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数字步态测量可捕捉2型早期脊髓小脑共济失调的1年进展情况。

Digital Gait Measures Capture 1-Year Progression in Early-Stage Spinocerebellar Ataxia Type 2.

作者信息

Seemann Jens, Daghsen Lina, Cazier Matthieu, Lamy Jean-Charles, Welter Marie-Laure, Giese Martin A, Synofzik Matthis, Durr Alexandra, Ilg Winfried, Coarelli Giulia

机构信息

Section Computational Sensomotorics, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.

Centre for Integrative Neuroscience (CIN), Tübingen, Germany.

出版信息

Mov Disord. 2024 May;39(5):788-797. doi: 10.1002/mds.29757. Epub 2024 Feb 28.

Abstract

BACKGROUND

With disease-modifying drugs in reach for cerebellar ataxias, fine-grained digital health measures are highly warranted to complement clinical and patient-reported outcome measures in upcoming treatment trials and treatment monitoring. These measures need to demonstrate sensitivity to capture change, in particular in the early stages of the disease.

OBJECTIVE

Our aim is to unravel gait measures sensitive to longitudinal change in the-particularly trial-relevant-early stage of spinocerebellar ataxia type 2 (SCA2).

METHODS

We performed a multicenter longitudinal study with combined cross-sectional and 1-year interval longitudinal analysis in early-stage SCA2 participants (n = 23, including nine pre-ataxic expansion carriers; median, ATXN2 CAG repeat expansion 38 ± 2; median, Scale for the Assessment and Rating of Ataxia [SARA] score 4.8 ± 4.3). Gait was assessed using three wearable motion sensors during a 2-minute walk, with analyses focused on gait measures of spatio-temporal variability that have shown sensitivity to ataxia severity (eg, lateral step deviation).

RESULTS

We found significant changes for gait measures between baseline and 1-year follow-up with large effect sizes (lateral step deviation P = 0.0001, effect size r = 0.78), whereas the SARA score showed no change (P = 0.67). Sample size estimation indicates a required cohort size of n = 43 to detect a 50% reduction in natural progression. Test-retest reliability and minimal detectable change analysis confirm the accuracy of detecting 50% of the identified 1-year change.

CONCLUSIONS

Gait measures assessed by wearable sensors can capture natural progression in early-stage SCA2 within just 1 year-in contrast to a clinical ataxia outcome. Lateral step deviation represents a promising outcome measure for upcoming multicenter interventional trials, particularly in the early stages of cerebellar ataxia. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

摘要

背景

随着针对小脑性共济失调的疾病修饰药物即将问世,在即将开展的治疗试验和治疗监测中,非常有必要采用精细的数字健康测量方法来补充临床和患者报告的结局测量。这些测量方法需要显示出对变化的敏感性,尤其是在疾病的早期阶段。

目的

我们的目的是找出对2型脊髓小脑共济失调(SCA2)特别与试验相关的早期阶段纵向变化敏感的步态测量方法。

方法

我们对早期SCA2参与者(n = 23,包括9名共济失调前期扩展携带者;中位数,ATXN2 CAG重复扩展38 ± 2;中位数,共济失调评估与评分量表[SARA]得分4.8 ± 4.3)进行了一项多中心纵向研究,采用横断面和1年间隔纵向分析相结合的方法。在2分钟步行过程中使用三个可穿戴运动传感器评估步态,分析重点是对共济失调严重程度显示出敏感性的时空变异性步态测量方法(例如,侧向步幅偏差)。

结果

我们发现基线和1年随访之间步态测量有显著变化,效应量较大(侧向步幅偏差P = 0.0001,效应量r = 0.78),而SARA得分没有变化(P = 0.67)。样本量估计表明,需要n = 43的队列规模才能检测到自然进展降低50%。重测信度和最小可检测变化分析证实了检测到已确定的1年变化的50%的准确性。

结论

与临床共济失调结局相比,可穿戴传感器评估的步态测量方法能够在短短1年内捕捉到早期SCA2的自然进展。侧向步幅偏差是即将开展的多中心干预试验,特别是在小脑性共济失调早期阶段的一个有前景的结局测量指标。© 2024作者。《运动障碍》由Wiley Periodicals LLC代表国际帕金森和运动障碍协会出版。

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