利用数字健康技术实现帕金森病分期的现代化。
Modernizing the Staging of Parkinson Disease Using Digital Health Technology.
作者信息
Templeton John Michael, Poellabauer Christian, Schneider Sandra, Rahimi Morteza, Braimoh Taofeek, Tadamarry Fhaheem, Margolesky Jason, Burke Shanna, Al Masry Zeina
机构信息
Bellini College of Artificial Intelligence, Cybersecurity, and Computing, University of South Florida, Tampa, FL, United States.
Department of Medical Engineering, University of South Florida, Tampa, United States.
出版信息
J Med Internet Res. 2025 Apr 4;27:e63105. doi: 10.2196/63105.
Due to the complicated nature of Parkinson disease (PD), a number of subjective considerations (eg, staging schemes, clinical assessment tools, or questionnaires) on how best to assess clinical deficits and monitor clinical progression have been published; however, none of these considerations include a comprehensive, objective assessment of all functional areas of neurocognition affected by PD (eg, motor, memory, speech, language, executive function, autonomic function, sensory function, behavior, and sleep). This paper highlights the increasing use of digital health technology (eg, smartphones, tablets, and wearable devices) for the classification, staging, and monitoring of PD. Furthermore, this Viewpoint proposes a foundation for a new staging schema that builds from multiple clinically implemented scales (eg, Hoehn and Yahr Scale and Berg Balance Scale) for ease and homogeneity, while also implementing digital health technology to expand current staging protocols. This proposed staging system foundation aims to provide an objective, symptom-specific assessment of all functional areas of neurocognition via inherent device capabilities (eg, device sensors and human-device interactions). As individuals with PD may manifest different symptoms at different times across the spectrum of neurocognition, the modernization of assessments that include objective, symptom-specific monitoring is imperative for providing personalized medicine and maintaining individual quality of life.
由于帕金森病(PD)的复杂性,已经发表了许多关于如何最好地评估临床缺陷和监测临床进展的主观考量(例如,分期方案、临床评估工具或问卷);然而,这些考量均未对受PD影响的神经认知所有功能领域(如运动、记忆、言语、语言、执行功能、自主功能、感觉功能、行为和睡眠)进行全面、客观的评估。本文强调了数字健康技术(如智能手机、平板电脑和可穿戴设备)在PD分类、分期和监测方面的使用日益增加。此外,本观点提出了一种新分期模式的基础,该模式基于多个临床应用量表(如Hoehn和Yahr量表以及Berg平衡量表)构建,以实现简便性和同质性,同时还采用数字健康技术来扩展当前的分期方案。这一拟议的分期系统基础旨在通过固有设备功能(如设备传感器和人机交互)对神经认知的所有功能领域进行客观、针对症状的评估。由于PD患者在神经认知范围内的不同时间可能表现出不同症状,因此包括客观、针对症状监测的评估现代化对于提供个性化医疗和维持个人生活质量至关重要。