Daily Activity of TKR Patients as Input for Wear Testing

TKR 患者的日常活动作为磨损测试的输入

• 批准号: 7284269
• 负责人: Markus Anton Wimmer
• 金额: $ 7.19万
• 依托单位: RUSH UNIVERSITY MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7284269
• 关键词: 3-Dimensional; Accounting; Affect; Area; Arthritis; Articular Range of Motion; Bicycling; Classification; Communities; Condition; Daily; Data; Degenerative polyarthritis; Disease; Evaluation; Event; Failure; Femur; Frequencies; Future; Gait; Goals; Guidelines; Health; Home environment; Hour; Implant; Individual; Information Retrieval; International; Investigation; Joints; Kinetics; Knee; Knee Injuries; Knee Prosthesis; Knee joint; Laboratories; Measurement; Mechanics; Methods; Monitor; Motion; Movement; Numbers; Operative Surgical Procedures; Pain; Patients; Pattern; Personal Satisfaction; Physical activity; Pilot Projects; Play; Population Replacements; Procedures; Process; Prosthesis; Range of motion exercise; Relative (related person); Role; Standards of Weights and Measures; Techniques; Testing; Time; Total Hip Replacement; United States; Walking; base; cooking; day; design; improved; improved functioning; in vivo; kinematics; knee replacement arthroplasty; mathematical model; pre-clinical; simulation; success; tibia

DESCRIPTION (provided by applicant): Total knee replacement (TKR) has shown increasing success in relieving pain and improving function for patients suffering from knee injury and/or disease. Despite this success, knee implant failure due to wear is still a prominent problem usually leading to revision surgery. Simulators mimicking the motions and loads of knee joints are widely used to evaluate and improve future designs of knee prostheses. However, the input data currently used for simulation is based on typical normal subjects during level walking although there is evidence that more than 75% of patients with a total knee prosthesis walk abnormally. Daily activity levels, realistic knee joint loads and knee motion profiles during these activities, as well as their impact on the wear of the prosthesis for TKR patients are largely unknown. In order to provide accurate input data for preclinical wear testing, we will test the hypothesis that patients with a TKR demonstrate a different motion and load profile during daily physical activities than what is currently used in knee joint simulators. Our preliminary data indicate that in a Swiss TKR population, only 10% of daily activities was spent on "level walking". In addition, the knee joint of these patients most often crossed the 30 degree flexion level, in contrast with the simulator, which crosses the 10 degree level most frequently. This data highlights the discrepancies found between the functional use of the knee joint in the patient's home and community and what is currently used as input data for joint simulators. We will test our hypothesis in TKR subjects who have a Miller-Galante (MG) or Miller-Galante type II (MGII) prosthesis. Subjects will wear an activity monitor for one day which will provide data on their activity level and knee range of motion throughout the day. Subjects will also participate in motion analysis (point cluster technique) which will provide more accurate measurements of the 3-D movement of the knee during these daily activities. Based on the kinematic and kinetic in vivo data derived in the motion laboratory, we will calculate contact forces using a mathematical model of the artificial knee.

描述(申请人提供)：全膝关节置换术(TKR)在缓解膝关节损伤和/或疾病患者的疼痛和改善功能方面取得了越来越大的成功。尽管取得了这样的成功，但由于磨损导致的膝关节植入物失败仍然是一个突出的问题，通常会导致翻修手术。模拟膝关节运动和载荷的模拟器被广泛用于评估和改进未来的膝关节假体设计。然而，目前用于模拟的输入数据是基于水平行走过程中的典型正常受试者，尽管有证据表明，超过75%的全膝关节假体患者行走异常。这些活动中的日常活动水平、实际膝关节负荷和膝关节运动轮廓，以及它们对TKR患者假体磨损的影响在很大程度上是未知的。为了为临床前磨损测试提供准确的输入数据，我们将检验这样一种假设，即TKR患者在日常身体活动中表现出不同于目前在膝关节模拟器中使用的运动和负荷分布的假设。我们的初步数据表明，在瑞士TKR人群中，只有10%的日常活动花在了“水平行走”上。此外，这些患者的膝关节最常超过30度屈曲水平，而模拟器最常超过10度水平。这一数据突出了患者家中和社区中膝关节的功能使用与目前用作关节模拟器输入数据之间的差异。我们将在接受Miller-Galante(MG)或Miller-Galante II型(MGII)假体的TKR受试者中测试我们的假设。受试者将佩戴一天的活动监测器，该监测器将提供他们全天的活动水平和膝盖活动范围的数据。受试者还将参与运动分析(点群技术)，这将在这些日常活动中提供更准确的膝关节三维运动测量。基于运动实验室中获得的运动学和体内运动学数据，我们将使用人工膝关节的数学模型来计算接触力。