Underlying health biases in previously-infected SARS-CoV-2 vaccination recipients: A cohort study
Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: Observational studies may over- or under-estimate SARS-CoV-2 vaccine effectiveness (VE) depending on whether healthier (i.e. healthy vaccine effect (HVE)) or more ill individuals are preferentially vaccinated. To evaluate this issue, we compared non-COVID-19 mortality in vaccinated versus unvaccinated individuals. METHODS: This is a nationwide retrospective observational study in the entire adult population in Austria with previously documented SARS-CoV-2 infection, with a follow-up from 2021 to 2023. Cox regression analyses were used to calculate hazard ratios (HRs) according to the number of SARS-CoV-2 vaccinations. We also performed matched analyses, where on each day, newly vaccinated individuals were matched with unvaccinated individuals based on age, sex and nursing home residency. RESULTS: In 4,324,485 eligible individuals, differences in non-COVID-19 mortality risk between vaccinated and unvaccinated were most prominent in the early periods and decreased thereafter. Matched analyses for the first two weeks after vaccination showed HRs below 0.5 for vaccinated versus unvaccinated individuals, irrespective of vaccination numbers. Similar findings were retrieved for non-COVID-19, all-cause, and cancer deaths. Overall, COVID-19 deaths were significantly reduced in vaccinated individuals (VE of 26 to 53%). CONCLUSIONS: HVE for SARS-CoV-2 vaccines was strong early after vaccination and diminished over time. HVE should be considered when estimating VE.
Source: Journal of Infection
Institutions: Medical University of Graz, Austrian Agency for Health and Food Safety, Graz University of Technology, University of Graz, Innsbruck Medical University, Universität Innsbruck, University of Cambridge, University of Southern Denmark, University of California, San Francisco, Massachusetts Institute of Technology, Stanford University
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,030
Funder: Austrian Science Fund
OpenAlex ID: W4410016942
