An Exploratory 12-Month Observational Study of Adults with Spinal Muscular Atrophy: Learning From Our Tools

脊髓性肌萎缩 观察研究 物理医学与康复 医学 探索性研究 观察学习 萎缩 物理疗法 心理学 听力学 病理 疾病 数学教育 社会学 人类学 体验式学习
作者
Jeremy Slayter,Lauren Casey,Dorothy Drost,Shane McCullum,Allison Christie,Colleen O’Connell
出处
期刊:Canadian Journal of Neurological Sciences [Cambridge University Press]
卷期号:: 1-10 被引量:2
标识
DOI:10.1017/cjn.2025.10356
摘要

OBJECTIVE: To describe motor, respiratory and quality of life changes in a mixed cohort of adults with spinal muscular atrophy (SMA) from a single tertiary rehabilitation center in Canada and to report preliminary psychometric evidence of a nationally recommended core outcome set over 12 months. METHODS: This real-world, mixed-treatment cohort, exploratory, single-site, prospective observational study followed fifteen adults with SMA over 12 months. Participants completed the Spinal Muscular Atrophy Recommended Toolkit (SMART), which consists of eight outcome measures (OM) assessed at baseline and 12 months. Concurrent and predictive validity were assessed using Spearman's Correlation Coefficient (SCC). Longitudinal change and sensitivity to change were evaluated using the Wilcoxon signed-rank test and standardized response mean. RESULTS: Ten participants were receiving disease-modifying treatments. None of the OMs demonstrated statistically significant changes over 12 months. Respiratory and motor function measures are independently clustered into two clusters. Only the Children's Hospital of Philadelphia - Adult Test of Neuromuscular Disorders (CHOP-ATEND) exhibited high sensitivity to change. Forced vital capacity (FVC) >2 L or peak cough flow (PCF) >200 L/min corresponds with ceiling effects of the Revised Upper Limb Module (RULM) and SMA Functional Rating Scale (SMAFRS). CONCLUSIONS: This exploratory study identified two collinear clusters between SMART OMs, suggesting measurement redundancy. SMART OMs did not demonstrate significant changes over 12 months in this small mixed-treatment cohort. Developing new OMs that are valid, reliable and responsive, and optimizing OM selection will reduce clinic and patient burden, and improve clinical utility in a real-world setting.
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