
@article{ref1,
title="Relationship between observational Wisconsin Gait Scale, gait deviation index and gait variability index in individuals after stroke",
journal="Archives of physical medicine and rehabilitation",
year="2019",
author="Guzik, Agnieszka and Drużbicki, Mariusz and Maistrello, Lorenza and Turolla, Andrea and Agostini, Michela and Kiper, Paweł",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="OBJECTIVE: To compare results of the observational Wisconsin Gait Scale (WGS) and global gait indexes such as GDI/GVI, constituting an objective method of assessing gait, and taking into account parameters identified during 3-dimensional gait analysis. <br><br>DESIGN: A validation study. SETTING: Rehabilitation Clinic. PARTICIPANTS: 50 individuals after a stroke and 50 healthy individuals without gait disorders INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: 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. <br><br>RESULTS: 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). <br><br>CONCLUSIONS: 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 after stroke, with effectiveness that is comparable to the GDI and GVI indexes.<br><br>Copyright © 2019. Published by Elsevier Inc.<p /> <p>Language: en</p>",
language="en",
issn="0003-9993",
doi="10.1016/j.apmr.2018.12.031",
url="http://dx.doi.org/10.1016/j.apmr.2018.12.031"
}