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Erschienen in: Clinical Rheumatology 12/2019

16.07.2019 | Brief Report

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

verfasst von: 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

Erschienen in: Clinical Rheumatology | Ausgabe 12/2019

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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).
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Metadaten
Titel
Predictor of depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis
verfasst von
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
Publikationsdatum
16.07.2019
Verlag
Springer London
Erschienen in
Clinical Rheumatology / Ausgabe 12/2019
Print ISSN: 0770-3198
Elektronische ISSN: 1434-9949
DOI
https://doi.org/10.1007/s10067-019-04657-4

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