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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989592:15310/24:73627551

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30303 - Infectious Diseases

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

INT J INFECT DIS

ISSN

1201-9712

e-ISSN

1878-3511

Svazek periodika

—

Číslo periodika v rámci svazku

May 2024

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

6

Strana od-do

—

Kód UT WoS článku

001224649700001

EID výsledku v databázi Scopus

2-s2.0-85188557163