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采用运动和非运动评估对帕金森病进行综合分级:满足一个关键的未满足需求。

Comprehensive grading of Parkinson's disease using motor and non-motor assessments: addressing a key unmet need.

机构信息

a National Center of Epidemiology and CIBERNED , Carlos III Institute of Health , Madrid , Spain.

b National Parkinson Foundation International Centre of Excellence , King's College London and King's College Hospital , London , UK.

出版信息

Expert Rev Neurother. 2018 Jan;18(1):41-50. doi: 10.1080/14737175.2018.1400383. Epub 2017 Nov 7.

DOI:10.1080/14737175.2018.1400383
PMID:29090594
Abstract

Parkinson's disease (PD) is expressed through motor and non-motor symptoms (NMS) that differ considerably in presence and severity among patients and over time. Furthermore, the progression pattern of the NMS does not necessarily parallel the course of the motor impairment. Gradation of PD according to the motor impairment and burden of NMS is an unmet need for an appropriate management of patients. Areas covered: A review of the studies on clinical gradation methods applied to PD is carried out in this article. Studies have provided cut-off values for a pragmatic classification of scores from rating scales and questionnaires in mild, moderate, and severe PD, considering motor state, complications, disability, and NMS. Grading systems with Hoehn and Yahr staging, Clinical Impression of Severity Index for PD, NMS Scale, NMS Questionnaire, and MDS-UPDRS, are available. These systems are reviewed in detail and examples in format of simple cards are presented. Expert commentary: Patients can be adequately assessed and properly managed according to their specific needs. A comprehensive method for gradation of PD manifestations severity is, therefore, desirable. In the absence of objective in vivo biomarkers for quantitative standardized information, scale-based clinical gradation systems provide a suitable alternative.

摘要

帕金森病(PD)表现为运动和非运动症状(NMS),这些症状在患者之间以及随时间推移存在显著差异,且严重程度也不同。此外,NMS 的进展模式不一定与运动障碍的病程平行。根据运动障碍和 NMS 的负担对 PD 进行分级,是患者得到适当管理的一项未满足需求。

涵盖领域

本文对应用于 PD 的临床分级方法的研究进行了综述。这些研究考虑到运动状态、并发症、残疾和 NMS,提供了从评定量表和问卷中对轻度、中度和重度 PD 进行实用分类的评分截断值。现有的分级系统包括 Hoehn 和 Yahr 分期、帕金森病临床严重程度印象量表、NMS 量表、NMS 问卷和 MDS-UPDRS,对这些系统进行了详细的审查,并以简单卡片的形式呈现了示例。

专家评论

根据患者的具体需求,可以对其进行充分评估并进行妥善管理。因此,需要一种 PD 表现严重程度的综合分级方法。在缺乏用于定量标准化信息的客观体内生物标志物的情况下,基于量表的临床分级系统是一种合适的替代方法。

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