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Does the healthy vaccinee bias rule them all? Association of COVID-19 vaccination status and all-cause mortality from an analysis of data from 2.2 million individual health records

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17110%2F24%3AA2503AKB" target="_blank" >RIV/61988987:17110/24:A2503AKB - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15310/24:73627551

  • Result on the web

    <a href="https://linkinghub.elsevier.com/retrieve/pii/S1201971224000468" target="_blank" >https://linkinghub.elsevier.com/retrieve/pii/S1201971224000468</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ijid.2024.02.019" target="_blank" >10.1016/j.ijid.2024.02.019</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Does the healthy vaccinee bias rule them all? Association of COVID-19 vaccination status and all-cause mortality from an analysis of data from 2.2 million individual health records

  • Original language description

    Objectives: We investigated the validity of claims of the healthy vaccinee effect (HVE) in COVID-vaccine studies by analyzing associations between all -cause mortality (ACM) and COVID-19 vaccination status. Methods: Approximately 2.2 million individual records from two Czech health insurance companies were retrospectively analyzed. Each age group was stratified according to the vaccination status (unvaccinated vs. individuals less than 4 weeks vs. more than 4 weeks from Doses 1, 2, 3, and 4 or more doses of vaccine). ACMs in these groups were computed and compared. Results: Consistently over datasets and age categories, ACM was substantially lower in the vaccinated than unvaccinated groups regardless of the presence or absence of a wave of COVID-19 deaths. Moreover, the ACMs in groups more than 4 weeks from Doses 1, 2, or 3 were consistently several times higher than in those less than 4 weeks from the respective dose. HVE appears to be the only plausible explanation for this, which is further corroborated by a created mathematical model. Conclusions: In view of the presence of HVE, the baseline difference in the frailty of vaccinated and unvaccinated populations in periods without COVID-19 must be taken into account when estimating COVID19 vaccine effectiveness from observational data. (c) 2024 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30303 - Infectious Diseases

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    INT J INFECT DIS

  • ISSN

    1201-9712

  • e-ISSN

    1878-3511

  • Volume of the periodical

  • Issue of the periodical within the volume

    May 2024

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    6

  • Pages from-to

  • UT code for WoS article

    001224649700001

  • EID of the result in the Scopus database

    2-s2.0-85188557163