Features of Inflammatory Heart Reactions Following mRNA COVID‐19 Vaccination at a Global Level
Laurent Chouchana, Alice Blet, Mohammad Al‐Khalaf, Tahir S Kafil, Girish M. Nair, James A. Robblee, Milou‐Daniel Drici, Marie‐Blanche Valnet‐Rabier, Joëlle Micallef, Francesco Salvo, Jean‐Marc Tréluyer, Peter P. Liu
Abstract
Myocarditis and pericarditis may constitute adverse reactions of mRNA coronavirus disease 2019 (COVID-19) vaccines. This study aimed to document these reactions and to assess the association with patient sex and age. This is as an observational retrospective study using a case-non-case design (also called disproportionality study) on inflammatory heart reactions reported with mRNA COVID-19 vaccines within the World Health Organization (WHO) global safety database (VigiBase), up to June 30, 2021. Results are expressed using reporting odds ratios (RORs) and their 95% confidence interval (95% CI). Of 716,576 reports related to mRNA COVID-19 vaccines, 2,277 were cases of inflammatory heart reactions, including 1241 (55%) myocarditis and 851 (37%) pericarditis. The main age group was 18-29 years (704, 31%), and mostly male patients (1,555, 68%). Pericarditis onset was delayed compared with myocarditis with a median time to onset of 8 (3-21) vs. 3 (2-6) days, respectively (P = 0.001). Regarding myocarditis, an important disproportionate reporting was observed in adolescents (ROR, 22.3, 95% CI 19.2-25.9) and in 18-29 years old (ROR, 6.6, 95% CI 5.9-7.5) compared with older patients, as well as in male patients (ROR, 9.4, 95% CI 8.3-10.6). Reporting rate of myocarditis was increased in young adults and adolescents. Inflammatory heart reactions may rarely occur shortly following mRNA COVID-19 vaccination. Although an important disproportionate reporting of myocarditis was observed among adolescents and young adults, particularly in male patients, reporting rates support a very rare risk, that does not seem to compromise the largely positive benefit-risk balance of these vaccines. Furthermore, this study confirmed the value of disproportionality analyses for estimation of relative risks among subgroups of patients.