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Classification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome by Types of Fatigue

机译:按疲劳类型分类肌性脑脊髓炎/慢性疲劳综合症

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摘要

Persons with Myalgic Encephalomyelitis/chronic fatigue syndrome (ME/CFS) often complain of fatigue states (e.g. post-exertional malaise, brain fog) that are qualitatively different than normal, daily fatigue. Given the heterogeneous nature of ME/CFS, it is likely that individuals with this illness experience these fatigue types differently in terms of severity and frequency. It is also possible that meaningful subgroups of patients exist regarding different patterns of the fatigue experience. The purpose of this study was to investigate whether individuals with ME/CFS can be classified in a meaningful way according to the different types of fatigue they experience. One hundred individuals with ME/CFS participated in the study. Individuals that met inclusion criteria were administered the Multiple Fatigue Types Questionnaire (MFTQ), a five-factor instrument that distinguishes between different types of fatigue. A cluster analysis was used to classify patients into various clusters based upon factor subscale scores. Using a three-factor solution, individuals were classified according to illness severity (low, moderate, severe) across the different fatigue factors. However, a 5-cluster solution enabled participants with moderate to severe fatigue levels to fall out into more differentiated clusters and demonstrate distinct fatigue state patterns. These results suggest that fatigue patterns of individuals with ME/CFS are heterogeneous and patients may be classified into meaningful subgroups.
机译:患有肌性脑脊髓炎/慢性疲劳综合症(ME / CFS)的人经常抱怨与正常的日常疲劳在质量上有所不同的疲劳状态(例如,运动后不适,脑雾)。鉴于ME / CFS的异质性,患有这种疾病的个体在严重程度和频率上可能会经历不同的疲劳类型。关于疲劳经历的不同模式,也可能存在有意义的患者亚组。这项研究的目的是调查是否可以根据ME / CFS所经历的疲劳的不同类型对其进行有意义的分类。一百名患有ME / CFS的人参加了研究。对符合入组标准的个体进行多重疲劳类型调查表(MFTQ),这是一种区分不同类型疲劳的五因素仪器。基于因子子量表得分,使用聚类分析将患者分为不同的聚类。使用三因素解决方案,可根据疾病严重程度(低,中,重)对不同的疲劳因素对个体进行分类。但是,五聚类解决方案使中度至重度疲劳水平的参与者能够分成更多差异化的集群,并表现出独特的疲劳状态模式。这些结果表明,ME / CFS患者的疲劳模式是异质的,患者可分为有意义的亚组。

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