Department of Rheumatology, University of Toronto, Toronto, Ontario.
Max Rady Faculty of Health Sciences, Children's Hospital Research Institute of Manitoba, University of Manitoba, Manitoba.
Rheumatology (Oxford). 2020 Oct 1;59(10):3032-3041. doi: 10.1093/rheumatology/keaa091.
To examine for latent patterns of SLE disease activity trajectories that associate with specific latent patterns of health-related quality of life (HRQoL; Medical Outcomes Study Short Form-36), and to determine baseline predictors of class membership.
In this retrospective longitudinal inception cohort of 222 SLE adults over 10 years, trajectories of three outcomes were studied jointly: Short Form-36 physical (PCS) and mental (MCS) component summaries and adjusted mean SLEDAI-2000 (AMS). Group-based joint trajectory modelling was used to model latent classes; univariable and multivariable analyses were used to identify predictors of class membership.
Four latent classes were identified: Class 1 (C1) (24%) had moderate AMS, and persistently low PCS and MCS; C2 (26%) had low AMS, moderate PCS and improved then worsened MCS; C3 (38%) had moderate AMS, and persistently high PCS and MCS; and C4 (11%) had high AMS, moderate-low PCS and improving MCS. Baseline older age was associated with lower HRQoL trajectories. Higher AMS trajectories did not associate with a particular pattern of HRQoL trajectory. A higher prevalence of fibromyalgia (44% in C1) was associated with worse HRQoL trajectories. Disease manifestations, organ damage and cumulative glucocorticoid were not differentially distributed across the latent classes.
High disease activity did not necessarily associate with low HRQoL. More patients with worse HRQoL trajectories had fibromyalgia. Older age at diagnosis increased the probability of belonging to a class with low HRQoL trajectories. The care of SLE patients may be improved through addressing fibromyalgia in addition to disease activity.
探讨与健康相关生活质量(医疗结局研究 36 项简短形式量表[SF-36])特定潜在模式相关的隐匿性系统性红斑狼疮(SLE)疾病活动轨迹模式,并确定类别归属的基线预测因素。
本研究为回顾性纵向发病队列,纳入了 222 例超过 10 年的成人 SLE 患者,联合研究了三个结局的轨迹:SF-36 躯体成分(PCS)和精神成分(MCS)综合评分和调整后的平均 SLEDAI-2000(AMS)。采用基于群组的联合轨迹建模来对潜在类别进行建模;采用单变量和多变量分析来确定类别归属的预测因素。
共确定了 4 个潜在类别:C1 类(24%)的 AMS 中度升高,且 PCS 和 MCS 持续较低;C2 类(26%)的 AMS 较低,PCS 中度升高,随后 MCS 恶化;C3 类(38%)的 AMS 中度升高,且 PCS 和 MCS 持续较高;C4 类(11%)的 AMS 较高,PCS 中度降低,MCS 逐渐改善。基线年龄较大与较低的 HRQoL 轨迹相关。较高的 AMS 轨迹与特定的 HRQoL 轨迹模式无关。较高的纤维肌痛患病率(C1 类中 44%)与较差的 HRQoL 轨迹相关。疾病表现、器官损伤和累积糖皮质激素在潜在类别中无差异分布。
高疾病活动度不一定与低 HRQoL 相关。更多 HRQoL 轨迹较差的患者患有纤维肌痛。诊断时年龄较大增加了属于 HRQoL 轨迹较差类别的概率。除了控制疾病活动度外,还可以通过解决纤维肌痛来改善 SLE 患者的治疗。