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远程治疗监测平台的开发:运动障碍的应用

Development of a remote therapeutic monitoring platform: applications for movement disorders.

作者信息

Thankathuraipandian Sreetharan, Greenleaf Walter, Kyani Anahita, Tomlinson Tucker, Balasingh Binesh, Ross Erika, Pathak Yagna

机构信息

Abbott Neuromodulation, Plano, TX, USA.

Stanford University, Stanford, CA, USA.

出版信息

Sci Rep. 2024 Dec 1;14(1):29837. doi: 10.1038/s41598-024-80567-z.

Abstract

Digital health tools are emerging as a promising solution for optimizing Deep Brain Stimulation (DBS) therapy for neurodegenerative diseases such as Parkinson's Disease (PD), addressing challenges of therapy maintenance, care access, and discrete assessments. Wearable technology and mobile health platforms can offer remote monitoring capabilities, allowing for real-time virtual programming with optimization of patients' therapy, use of digital biomarkers that can help identify the onset, symptoms, medication-related fluctuations and side-effects, and response to DBS treatment. Through an investigational remote monitoring application (RM app) integrating patient-reported outcomes (PROs) and objective data using wearables, we aimed to develop an accessible, data-driven digital tool to monitor patient symptoms and deliver low-burden and easy-to-access DBS therapy. The platform is designed to be compatible with several consumer-grade wearables and ensures patient data privacy and security. We conducted a feasibility study to test the tool's effectiveness in a large-scale DBS study, where subjects received a home-monitoring kit consisting of an iPhone and Apple Watch, pre-configured with the RM app to enable remote data collection. Compliance in this paper is defined as adherence to the RM app and Apple watch usage. Analysis of 67 subjects from the study demonstrated an average compliance rate of 63.3% for daily check-ins, 85.5% for monthly surveys and 61.9% for passive data with an average of 55 days of post-implant data. The study highlights the feasibility of frequent monitoring in the early post-implant period that could lead to optimal outcomes for patients. The platform developed can further optimize study execution and be extended to other chronic conditions treated with neuromodulation implants such as depression and pain.

摘要

数字健康工具正在成为一种有前景的解决方案,用于优化针对帕金森病(PD)等神经退行性疾病的深部脑刺激(DBS)疗法,应对治疗维持、护理获取和离散评估等挑战。可穿戴技术和移动健康平台可提供远程监测功能,实现患者治疗的实时虚拟编程、利用数字生物标志物来帮助识别疾病发作、症状、药物相关波动和副作用,以及对DBS治疗的反应。通过一个整合了患者报告结局(PROs)和使用可穿戴设备的客观数据的研究性远程监测应用程序(RM应用程序),我们旨在开发一种易于使用、数据驱动的数字工具,以监测患者症状并提供低负担且易于获取的DBS疗法。该平台设计为与多种消费级可穿戴设备兼容,并确保患者数据的隐私和安全。我们进行了一项可行性研究,以测试该工具在一项大规模DBS研究中的有效性,在该研究中,受试者收到一个家庭监测套件,其中包括一部预配置了RM应用程序以实现远程数据收集的iPhone和Apple Watch。本文中的依从性定义为对RM应用程序和Apple Watch使用的坚持程度。对该研究中67名受试者的分析表明,每日签到的平均依从率为63.3%,每月调查的依从率为85.5%,被动数据的依从率为61.9%,植入后平均有55天的数据。该研究突出了在植入后早期进行频繁监测的可行性,这可能为患者带来最佳结果。所开发的平台可进一步优化研究执行,并扩展到其他使用神经调节植入物治疗的慢性疾病,如抑郁症和疼痛。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a56/11609271/928b0487400b/41598_2024_80567_Fig1_HTML.jpg

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