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Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease

BACKGROUND: Axial disturbances are the most disabling symptoms of Parkinson’s disease (PD). Kinect-based objective measures could extract motion characteristics with high reliability and validity. PURPOSE: The present research aimed to quantify the therapy–response of axial motor symptoms to daily m...

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Autores principales: Wu, Zhuang, Hong, Ronghua, Li, Shuangfang, Peng, Kangwen, Lin, Ao, Gao, Yichen, Jin, Yue, Su, Xiaoyun, Zhi, Hongping, Guan, Qiang, Pan, Lizhen, Jin, Lingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389404/
https://www.ncbi.nlm.nih.gov/pubmed/35992587
http://dx.doi.org/10.3389/fnagi.2022.901090
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author Wu, Zhuang
Hong, Ronghua
Li, Shuangfang
Peng, Kangwen
Lin, Ao
Gao, Yichen
Jin, Yue
Su, Xiaoyun
Zhi, Hongping
Guan, Qiang
Pan, Lizhen
Jin, Lingjing
author_facet Wu, Zhuang
Hong, Ronghua
Li, Shuangfang
Peng, Kangwen
Lin, Ao
Gao, Yichen
Jin, Yue
Su, Xiaoyun
Zhi, Hongping
Guan, Qiang
Pan, Lizhen
Jin, Lingjing
author_sort Wu, Zhuang
collection PubMed
description BACKGROUND: Axial disturbances are the most disabling symptoms of Parkinson’s disease (PD). Kinect-based objective measures could extract motion characteristics with high reliability and validity. PURPOSE: The present research aimed to quantify the therapy–response of axial motor symptoms to daily medication regimen and to explore the correlates of the improvement rate (IR) of axial motor symptoms based on a Kinect camera. MATERIALS AND METHODS: We enrolled 44 patients with PD and 21 healthy controls. All 65 participants performed the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale part III and the Kinect-based kinematic evaluation to assess arising from a chair, gait, posture, and postural stability before and after medication. Spearman’s correlation analysis and multiple linear regression model were performed to explore the relationships between motor feature IR and clinical data. RESULTS: All the features arising from a chair (P = 0.001), stride length (P = 0.001), velocity (P < 0.001), the height of foot lift (P < 0.001), and turning time (P = 0.001) improved significantly after a daily drug regimen in patients with PD. In addition, the anterior trunk flexion (lumbar level) exhibited significant improvement (P = 0.004). The IR of the axial motor symptoms score was significantly correlated with the IRs of kinematic features for gait velocity, stride length, foot lift height, and sitting speed (r(s) = 0.345, P = 0.022; r(s) = 0.382, P = 0.010; r(s) = 0.314, P = 0.038; r(s) = 0.518, P < 0.001, respectively). A multivariable regression analysis showed that the improvement in axial motor symptoms was associated with the IR of gait velocity only (β = 0.593, 95% CI = 0.023–1.164, P = 0.042). CONCLUSION: Axial symptoms were not completely drug-resistant, and some kinematic features can be improved after the daily medication regimen of patients with PD.
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spelling pubmed-93894042022-08-20 Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease Wu, Zhuang Hong, Ronghua Li, Shuangfang Peng, Kangwen Lin, Ao Gao, Yichen Jin, Yue Su, Xiaoyun Zhi, Hongping Guan, Qiang Pan, Lizhen Jin, Lingjing Front Aging Neurosci Aging Neuroscience BACKGROUND: Axial disturbances are the most disabling symptoms of Parkinson’s disease (PD). Kinect-based objective measures could extract motion characteristics with high reliability and validity. PURPOSE: The present research aimed to quantify the therapy–response of axial motor symptoms to daily medication regimen and to explore the correlates of the improvement rate (IR) of axial motor symptoms based on a Kinect camera. MATERIALS AND METHODS: We enrolled 44 patients with PD and 21 healthy controls. All 65 participants performed the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale part III and the Kinect-based kinematic evaluation to assess arising from a chair, gait, posture, and postural stability before and after medication. Spearman’s correlation analysis and multiple linear regression model were performed to explore the relationships between motor feature IR and clinical data. RESULTS: All the features arising from a chair (P = 0.001), stride length (P = 0.001), velocity (P < 0.001), the height of foot lift (P < 0.001), and turning time (P = 0.001) improved significantly after a daily drug regimen in patients with PD. In addition, the anterior trunk flexion (lumbar level) exhibited significant improvement (P = 0.004). The IR of the axial motor symptoms score was significantly correlated with the IRs of kinematic features for gait velocity, stride length, foot lift height, and sitting speed (r(s) = 0.345, P = 0.022; r(s) = 0.382, P = 0.010; r(s) = 0.314, P = 0.038; r(s) = 0.518, P < 0.001, respectively). A multivariable regression analysis showed that the improvement in axial motor symptoms was associated with the IR of gait velocity only (β = 0.593, 95% CI = 0.023–1.164, P = 0.042). CONCLUSION: Axial symptoms were not completely drug-resistant, and some kinematic features can be improved after the daily medication regimen of patients with PD. Frontiers Media S.A. 2022-08-05 /pmc/articles/PMC9389404/ /pubmed/35992587 http://dx.doi.org/10.3389/fnagi.2022.901090 Text en Copyright © 2022 Wu, Hong, Li, Peng, Lin, Gao, Jin, Su, Zhi, Guan, Pan and Jin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Aging Neuroscience
Wu, Zhuang
Hong, Ronghua
Li, Shuangfang
Peng, Kangwen
Lin, Ao
Gao, Yichen
Jin, Yue
Su, Xiaoyun
Zhi, Hongping
Guan, Qiang
Pan, Lizhen
Jin, Lingjing
Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease
title Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease
title_full Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease
title_fullStr Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease
title_full_unstemmed Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease
title_short Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease
title_sort technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with parkinson’s disease
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389404/
https://www.ncbi.nlm.nih.gov/pubmed/35992587
http://dx.doi.org/10.3389/fnagi.2022.901090
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