Risk of myocarditis after three doses of COVID-19 mRNA vaccines in the United States, 2020-2022: A self-controlled

Daoyuan Lai1, Dickson Lim1, Junfeng Lu2

  • 1Department of Statistics and Actuarial Science, Faculty of Science, The University of Hong Kong, Hong Kong SAR, China.

Abstract

Insights

COVID-19 mRNA vaccines show an increased risk of myocarditis after the second and third doses, particularly in individuals under 30. This study quantifies the risk using a novel method for analyzing vaccine safety data.

Area of Science:

  • Cardiology
  • Immunology
  • Vaccinology

Background:

  • Myocarditis is a known safety concern associated with COVID-19 mRNA vaccines.
  • Previous research has limited data on the risk after the third dose and comparative risks across doses.
  • The Vaccine Adverse Event Reporting System (VAERS) is a valuable tool but has limitations like underreporting and lack of control groups.

Purpose of the Study:

  • To quantify the risk of myocarditis following different doses of COVID-19 mRNA vaccines.
  • To compare the risk of myocarditis between the second and third doses.
  • To address limitations of passive surveillance data using a novel analytical approach.

Main Methods:

  • A modified self-controlled case series method was applied to VAERS data.
  • The study analyzed the temporal association between vaccination and myocarditis onset.
  • The case reporting process within VAERS was explicitly modeled to improve data interpretation.

Main Results:

  • An elevated risk of myocarditis was observed within 1-3 days post-second and third doses of both BNT162b2 and mRNA-1273 vaccines.
  • Relative incidence (RI) for the second dose was 4.89 (BNT162b2) and 2.86 (mRNA-1273).
  • RI for the third dose was 9.04 (BNT162b2) and 4.71 (mRNA-1273), with a similar increased risk noted in individuals under 30.

Conclusions:

  • Findings indicate safety concerns regarding COVID-19 mRNA vaccines and myocarditis risk.
  • The study provides quantitative insights into myocarditis risk at various postvaccination times.
  • A novel method for analyzing passive surveillance data was successfully developed and applied.

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