使用队列和个体化模型研究重症肌无力患者自由活动、疲劳和症状严重程度之间的纵向关系。

IF 2.8 3区 医学 Q2 CLINICAL NEUROLOGY Muscle & Nerve Pub Date : 2025-01-01 Epub Date: 2024-10-30 DOI:10.1002/mus.28282
Hannah L Dimmick, Gordon Jewett, Lawrence W Korngut, Reed Ferber
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引用次数: 0

摘要

导言/目的:症状波动和疲劳是重症肌无力(MG)的常见问题,但目前尚不清楚这些症状是否与体力活动或睡眠模式有关。本研究旨在确定患者报告的症状与体力活动和睡眠之间在 12 周内的日常关系:方法:16 名患有全身性 MG 的参与者在研究期间持续佩戴腕式加速度计,并在每天晚上报告其症状和疲劳情况。研究采用累积联系混合模型来分析临床和人口统计学特征、体力活动和睡眠是否与研究期间的症状严重程度和疲劳有关。研究人员构建了三种模型:队列模型、将数据按比例分配给每位参与者的模型以及个体模型:队列模型显示,疾病严重程度越高、性别为女性、合并症越多、体力活动越少、非活动时间越长、睡眠时间越少,与症状严重程度和疲劳程度的增加有显著相关性(p 讨论):虽然在这一人群中,体力活动和睡眠与自我报告的症状和疲劳有关,但这并不一定适用于个人。这表明,在确定体力活动和睡眠如何影响 MG 的预后时,进行个体化分析非常重要,这对临床和自我管理具有重要意义。
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Longitudinal relationships between free-living activities, fatigue, and symptom severity in myasthenia gravis using cohort and individualized models.

Introduction/aims: Fluctuating symptoms and fatigue are common issues in myasthenia gravis (MG), but it is unclear if these symptoms are related to physical activity or sleep patterns. This study sought to determine the day-to-day relationship between patient-reported symptoms and physical activity and sleep over 12 weeks.

Methods: Sixteen participants with generalized MG wore a wrist-mounted accelerometer continuously for the study duration and reported their symptoms and fatigue each evening. Cumulative link mixed models were used to analyze whether clinical and demographic characteristics, physical activity, and sleep were related to symptom severity and fatigue over the study period. Three types of models were constructed: a cohort model, a model in which data was scaled to each participant, and individual models.

Results: The cohort model indicated that higher disease severity, female sex, more comorbidities, less physical activity, more inactive time, and lower quantity of sleep were significantly associated with increased symptom severity and fatigue (p < .05). However, in the within-participant scaled model, there were almost no significant associations with physical activity or sleep. In the individual models, some participants showed similar results to the cohort model, but others showed no associations or the opposite response in some variables.

Discussion: While physical activity and sleep were associated with self-reported symptoms and fatigue within this population, this was not necessarily applicable to individuals. This demonstrates the importance of an individualized analysis for determining how physical activity and sleep may impact outcomes in MG, with implications for clinical and self-management.

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来源期刊
Muscle & Nerve
Muscle & Nerve 医学-临床神经学
CiteScore
6.40
自引率
5.90%
发文量
287
审稿时长
3-6 weeks
期刊介绍: Muscle & Nerve is an international and interdisciplinary publication of original contributions, in both health and disease, concerning studies of the muscle, the neuromuscular junction, the peripheral motor, sensory and autonomic neurons, and the central nervous system where the behavior of the peripheral nervous system is clarified. Appearing monthly, Muscle & Nerve publishes clinical studies and clinically relevant research reports in the fields of anatomy, biochemistry, cell biology, electrophysiology and electrodiagnosis, epidemiology, genetics, immunology, pathology, pharmacology, physiology, toxicology, and virology. The Journal welcomes articles and reports on basic clinical electrophysiology and electrodiagnosis. We expedite some papers dealing with timely topics to keep up with the fast-moving pace of science, based on the referees'' recommendation.
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