A Comparative Analysis of COVID-19 Vaccines Based on over 580,000 Cases from the Vaccination Adverse Event Reporting System.

COVID-19 Guillain–Barré syndrome carditis real-world evidence thrombosis vaccine safety

Journal

Vaccines
ISSN: 2076-393X
Titre abrégé: Vaccines (Basel)
Pays: Switzerland
ID NLM: 101629355

Informations de publication

Date de publication:
08 Mar 2022
Historique:
received: 27 01 2022
revised: 23 02 2022
accepted: 04 03 2022
entrez: 26 3 2022
pubmed: 27 3 2022
medline: 27 3 2022
Statut: epublish

Résumé

Background: The COVID-19 pandemic is being battled via the largest vaccination campaign in history, with more than eight billion doses administered thus far. Therefore, discussions about potentially adverse reactions, and broader safety concerns, are critical. The U.S. Vaccination Adverse Event Reporting System (VAERS) has recorded vaccination side effects for over 30 years. About 580,000 events have been filed for COVID-19 thus far, primarily for the Johnson & Johnson (New Jersey, USA), Pfizer/BioNTech (Mainz, Germany), and Moderna (Cambridge, USA) vaccines. Methods: Using available databases, we evaluated these three vaccines in terms of the occurrence of four generally-noticed adverse reactions—namely, cerebral venous sinus thrombosis, Guillain−Barré syndrome (a severe paralytic neuropathy), myocarditis, and pericarditis. Our statistical analysis also included a calculation of odds ratios (ORs) based on total vaccination numbers, accounting for incidence rates in the general population. Results: ORs for a number of adverse events and patient groups were (largely) increased, most notably for the occurrence of cerebral venous sinus thrombosis after vaccination with the Johnson & Johnson vaccine. The overall population OR of 10 increases to 12.5 when limited to women, and further yet (to 14.4) among women below age 50 yrs. In addition, elevated risks were found (i) for Guillain−Barré syndrome (OR of 11.6) and (ii) for myocarditis/pericarditis (ORs of 5.3/4.1, respectively) among young men (<25 yrs) vaccinated with the Pfizer/BioNTech vaccine. Conclusions: Any conclusions from such a retrospective, real-world data analysis must be drawn cautiously, and should be confirmed by prospective double-blinded clinical trials. In addition, we emphasize that the adverse events reported here are not specific side effects of COVID vaccines, and the significant, well-established benefits of COVID-19 vaccination outweigh the potential complications surveyed here.

Identifiants

pubmed: 35335040
pii: vaccines10030408
doi: 10.3390/vaccines10030408
pmc: PMC8950485
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Science Foundation
ID : 1350957
Organisme : Deutsche Forschungsgemeinschaft
ID : KFO339
Organisme : Deutsche Forschungsgemeinschaft
ID : TRR295

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Auteurs

Kathleen Gallo (K)

Institute of Physiology and Science IT, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Andrean Goede (A)

Institute of Physiology and Science IT, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Cameron Mura (C)

School of Data Science and Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA.

Renata Abel (R)

Institute of Physiology and Science IT, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Barbara Moahamed (B)

Institute of Physiology and Science IT, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Saskia Preissner (S)

Department of Oral and Maxillofacial Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Susanne Nahles (S)

Department of Oral and Maxillofacial Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Max Heiland (M)

Department of Oral and Maxillofacial Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Philip E Bourne (PE)

School of Data Science and Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA.

Robert Preissner (R)

Institute of Physiology and Science IT, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Michael Mallach (M)

Institute of Physiology and Science IT, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Classifications MeSH