Machine Learning Arthroplasty Lab, Cleveland Clinic, Cleveland, OH.
Department of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX.
J Arthroplasty. 2019 Oct;34(10):2253-2259. doi: 10.1016/j.arth.2019.05.021. Epub 2019 May 16.
Recent technologic advances capable of measuring outcomes after total knee arthroplasty (TKA) are critical in quantifying value-based care. Traditionally accomplished through office assessments and surveys with variable follow-up, this strategy lacks continuous and complete data. The primary objective of this study was to validate the feasibility of a remote patient monitoring (RPM) system in terms of the frequency of data interruptions and patient acceptance. Second, we report pilot data for (1) mobility; (2) knee range of motion, (3) patient-reported outcome measures (PROMs); (4) opioid use; and (5) home exercise program (HEP) compliance.
A pilot cohort of 25 patients undergoing primary TKA for osteoarthritis was enrolled. Patients downloaded the RPM mobile application preoperatively to collect baseline activity and PROMs data, and the wearable knee sleeve was paired to the smartphone during admission. The following was collected up to 3 months postoperatively: mobility (step count), range of motion, PROMs, opioid consumption, and HEP compliance. Validation was determined by acquisition of continuous data and patient tolerance at semistructured interviews 3 months after operation.
Of the 25 enrolled patients, 100% had uninterrupted passive data collection. Of the 22 available for follow-up interviews, all found the system motivating and engaging. Mean mobility returned to baseline within 6 weeks and exceeded preoperative baseline by 30% at 3 months. Mean knee flexion achieved was 119°, which did not differ from clinic measurements (P = .31). Mean KOOS improvement was 39.3 after 3 months (range: 3-60). Opioid use typically stopped by postoperative day 5. HEP compliance was 62% (range: 0%-99%).
In this pilot study, we established the ability to remotely acquire continuous data for patients undergoing TKA, who found the application to be engaging. RPM offers the newfound ability to more completely evaluate the patients undergoing TKA in terms of mobility and rehabilitation compliance. Study with more patients is required to establish clinical significance.
最近在全膝关节置换术(TKA)后能够测量结果的技术进步对于量化基于价值的护理至关重要。传统上通过具有可变随访的办公室评估和调查来完成,这种策略缺乏连续和完整的数据。本研究的主要目的是验证远程患者监测(RPM)系统在数据中断频率和患者接受程度方面的可行性。其次,我们报告了关于(1)活动能力;(2)膝关节活动范围;(3)患者报告的结果测量指标(PROMs);(4)阿片类药物使用;(5)家庭锻炼计划(HEP)依从性的试点数据。
招募了 25 名患有骨关节炎的患者进行初次 TKA。患者在术前下载 RPM 移动应用程序,以收集基线活动和 PROMs 数据,并在住院期间将可穿戴式膝套与智能手机配对。术后最多可收集 3 个月的数据:活动能力(步数)、活动范围、PROMs、阿片类药物使用和 HEP 依从性。通过在术后 3 个月进行半结构化访谈,获取连续数据和患者耐受性来确定验证。
在 25 名入组的患者中,有 100%的患者能够不间断地收集被动数据。在 22 名可进行随访访谈的患者中,所有患者都认为该系统具有激励性和吸引力。活动能力在 6 周内恢复到基线水平,在 3 个月时比术前基线水平高出 30%。平均膝关节屈曲度为 119°,与临床测量值无差异(P=0.31)。3 个月后 KOOS 改善平均为 39.3(范围:3-60)。阿片类药物的使用通常在术后第 5 天停止。HEP 依从性为 62%(范围:0%-99%)。
在这项试点研究中,我们成功地实现了对接受 TKA 的患者进行远程连续数据采集,患者认为该应用程序具有吸引力。RPM 提供了一种新的能力,可以更全面地评估接受 TKA 的患者在活动能力和康复依从性方面的情况。需要更多的患者研究来确定其临床意义。