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Relationship Between Observational Wisconsin Gait Scale,Gait Deviation Index,and Gait Variability Index in Individuals Poststroke
Authors:Agnieszka Guzik  Mariusz Drużbicki  Lorenza Maistrello  Andrea Turolla  Michela Agostini  Paweł Kiper
Affiliation:1. Institute of Physiotherapy, Medical Faculty, University of Rzeszow, Rzeszow, Poland;2. Laboratory of Kinematics and Robotics, Fondazione Ospedale San Camillo IRCCS, Venezia, Italy
Abstract:
ObjectiveTo 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).DesignA validation study.SettingRehabilitation clinic.ParticipantsA total of 50 individuals poststroke and 50 individuals without stroke and without gait disorders (N=100).InterventionsNot applicable.Main Outcome MeasuresGait 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.ResultsThe 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).ConclusionsWGS 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.
Keywords:Corresponding author Agnieszka Guzik, PhD, Institute of Physiotherapy, Medical Faculty, University of Rzeszow, Hoffmanowej 25, 35-310 Rzeszów, Poland.  Gait  Gait analysis  Rehabilitation  Stroke  3D  3-dimensional  3DGA  3-dimensional gait analysis  GDI  Gait Deviation Index  GVI  Gait Variability Index  GGI  Gillette Gait Index  ROC  receiver operating characteristic  WGS  Wisconsin Gait Scale
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