A cross-sectional study on the association of anxiety and depression with the disease activity of systemic lupus erythematosus

一项关于焦虑和抑郁与系统性红斑狼疮疾病活动度关联的横断面研究

阅读:1

Abstract

BACKGROUND: Systemic Lupus Erythematosus (SLE) is an autoimmune disease that affects multiple systems and increases the risk of mental disorders such as depression and anxiety. We conducted an observational, single-center, cross-sectional study to investigate the relationship between depression, anxiety, and SLE disease activity. METHODS: The Patient Health Questionnaire 9 (PHQ-9) was used to assess depression, and the 7-item Generalized Anxiety Disorders Scale was used to assess anxiety (GAD-7). Using the chi-square/exact Fisher's tests, socio-demographic data, clinical and other characteristics of SLE patients were compared between depression or anxiety and non-depression/non-anxiety groups. To identify optimal levels of Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) for predicting depression or anxiety, receiver-operator curves (ROC) were drawn. RESULTS: Among the 325 patients involved in this study, patients with depression or anxiety had significantly higher SLE activity (p < 0.001), and more frequent musculoskeletal (p < 0.05) and neuropsychiatric symptoms (p < 0.05). Depression and anxiety are more common in the moderate-severe active group than in the inactive-mild active group (depression: OR 3.350, 95%CI 2.015, 5.570, p < 0.001; anxiety: OR 4.085, 95%CI 2.493, 6.692, p < 0.001). The optimal SLEDAI cutoff value of 8.5 predicted depression with a sensitivity of 50.5% and a specificity of 78.4% (AUC 0.660, p < 0.001) and anxiety with a sensitivity of 54.2% and a specificity of 78.4% (AUC 0.684, p < 0.001). CONCLUSION: SLE disease activity is positively associated with the severity of depression and anxiety. Those patients whose SLEDAI scores are greater than 8.5 are more likely to suffer from mental disorders which require additional attention to them.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。