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帕金森病的临床评估:金标准是否足够闪亮?

Clinical Evaluation in Parkinson's Disease: Is the Golden Standard Shiny Enough?

机构信息

Department of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.

PD Neurotechnology Ltd., 45500 Ioannina, Greece.

出版信息

Sensors (Basel). 2023 Apr 7;23(8):3807. doi: 10.3390/s23083807.

DOI:10.3390/s23083807
PMID:37112154
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10145765/
Abstract

Parkinson's disease (PD) has become the second most common neurodegenerative condition following Alzheimer's disease (AD), exhibiting high prevalence and incident rates. Current care strategies for PD patients include brief appointments, which are sparsely allocated, at outpatient clinics, where, in the best case scenario, expert neurologists evaluate disease progression using established rating scales and patient-reported questionnaires, which have interpretability issues and are subject to recall bias. In this context, artificial-intelligence-driven telehealth solutions, such as wearable devices, have the potential to improve patient care and support physicians to manage PD more effectively by monitoring patients in their familiar environment in an objective manner. In this study, we evaluate the validity of in-office clinical assessment using the MDS-UPDRS rating scale compared to home monitoring. Elaborating the results for 20 patients with Parkinson's disease, we observed moderate to strong correlations for most symptoms (bradykinesia, rest tremor, gait impairment, and freezing of gait), as well as for fluctuating conditions (dyskinesia and OFF). In addition, we identified for the first time the existence of an index capable of remotely measuring patients' quality of life. In summary, an in-office examination is only partially representative of most PD symptoms and cannot accurately capture daytime fluctuations and patients' quality of life.

摘要

帕金森病(PD)已成为继阿尔茨海默病(AD)之后第二常见的神经退行性疾病,其患病率和发病率都很高。目前 PD 患者的治疗策略包括在门诊进行短暂的预约,由专家神经科医生使用既定的评分量表和患者报告的问卷来评估疾病进展,这些方法存在解释问题,并且容易受到回忆偏差的影响。在这种情况下,人工智能驱动的远程医疗解决方案,如可穿戴设备,有可能通过客观地监测患者在熟悉的环境中的情况,改善患者的护理,并帮助医生更有效地管理 PD。在这项研究中,我们评估了使用 MDS-UPDRS 评分量表进行门诊临床评估与家庭监测的有效性。通过对 20 名帕金森病患者的结果进行详细分析,我们观察到大多数症状(运动迟缓、静止性震颤、步态障碍和步态冻结)以及波动情况(运动障碍和关期)都具有中度到高度的相关性。此外,我们首次发现了一个能够远程测量患者生活质量的指数的存在。总之,门诊检查仅能部分代表大多数 PD 症状,无法准确捕捉白天的波动和患者的生活质量。

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