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帕金森病的客观波动评分

An objective fluctuation score for Parkinson's disease.

作者信息

Horne Malcolm K, McGregor Sarah, Bergquist Filip

机构信息

Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia; Centre for Clinical Neurosciences and Neurological Research, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia.

Centre for Clinical Neurosciences and Neurological Research, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia.

出版信息

PLoS One. 2015 Apr 30;10(4):e0124522. doi: 10.1371/journal.pone.0124522. eCollection 2015.

Abstract

INTRODUCTION

Establishing the presence and severity of fluctuations is important in managing Parkinson's Disease yet there is no reliable, objective means of doing this. In this study we have evaluated a Fluctuation Score derived from variations in dyskinesia and bradykinesia scores produced by an accelerometry based system.

METHODS

The Fluctuation Score was produced by summing the interquartile range of bradykinesia scores and dyskinesia scores produced every 2 minutes between 0900-1800 for at least 6 days by the accelerometry based system and expressing it as an algorithm.

RESULTS

This Score could distinguish between fluctuating and non-fluctuating patients with high sensitivity and selectivity and was significant lower following activation of deep brain stimulators. The scores following deep brain stimulation lay in a band just above the score separating fluctuators from non-fluctuators, suggesting a range representing adequate motor control. When compared with control subjects the score of newly diagnosed patients show a loss of fluctuation with onset of PD. The score was calculated in subjects whose duration of disease was known and this showed that newly diagnosed patients soon develop higher scores which either fall under or within the range representing adequate motor control or instead go on to develop more severe fluctuations.

CONCLUSION

The Fluctuation Score described here promises to be a useful tool for identifying patients whose fluctuations are progressing and may require therapeutic changes. It also shows promise as a useful research tool. Further studies are required to more accurately identify therapeutic targets and ranges.

摘要

引言

确定帕金森病波动的存在及其严重程度对于疾病管理至关重要,但目前尚无可靠、客观的方法来做到这一点。在本研究中,我们评估了一种基于加速度计系统产生的异动症和运动迟缓评分变化得出的波动评分。

方法

波动评分通过将基于加速度计系统在09:00至18:00之间每2分钟产生的运动迟缓评分和异动症评分的四分位间距相加得出,并将其表示为一种算法。

结果

该评分能够以高敏感性和选择性区分波动型和非波动型患者,并且在深部脑刺激器激活后显著降低。深部脑刺激后的评分处于区分波动者与非波动者的评分之上的一个区间,这表明该区间代表了足够的运动控制。与对照受试者相比,新诊断患者的评分显示随着帕金森病的发病波动减少。在疾病持续时间已知且评分已计算的受试者中,这表明新诊断患者很快就会出现更高的评分,这些评分要么低于或处于代表足够运动控制的区间内,要么继续发展为更严重的波动。

结论

本文所述的波动评分有望成为识别波动病情进展且可能需要调整治疗的患者的有用工具。它也有望成为一种有用的研究工具。需要进一步研究以更准确地确定治疗靶点和范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/592b/4416005/90290c9df62b/pone.0124522.g001.jpg

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