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Relationship between Passive Stretch Resistance in spastic wrist Flexors and Clinical Scales of Stroke Survivors: A Cross-sectional Study

机译:痉挛性腕屈肌被动拉伸阻力与中风幸存者临床量表的关系:一项横断面研究

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Objective: Spasticity is a common motor dysfunction in many neurological diseases, such as stroke, cerebral palsy and Parkinson's disease. The definition of spasticity used before excludes elasticity and viscosity caused by alterations of muscle and tissue properties. In this study, we explored components of passive movement resistance in the wrist flexor in subjects after stroke, and also investigate the correlation between these components and clinical scales such as Modified Ashworth scale(MAS) and Fugl-Meyer Assessment (FMA).Method: A cross-sectional study was performed in 15 stroke survivors. Modified Ashworth Scale and Fugl-Meyer Assessment were assessed by an experienced physical therapist. Components of passive movement resistance in the flexors of wrist and finger were recorded by NeuroFlexor (Aggro MedTech AB, Solna, Sweden), then the average resisting force in 1 second ensued the passive stretch at 5°/s was took as peak resisting force (PRF). The peak resisting force between paretic side and non-paretic side was compared. Pearson's correlation was used to test the relation between the components and Fugl-Meyer Assessment, while Spearman's rank correlation for Modified Ashworth scale and the components.Results: The Peak Resisting Force(PRF) of the paretic side (10.49±1.65N, mean±SD) during the slow passive stretch(5°/s) was significantly higher than the non-paretic side (8.98±1.11N, p<;0.05). Correlations between MAS and the components/peak resisting force were insignificant (Table II). FMA has significant correlations with Neural Component and Elasticity Component of the paretic side (Pearson's correlation, p<;0.05).Conclusions: The higher PRF of slow passive stretch in the paretic side might be attribute to the higher muscle stiffness. Subjects with lower Neural Component or Elasticity Component of the paretic wrist correlated with FMA. These findings could be applied in clinical evaluation of functional performance of the wrist muscle of stroke survivors.
机译:目的:痉挛是许多神经系统疾病(例如中风,脑瘫和帕金森氏病)中常见的运动功能障碍。之前使用的痉挛性定义不包括由肌肉和组织特性改变引起的弹性和粘性。在这项研究中,我们探讨了中风后受试者腕腕屈肌被动运动阻力的成分,并研究了这些成分与临床量表之间的相关性,例如改良的Ashworth量表(MAS)和Fugl-Meyer评估(FMA)。在15名卒中幸存者中进行了横断面研究。改良的Ashworth量表和Fugl-Meyer评估由经验丰富的物理治疗师进行评估。用NeuroFlexor(Aggro MedTech AB,Solna,Sweden)记录手腕和手指屈肌中被动运动阻力的分量,然后将以5°/ s的速度在1秒后产生的平均抵抗力作为最大抵抗力( PRF)。比较了玻璃料面和非玻璃料面之间的峰值阻力。皮尔逊相关性用于检验各成分与Fugl-Meyer评估之间的关系,而Spearman秩相关用于修正的Ashworth量表和各成分之间的关​​系。结果:仿射面的峰值抵抗力(PRF)(10.49±1.65N,平均值±缓慢被动拉伸(5°/ s)时的SD)显着高于非前屈侧(8.98±1.11N,p <; 0.05)。 MAS与组件/峰值阻力之间的相关性微不足道(表II)。 FMA与坐骨侧神经成分和弹性成分有显着相关性(Pearson相关性,p <; 0.05)。结论:坐骨侧缓慢被动拉伸的PRF越高,可能归因于较高的肌肉僵硬度。下肢腕神经成分或弹性成分较低的受试者与FMA相关。这些发现可用于中风幸存者腕部肌肉功能性能的临床评估。

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