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C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson's Disease: A Model Prediction Study.
Chen, Zi-Yan; Yan, Hong-Jiao; Qi, Lin; Zhen, Qiao-Xia; Liu, Cui; Wang, Ping; Liu, Yong-Hong; Wang, Rui-Dan; Liu, Yan-Jun; Fang, Jin-Ping; Su, Yuan; Yan, Xiao-Yan; Liu, Ai-Xian; Xi, Jianing; Fang, Boyan.
Afiliación
  • Chen ZY; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Yan HJ; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Qi L; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Zhen QX; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Liu C; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Wang P; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Liu YH; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Wang RD; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Liu YJ; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Fang JP; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Su Y; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Yan XY; Peking University Clinical Research Institute, Beijing, China.
  • Liu AX; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Xi J; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
  • Fang B; Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Front Hum Neurosci ; 15: 621977, 2021.
Article en En | MEDLINE | ID: mdl-33828470
OBJECTIVE: Efficient methods for assessing walking adaptability in individuals with Parkinson's disease (PD) are urgently needed. Therefore, this study aimed to assess C-Gait for detecting freezing of gait (FOG) in patients with early- to middle-stage PD. METHOD: People with PD (PWP) diagnosis (Hoehn and Yahr stages 1-3) were recruited from April 2019 to November 2019 in Beijing Rehabilitation Hospital. The participants performed six items of walking adaptability on an instrumented treadmill augmented with visual targets and obstacles (C-Mill). The patient's walking adaptability was evaluated by C-Gait assessment and traditional walking tests, and FOG-related indexes were collected as outcome measures. Two discriminant models were established by stepwise discriminant analysis; area under the receiver operating characteristic (ROC) curve (AUC) was used to validate the models. RESULT: In total, 53 patients were included in this study. Most C-Gait assessment items had no or low correlations with traditional walking tests. The obstacle avoidance (r = -0.639, P = 0.003) and speed of adaptation (r = -0.486, P = 0.035) items could lead to FOG with high sensitivity. In addition, the C-Gait assessment model (AUC = 0.755) had slightly better discrimination of freezers from non-freezers compared with traditional walking test models (AUC = 0.672); specifically, obstacle avoidance and speed of adaptation have uniquely discriminant potential. CONCLUSION: C-gait assessment could provide additional value to the traditional walking tests for PD. Gait adaptability assessment, as measured by C-Gait, may be able to help identify freezers in a PD population.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Hum Neurosci Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Hum Neurosci Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza