多发性硬化症数字认知生物标志物的纵向轨迹
Yi Chao Foong1,2,3,4, Daniel Merlo1,3, Melissa Gresle1,2,5
1Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Annals of clinical and translational neurology
|February 26, 2025
概括
复发性复发性多发性硬化症 (RRMS) 的认知障碍可以使用像处理速度测试 (PST) 这样的数字生物标志物进行监测. 较低的基线PST得分和没有实践效果预测RRMS患者未来的认知能力下降.
科学领域:
- 神经学 神经学
- 神经科学是一个神经科学.
- 数字健康数字健康
背景情况:
- 认知障碍是复发性复发性多发性硬化症 (RRMS) 的一个重大挑战.
- 数字认知生物标志物提供了高效和可访问的评估方法.
- 基于iPad的处理速度测试 (PST) 是一个有前途的数字工具.
研究的目的:
- 为了研究RRMS患者PST得分的纵向变化.
- 为了确定PST绩效的预测因素.
- 通过潜在类分析探索认知功能的不同轨迹.
主要方法:
- 在澳大利亚6个中心 (2017-2021) 招募1093名RRMS患者.
- 使用混合效应和隐性类混合模型进行纵向数据分析.
- 评估预测认知衰退的因素,包括基线PST得分和实践效应.
主要成果:
- 在人口层面上,PST轨迹一般稳定,在第四次访问之前观察到较小的实践效应.
- 与较低PST表现相关的因素包括年龄较大,较高的基线残疾,T2病变体积,男性性别和抑郁症.
- 确定了四种不同的PST潜阶级轨迹,最差的阶级的特点是基线得分低,没有实践效应,预测持续认知衰退的风险更高.
结论:
- 在PST上基础认知表现的恶化是RRMS未来认知衰退的重要预测因素.
- 缺乏对PST的实践影响可能表明认知能力下降的风险更高.
- 像PST这样的数字认知生物标志物显示出在RRMS中监测认知健康的潜力.
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