Relationship Between Observational Wisconsin Gait Scale, Gait Deviation Index, and Gait Variability Index in Individuals Poststroke.


Journal

Archives of physical medicine and rehabilitation
ISSN: 1532-821X
Titre abrégé: Arch Phys Med Rehabil
Pays: United States
ID NLM: 2985158R

Informations de publication

Date de publication:
09 2019
Historique:
received: 07 11 2018
accepted: 11 12 2018
pubmed: 29 1 2019
medline: 25 2 2020
entrez: 29 1 2019
Statut: ppublish

Résumé

To compare results of the observational Wisconsin Gait Scale (WGS) and global gait indexes such as Gait Deviation Index (GDI) and Gait Variability Index (GVI), constituting an objective method of assessing gait, and taking into account parameters identified during 3-dimensional gait analysis (3DGA). A validation study. Rehabilitation clinic. A total of 50 individuals poststroke and 50 individuals without stroke and without gait disorders (N=100). Not applicable. Gait was evaluated using the WGS. GDI and GVI values were acquired using a movement analysis system. The global gait indexes GDI and GVI were determined based on the kinematic and spatiotemporal parameters, respectively. The study showed statistically significant correlations between the parameters of GDI affected leg and WGS total score (R=-0.87), GVI affected leg and WGS total score (R=-0.93), GVI unaffected leg and WGS total score (R=-0.88), GVI affected/unaffected leg and the total score in the assessment of spatiotemporal parameters on the WGS (R=-0.81) as well as GDI affected leg and the total score in the assessment of kinematics parameters on the WGS (R=-0.85). All correlations were strong (0.7<|R|<0.9) or very strong (0.9<|R|<1). WGS scores have a strong or very strong correlation with GDI and GVI. The WGS may be recommended as a substitute tool to be used when 3DGA is unavailable, as it is a useful ordinal scale, enabling simple and accurate observational assessment of gait in patients poststroke, with effectiveness that is comparable to the GDI and GVI.

Identifiants

pubmed: 30690010
pii: S0003-9993(19)30015-2
doi: 10.1016/j.apmr.2018.12.031
pii:
doi:

Banques de données

ANZCTR
['ACTRN12617000436370']

Types de publication

Comparative Study Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1680-1687

Informations de copyright

Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Auteurs

Agnieszka Guzik (A)

Institute of Physiotherapy, Medical Faculty, University of Rzeszow, Rzeszow, Poland. Electronic address: agnieszkadepa2@wp.pl.

Mariusz Drużbicki (M)

Institute of Physiotherapy, Medical Faculty, University of Rzeszow, Rzeszow, Poland.

Lorenza Maistrello (L)

Laboratory of Kinematics and Robotics, Fondazione Ospedale San Camillo IRCCS, Venezia, Italy.

Andrea Turolla (A)

Laboratory of Kinematics and Robotics, Fondazione Ospedale San Camillo IRCCS, Venezia, Italy.

Michela Agostini (M)

Laboratory of Kinematics and Robotics, Fondazione Ospedale San Camillo IRCCS, Venezia, Italy.

Paweł Kiper (P)

Laboratory of Kinematics and Robotics, Fondazione Ospedale San Camillo IRCCS, Venezia, Italy.

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Classifications MeSH