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Predictor of depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis
Author(s) -
Jan-Di Yun,
Jung-Hee Ha,
Solah Kim,
Hyung Ah Park,
Juyoung Yoo,
Sung Soo Ahn,
Seung Min Jung,
Jason Jungsik Song,
YongBeom Park,
SangWon Lee
Publication year - 2019
Publication title -
clinical rheumatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.835
H-Index - 82
eISSN - 1434-9949
pISSN - 0770-3198
DOI - 10.1007/s10067-019-04657-4
Subject(s) - medicine , vasculitis , depression (economics) , anti neutrophil cytoplasmic antibody , mood disorders , profile of mood states , rheumatology , systemic vasculitis , major depressive disorder , gastroenterology , mood , psychiatry , anxiety , disease , amygdala , economics , macroeconomics
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).

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