Tawy Gwenllian Fflur, Rowe Philip, Biant Leela
The Department of Biomedical Engineering, University of Strathclyde, Wolfson Centre, 106 Rottenrow, Glasgow, G4 0NW, United Kingdom.
The Department of Trauma & Orthopaedic Surgery, University of Manchester, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL, United Kingdom.
Gait Posture. 2018 Jan;59:272-277. doi: 10.1016/j.gaitpost.2017.08.015. Epub 2017 Aug 18.
Knee osteoarthritis (OA) causes pain, reduced muscular strength and stiffness of the affected joint. In response, the motor control mechanism is altered, potentially compromising stability during acts of daily living. Reduced walking stability can be quantified in terms of gait variability. This study therefore aimed to identify and quantify the effects of knee arthritis on gait variability. Fifty adults (25 males/25 females) with end-stage OA of the knee sufficiently symptomatic to require joint replacement, walked on a self-paced treadmill for 2min. A motion capture system was used to record 50 consecutive gait cycles from each patient. Kinematic variability of gait was analysed using the uncontrolled manifold technique (UCM). The position of the centre of mass (COM) was chosen as the task variable for the analysis. Results showed that our patient cohort were able to maintain a stable COM whilst walking, through adopting variable combinations of hip, knee and ankle kinematics. The greatest magnitudes of instability (based on the UCM ratios) occurred during initial contact and terminal stance. Active extension of the knee joint to approximately 5° is required during these gait cycle events, meaning that these gait events are highly quadriceps dependent. This study identified and quantified components of the gait cycle where patients with knee OA are most unstable. Employment of this technique could therefore allow specific personalised prescription for prehabilitation and rehabilitation.
膝关节骨关节炎(OA)会导致疼痛、受累关节肌肉力量减弱和僵硬。作为回应,运动控制机制会发生改变,这可能会在日常生活活动中损害稳定性。行走稳定性降低可以通过步态变异性来量化。因此,本研究旨在确定并量化膝关节炎对步态变异性的影响。五十名患有晚期膝OA且症状严重到需要进行关节置换的成年人(25名男性/25名女性),在自定速度的跑步机上行走2分钟。使用运动捕捉系统记录每位患者连续的50个步态周期。使用非受控流形技术(UCM)分析步态的运动学变异性。选择质心(COM)的位置作为分析的任务变量。结果表明,我们的患者队列在行走时能够通过采用髋、膝和踝关节运动学的不同组合来维持稳定的COM。最大程度的不稳定(基于UCM比率)发生在初始接触和终末支撑期。在这些步态周期事件中,膝关节需要主动伸展至约5°,这意味着这些步态事件高度依赖股四头肌。本研究确定并量化了膝OA患者最不稳定的步态周期组成部分。因此,采用这项技术可以为术前康复和康复提供特定的个性化处方。