抑郁是原发性Sjögren综合征患者疲劳最显著的独立预测因子。

IF 1.1 Q4 RHEUMATOLOGY Archives of rheumatology Pub Date : 2022-12-30 eCollection Date: 2023-09-01 DOI:10.46497/ArchRheumatol.2023.9790
Koray Ayar, Meliha Kasapoğlu Aksoy, Tülay Dilara Hattatoğlu, Büşra Yeşil
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引用次数: 0

摘要

目的:本研究旨在评估原发性Sjögren's综合征(PSS)患者的疲劳水平以及情绪、疼痛、纤维肌痛、失眠、疾病活动和干燥伴疲劳之间的关系。患者和方法:在这项病例对照研究中,参与者于2021年1月至2021年7月招募。采用慢性疾病治疗疲劳功能评估(FACIT-F)、疼痛检测问卷、贝克抑郁量表(BDI)、贝克焦虑量表(BAI)、失眠严重程度指数(ISI)对50例PSS患者(女性48例,男性2例;平均年龄:48.9±10.8岁;中位年龄:47岁;年龄范围29至71岁)和60名健康对照者(hc;女性57人,男性3人;平均年龄49.8±8.4岁,中位年龄52岁;范围:32至72年)。此外,还测定了PSS患者的EULAR Sjögren综合征疾病活动指数(ESSPRI)、EULAR Sjögren综合征患者报告指数(ESSDAI)、疼痛阈值、Schirmer试验和全非刺激唾液流速测量。结果:PSS患者和hc患者的疲劳频率分别为54.0%和8.3%。伴疲乏和不伴疲乏的PSS患者心境障碍(BDI≥11)率分别为70.4%和13.1%。BDI (Rho=-0.804)、BAI (Rho=-0.586)、ISI (Rho=-0.483)、ESSDAI (Rho=-0.345)与疲劳亚量表得分呈负相关。抑郁症[优势比(OR): 1.214,可信区间(CI): 1.007-1.463],纤维肌痛(OR: 21.674, CI: 1.470-319.469),疾病活动性(OR: 1.440;CI: 1.005-2.065)和失眠(OR: 1.223, CI: 1.003-1.4922)被确定为PSS患者疲劳的独立预测因子。结果表明,单凭BD可以预测84%的PSS患者的疲劳。结论:抑郁是PSS患者疲劳的重要预测因素。有必要研究评估抗抑郁治疗方法对PSS患者疲劳伴情绪障碍的影响。
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Depression is the most significant independent predictor of fatigue in patients with primary Sjögren's syndrome.

Objectives: The study aimed to evaluate the level of fatigue and the relationship between mood, pain, fibromyalgia, insomnia, disease activity, and dryness with fatigue in primary Sjögren's syndrome (PSS) patients.

Patients and methods: In this case-control study, the participants were recruited between January 2021 and July 2021. Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F), pain DETECT questionnaire, Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Insomnia Severity Index (ISI) were administered to 50 PSS patients (48 females, 2 males; mean age: 48.9±10.8 years; median age: 47 years; range, 29 to 71 years) and 60 healthy controls (HCs; 57 females, 3 males; mean age: 49.8±8.4 years, median age: 52 years; range, 32 to 72 years). In addition, EULAR Sjögren's syndrome disease activity index (ESSPRI), EULAR Sjögren's Syndrome Patient Reported Index (ESSDAI), pain thresholds, Schirmer tests, and whole unstimulated salivary flow rate measurements were determined in PSS patients. Independent predictors of fatigue (fatigue subscale scores <30.5) were investigated by logistic regression analysis.

Results: The frequency of fatigue in PSS patients and HCs was 54.0% and 8.3%, respectively. The rates of mood disturbance (BDI ≥11) in PSS patients with and without fatigue were 70.4% and 13.1%, respectively. BDI (Rho=-0.804), BAI (Rho=-0.586), ISI (Rho=-0.483), and ESSDAI (Rho=-0.345) were negatively correlated with the fatigue subscale score. Depression [Odds ratio (OR): 1.214, confidence interval (CI): 1.007-1.463], fibromyalgia (OR: 21.674, CI: 1.470-319.469), disease activity (OR: 1.440; CI: 1.005-2.065), and insomnia (OR: 1.223, CI: 1.003-1.4922) were identified as independent predictors of fatigue in PSS patients. It was determined that BD alone could predict fatigue by 84% in PSS patients.

Conclusion: Depression can be a prominent predictor of fatigue in PSS patients. There is a need for studies evaluating the effect of antidepressant treatment approaches on fatigue accompanied by mood disturbance in PSS patients.

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