Risk benefit analysis to evaluate risk of thromboembolic events after mRNA COVID-19 vaccination and COVID-19.


Journal

NPJ vaccines
ISSN: 2059-0105
Titre abrégé: NPJ Vaccines
Pays: England
ID NLM: 101699863

Informations de publication

Date de publication:
13 Sep 2024
Historique:
received: 06 05 2024
accepted: 29 08 2024
medline: 14 9 2024
pubmed: 14 9 2024
entrez: 13 9 2024
Statut: epublish

Résumé

We compared the risks and benefits of COVID-19 vaccines using a causal pathway analysis to weigh up possible risk factors of thromboembolic events post-vaccination. The self-controlled case series (SCCS) method examined the association between thromboembolic events and vaccination while a case-control study assessed the association between thromboembolic events and COVID-19, addressing under-reported infection data issues. The net vaccine effect was estimated using results from SCCS and case-control studies. We used electronic health record data from Corewell Health (16,640 subjects in SCCS and 106,143 in case-control). We found increased risks of thromboembolic events post-vaccination (incidence rate ratio: 1.19, 95% CI: [1.08, 1.31] after the first dose; 1.22, 95% CI: [1.11, 1.34] after the second dose). Vaccination attenuated infection-associated thromboembolic risks (odds ratio: 4.65, 95% CI: [4.18, 5.17] in unvaccinated vs 2.77, 95% CI: [2.40, 3.24] in vaccinated). After accounting for vaccine efficacy and protection against infection-associated thromboembolic events, vaccination decreases thromboembolic event risk, especially during high infection rate periods.

Identifiants

pubmed: 39271677
doi: 10.1038/s41541-024-00960-7
pii: 10.1038/s41541-024-00960-7
doi:

Types de publication

Journal Article

Langues

eng

Pagination

166

Subventions

Organisme : Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.)
ID : R01AI158543

Informations de copyright

© 2024. The Author(s).

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Auteurs

Huong N Q Tran (HNQ)

Division of Biostatistics & Health Informatics, Corewell Health Research Institute, Royal Oak, MI, USA.

Malcolm Risk (M)

Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.

Girish B Nair (GB)

William Beaumont University Hospital, Corewell Health East, Royal Oak, MI, USA.

Lili Zhao (L)

Division of Biostatistics, Department of Preventive Medicine, Northwestern University, Chicago, IL, USA. lili.zhao@northwestern.edu.

Classifications MeSH