Risk of Repeated Adverse Effects following Booster Dose of mRNA COVID-19 Vaccine: Results from the MOSAICO Study.
Pietro FerraraDomenico PonticelliLorenzo LosaClaudia RomeoRoberto MagliuoloAndrea VitaleAnna ZampellaLucia AlleanzaMario BorrelliBeniamino SchiavoneLorenzo Giovanni MantovaniPublished in: Vaccines (2023)
The successful deployment of safe and effective vaccines against coronavirus disease 2019 (COVID-19) has been crucial in reducing the global disease burden. Owing to the need for vaccination series over time, continuous observational studies are needed to estimate the COVID-19 vaccine response in real-world conditions. In particular, the detection, assessment, and understanding of adverse effects following immunization (AEFI) with a COVID-19 vaccine are crucial to better address vaccination strategies. Therefore, this study aimed to investigate the risk of repeated AEFI post-administration of a booster dose of mRNA COVID-19 vaccine in a sample of healthcare workers (HCWs) in an Italian teaching hospital. The data on any local and systemic AEFI were studied in multivariate Poisson regression analyses to model the association between the incidence of each postvaccination symptom and its prior reporting after the administration of the previous doses. Overall, compared with the primary vaccination series, the majority of post-third dose AEFI were less reported. The results from multivariable models showed that the likelihood of reporting an AEFI after the third dose was higher in those who experienced the same postvaccination symptom after the second dose (all AEFI except for itch at injection site) and, although not significant for all AEFI, after the first dose. Any associations with age, gender, smoking habits, previous SARS-CoV-2 infection and other characteristics, as well as the health impact of AEFI were also assessed. Taken together, the results from this research support reframe AEFI symptoms as signals of a robust postvaccination reaction as well as of common vaccine response, and they add important data to inform booster vaccination strategies in HCWs and, extensively, in the adult population.
Keyphrases
- coronavirus disease
- sars cov
- respiratory syndrome coronavirus
- healthcare
- public health
- risk factors
- emergency department
- electronic health record
- risk assessment
- multidrug resistant
- data analysis
- depressive symptoms
- ultrasound guided
- machine learning
- binding protein
- health information
- artificial intelligence
- loop mediated isothermal amplification