Birmingham vasculitis activity score and the short form 36-item health survey predict current depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis during the SARS-CoV-2 pandemic

Abstract

Introduction: This study compared the frequency and severity of depressive disorders in patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV) before and during the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) pandemic using the Korean version of the Center for Epidemiologic Studies Depression Scale-Revised (K-CESD-R) and the Korean version of the Profile of Mood States (K-POMS) depression, and further determined predictors of current depressive disorders in the patients during the pandemic.

Methods: Of the 61 patients with AAV who participated before the pandemic, 8 patients were transferred to other hospitals, 3 patients died, and 2 patients refused to participate in this study. Finally, 48 patients participated in this study. Depression disorders were defined as K‑CESD-R ≥ 16.

Results: When comparing the patterns of mental health between patients with AAV before and during the pandemic, no change in K‑CESD‑R or K‑POMS subscale scores was observed. Among AAV-related indices, regardless of the pandemic, the short-form 36-item Health Survey (SF-36) mental component score (MCS) and physical component score (PCS) were significantly correlated with K‑CESD‑R and could predict current depressive disorders. When the cut-off of Birmingham vasculitis activity score (BVAS) for depressive disorders was obtained by the receiver operator characteristic curve, it significantly predicted current depressive disorders in patients with AAV during the pandemic, unlike those before the pandemic.

Conclusion: We verified that SF-36 MCS and PCS could predict current depressive disorders, regardless of the pandemic, and furthermore, we demonstrated for the first time that BVAS was a predictor of current depressive disorders in patients with AAV during the pandemic unlike those before the pandemic.