Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical Study

It is challenging to discriminate the early presentation of Degenerative Cervical Myelopathy (DCM) as well as sensitively and accurately distinguishing between mild, moderate, and severe levels of impairment. As gait dysfunction is one of the cardinal symptoms of DCM, we hypothesized that spatiotemp...

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Main Authors: Sukhvinder Kalsi-Ryan, Anna C. Rienmueller, Lauren Riehm, Colin Chan, Daniel Jin, Allan R. Martin, Jetan H. Badhiwala, Muhammad A. Akbar, Eric M. Massicotte, Michael G. Fehlings
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/9/3/752
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spelling doaj-afb094ff64154771a9a134004c1fe1272020-11-25T03:10:36ZengMDPI AGJournal of Clinical Medicine2077-03832020-03-019375210.3390/jcm9030752jcm9030752Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical StudySukhvinder Kalsi-Ryan0Anna C. Rienmueller1Lauren Riehm2Colin Chan3Daniel Jin4Allan R. Martin5Jetan H. Badhiwala6Muhammad A. Akbar7Eric M. Massicotte8Michael G. Fehlings9KITE-UHN, Toronto, ON M5G 2A2, CanadaSpine Program; Krembil Brain Institute; University Health Network, Toronto, ON M5T 2S8, CanadaSpine Program; Krembil Brain Institute; University Health Network, Toronto, ON M5T 2S8, CanadaSpine Program; Krembil Brain Institute; University Health Network, Toronto, ON M5T 2S8, CanadaDepartment of Kinesiology, University of Waterloo, Waterloo, ON N2L 3G1, CanadaSpine Program; Krembil Brain Institute; University Health Network, Toronto, ON M5T 2S8, CanadaSpine Program; Krembil Brain Institute; University Health Network, Toronto, ON M5T 2S8, CanadaSpine Program; Krembil Brain Institute; University Health Network, Toronto, ON M5T 2S8, CanadaSpine Program; Krembil Brain Institute; University Health Network, Toronto, ON M5T 2S8, CanadaSpine Program; Krembil Brain Institute; University Health Network, Toronto, ON M5T 2S8, CanadaIt is challenging to discriminate the early presentation of Degenerative Cervical Myelopathy (DCM) as well as sensitively and accurately distinguishing between mild, moderate, and severe levels of impairment. As gait dysfunction is one of the cardinal symptoms of DCM, we hypothesized that spatiotemporal gait parameters, including the enhanced gait variability index (eGVI), could be used to sensitively discriminate between different severities of DCM. A total of 153 patients recently diagnosed with DCM were recruited and stratified on the basis of DCM severity grades, as measured using the modified Japanese Orthopedic Association (mJOA) scale. Demographic information and neurological status were collected. Gait assessments were performed using an 8 m walkway. Spearman rank correlation was used to identify relationships between gait parameters and mJOA values as well as the mJOA lower extremity (LE) subscore. Kruskal&#8722;Wallis H test was performed to evaluate differences between severity groups, as defined by mJOA classification. A significant and relatively strong correlation was found between the mJOA score and eGVI, as well as between the LE subscore of the mJOA and eGVI. Significant differences in the eGVI (X<sup>2</sup>(2, N = 153) = 55.04, <i>p</i> &lt; 0.0001, &#949;2 = 0.36) were found between all groups of DCM severity, with a significant increase in the eGVI as DCM progressed from mild to moderate. The eGVI was the most discriminative gait parameter, which facilitated objective differentiation between varying severities of DCM. Quantitative gait assessments show promise as an accurate and objective tool to diagnose and classify DCM, as well as to potentially evaluate the impact of therapeutic interventions.https://www.mdpi.com/2077-0383/9/3/752degenerative cervical myelopathyphysical impairmentgaitlocomotiongait assessmentenhanced gait variability index
collection DOAJ
language English
format Article
sources DOAJ
author Sukhvinder Kalsi-Ryan
Anna C. Rienmueller
Lauren Riehm
Colin Chan
Daniel Jin
Allan R. Martin
Jetan H. Badhiwala
Muhammad A. Akbar
Eric M. Massicotte
Michael G. Fehlings
spellingShingle Sukhvinder Kalsi-Ryan
Anna C. Rienmueller
Lauren Riehm
Colin Chan
Daniel Jin
Allan R. Martin
Jetan H. Badhiwala
Muhammad A. Akbar
Eric M. Massicotte
Michael G. Fehlings
Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical Study
Journal of Clinical Medicine
degenerative cervical myelopathy
physical impairment
gait
locomotion
gait assessment
enhanced gait variability index
author_facet Sukhvinder Kalsi-Ryan
Anna C. Rienmueller
Lauren Riehm
Colin Chan
Daniel Jin
Allan R. Martin
Jetan H. Badhiwala
Muhammad A. Akbar
Eric M. Massicotte
Michael G. Fehlings
author_sort Sukhvinder Kalsi-Ryan
title Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical Study
title_short Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical Study
title_full Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical Study
title_fullStr Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical Study
title_full_unstemmed Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical Study
title_sort quantitative assessment of gait characteristics in degenerative cervical myelopathy: a prospective clinical study
publisher MDPI AG
series Journal of Clinical Medicine
issn 2077-0383
publishDate 2020-03-01
description It is challenging to discriminate the early presentation of Degenerative Cervical Myelopathy (DCM) as well as sensitively and accurately distinguishing between mild, moderate, and severe levels of impairment. As gait dysfunction is one of the cardinal symptoms of DCM, we hypothesized that spatiotemporal gait parameters, including the enhanced gait variability index (eGVI), could be used to sensitively discriminate between different severities of DCM. A total of 153 patients recently diagnosed with DCM were recruited and stratified on the basis of DCM severity grades, as measured using the modified Japanese Orthopedic Association (mJOA) scale. Demographic information and neurological status were collected. Gait assessments were performed using an 8 m walkway. Spearman rank correlation was used to identify relationships between gait parameters and mJOA values as well as the mJOA lower extremity (LE) subscore. Kruskal&#8722;Wallis H test was performed to evaluate differences between severity groups, as defined by mJOA classification. A significant and relatively strong correlation was found between the mJOA score and eGVI, as well as between the LE subscore of the mJOA and eGVI. Significant differences in the eGVI (X<sup>2</sup>(2, N = 153) = 55.04, <i>p</i> &lt; 0.0001, &#949;2 = 0.36) were found between all groups of DCM severity, with a significant increase in the eGVI as DCM progressed from mild to moderate. The eGVI was the most discriminative gait parameter, which facilitated objective differentiation between varying severities of DCM. Quantitative gait assessments show promise as an accurate and objective tool to diagnose and classify DCM, as well as to potentially evaluate the impact of therapeutic interventions.
topic degenerative cervical myelopathy
physical impairment
gait
locomotion
gait assessment
enhanced gait variability index
url https://www.mdpi.com/2077-0383/9/3/752
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