George Washington University School of Medicine, Washington, USA.
Division of Immunology/Rheumatology, Stanford University School of Medicine, Palo Alto, USA.
Lupus. 2021 Apr;30(4):578-586. doi: 10.1177/0961203320983892. Epub 2021 Jan 7.
Fatigue is one of the most common symptoms reported in patients living with SLE. We aim to: 1) determine if different trajectories of fatigue associate with specific latent classes of disease activity and 2) define the patient characteristics and associated factors in different latent classes.
Data from an inception cohort of adult patients from the Toronto Lupus Clinic from 1997-2018 were analyzed. Fatigue levels were measured using Fatigue Severity Scale (FSS) and disease activity by the Adjusted Mean Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) (AMS). Dual latent class trajectory analysis, for fatigue and AMS, was performed. Univariable and multivariable logistic regression analyses assessed the association of baseline variables with class membership.
Among 280 patients, 4 dual classes (C) of fatigue and disease activity were identified: C1- lowest disease activity and second highest fatigue trajectory (27%); C2- second highest disease activity and highest fatigue trajectory (30%); C3-moderate disease activity and lowest fatigue trajectory (33%); and C4- highest disease activity and moderate fatigue trajectory (10%).
4 distinct latent classes of dual fatigue and disease activity trajectories were identified. Fatigue and disease activity follow distinct trajectories and disease activity alone cannot fully explain fatigue trajectories. Trajectories with higher FSS scores were associated with more fibromyalgia and trajectories with higher disease activity were associated with higher cumulative glucocorticoid use. Higher baseline glucocorticoid use was more likely associated with more fatigue while older age at SLE diagnosis was associated with less fatigue.
疲劳是系统性红斑狼疮(SLE)患者最常见的症状之一。我们旨在:1)确定不同疲劳轨迹与特定疾病活动潜在类别之间的关联;2)定义不同潜在类别中的患者特征和相关因素。
对来自多伦多狼疮诊所 1997-2018 年的成人患者的一个起始队列的数据进行了分析。使用疲劳严重程度量表(FSS)和调整后的平均系统性红斑狼疮疾病活动指数 2000(SLEDAI-2K)(AMS)评估疲劳水平和疾病活动。对疲劳和 AMS 进行双潜在类别轨迹分析。单变量和多变量逻辑回归分析评估了基线变量与类别成员资格的相关性。
在 280 名患者中,确定了 4 种疲劳和疾病活动的双类(C):C1-最低疾病活动和第二高疲劳轨迹(27%);C2-第二高疾病活动和最高疲劳轨迹(30%);C3-中度疾病活动和最低疲劳轨迹(33%);和 C4-最高疾病活动和中度疲劳轨迹(10%)。
确定了 4 种不同的疲劳和疾病活动双轨迹潜在类别。疲劳和疾病活动遵循不同的轨迹,单独的疾病活动不能完全解释疲劳轨迹。FSS 评分较高的轨迹与更多的纤维肌痛相关,而疾病活动较高的轨迹与更高的累积糖皮质激素使用相关。更高的基线糖皮质激素使用更可能与更多的疲劳相关,而 SLE 诊断时的年龄较大与疲劳较少相关。