Objective gait analysis following total knee arthroplasty with a smart implant directs early intervention with manipulation under anesthesia

John Dundon, Patrick Aubin, William Hunter
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Abstract

Total knee arthroplasty (TKA) is a procedure increasingly in demand. While advancements in surgical techniques and implant designs have led to low complication rates and improved outcomes following TKA, patient satisfaction has not risen commensurately. Routine care may include clinical assessments, physical therapy notes, and patient reported outcome measures, each of which provides a discrete evaluation but may miss significant changes in daily activities. Here we present the case of a patient who underwent TKA with a tibial implant fitted with an embedded inertial measurement unit capable of providing extensive data on gait kinematics. Despite a successful, well-balanced knee replacement surgery and good clinical outcomes at 2 weeks, by 4.5 weeks post-surgery, she had increased self-reported pain scores and her walking speed, stride length and tibial range of motion (ROM) were declining compared to her TKA peers. The patient was called in to the office for evaluation, 3.5 weeks prior to her scheduled 8-week routine follow up. We proceeded with early manipulation under anesthesia, which lead to normalization of her knee ROM. In this case, gait data from the smart implant alerted us to a TKA patient who was failing to progress, prior to her routine follow-up visit. The daily remotely acquired kinematic data was instrumental in the early recognition and intervention. Availability of objective, trended, high-fidelity gait data from smart implants has the potential to identify clinical concerns early, improve efficiency in care, and increase patient and physician engagement in the recovery process.
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使用智能植入体进行全膝关节置换术后的客观步态分析可指导麻醉下的早期干预操作
全膝关节置换术(TKA)的需求量越来越大。手术技术和植入物设计的进步降低了并发症发生率,改善了 TKA 术后效果,但患者的满意度却没有相应提高。常规护理可能包括临床评估、理疗记录和患者报告的结果测量,每种方法都能提供离散的评估,但可能会遗漏日常活动中的重大变化。在此,我们介绍了一名患者的病例,该患者接受了胫骨全关节置换术,植入的胫骨假体装有嵌入式惯性测量单元,能够提供大量步态运动学数据。尽管患者接受了成功、平衡良好的膝关节置换手术,并且在术后 2 周时取得了良好的临床效果,但在术后 4.5 周时,她自我报告的疼痛评分增加了,与接受 TKA 的同龄人相比,她的行走速度、步幅和胫骨活动范围 (ROM) 都在下降。在预定的 8 周例行随访前 3.5 周,患者被叫到办公室进行评估。我们在麻醉状态下进行了早期手法治疗,使她的膝关节ROM恢复正常。在这个病例中,智能植入体的步态数据提醒我们,一名 TKA 患者在例行随访前的膝关节活动度出现了问题。每天远程获取的运动学数据有助于早期识别和干预。智能植入设备提供的客观、趋势化、高保真步态数据有可能及早发现临床问题,提高护理效率,并增加患者和医生在康复过程中的参与度。
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