Negi Aarushi S, Karjagi Shreesh, Parisi Laura, Daley Kerry W, Abay Annie K, Gala Aryaman S, Wilkins Kevin B, Hoffman Shannon L, Ferris Margaret S, Zahed Hengameh, Chattree Gaurav M, Palushaj Bianca, Bronte-Stewart Helen M
Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
NPJ Parkinsons Dis. 2025 Aug 12;11(1):239. doi: 10.1038/s41531-025-01101-0.
People with Parkinson's disease (PWP) face significant gaps in care. Limited neurologist access, infrequent clinic visits, and inadequate symptom measurement culminate in suboptimal therapy and high morbidity. Quantitative Digitography (QDG) provides validated, digital metrics of the three cardinal motor signs in Parkinson's disease (PD) in real-time from 30 seconds of a mobility task on a digitography device and can be used remotely or in clinical settings. This study demonstrates the feasibility and clinical relevance of 30-day remote QDG monitoring. Participants showed excellent compliance and found the system easy to use. The QDG Mobility Score demonstrated meaningful correlation with Activities of Daily Living (ADLs), captured motor complexities across a broad PD duration, and tracked motor changes from small therapy adjustments. QDG offers providers and PWP an accessible, objective, and real-time tool to remotely monitor motor symptoms, optimize treatment, and address care gaps created by infrequent clinic visits and subjective symptom assessment.
帕金森病患者（PWP）在护理方面存在显著差距。神经科医生就诊机会有限、门诊就诊不频繁以及症状测量不充分，最终导致治疗效果欠佳和高发病率。定量数字成像（QDG）可通过数字成像设备上30秒的移动任务实时提供帕金森病（PD）三种主要运动体征的经过验证的数字指标，可在远程或临床环境中使用。本研究证明了30天远程QDG监测的可行性和临床相关性。参与者表现出极佳的依从性，并认为该系统易于使用。QDG移动评分与日常生活活动（ADL）显示出有意义的相关性，捕捉了广泛PD病程中的运动复杂性，并跟踪了小剂量治疗调整后的运动变化。QDG为医疗服务提供者和PWP提供了一个可访问、客观且实时的工具，以远程监测运动症状、优化治疗，并解决因门诊就诊不频繁和主观症状评估导致的护理差距。
