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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Main Authors: 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
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.621977/full
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spelling 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
collection 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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