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A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors and Vaccine Effectiveness

IMPORTANCE: Little is known about COVID vaccine breakthrough infections and their risk factors. OBJECTIVE: To identify risk factors associated with COVID-19 breakthrough infections among vaccinated individuals and to reassess the effectiveness of COVID-19 vaccination against severe outcomes using re...

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Autores principales: Liu, Cong, Lee, Junghwan, Ta, Casey, Soroush, Ali, Rogers, James R., Kim, Jae Hyun, Natarajan, Karthik, Zucker, Jason, Weng, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509087/
https://www.ncbi.nlm.nih.gov/pubmed/34642696
http://dx.doi.org/10.1101/2021.10.05.21264583
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author Liu, Cong
Lee, Junghwan
Ta, Casey
Soroush, Ali
Rogers, James R.
Kim, Jae Hyun
Natarajan, Karthik
Zucker, Jason
Weng, Chunhua
author_facet Liu, Cong
Lee, Junghwan
Ta, Casey
Soroush, Ali
Rogers, James R.
Kim, Jae Hyun
Natarajan, Karthik
Zucker, Jason
Weng, Chunhua
author_sort Liu, Cong
collection PubMed
description IMPORTANCE: Little is known about COVID vaccine breakthrough infections and their risk factors. OBJECTIVE: To identify risk factors associated with COVID-19 breakthrough infections among vaccinated individuals and to reassess the effectiveness of COVID-19 vaccination against severe outcomes using real-world data. DESIGN, SETTING, AND PARTICIPANTS: We conducted a series of observational retrospective analyses using the electronic health records (EHRs) of Columbia University Irving Medical Center/New York Presbyterian (CUIMC/NYP) up to September 21, 2021. New York adult residence with PCR test records were included in this analysis. MAIN OUTCOMES AND MEASURES: Poisson regression was used to assess the association between breakthrough infection rate in vaccinated individuals and multiple risk factors – including vaccine brand, demographics, and underlying conditions – while adjusting for calendar month, prior number of visits and observational days. Logistic regression was used to assess the association between vaccine administration and infection rate by comparing a vaccinated cohort to a historically matched cohort in the pre-vaccinated period. Infection incident rate was also compared between vaccinated individuals and longitudinally matched unvaccinated individuals. Cox regression was used to estimate the association of the vaccine and COVID-19 associated severe outcomes by comparing breakthrough cohort and two matched unvaccinated infection cohorts. RESULTS: Individuals vaccinated with Pfizer/BNT162b2 (IRR against Moderna/mRNA-1273 [95% CI]: 1.66 [1.17 – 2.35]); were male (1.47 [1.11 – 1.94%]); and had compromised immune systems (1.48 [1.09 – 2.00]) were at the highest risk for breakthrough infections. Vaccinated individuals had a significant lower infection rate among all subgroups. An increased incidence rate was found in both vaccines over the time. Among individuals infected with COVID-19, vaccination significantly reduced the risk of death (adj. HR: 0.20 [0.08 – 0.49]). CONCLUSION AND RELEVANCE: While we found both mRNA vaccines were effective, Moderna/mRNA-1273 had a lower incidence rate of breakthrough infections. Both vaccines had increased incidence rates over the time. Immunocompromised individuals were among the highest risk groups experiencing breakthrough infections. Given the rapidly changing nature of the SARS-CoV-2, continued monitoring and a generalizable analysis pipeline are warranted to inform quick updates on vaccine effectiveness in real time.
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spelling pubmed-85090872021-10-13 A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors and Vaccine Effectiveness Liu, Cong Lee, Junghwan Ta, Casey Soroush, Ali Rogers, James R. Kim, Jae Hyun Natarajan, Karthik Zucker, Jason Weng, Chunhua medRxiv Article IMPORTANCE: Little is known about COVID vaccine breakthrough infections and their risk factors. OBJECTIVE: To identify risk factors associated with COVID-19 breakthrough infections among vaccinated individuals and to reassess the effectiveness of COVID-19 vaccination against severe outcomes using real-world data. DESIGN, SETTING, AND PARTICIPANTS: We conducted a series of observational retrospective analyses using the electronic health records (EHRs) of Columbia University Irving Medical Center/New York Presbyterian (CUIMC/NYP) up to September 21, 2021. New York adult residence with PCR test records were included in this analysis. MAIN OUTCOMES AND MEASURES: Poisson regression was used to assess the association between breakthrough infection rate in vaccinated individuals and multiple risk factors – including vaccine brand, demographics, and underlying conditions – while adjusting for calendar month, prior number of visits and observational days. Logistic regression was used to assess the association between vaccine administration and infection rate by comparing a vaccinated cohort to a historically matched cohort in the pre-vaccinated period. Infection incident rate was also compared between vaccinated individuals and longitudinally matched unvaccinated individuals. Cox regression was used to estimate the association of the vaccine and COVID-19 associated severe outcomes by comparing breakthrough cohort and two matched unvaccinated infection cohorts. RESULTS: Individuals vaccinated with Pfizer/BNT162b2 (IRR against Moderna/mRNA-1273 [95% CI]: 1.66 [1.17 – 2.35]); were male (1.47 [1.11 – 1.94%]); and had compromised immune systems (1.48 [1.09 – 2.00]) were at the highest risk for breakthrough infections. Vaccinated individuals had a significant lower infection rate among all subgroups. An increased incidence rate was found in both vaccines over the time. Among individuals infected with COVID-19, vaccination significantly reduced the risk of death (adj. HR: 0.20 [0.08 – 0.49]). CONCLUSION AND RELEVANCE: While we found both mRNA vaccines were effective, Moderna/mRNA-1273 had a lower incidence rate of breakthrough infections. Both vaccines had increased incidence rates over the time. Immunocompromised individuals were among the highest risk groups experiencing breakthrough infections. Given the rapidly changing nature of the SARS-CoV-2, continued monitoring and a generalizable analysis pipeline are warranted to inform quick updates on vaccine effectiveness in real time. Cold Spring Harbor Laboratory 2021-10-07 /pmc/articles/PMC8509087/ /pubmed/34642696 http://dx.doi.org/10.1101/2021.10.05.21264583 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Liu, Cong
Lee, Junghwan
Ta, Casey
Soroush, Ali
Rogers, James R.
Kim, Jae Hyun
Natarajan, Karthik
Zucker, Jason
Weng, Chunhua
A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors and Vaccine Effectiveness
title A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors and Vaccine Effectiveness
title_full A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors and Vaccine Effectiveness
title_fullStr A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors and Vaccine Effectiveness
title_full_unstemmed A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors and Vaccine Effectiveness
title_short A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors and Vaccine Effectiveness
title_sort retrospective analysis of covid-19 mrna vaccine breakthrough infections – risk factors and vaccine effectiveness
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509087/
https://www.ncbi.nlm.nih.gov/pubmed/34642696
http://dx.doi.org/10.1101/2021.10.05.21264583
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