Effectiveness of a fourth SARS-CoV-2 vaccine dose in previously infected individuals from Austria.

COVID-19 SARS-CoV-2 booster mortality national vaccine

Journal

European journal of clinical investigation
ISSN: 1365-2362
Titre abrégé: Eur J Clin Invest
Pays: England
ID NLM: 0245331

Informations de publication

Date de publication:
30 Nov 2023
Historique:
revised: 14 11 2023
received: 23 10 2023
accepted: 15 11 2023
pubmed: 30 11 2023
medline: 30 11 2023
entrez: 30 11 2023
Statut: aheadofprint

Résumé

Evidence is limited on the effectiveness of a fourth vaccine dose against coronavirus disease 2019 (COVID-19) in populations with prior severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. We estimated the risk of COVID-19 deaths and SARS-CoV-2 infections according to vaccination status in previously infected individuals in Austria. This is a nationwide retrospective observational study. We calculated age and gender adjusted Cox proportional hazard ratios (HRs) of COVID-19 deaths (primary outcome) and SARS-CoV-2 infections (secondary outcome) from 1 November to 31 December 2022, primarily comparing individuals with four versus three vaccine doses. Relative vaccine effectiveness (rVE) was calculated as (1-HR) X 100. Among 3,986,312 previously infected individuals, 281,291 (7,1%) had four and 1,545,242 (38.8%) had three vaccinations at baseline. We recorded 69 COVID-19 deaths and 89,056 SARS-CoV-2 infections. rVE for four versus three vaccine doses was -24% (95% CI: -120 to 30) against COVID-19 deaths, and 17% (95% CI: 14-19) against SARS-CoV-2 infections. This latter effect rapidly diminished over time and infection risk with four vaccinations was higher compared to less vaccinated individuals during extended follow-up until June 2023. Adjusted HR (95% CI) for all-cause mortality for four versus three vaccinations was 0.79 (0.74-0.85). In previously infected individuals, a fourth vaccination was not associated with COVID-19 death risk, but with transiently reduced risk of SARS-CoV-2 infections and reversal of this effect in longer follow-up. All-cause mortality data suggest healthy vaccinee bias.

Identifiants

pubmed: 38032853
doi: 10.1111/eci.14136
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14136

Subventions

Organisme : Austrian Science Fund
ID : KLI 1188

Informations de copyright

© 2023 The Authors. European Journal of Clinical Investigation published by John Wiley & Sons Ltd on behalf of Stichting European Society for Clinical Investigation Journal Foundation.

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Auteurs

Alena Chalupka (A)

Institute for Surveillance & Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria.

Lukas Richter (L)

Institute for Surveillance & Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria.
Institute of Statistics, Graz University of Technology, Graz, Austria.

Ali Chakeri (A)

Institute for Surveillance & Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria.
Center for Public Health, Medical University Vienna, Vienna, Austria.

Ziad El-Khatib (Z)

Institute for Surveillance & Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria.

Verena Theiler-Schwetz (V)

Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria.

Christian Trummer (C)

Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria.

Robert Krause (R)

Department of Internal Medicine, Division of Infectious Diseases, Medical University of Graz, Graz, Austria.

Peter Willeit (P)

Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria.
Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Ignaz Semmelweis Institute, Interuniversity Institute for Infection Research, Vienna, Austria.

Bernhard Benka (B)

Institute for Surveillance & Infectious Disease Epidemiology, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria.

John P A Ioannidis (JPA)

Departments of Medicine, Epidemiology and Population Health, Biomedical Data Science, and Statistics and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA.

Stefan Pilz (S)

Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria.

Classifications MeSH