From One-Size-Fits-All to Data-Driven Recovery: A Narrative Review of Wearable Technologies Toward Personalized Rehabilitation After Total Hip and Knee Arthroplasty.

IF 3 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Stefano Pagano, Sebastian Dendorfer, Tobias Renkawitz
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引用次数: 0

Abstract

Background/Objectives: Commercial wearables are increasingly used after total hip and knee arthroplasty (THA/TKA) to record activity and gait outside the clinic and may help tailor recovery pathways. We reviewed the evidence on commercial devices, digital phenotyping, and data-informed rehabilitation after arthroplasty. Methods: We performed a structured narrative search of PubMed and Google Scholar. Of 916 records, 63 duplicates were removed, 853 were screened, 245 full texts were assessed, and 76 publications were included. Findings were synthesized thematically; no formal risk-of-bias assessment or evidence grading was undertaken. Results: Recovery differed by outcome and procedure. PROMs commonly improved within 1-3 months, while gait-quality measures recovered over about 7-13 weeks after THA and 13-24 weeks after TKA. Frequency-domain gait features, sample entropy, and machine-learning models provided information beyond step counts. Tracker-based interventions most consistently increased postoperative steps when introduced early and combined with behavior-change support, while digital rehabilitation was generally non-inferior to conventional rehabilitation. Wrist-worn consumer devices remained inaccurate with gait aids, compliance definitions varied, and higher step counts did not consistently correspond to better PROMs. Conclusions: Commercial wearables already support phenotyping and remote follow-up of individual recovery trajectories, but evidence for fully adaptive rehabilitation remains limited.

从一刀切到数据驱动的康复:对全髋关节和膝关节置换术后个性化康复的可穿戴技术的叙述回顾。
背景/目的:商用可穿戴设备在全髋关节和膝关节置换术(THA/TKA)后越来越多地用于记录临床外的活动和步态,并可能有助于定制恢复路径。我们回顾了商业设备、数字表型和关节置换术后数据信息康复的证据。方法:我们对PubMed和谷歌Scholar进行了结构化的叙述搜索。在916份记录中,删除了63份重复记录,筛选了853份,评估了245份全文,并纳入了76份出版物。研究结果按主题进行综合;未进行正式的偏倚风险评估或证据分级。结果:恢复情况因治疗结果和治疗方法而异。PROMs通常在1-3个月内改善,而步态质量测量在THA后约7-13周和TKA后13-24周恢复。频域步态特征、样本熵和机器学习模型提供了步数之外的信息。基于追踪器的干预措施在早期引入并结合行为改变支持时,最一致地增加了术后步骤,而数字康复通常不逊于传统康复。佩戴在手腕上的消费者设备在辅助步态方面仍然不准确,依从性定义各不相同,更高的步数并不总是与更好的prom相对应。结论:商用可穿戴设备已经支持表型分析和个人康复轨迹的远程随访,但完全适应性康复的证据仍然有限。
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来源期刊
Journal of Personalized Medicine
Journal of Personalized Medicine Medicine-Medicine (miscellaneous)
CiteScore
4.10
自引率
0.00%
发文量
1878
审稿时长
11 weeks
期刊介绍: Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.
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