Cargando…
Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study
BACKGROUND: In May 2020, the ACCESS (The vACCine covid-19 monitoring readinESS) project was launched to prepare real-world monitoring of COVID-19 vaccines. Within this project, this study aimed to generate background incidence rates of 41 adverse events of special interest (AESI) to contextualize po...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678835/ https://www.ncbi.nlm.nih.gov/pubmed/36446653 http://dx.doi.org/10.1016/j.vaccine.2022.11.031 |
_version_ | 1784834075662483456 |
---|---|
author | Willame, C Dodd, C Durán, CE Elbers, RJHJ Gini, R Bartolini, C Paoletti, O Wang, L Ehrenstein, V Kahlert, J Haug, U Schink, T Diez-Domingo, J Mira-Iglesias, A Carreras, JJ Vergara-Hernández, C Giaquinto, C Barbieri, E Stona, L Huerta, C Martín-Pérez, M García-Poza, P de Burgos, A Martínez-González, M Bryant, V Villalobos, F Pallejà-Millán, M Aragón, M Carreras, JJ Souverein, P Thurin, NH Weibel, D Klungel, OH Sturkenboom, MCJM |
author_facet | Willame, C Dodd, C Durán, CE Elbers, RJHJ Gini, R Bartolini, C Paoletti, O Wang, L Ehrenstein, V Kahlert, J Haug, U Schink, T Diez-Domingo, J Mira-Iglesias, A Carreras, JJ Vergara-Hernández, C Giaquinto, C Barbieri, E Stona, L Huerta, C Martín-Pérez, M García-Poza, P de Burgos, A Martínez-González, M Bryant, V Villalobos, F Pallejà-Millán, M Aragón, M Carreras, JJ Souverein, P Thurin, NH Weibel, D Klungel, OH Sturkenboom, MCJM |
author_sort | Willame, C |
collection | PubMed |
description | BACKGROUND: In May 2020, the ACCESS (The vACCine covid-19 monitoring readinESS) project was launched to prepare real-world monitoring of COVID-19 vaccines. Within this project, this study aimed to generate background incidence rates of 41 adverse events of special interest (AESI) to contextualize potential safety signals detected following administration of COVID-19 vaccines. METHODS: A dynamic cohort study was conducted using a distributed data network of 10 healthcare databases from 7 European countries (Italy, Spain, Denmark, The Netherlands, Germany, France and United Kingdom) over the period 2017 to 2020. A common protocol (EUPAS37273), common data model, and common analytics programs were applied for syntactic, semantic and analytical harmonization. Incidence rates (IR) for each AESI and each database were calculated by age and sex by dividing the number of incident cases by the total person-time at risk. Age-standardized rates were pooled using random effect models according to the provenance of the events. FINDINGS: A total number of 63,456,074 individuals were included in the study, contributing to 211.7 million person-years. A clear age pattern was observed for most AESIs, rates also varied by provenance of disease diagnosis (primary care, specialist care). Thrombosis with thrombocytopenia rates were extremely low ranging from 0.06 to 4.53/100,000 person-years for cerebral venous sinus thrombosis (CVST) with thrombocytopenia (TP) and mixed venous and arterial thrombosis with TP, respectively. INTERPRETATION: Given the nature of the AESIs and the setting (general practitioners or hospital-based databases or both), background rates from databases that show the highest level of completeness (primary care and specialist care) should be preferred, others can be used for sensitivity. The study was designed to ensure representativeness to the European population and generalizability of the background incidence rates. FUNDING: The project has received support from the European Medicines Agency under the Framework service contract nr EMA/2018/28/PE. |
format | Online Article Text |
id | pubmed-9678835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96788352022-11-22 Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study Willame, C Dodd, C Durán, CE Elbers, RJHJ Gini, R Bartolini, C Paoletti, O Wang, L Ehrenstein, V Kahlert, J Haug, U Schink, T Diez-Domingo, J Mira-Iglesias, A Carreras, JJ Vergara-Hernández, C Giaquinto, C Barbieri, E Stona, L Huerta, C Martín-Pérez, M García-Poza, P de Burgos, A Martínez-González, M Bryant, V Villalobos, F Pallejà-Millán, M Aragón, M Carreras, JJ Souverein, P Thurin, NH Weibel, D Klungel, OH Sturkenboom, MCJM Vaccine Article BACKGROUND: In May 2020, the ACCESS (The vACCine covid-19 monitoring readinESS) project was launched to prepare real-world monitoring of COVID-19 vaccines. Within this project, this study aimed to generate background incidence rates of 41 adverse events of special interest (AESI) to contextualize potential safety signals detected following administration of COVID-19 vaccines. METHODS: A dynamic cohort study was conducted using a distributed data network of 10 healthcare databases from 7 European countries (Italy, Spain, Denmark, The Netherlands, Germany, France and United Kingdom) over the period 2017 to 2020. A common protocol (EUPAS37273), common data model, and common analytics programs were applied for syntactic, semantic and analytical harmonization. Incidence rates (IR) for each AESI and each database were calculated by age and sex by dividing the number of incident cases by the total person-time at risk. Age-standardized rates were pooled using random effect models according to the provenance of the events. FINDINGS: A total number of 63,456,074 individuals were included in the study, contributing to 211.7 million person-years. A clear age pattern was observed for most AESIs, rates also varied by provenance of disease diagnosis (primary care, specialist care). Thrombosis with thrombocytopenia rates were extremely low ranging from 0.06 to 4.53/100,000 person-years for cerebral venous sinus thrombosis (CVST) with thrombocytopenia (TP) and mixed venous and arterial thrombosis with TP, respectively. INTERPRETATION: Given the nature of the AESIs and the setting (general practitioners or hospital-based databases or both), background rates from databases that show the highest level of completeness (primary care and specialist care) should be preferred, others can be used for sensitivity. The study was designed to ensure representativeness to the European population and generalizability of the background incidence rates. FUNDING: The project has received support from the European Medicines Agency under the Framework service contract nr EMA/2018/28/PE. The Author(s). Published by Elsevier Ltd. 2023-01-04 2022-11-22 /pmc/articles/PMC9678835/ /pubmed/36446653 http://dx.doi.org/10.1016/j.vaccine.2022.11.031 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Willame, C Dodd, C Durán, CE Elbers, RJHJ Gini, R Bartolini, C Paoletti, O Wang, L Ehrenstein, V Kahlert, J Haug, U Schink, T Diez-Domingo, J Mira-Iglesias, A Carreras, JJ Vergara-Hernández, C Giaquinto, C Barbieri, E Stona, L Huerta, C Martín-Pérez, M García-Poza, P de Burgos, A Martínez-González, M Bryant, V Villalobos, F Pallejà-Millán, M Aragón, M Carreras, JJ Souverein, P Thurin, NH Weibel, D Klungel, OH Sturkenboom, MCJM Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study |
title | Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study |
title_full | Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study |
title_fullStr | Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study |
title_full_unstemmed | Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study |
title_short | Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study |
title_sort | background rates of 41 adverse events of special interest for covid-19 vaccines in 10 european healthcare databases - an access cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678835/ https://www.ncbi.nlm.nih.gov/pubmed/36446653 http://dx.doi.org/10.1016/j.vaccine.2022.11.031 |
work_keys_str_mv | AT willamec backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT doddc backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT durance backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT elbersrjhj backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT ginir backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT bartolinic backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT paolettio backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT wangl backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT ehrensteinv backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT kahlertj backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT haugu backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT schinkt backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT diezdomingoj backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT miraiglesiasa backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT carrerasjj backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT vergarahernandezc backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT giaquintoc backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT barbierie backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT stonal backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT huertac backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT martinperezm backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT garciapozap backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT deburgosa backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT martinezgonzalezm backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT bryantv backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT villalobosf backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT pallejamillanm backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT aragonm backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT carrerasjj backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT souvereinp backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT thurinnh backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT weibeld backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT klungeloh backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy AT sturkenboommcjm backgroundratesof41adverseeventsofspecialinterestforcovid19vaccinesin10europeanhealthcaredatabasesanaccesscohortstudy |