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

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

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Abstract

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).

Original languageEnglish
Pages (from-to)3485-3491
Number of pages7
JournalClinical Rheumatology
Volume38
Issue number12
DOIs
Publication statusPublished - 2019 Dec 1

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Antineutrophil Cytoplasmic Antibodies
Depressive Disorder
Vasculitis
Depression
Epidemiologic Studies
Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis
Health Surveys

All Science Journal Classification (ASJC) codes

  • Rheumatology

Cite this

Yun, Jan Di ; Ha, Junghee ; Kim, Solah ; Park, Hyung Ah ; Yoo, Juyoung ; Ahn, Sung Soo ; Jung, Seung Min ; Song, Jason Jungsik ; Park, Yong Beom ; Lee, Sang Won. / Predictor of depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis. In: Clinical Rheumatology. 2019 ; Vol. 38, No. 12. pp. 3485-3491.
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abstract = "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).",
author = "Yun, {Jan Di} and Junghee Ha and Solah Kim and Park, {Hyung Ah} and Juyoung Yoo and Ahn, {Sung Soo} and Jung, {Seung Min} and Song, {Jason Jungsik} and Park, {Yong Beom} and Lee, {Sang Won}",
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Yun, JD, Ha, J, Kim, S, Park, HA, Yoo, J, Ahn, SS, Jung, SM, Song, JJ, Park, YB & Lee, SW 2019, 'Predictor of depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis', Clinical Rheumatology, vol. 38, no. 12, pp. 3485-3491. https://doi.org/10.1007/s10067-019-04657-4

Predictor of depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis. / Yun, Jan Di; Ha, Junghee; Kim, Solah; Park, Hyung Ah; Yoo, Juyoung; Ahn, Sung Soo; Jung, Seung Min; Song, Jason Jungsik; Park, Yong Beom; Lee, Sang Won.

In: Clinical Rheumatology, Vol. 38, No. 12, 01.12.2019, p. 3485-3491.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Predictor of depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis

AU - Yun, Jan Di

AU - Ha, Junghee

AU - Kim, Solah

AU - Park, Hyung Ah

AU - Yoo, Juyoung

AU - Ahn, Sung Soo

AU - Jung, Seung Min

AU - Song, Jason Jungsik

AU - Park, Yong Beom

AU - Lee, Sang Won

PY - 2019/12/1

Y1 - 2019/12/1

N2 - 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).

AB - 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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