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抗中性粒细胞胞浆抗体相关性血管炎患者抑郁障碍的预测因素。

Predictor of depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis.

机构信息

Division of Rheumatology, Department of Internal Medicine, Institute for Immunology and Immunological Diseases, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.

Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea.

出版信息

Clin Rheumatol. 2019 Dec;38(12):3485-3491. doi: 10.1007/s10067-019-04657-4. Epub 2019 Jul 16.

Abstract

We investigated the frequency of depressive disorders and determined the predictors of depressive disorders in Korean patients with antineutrophil cytoplasmic antibody-associated vasculitis. Sixty-one patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) were enrolled in this study. We assessed the Birmingham vasculitis activity score (BVAS), vasculitis damage index (VDI) and the Korean version of the short form 36-item Health Survey (SF-36). SF-36 consists of the mental component score (MCS) and physical component score (PCS). Depression disorder was identified based on the Korean version of the Center for Epidemiologic Studies Depression Scale-Revised (K-CESD-R) ≥ 16. Mood states including depression were assessed by the Korean edition of the Profile of Mood States (K-POMS) subscales. The mean age was 62.2 years (19 men). Twenty-eight AAV patients (45.9%) had depressive disorders based on K-CESD-R ≥ 16. Both SF-36 MCS and SF-36 PCS were negatively correlated with K-CESD-R (r = - 0.687 and r = - 0.594) and K-POMS depression (r = - 0.604 and r = - 0.480), respectively. The optimal cut-offs of SF-36 MCS and SF-36 PCS for depressive disorders based on K-CESD-R ≥ 16 were obtained as 48.07 and 55.63. Patients with SF-36 MCS ≤ 48.07 exhibited a significantly high RR for depressive disorders, compared with those without (RR 42.667). Also, patients with SF-36 PCS ≤ 55.63 showed a significantly high RR depressive disorder, compared with those without (RR 13.619). We demonstrated that SF-36 could help to estimate the current depressive disorders. We also suggest a method to obtain the optimal cut-offs of SF-36 to predict depressive disorders.Key points• Both SF-36 MCS and SF-36 PCS were negatively correlated with K-CESD-R and K-POMS depression.• Patients with SF-36 MCS ≤ 48.07 exhibited a significantly high relative risk (RR) for depressive disorders, compared with those without (RR 42.667).• Patients with SF-36 PCS ≤ 55.63 showed a significantly high RR depressive disorder, compared with those without (RR 13.619).

摘要

我们调查了韩国抗中性粒细胞胞浆抗体相关性血管炎患者抑郁障碍的频率,并确定了其抑郁障碍的预测因素。本研究纳入了 61 例抗中性粒细胞胞浆抗体(ANCA)相关性血管炎(AAV)患者。我们评估了 Birmingham 血管炎活动评分(BVAS)、血管炎损伤指数(VDI)和韩国版 36 项简明健康调查量表(SF-36)。SF-36 包括精神成分评分(MCS)和身体成分评分(PCS)。抑郁障碍的识别基于韩国版流行病学研究抑郁量表修订版(K-CESD-R)≥16。通过韩国版状态特质焦虑量表(K-POMS)子量表评估心境状态,包括抑郁。患者平均年龄为 62.2 岁(19 名男性)。根据 K-CESD-R≥16,28 例 AAV 患者(45.9%)存在抑郁障碍。SF-36 MCS 和 SF-36 PCS 均与 K-CESD-R(r=-0.687 和 r=-0.594)和 K-POMS 抑郁(r=-0.604 和 r=-0.480)呈负相关。基于 K-CESD-R≥16,SF-36 MCS 和 SF-36 PCS 预测抑郁障碍的最佳截断值分别为 48.07 和 55.63。SF-36 MCS≤48.07 的患者发生抑郁障碍的 RR 明显高于无抑郁障碍的患者(RR 42.667)。此外,SF-36 PCS≤55.63 的患者发生抑郁障碍的 RR 明显高于无抑郁障碍的患者(RR 13.619)。我们证明 SF-36 有助于评估当前的抑郁障碍。我们还建议了一种获得 SF-36 预测抑郁障碍最佳截断值的方法。关键点:• SF-36 MCS 和 SF-36 PCS 均与 K-CESD-R 和 K-POMS 抑郁呈负相关。• SF-36 MCS≤48.07 的患者发生抑郁障碍的 RR 明显高于无抑郁障碍的患者(RR 42.667)。• SF-36 PCS≤55.63 的患者发生抑郁障碍的 RR 明显高于无抑郁障碍的患者(RR 13.619)。

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