Gonzalez-Suarez Consuelo B, Ogerio Christine Grace V, Dela Cruz Angelo R, Roxas Edison A, Fidel Belinda C, Fernandez Ma Roxanne L, Cruz Christopher
Research Center for Health Science, Faculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines.
Department of Physical Medicine and Rehabilitation, Our Lady of Lourdes Hospital, Manila, Philippines.
Arch Rehabil Res Clin Transl. 2020 Nov 25;3(1):100093. doi: 10.1016/j.arrct.2020.100093. eCollection 2021 Mar.
To determine the most important motor impairments that are predictors of gait velocity and spatiotemporal symmetrical ratio in patients with stroke.
Cross-sectional, descriptive analysis study.
Human performance laboratory of the University of Santo Tomas.
Individuals with chronic stroke (N=55; 34 men, 21 women) who are community dwellers.
Not applicable.
The gait velocity and spatiotemporal symmetrical ratio (step length; step, stance, swing, single-leg support, and double-leg support stance times) was determined using Vicon motion capture. We also calculated motor impairment of the leg and foot using Brunnstrom's stages of motor recovery, evaluated muscle strength using the scoring system described by Collin and Wade, and assessed spasticity using by the modified Ashworth Scale.
Regression analysis showed that plantarflexor strength is a predictor of gait velocity and all temporospatial symmetry ratio. Knee flexor and extensor strength are predictors in single-leg support time and double-leg support time symmetry ratio, respectively. On the other hand, hip adductor and quadriceps spasticity are predictors of swing time and step length symmetry ratio.
Different motor impairments are predictors of stroke gait abnormality. Interventions should be focused on these motor impairments to allow for optimal gait rehabilitation results.
确定脑卒中患者中作为步速和时空对称比预测指标的最重要运动障碍。
横断面描述性分析研究。
圣托马斯大学人体运动实验室。
社区居住的慢性脑卒中患者（N = 55；男性34名，女性21名）。
不适用。
使用Vicon运动捕捉系统测定步速和时空对称比（步长；步幅、站立期、摆动期、单腿支撑期和双腿支撑期时间）。我们还使用Brunnstrom运动恢复阶段评估腿部和足部的运动障碍，使用Collin和Wade描述的评分系统评估肌肉力量，并使用改良Ashworth量表评估痉挛程度。
回归分析表明，跖屈肌力量是步速和所有时空对称比的预测指标。屈膝肌和伸膝肌力量分别是单腿支撑期时间和双腿支撑期时间对称比的预测指标。另一方面，髋内收肌和股四头肌痉挛是摆动期时间和步长对称比的预测指标。
不同的运动障碍是脑卒中步态异常的预测指标。干预应聚焦于这些运动障碍，以实现最佳的步态康复效果。
