH
Author Information
- Publication Type:Original Article
- Keywords: Huntington's disease; gait analysis; ataxic gait
- MeSH: Diagnosis; Gait*; Humans; Huntington Disease*; Quality of Life; Walking
- From:Journal of Movement Disorders 2017;10(3):140-144
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: Gait disturbance is the main factor contributing to a negative impact on quality of life in patients with Huntington’s disease (HD). Understanding gait features in patients with HD is essential for planning a successful gait strategy. The aim of this study was to investigate temporospatial gait parameters in patients with HD compared with healthy controls. METHODS: We investigated 7 patients with HD. Diagnosis was confirmed by genetic analysis, and patients were evaluated with the Unified Huntington’s Disease Rating Scale (UHDRS). Gait features were assessed with a gait analyzer. We compared the results of patients with HD to those of 7 age- and sex-matched normal controls. RESULTS: Step length and stride length were decreased and base of support was increased in the HD group compared to the control group. In addition, coefficients of variability for step and stride length were increased in the HD group. The HD group showed slower walking velocity, an increased stance/swing phase in the gait cycle and a decreased proportion of single support time compared to the control group. Cadence did not differ significantly between groups. Among the UHDRS subscores, total motor score and total behavior score were positively correlated with step length, and total behavior score was positively correlated with walking velocity in patients with HD. CONCLUSION: Increased variability in step and stride length, slower walking velocity, increased stance phase, and decreased swing phase and single support time with preserved cadence suggest that HD gait patterns are slow, ataxic and ineffective. This study suggests that quantitative gait analysis is needed to assess gait problems in HD.
