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通过临床确定的发病后 ΔFS 对肌萎缩侧索硬化症人群进行分类,用于研究设计和医学实践。

Categorization of the amyotrophic lateral sclerosis population via the clinical determinant of post-onset ΔFS for study design and medical practice.

机构信息

Department of Neurology, University of Ulm, Ulm, Germany.

German Center for Neurodegenerative Diseases, Ulm, Germany.

出版信息

Muscle Nerve. 2024 Jul;70(1):36-41. doi: 10.1002/mus.28101. Epub 2024 May 7.

Abstract

The amyotrophic lateral sclerosis (ALS) functional rating scale-revised (ALSFRS-R) has become the most widely utilized measure of disease severity in patients with ALS, with change in ALSFRS-R from baseline being a trusted primary outcome measure in ALS clinical trials. This is despite the scale having several established limitations, and although alternative scales have been proposed, it is unlikely that these will displace ALSFRS-R in the foreseeable future. Here, we discuss the merits of delta FS (ΔFS), the slope or rate of ALSFRS-R decline over time, as a relevant tool for innovative ALS study design, with an as yet untapped potential for optimization of drug effectiveness and patient management. In our view, categorization of the ALS population via the clinical determinant of post-onset ΔFS is an important study design consideration. It serves not only as a critical stratification factor and basis for patient enrichment but also as a tool to explore differences in treatment response across the overall population; thereby, facilitating identification of responder subgroups. Moreover, because post-onset ΔFS is derived from information routinely collected as part of standard patient care and monitoring, it provides a suitable patient selection tool for treating physicians. Overall, post-onset ΔFS is a very attractive enrichment tool that is, can and should be regularly incorporated into ALS trial design.

摘要

肌萎缩侧索硬化症(ALS)功能评定量表修订版(ALSFRS-R)已成为评估 ALS 患者疾病严重程度最广泛使用的方法,ALSFRS-R 从基线的变化是 ALS 临床试验中可靠的主要结局指标。尽管该量表有几个已确定的局限性,尽管已经提出了替代量表,但在可预见的未来,这些量表不太可能取代 ALSFRS-R。在这里,我们讨论了 delta FS(ΔFS)的优点,即 ALSFS-R 随时间下降的斜率或速率,作为创新 ALS 研究设计的相关工具,它在优化药物疗效和患者管理方面具有尚未开发的潜力。在我们看来,通过发病后 ΔFS 的临床决定因素对 ALS 人群进行分类是一个重要的研究设计考虑因素。它不仅是一个关键的分层因素和患者富集的基础,也是探索整个人群治疗反应差异的工具;从而促进应答亚组的识别。此外,由于发病后 ΔFS 是从常规收集的作为标准患者护理和监测一部分的信息中得出的,因此它为治疗医生提供了合适的患者选择工具。总体而言,发病后 ΔFS 是一种非常有吸引力的富集工具,它可以并且应该定期纳入 ALS 试验设计。

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