在复发性复发性多发性硬化症中,数字监测疾病活性
P C G Molenaar1,2, D J de Jong3,4, S N Hof3
1MS Center Amsterdam, Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands. p.c.g.molenaar@amsterdamumc.nl.
Journal of neurology
|March 6, 2026
概括
数字生物标志物,如基于智能手机的符号数字模式测试 (sSDMT),可以检测复发性复发性多发性硬化症 (RRMS) 疾病活动. 这些工具对早期炎症检测有希望,可能在MRI确认之前.
科学领域:
- 神经学 神经学
- 数字健康数字健康
- 生物标志物 生物标志物
背景情况:
- 数字监测有可能跟踪复发性复发性多发性硬化症 (PwRRMS) 患者的疾病活动.
- 这项研究调查了认知和行走以及放射性疾病活动的数字生物标志物之间的联系.
研究的目的:
- 在PwRRMS中评估数字生物标志物 (认知和行走) 与放射性疾病活动之间的关联.
- 为了确定数字生物标志物是否可以比传统的MRI扫描更早地检测疾病活动.
主要方法:
- 一个前性的,为期一年的队列研究,涉及57名PwRRMS.
- 每周使用基于智能手机的符号数字模式测试 (sSDMT) 和2分钟步行测试 (s2MWT) 进行评估.
- 每季度收集的MRI扫描和临床评估 (cSDMT,EDSS,T25FW,NHPT);用于分析的物流GEE和混合模型.
主要成果:
- sSDMT显示了与对比度增强病变 (CEL) 的负相关性,特别是在个体内.
- 数字测量,包括MRI前6周的sSDMT值,与CEL相关联.
- 临床测量也表明了与CEL的负相关性,支持了这些发现.
结论:
- 数字生物标志物,特别是sSDMT,可以测量PwRRMS与可检测的MRI炎症相关的变化.
- sSDMT在MRI之前检测变化的能力表明了早期炎症识别的潜力.
- 这些发现凸显了数字工具监控RRMS活动的实用性.
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