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

Authors
 Jan-Di Yun  ;  Junghee Ha  ;  Solah Kim  ;  Hyung Ah Park  ;  Juyoung Yoo  ;  Sung Soo Ahn  ;  Seung Min Jung  ;  Jason Jungsik Song  ;  Yong-Beom Park  ;  Sang-Won Lee 
Citation
 CLINICAL RHEUMATOLOGY, Vol.38(12) : 3485-3491, 2019 
Journal Title
 CLINICAL RHEUMATOLOGY 
ISSN
 0770-3198 
Issue Date
2019
Keywords
Antineutrophil cytoplasmic antibody–associated vasculitis ; Depression ; Predictor ; SF-36
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).
Full Text
https://link.springer.com/article/10.1007%2Fs10067-019-04657-4
DOI
10.1007/s10067-019-04657-4
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers
Yonsei Authors
Park, Yong Beom(박용범)
Song, Jason Jungsik(송정식) ORCID logo https://orcid.org/0000-0003-0662-7704
Ahn, Sung Soo(안성수) ORCID logo https://orcid.org/0000-0002-9002-9880
Yoo, Juyoung(유주영) ORCID logo https://orcid.org/0000-0001-8882-1695
Lee, Sang-Won(이상원) ORCID logo https://orcid.org/0000-0002-8038-3341
Jung, Seung Min (정승민) ORCID logo https://orcid.org/0000-0003-3465-2181
Ha, Junghee(하정희)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/174535
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