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Digital biomarkers can highlight subtle clinical differences in radiologically isolated syndrome compared to healthy controls
Journal of Neurology ( IF 4.8 ) Pub Date : 2020-10-19 , DOI: 10.1007/s00415-020-10276-w
Mikael Cohen 1 , Lydiane Mondot 2 , Salim Fakir 1 , Cassandre Landes 1 , Christine Lebrun 1
Affiliation  

Objective

To explore the use of digital biomarkers to distinguish healthy controls (HC) from subjects with a radiologically isolated syndrome (RIS).

Methods

We developed a smartphone application called MS Screen Test (MSST) to explore several dimensions of the neurological exam such as finger tapping speed, agility, hand synchronization, low contrast vision and cognition during a short evaluation. This app was tested on a cohort of healthy volunteers including a subset of subjects who underwent two evaluations on the same day to assess reproducibility. In a second step, the app was tested on a cohort of RIS subjects. Performances of RIS subjects were compared with age and genre-matched HC.

Results

HC underwent two consecutive evaluations on MSST. The analysis showed good reproducibility for all measures. Then 21 RIS subjects were compared to 32 matched HC. Compared to HC, we found that RIS subjects had a lower finger tapping speed on the dominant hand (5.6 versus 6.5 taps per second; p = 0.005), a longer inter hand interval during the hand synchronization task (14.4 versus 11.3 ms; p = 0.03) and significantly poorer scores on the low contrast vision and cognition tests.

Conclusion

MSST only requires a smartphone to obtain digital biomarkers relative to several dimensions of the neurological examination. Our results highlighted subtle differences between HC and RIS subjects. We plan to evaluate this tool in MS patients, which will allow us to get a much larger sample of subjects, to determine whether digital biomarkers can predict disease course.



中文翻译:

与健康对照相比,数字生物标记物可以突出显示放射隔离综合征的细微临床差异

目的

探索使用数字生物标记物以区分健康对照(HC)与放射孤立综合征(RIS)的受试者。

方法

我们开发了一个名为MS Screen Test(MSST)的智能手机应用程序,以探索神经系统检查的多个方面,例如手指拍击速度,敏捷性,手同步,低对比度视觉和简短评估期间的认知。该应用程序在一组健康志愿者中进行了测试,包括一组受试者的一部分,这些受试者在同一天进行了两次评估以评估可重复性。第二步,对该应用程序进行了一系列RIS主题测试。将RIS受试者的表现与年龄和体裁匹配的HC进行比较。

结果

HC对MSST进行了两次连续评估。分析显示所有措施均具有良好的可重复性。然后将21位RIS受试者与32位匹配的HC进行比较。与HC相比,我们发现RIS受试者在优势手上的手指敲击速度较低(每秒5.6对6.5次敲击;p  = 0.005),在手同步任务期间手间间隔更长(14.4对11.3 ms;p  = 0.03),并且在低对比度视觉和认知测试中得分明显较差。

结论

MSST仅需要智能手机即可获得与神经学检查的多个方面相关的数字生物标记。我们的结果强调了HC和RIS受试者之间的细微差异。我们计划在MS患者中评估该工具,这将使我们能够获得更大的受试者样本,以确定数字生物标记物是否可以预测疾病进程。

更新日期:2020-10-19
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