Astephen Janie L, Deluzio Kevin J, Caldwell Graham E, Dunbar Michael J, Hubley-Kozey Cheryl L
School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada.
J Biomech. 2008;41(4):868-76. doi: 10.1016/j.jbiomech.2007.10.016. Epub 2008 Feb 20.
Knee osteoarthritis (OA) is a multifactoral, progressive disease process of the musculoskeletal system. Mechanical factors have been implicated in the progression of knee OA, but the role of altered joint mechanics and neuromuscular control strategies in progressive mechanisms of the disease have not been fully explored. Previous biomechanical studies of knee OA have characterized changes in joint kinematics and kinetics with the disease, but it has been difficult to determine if these biomechanical changes are involved in the development of disease, are in response to degenerative changes in the joint, or are compensatory mechanisms in response to these degenerative changes or other related factors as joint pain. The goal of this study was to explore the association between biomechanical changes and knee OA severity in an effort to understand the changing role of biomechanical factors in the progression of knee OA. A three-group cross-sectional model was used that included asymptomatic subjects, subjects clinically diagnosed with moderate knee OA and severe knee OA subjects just prior to total joint replacement surgery. Principal component analysis and discriminant analysis were used to determine the combinations of electromyography, kinematic and kinetic waveform pattern changes at the knee, hip and ankle joints during gait that optimally separated the three levels of severity. Different biomechanical mechanisms were important in discriminating between severity levels. Changes in knee and hip kinetic patterns and rectus femoris activation were important in separating the asymptomatic and moderate OA gait patterns. In contrast, changes in knee kinematics, hip and ankle kinetics and medial gastrocnemius activity were important in discriminating between the moderate and severe OA gait patterns.
膝关节骨关节炎(OA)是一种多因素的、进行性的肌肉骨骼系统疾病过程。机械因素与膝关节OA的进展有关,但关节力学改变和神经肌肉控制策略在该疾病进展机制中的作用尚未得到充分探索。以往关于膝关节OA的生物力学研究已经描述了该疾病中关节运动学和动力学的变化,但很难确定这些生物力学变化是参与了疾病的发展,是对关节退行性变化的反应,还是作为对这些退行性变化或其他相关因素(如关节疼痛)的补偿机制。本研究的目的是探讨生物力学变化与膝关节OA严重程度之间的关联,以了解生物力学因素在膝关节OA进展中不断变化的作用。使用了三组横断面模型,包括无症状受试者、临床诊断为中度膝关节OA的受试者以及即将进行全关节置换手术的重度膝关节OA受试者。主成分分析和判别分析用于确定步态期间膝关节、髋关节和踝关节处肌电图、运动学和动力学波形模式变化的组合,这些组合能最佳区分三个严重程度级别。不同的生物力学机制在区分严重程度级别方面很重要。膝关节和髋关节动力学模式的变化以及股直肌激活在区分无症状和中度OA步态模式时很重要。相比之下,膝关节运动学、髋关节和踝关节动力学以及腓肠肌内侧活动的变化在区分中度和重度OA步态模式时很重要。