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本文引用的文献

1
Measurement Instruments to Assess Functional Mobility in Parkinson's Disease: A Systematic Review.评估帕金森病功能活动能力的测量工具:一项系统综述
Mov Disord Clin Pract. 2019 Dec 11;7(2):129-139. doi: 10.1002/mdc3.12874. eCollection 2020 Feb.
2
Long-term unsupervised mobility assessment in movement disorders.运动障碍的长期非监督运动评估。
Lancet Neurol. 2020 May;19(5):462-470. doi: 10.1016/S1474-4422(19)30397-7. Epub 2020 Feb 11.
3
Prediction of Responsiveness of Gait Variables to Rehabilitation Training in Parkinson's Disease.帕金森病步态变量对康复训练反应性的预测
Front Neurol. 2019 Aug 2;10:826. doi: 10.3389/fneur.2019.00826. eCollection 2019.
4
What is Functional Mobility Applied to Parkinson's Disease?帕金森病的功能性移动性是什么?
J Parkinsons Dis. 2018;8(1):121-130. doi: 10.3233/JPD-171233.
5
Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson's Disease and Older Adults Using an Inertial Measurement Unit at the Lower Back.使用下背部惯性测量单元对帕金森病患者和老年人在直线行走和转弯过程中的步幅检测算法进行验证。
Front Neurol. 2017 Sep 4;8:457. doi: 10.3389/fneur.2017.00457. eCollection 2017.
6
Integration of technology-based outcome measures in clinical trials of Parkinson and other neurodegenerative diseases.将基于技术的结局指标整合到帕金森病和其他神经退行性疾病的临床试验中。
Parkinsonism Relat Disord. 2018 Jan;46 Suppl 1(Suppl 1):S53-S56. doi: 10.1016/j.parkreldis.2017.07.022. Epub 2017 Jul 26.
7
Analysis of four scales for global severity evaluation in Parkinson's disease.帕金森病整体严重程度评估的四种量表分析
NPJ Parkinsons Dis. 2016 May 5;2:16007. doi: 10.1038/npjparkd.2016.7. eCollection 2016.
8
Clinical Assessments in Parkinson's Disease: Scales and Monitoring.帕金森病的临床评估:量表与监测
Int Rev Neurobiol. 2017;132:129-182. doi: 10.1016/bs.irn.2017.01.001. Epub 2017 Feb 16.
9
Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.使用腕部佩戴式加速度计对身体活动进行大规模人群评估:英国生物银行研究
PLoS One. 2017 Feb 1;12(2):e0169649. doi: 10.1371/journal.pone.0169649. eCollection 2017.
10
Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis.检测自由活动步数和步行时段:验证一种用于宏观步态分析的算法
Physiol Meas. 2017 Jan;38(1):N1-N15. doi: 10.1088/1361-6579/38/1/N1. Epub 2016 Dec 12.

评估多学科干预对帕金森病功能活动能力疗效的运动学和临床结果

Kinematic and Clinical Outcomes to Evaluate the Efficacy of a Multidisciplinary Intervention on Functional Mobility in Parkinson's Disease.

作者信息

Bouça-Machado Raquel, Branco Diogo, Fonseca Gustavo, Fernandes Raquel, Abreu Daisy, Guerreiro Tiago, Ferreira Joaquim J

机构信息

Instituto de Medicina Molecular João Lobo Antunes, Lisbon, Portugal.

CNS - Campus Neurológico, Torres Vedras, Portugal.

出版信息

Front Neurol. 2021 Mar 23;12:637620. doi: 10.3389/fneur.2021.637620. eCollection 2021.

DOI:10.3389/fneur.2021.637620
PMID:33833729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8021905/
Abstract

Functional mobility (FM) is a concept that incorporates the capacity of a person to move independently and safely to accomplish tasks. It has been proposed as a Parkinson's disease (PD) functional and global health outcome. In this study, we aimed to identify which kinematic and clinical outcomes changes better predict FM changes when PD patients are submitted to a specialized multidisciplinary program. PD patients engaged in a pre-defined specialized multidisciplinary program were assessed at admission and discharge. Change from baseline was calculated for all kinematic and clinical outcomes, and Timed Up and Go (TUG) was defined as the primary outcome for FM. A stepwise multivariate linear regression was performed to identify which outcome measures better predict TUG changes. Twenty-four patients were included in the study. The changes in TUG Cognitive test, supervised step length, and free-living (FL) step time asymmetry were identified as the best predictors of TUG changes. The supervised step length and FL step time asymmetry were able to detect a small to moderate effect of the intervention ( values ranging from -0.26 to 0.42). Our results support the use of kinematic outcome measures to evaluate the efficacy of multidisciplinary interventions on PD FM. The TUG Cognitive, step length, and FL step time asymmetry were identified as having the ability to predict TUG changes. More studies are needed to identify the minimal clinically important difference for step length and FL step time asymmetry in response to a multidisciplinary intervention for PD FM.

摘要

功能性移动能力(FM)是一个包含个人独立、安全移动以完成任务能力的概念。它已被提出作为帕金森病(PD)的功能性和整体健康结果。在本研究中,我们旨在确定当PD患者接受专门的多学科项目时,哪些运动学和临床结果变化能更好地预测FM变化。对参与预定义专门多学科项目的PD患者在入院和出院时进行评估。计算所有运动学和临床结果相对于基线的变化,并将计时起立行走测试(TUG)定义为FM的主要结果。进行逐步多元线性回归以确定哪些结果指标能更好地预测TUG变化。24名患者纳入研究。TUG认知测试、受监督步长和自由生活(FL)步时不对称性的变化被确定为TUG变化的最佳预测指标。受监督步长和FL步时不对称性能够检测到干预的小到中等效果(值范围为-0.26至0.42)。我们的结果支持使用运动学结果指标来评估多学科干预对PD FM的疗效。TUG认知、步长和FL步时不对称性被确定具有预测TUG变化的能力。需要更多研究来确定针对PD FM的多学科干预中步长和FL步时不对称性的最小临床重要差异。