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Autoimmune disorders reported following COVID-19 vaccination: A disproportionality analysis using the WHO database
- Kim, Seohyun;
- Bea, Sungho;
- Choi, Nam-Kyong;
- Choe, Seung-Ah;
- Shin, Ju-Young
WEB OF SCIENCE
8SCOPUS
10초록
PurposeOwing to adverse event following immunization (AEFI) related to autoimmune disorders and coronavirus disease 2019 (COVID-19) vaccines sharing common biological mechanisms, identifying the risk of AEFIs associated with COVID-19 vaccines remains a critical unmet need. We aimed to assess the potential safety signals for 16 AEFIs and explore co-reported adverse events (AEs) and drugs using the global database of the World Health Organization, VigiBase.MethodsWe assessed the occurrence of 16 AEFIs following COVID-19 vaccination through the Standardized MedDRA Queries group "Immune-mediated/Autoimmune Disorders" from MedDRA and performed a disproportionality analysis using reporting odds ratio (ROR) and information component (IC) with 95% confidence intervals (CIs).ResultsWe identified 25,219 events associated with COVID-19 vaccines in VigiBase. Although rare, we detected four potential safety signals related to autoimmune disorders following COVID-19 vaccination, including ankylosing spondylitis or psoriatic arthritis (ROR 1.86; 95% CI 1.53-2.27), inflammatory bowel disease (ROR 1.77; 95% CI 1.60-1.96), polymyalgia rheumatica (ROR 1.42; 95% CI 1.30-1.55), and thyroiditis (ROR 1.40; 95% CI 1.30-1.50), with positive IC025 values. The top co-reported AEs were musculoskeletal disorders, and immunosuppressants were the most representative co-reported drugs.ConclusionIn addressing the imperative to comprehend AEFI related to autoimmune disorders following COVID-19 vaccination, our study identified four potential safety signals. Thus, our research underscores the importance of proactive safety monitoring for the identification of the four AEFIs following COVID-19 vaccination, considering the associated advantages.
키워드
- 제목
- Autoimmune disorders reported following COVID-19 vaccination: A disproportionality analysis using the WHO database
- 저자
- Kim, Seohyun; Bea, Sungho; Choi, Nam-Kyong; Choe, Seung-Ah; Shin, Ju-Young
- 발행일
- 2024-01-12
- 유형
- Article
- 권
- 80
- 호
- 3
- 페이지
- 445 ~ 453