Stoothoff Jamie, Gleason Kristen, McManimen Stephanie, Thorpe Taylor, Jason Leonard A
Center for Community Research, DePaul University, Chicago, IL, USA.
J Biosens Biomark Diagn. 2017;2(1). doi: 10.15226/2575-6303/2/1/00113. Epub 2017 Jun 26.
Past research has subtyped patients with Myalgic Encephalomyelitis (ME) and Chronic Fatigue Syndrome (CFS) according to factors related to illness onset, illness duration, and age. However, no classification system fully accounts for the wide range of symptom severity, functional disability, progression, and prognosis seen among patients. This study examined whether illness trajectories among individuals with CFS were predictive of different levels of symptomology, functional disability, and energy expenditure. Of the participants (), the majority described their illness as Fluctuating (59.7%), with 15.9% Constantly Getting Worse, 14.1% Persisting, 8.5% Relapsing and Remitting, and 1.9% Constantly Getting Better. The illness courses were associated with significant differences in symptomology on select domains of the DSQ, functioning on select subscales of the SF-36, and on overall levels of energy expenditure. The significant symptomatic and functional differences between groups suggest that subtyping patients with CFS according to illness course is a promising method for creating more homogeneous groups of patients.
过去的研究根据与疾病发作、病程和年龄相关的因素,对肌痛性脑脊髓炎(ME)和慢性疲劳综合征(CFS)患者进行了亚型分类。然而,没有一种分类系统能够完全解释患者中出现的广泛的症状严重程度、功能残疾、病情进展和预后情况。本研究调查了慢性疲劳综合征患者的疾病轨迹是否能预测不同程度的症状、功能残疾和能量消耗。在参与者中,大多数人将他们的疾病描述为波动型(59.7%),15.9%为持续恶化型,14.1%为持续型,8.5%为复发缓解型,1.9%为持续好转型。疾病进程与残疾评定问卷(DSQ)特定领域的症状、36项简短健康调查(SF-36)特定子量表的功能以及总体能量消耗水平存在显著差异有关。各组之间显著的症状和功能差异表明,根据病程对慢性疲劳综合征患者进行亚型分类是创建更同质化患者群体的一种有前景的方法。