| アブストラクト | Systemic capillary leak syndrome (SCLS) is a rare and potentially life-threatening disorder characterized by reversible plasma extravasation and vascular collapse. This study aimed to investigate the association between different types of COVID-19 vaccine and SCLS in a real-world setting. We used individual case safety reports of SCLS after COVID-19 vaccination from the WHO pharmacovigilance database, VigiBase. A disproportionality analysis of ChAdOx1 nCoV-19 and mRNA-based vaccines was performed. The information component (IC) and reporting odds ratio (ROR) were calculated from the entire database and viral vaccines data subset. A positive 95% lower end of the IC (IC025) value (>0) using Bayesian neural network analysis and lower end of the ROR 95% confidence interval (ROR025) >/=1 were defined as the ADR signal detection threshold. A total of 101 (0.004%) events of SCLS were identified. A significant potential signal of disproportionality of SCLS was noted in ChAdOx1 nCoV-19 when applied as the denominator for entire database (IC025 = 0.24, ROR025 = 1.23) and all viral vaccines (IC025 = 0.41, ROR025 = 1.59). No significant potential signal was noted for two mRNA-based vaccines as denominators for the entire database (IC025 = -0.49, ROR025 = 0.71) and all viral vaccines (IC025 = -0.32, ROR025 = 0.77). Contrary to ChAdOx1 nCoV-1, no safety signal for developing SCLS was identified for mRNA-based vaccines. |
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| ジャーナル名 | Vaccines |
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| Pubmed追加日 | 2022/6/25 |
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| 投稿者 | Park, Jin; Kim, Dongyeop; Song, Tae-Jin |
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| 組織名 | Department of Neurology, Seoul Hospital, Ewha Womans University College of;Medicine, 260 Gonghang-daero, Gangseo-gu, Seoul 07804, Korea. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/35746443/ |
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