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Subtyping Patients with Myalgic Encephalomyelitis (ME) and Chronic Fatigue Syndrome (CFS) By Course of Illness. 肌痛性脑脊髓炎(ME)和慢性疲劳综合征(CFS)患者按病程分型。
Pub Date : 2017-01-01 Epub Date: 2017-06-26 DOI: 10.15226/2575-6303/2/1/00113
Jamie Stoothoff, Kristen Gleason, Stephanie McManimen, Taylor Thorpe, Leonard A Jason

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 (N=541), 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.

以往的研究将肌痛性脑脊髓炎(Myalgic Encephalomyelitis, ME)和慢性疲劳综合征(Chronic Fatigue Syndrome, CFS)患者根据发病、病程和年龄相关因素进行了分型。然而,目前还没有一种分类系统能全面反映患者的症状严重程度、功能障碍、进展和预后。本研究考察了CFS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(N=541)中,大多数人将他们的疾病描述为波动(59.7%),其中15.9%不断恶化,14.1%持续存在,8.5%复发并缓解,1.9%不断好转。病程与DSQ的特定领域的症状学、SF-36的特定亚量表的功能以及总体能量消耗水平的显着差异相关。两组之间显著的症状和功能差异表明,根据病程对CFS患者进行分型是一种很有希望的方法,可以创建更均匀的患者组。
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引用次数: 5
Detection of Biomarkers for Different Diseases on Biosensor Surfaces Part II 生物传感器表面不同疾病生物标志物的检测第二部分
Pub Date : 2015-01-19 DOI: 10.1016/B978-0-444-53794-2.00011-2
A. Sadana, N. Sadana
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引用次数: 0
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Journal of biosensors, biomarkers and diagnostics
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