Increased emergency cardiovascular events among under-40 population in Israel during vaccine rollout and third COVID-19 wave
Name
s41598-022-10928-z.pdf
Description
Published version
Size
2.69 MB
Format
Adobe PDF
Checksum (MD5)
b55be79605b04c9f64b768034869720b
Author(s)
Sun, Christopher LF
Jaffe, Eli
Levi, Retsef
Date Issued
December 2022
Journal
Scientific Reports
Publisher
Springer Science and Business Media LLC
Citation
Sun, Christopher LF, Jaffe, Eli and Levi, Retsef. 2022. "Increased emergency cardiovascular events among under-40 population in Israel during vaccine rollout and third COVID-19 wave." Scientific Reports, 12 (1).
Version
Final published version
Abstract
AbstractCardiovascular adverse conditions are caused by coronavirus disease 2019 (COVID-19) infections and reported as side-effects of the COVID-19 vaccines. Enriching current vaccine safety surveillance systems with additional data sources may improve the understanding of COVID-19 vaccine safety. Using a unique dataset from Israel National Emergency Medical Services (EMS) from 2019 to 2021, the study aims to evaluate the association between the volume of cardiac arrest and acute coronary syndrome EMS calls in the 16–39-year-old population with potential factors including COVID-19 infection and vaccination rates. An increase of over 25% was detected in both call types during January–May 2021, compared with the years 2019–2020. Using Negative Binomial regression models, the weekly emergency call counts were significantly associated with the rates of 1st and 2nd vaccine doses administered to this age group but were not with COVID-19 infection rates. While not establishing causal relationships, the findings raise concerns regarding vaccine-induced undetected severe cardiovascular side-effects and underscore the already established causal relationship between vaccines and myocarditis, a frequent cause of unexpected cardiac arrest in young individuals. Surveillance of potential vaccine side-effects and COVID-19 outcomes should incorporate EMS and other health data to identify public health trends (e.g., increased in EMS calls), and promptly investigate potential underlying causes.
MIT Department
Sloan School of Management
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/s41598-022-10928-z
