C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction Study
ObjectiveEfficient 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.MethodPeople with PD (PWP) diagnosis (Hoehn and...
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doaj-35c9412d8ffc4be19bd2f693a46440722021-03-22T06:43:07ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612021-03-011510.3389/fnhum.2021.621977621977C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction StudyZi-Yan Chen0Hong-Jiao Yan1Lin Qi2Qiao-Xia Zhen3Cui Liu4Ping Wang5Yong-Hong Liu6Rui-Dan Wang7Yan-Jun Liu8Jin-Ping Fang9Yuan Su10Xiao-Yan Yan11Ai-Xian Liu12Jianing Xi13Boyan Fang14Beijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaPeking University Clinical Research Institute, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaBeijing Rehabilitation Hospital, Capital Medical University, Beijing, ChinaObjectiveEfficient 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.MethodPeople 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.ResultIn 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.ConclusionC-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.https://www.frontiersin.org/articles/10.3389/fnhum.2021.621977/fullParkinson’s diseaseC-Gait assessmentwalking adaptabilityfreezing of gaitrehabilitation |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zi-Yan Chen Hong-Jiao Yan Lin Qi Qiao-Xia Zhen Cui Liu Ping Wang Yong-Hong Liu Rui-Dan Wang Yan-Jun Liu Jin-Ping Fang Yuan Su Xiao-Yan Yan Ai-Xian Liu Jianing Xi Boyan Fang |
spellingShingle |
Zi-Yan Chen Hong-Jiao Yan Lin Qi Qiao-Xia Zhen Cui Liu Ping Wang Yong-Hong Liu Rui-Dan Wang Yan-Jun Liu Jin-Ping Fang Yuan Su Xiao-Yan Yan Ai-Xian Liu Jianing Xi Boyan Fang C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction Study Frontiers in Human Neuroscience Parkinson’s disease C-Gait assessment walking adaptability freezing of gait rehabilitation |
author_facet |
Zi-Yan Chen Hong-Jiao Yan Lin Qi Qiao-Xia Zhen Cui Liu Ping Wang Yong-Hong Liu Rui-Dan Wang Yan-Jun Liu Jin-Ping Fang Yuan Su Xiao-Yan Yan Ai-Xian Liu Jianing Xi Boyan Fang |
author_sort |
Zi-Yan Chen |
title |
C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction Study |
title_short |
C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction Study |
title_full |
C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction Study |
title_fullStr |
C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction Study |
title_full_unstemmed |
C-Gait for Detecting Freezing of Gait in the Early to Middle Stages of Parkinson’s Disease: A Model Prediction Study |
title_sort |
c-gait for detecting freezing of gait in the early to middle stages of parkinson’s disease: a model prediction study |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Human Neuroscience |
issn |
1662-5161 |
publishDate |
2021-03-01 |
description |
ObjectiveEfficient 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.MethodPeople 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.ResultIn 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.ConclusionC-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. |
topic |
Parkinson’s disease C-Gait assessment walking adaptability freezing of gait rehabilitation |
url |
https://www.frontiersin.org/articles/10.3389/fnhum.2021.621977/full |
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