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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Dec 2, 2021
Date Accepted: Apr 27, 2022
Date Submitted to PubMed: Apr 29, 2022

The final, peer-reviewed published version of this preprint can be found here:

Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis

Liu C, Lee J, Ta C, Soroush A, Rogers J, Kim JH, Natarajan K, Zucker J, Perl Y, Weng C

Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis

JMIR Public Health Surveill 2022;8(5):e35311

DOI: 10.2196/35311

PMID: 35486806

PMCID: 9132195

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

  • Cong Liu; 
  • Junghwan Lee; 
  • Casey Ta; 
  • Ali Soroush; 
  • James Rogers; 
  • Jae Hyun Kim; 
  • Karthik Natarajan; 
  • Jason Zucker; 
  • Yehoshua Perl; 
  • Chunhua Weng

ABSTRACT

Background:

COVID-19 vaccines have demonstrated efficacy in preventing symptomatic COVID-19 while being relatively safe in trial studies. However, vaccine breakthrough infections have been reported.

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.

Methods:

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. 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]).

Conclusions:

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.


 Citation

Please cite as:

Liu C, Lee J, Ta C, Soroush A, Rogers J, Kim JH, Natarajan K, Zucker J, Perl Y, Weng C

Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis

JMIR Public Health Surveill 2022;8(5):e35311

DOI: 10.2196/35311

PMID: 35486806

PMCID: 9132195

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