睡眠障碍是基孔肯雅关节炎严重程度的重要预测因子。

Sarah R Tritsch, Richard Amdur, Liliana Encinales, Andres Cadena, Paige Fierbaugh, Geraldine Avendaño, Carlos Andres Herrera Gomez, Karol Suchowiecki, Evelyn Mendoza-Torres, Wendy Rosales, Dennys Jimenez, Carlos Alberto Perez Hernandez, Alfonso Sucerquia Hernandez, Paula Bruges Silvera, Yerlenis Galvis Crespo, Alberto David Cabana Jimenez, Jennifer Carolina Martinez Zapata, Christopher N Mores, Gary S Firestein, Gary Simon, Aileen Y Chang
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引用次数: 1

摘要

目的:本研究的主要目的是探讨与基孔肯雅病毒(CHIKV)感染相关的睡眠和突然疼痛之间的联系。次要目的是研究细胞因子和T调节(Treg)细胞是否对这种关系有影响。方法:采用在哥伦比亚巴兰基亚收集的数据进行横断面研究,纳入有或无慢性关节炎且有基孔肯雅感染史的患者。耀斑严重程度采用适用于CHIKV关节炎的一种版本的类风湿关节炎临床试验结果测量(OMERACT)耀斑问卷来测量,包括关节炎引起的疼痛、身体活动困难、疲劳、僵硬和维持社交活动困难等指标,这些指标有助于耀斑严重程度。此外,还测量了4个睡眠障碍项目、5个炎症细胞因子水平、4个抗炎细胞因子水平和6个Treg水平。然后,采用多变量线性回归模型来检验发作性疼痛对睡眠障碍的直接和间接影响,并确定这种关系是由细胞因子还是Tregs介导的。最后,使用SAS CALIS程序检验路径模型,显示可能的因果效应与中介和混杂因素。结果:分析显示睡眠障碍与CHIKV关节炎发作疼痛呈正相关,并且在调整人口统计学变量、细胞因子和T细胞水平后,睡眠障碍是发作严重程度的重要预测因子。此外,T细胞和细胞因子都不能介导CHIKV关节炎的疼痛/睡眠关系。结论:睡眠障碍与关节炎发作疼痛及严重程度有较强的相关性;然而,这种关系不是由细胞因子或T细胞介导的。由于这项研究无法确定因果关系,需要进一步的研究来确定睡眠障碍和CHIKV关节炎发作之间关系的潜在机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity.

Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity.

Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity.

Sleep Disturbances are a Significant Predictor of Chikungunya Arthritis Flare Severity.

Objective: The primary objective of this research was to explore the link between sleep and flare pain associated with chikungunya virus (CHIKV) infection. The secondary objective was to investigate if cytokines and T regulatory (Treg) cells have an influence on this relationship.

Methods: A cross-sectional study was performed using data collected in Barranquilla, Colombia, which enrolled patients with and without chronic arthritis with a history of chikungunya infection. Flare severity was measured by a version of the Outcome Measures in Rheumatoid Arthritis Clinical Trials (OMERACT) flare questionnaire adapted for CHIKV arthritis, including metrics for pain, difficulty with physical activity, fatigue, stiffness and difficulty maintaining social activities due to arthritis that contribute to flare severity. In addition, four sleep disturbance items, five inflammatory cytokine levels, four anti-inflammatory cytokine levels, and six Treg levels were measured. Then, multivariable linear regression models were used to test the direct and indirect effects of flare-pain on sleep disturbance, and to determine whether this relationship was mediated by cytokines or Tregs. Finally, the SAS CALIS procedure was used to test path models showing possible causal effects with mediators and confounds.

Results: The analysis showed that sleep disturbance is positively correlated with CHIKV arthritis flare pain, and that it is a significant predictor of flare severity after adjusting for demographic variables, cytokine, and T cell levels. Further, neither T cells nor cytokines mediate the pain/sleep relationship in CHIKV arthritis.

Conclusion: There is a strong association between sleep disturbance and arthritis flare pain and severity; however, this relationship is not mediated by cytokines or T cells. Since this study is unable to determine causation, further research is needed to determine the mechanism underlying the relationship between sleep disturbances and CHIKV arthritis flares.

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