Association between Vaccination with the BNT162b2 mRNA Coronavirus Disease 2019 Vaccine and Noninfectious Uveitis: A Population-Based Study

PURPOSE: To assess the association between BNT162b2 mRNA coronavirus disease 2019 (COVID-19) vaccine and the risk of active noninfectious uveitis (NIU). DESIGN: Retrospective, population-based study. PARTICIPANTS: Two million six hundred two thousand five hundred fifty-seven people who received the first vaccine dose between December 20, 2020, and April 30, 2021, and 2 441 719 people who received the second vaccine dose between January 10, 2021, and April 30, 2021. METHODS: Events of active NIU were included if they occurred within 21 days after either vaccine dose. Active NIU was defined as newly active or worsening ocular inflammation requiring initiation or increase in local or systemic corticosteroids. Observed cases were compared with the expected number, based on the experience of the population in 2019. MAIN OUTCOME MEASURES: Age- and sex-adjusted standardized incidence ratios (SIRs) and attributable risks after BNT126b2 vaccination. RESULTS: Overall, 100 and 88 events of active NIU were recorded within 21 days after the first and second vaccine doses, respectively. Using the experience of the population in 2019 as a reference, after the first dose, the estimated age- and sex-adjusted SIR was 1.41 (95% confidence interval [CI], 1.15–1.71) along with a 21-day attributable risk of 1.12 cases per 100 000 vaccinees. After the second dose, the SIR was 1.31 (95% CI, 1.05–1.62), with an estimated attributable risk of 0.86 cases per 100 000 vaccinees. Anterior uveitis was the most common site of inflammation, occurring in 90.96% of eyes, and idiopathic uveitis was the most common cause (56.38%). CONCLUSIONS: This study suggests that the BNT162b2 mRNA COVID-19 vaccine may be associated with an increased risk of active NIU. However, considering the small effect size and study limitations, this study does not provide proof for a cause-and-effect relationship. The small estimated attributable risks suggest that the impact on public health is relatively minor.