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Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease—Empirical Evidence from a Large Population-Based Italian Platform

We aimed to identify individual features associated with increased risk of post-vaccine SARS-CoV-2 infection and severe COVID-19 illness. We performed a nested case–control study based on 5,350,295 citizens from Lombardy, Italy, aged ≥ 12 years who received a complete anti-COVID-19 vaccination from...

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Autores principales: Corrao, Giovanni, Franchi, Matteo, Cereda, Danilo, Bortolan, Francesco, Leoni, Olivia, Borriello, Catia Rosanna, Della Valle, Petra Giulia, Tirani, Marcello, Pavesi, Giovanni, Barone, Antonio, Ercolanoni, Michele, Jara, Jose, Galli, Massimo, Bertolaso, Guido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230065/
https://www.ncbi.nlm.nih.gov/pubmed/35746453
http://dx.doi.org/10.3390/vaccines10060845
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author Corrao, Giovanni
Franchi, Matteo
Cereda, Danilo
Bortolan, Francesco
Leoni, Olivia
Borriello, Catia Rosanna
Della Valle, Petra Giulia
Tirani, Marcello
Pavesi, Giovanni
Barone, Antonio
Ercolanoni, Michele
Jara, Jose
Galli, Massimo
Bertolaso, Guido
author_facet Corrao, Giovanni
Franchi, Matteo
Cereda, Danilo
Bortolan, Francesco
Leoni, Olivia
Borriello, Catia Rosanna
Della Valle, Petra Giulia
Tirani, Marcello
Pavesi, Giovanni
Barone, Antonio
Ercolanoni, Michele
Jara, Jose
Galli, Massimo
Bertolaso, Guido
author_sort Corrao, Giovanni
collection PubMed
description We aimed to identify individual features associated with increased risk of post-vaccine SARS-CoV-2 infection and severe COVID-19 illness. We performed a nested case–control study based on 5,350,295 citizens from Lombardy, Italy, aged ≥ 12 years who received a complete anti-COVID-19 vaccination from 17 January 2021 to 31 July 2021, and followed from 14 days after vaccine completion to 11 November 2021. Overall, 17,996 infections and 3023 severe illness cases occurred. For each case, controls were 1:1 (infection cases) or 1:10 (severe illness cases) matched for municipality of residence and date of vaccination completion. The association between selected predictors (sex, age, previous occurrence of SARS-CoV-2 infection, type of vaccine received, number of previous contacts with the Regional Health Service (RHS), and the presence of 59 diseases) and outcomes was assessed by using multivariable conditional logistic regression models. Sex, age, previous SARS-CoV-2 infection, type of vaccine and number of contacts with the RHS were associated with the risk of infection and severe illness. Moreover, higher odds of infection and severe illness were significantly associated with 14 and 34 diseases, respectively, among those investigated. These results can be helpful to clinicians and policy makers for prioritizing interventions.
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spelling pubmed-92300652022-06-25 Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease—Empirical Evidence from a Large Population-Based Italian Platform Corrao, Giovanni Franchi, Matteo Cereda, Danilo Bortolan, Francesco Leoni, Olivia Borriello, Catia Rosanna Della Valle, Petra Giulia Tirani, Marcello Pavesi, Giovanni Barone, Antonio Ercolanoni, Michele Jara, Jose Galli, Massimo Bertolaso, Guido Vaccines (Basel) Article We aimed to identify individual features associated with increased risk of post-vaccine SARS-CoV-2 infection and severe COVID-19 illness. We performed a nested case–control study based on 5,350,295 citizens from Lombardy, Italy, aged ≥ 12 years who received a complete anti-COVID-19 vaccination from 17 January 2021 to 31 July 2021, and followed from 14 days after vaccine completion to 11 November 2021. Overall, 17,996 infections and 3023 severe illness cases occurred. For each case, controls were 1:1 (infection cases) or 1:10 (severe illness cases) matched for municipality of residence and date of vaccination completion. The association between selected predictors (sex, age, previous occurrence of SARS-CoV-2 infection, type of vaccine received, number of previous contacts with the Regional Health Service (RHS), and the presence of 59 diseases) and outcomes was assessed by using multivariable conditional logistic regression models. Sex, age, previous SARS-CoV-2 infection, type of vaccine and number of contacts with the RHS were associated with the risk of infection and severe illness. Moreover, higher odds of infection and severe illness were significantly associated with 14 and 34 diseases, respectively, among those investigated. These results can be helpful to clinicians and policy makers for prioritizing interventions. MDPI 2022-05-26 /pmc/articles/PMC9230065/ /pubmed/35746453 http://dx.doi.org/10.3390/vaccines10060845 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Corrao, Giovanni
Franchi, Matteo
Cereda, Danilo
Bortolan, Francesco
Leoni, Olivia
Borriello, Catia Rosanna
Della Valle, Petra Giulia
Tirani, Marcello
Pavesi, Giovanni
Barone, Antonio
Ercolanoni, Michele
Jara, Jose
Galli, Massimo
Bertolaso, Guido
Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease—Empirical Evidence from a Large Population-Based Italian Platform
title Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease—Empirical Evidence from a Large Population-Based Italian Platform
title_full Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease—Empirical Evidence from a Large Population-Based Italian Platform
title_fullStr Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease—Empirical Evidence from a Large Population-Based Italian Platform
title_full_unstemmed Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease—Empirical Evidence from a Large Population-Based Italian Platform
title_short Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease—Empirical Evidence from a Large Population-Based Italian Platform
title_sort vulnerability predictors of post-vaccine sars-cov-2 infection and disease—empirical evidence from a large population-based italian platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230065/
https://www.ncbi.nlm.nih.gov/pubmed/35746453
http://dx.doi.org/10.3390/vaccines10060845
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