Guzik Agnieszka, Drużbicki Mariusz, Przysada Grzegorz, Kwolek Andrzej, Brzozowska-Magoń Agnieszka, Wolan-Nieroda Andżelina
Institute of Physiotherapy of University of Rzeszów, Poland.
Institute of Physiotherapy of University of Rzeszów, Poland; Clinical Rehabilitation Ward of Province Hospital No. 2 in Rzeszów, Poland.
Neurol Neurochir Pol. 2017 Jan-Feb;51(1):60-65. doi: 10.1016/j.pjnns.2016.11.004. Epub 2016 Nov 18.
Due to the increasing incidence and social effects of stroke there is a growing interest in finding methods enabling gait analysis in this group of patients. Observational techniques are predominantly applied in clinical practice; on the other hand advanced quantitative methods allow in-depth multidimensional gait assessment. The present study was designed to assess the consistency between temporospatial gait parameters acquired through 3-dimensional gait analysis and the results of gait assessment with the use of observational WGS in post stroke hemiparetic patients.
The study was performed in a group of 30 post-stroke patients, over 6 months from the onset of ischaemic stroke, who were able to walk unassisted. Gait assessment based on WGS was performed by an experienced physiotherapist, with the use of video recordings. Assessment of temporospatial parameters was based on gait analysis performed with BTS Smart system.
The findings show moderate correlation between WGS based gait assessment and gait velocity (r=-0.39; p=0.0316). Similar relationship was identified between gait cycle duration and score in WGS for both unaffected (r=-0.36; p=0.0477) and affected side (r=-0.37; p=0.0426). Higher correlation level was demonstrated for stance phase on the unaffected side and gait assessment based on WGS (r=0.58; p=0.0009).
Gait assessments with the use of temporospatial parameters and with observational WGS were found to produce moderate and good consistent results. WSG is a useful, simple tool for assessing gait in post stroke hemiparetic patients.
由于中风的发病率和社会影响不断增加，人们对寻找能够对这类患者进行步态分析的方法的兴趣日益浓厚。观察技术主要应用于临床实践；另一方面，先进的定量方法可进行深入的多维步态评估。本研究旨在评估通过三维步态分析获得的时空步态参数与中风后偏瘫患者使用观察性步行分级量表（WGS）进行步态评估的结果之间的一致性。
本研究对30例缺血性中风发病超过6个月、能够独立行走的中风后患者进行。由经验丰富的物理治疗师使用录像对基于WGS的步态进行评估。时空参数评估基于使用BTS Smart系统进行的步态分析。
研究结果表明，基于WGS的步态评估与步态速度之间存在中度相关性（r = -0.39；p = 0.0316）。在未受影响侧（r = -0.36；p = 0.0477）和受影响侧（r = -0.37；p = 0.0426），步态周期时长与WGS评分之间均发现了类似关系。未受影响侧的站立期与基于WGS的步态评估之间显示出更高的相关性水平（r = 0.58；p = 0.0009）。
使用时空参数和观察性WGS进行的步态评估结果显示出中度和良好的一致性。WSG是评估中风后偏瘫患者步态的一种有用且简单的工具。
