Evidence map›Paper›PMID 35486806›Full record

ArticleJMIR public health and surveillance2022

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

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

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  16. Resident Factors Associated With Breakthrough SARS-CoV-2 Infections.Journal of the American Medical Directors Association · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Cong LiuDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0001-6024-3037
Junghwan LeeDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0002-1240-7655
Casey TaDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0002-4679-805X
Ali SoroushDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0001-6900-5596
James R RogersDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0001-7329-3535
Jae Hyun KimSchool of Pharmacy, Jeonbuk National University, Jeonju, Republic of Korea.ORCID 0000-0002-8609-7135
Karthik NatarajanDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0002-9066-9431
Jason ZuckerDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0001-6987-6412
Yehoshua PerlDepartment of Computer Science, New Jersey Institute of Technology, Newark, NJ, United States.ORCID 0000-0003-1940-9386
Chunhua WengDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, United States.ORCID 0000-0002-9624-0214
Columbia University Irving Medical Center · USJeonbuk National University · KRNew Jersey Institute of Technology · US

Funding

Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Columbia Collaborative HIV/AIDS Clinical Trials UnitU01AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HAMMER, SCOTT M · 2007 to 2011
$15.4M
Deep phenotyping in Electronic Health Records for Genomic MedicineR01LM012895 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WANG, KAI, WENG, CHUNHUA · 2018 to 2021
$3.3M
Harnessing Bioinformatics for HIV Prevention: Understanding Persistence in Comprehensive HIV Prevention ServicesK23AI150378 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZUCKER, JASON · 2020 to 2024
$960k
NCEZID CDC HHS U01 CK000592NIAID NIH HHS K23 AI150378NIAID NIH HHS L30 AI133789NIAID NIH HHS U01 AI069470NIAID NIH HHS UM1 AI069470NLM NIH HHS R01 LM012895
6 · The paper itself

Abstract

backgroundCOVID-19 messenger RNA (mRNA) vaccines have demonstrated efficacy and effectiveness in preventing symptomatic COVID-19, while being relatively safe in trial studies. However, vaccine breakthrough infections have been reported.

objectiveThis study aims to identify risk factors associated with COVID-19 breakthrough infections among fully mRNA-vaccinated individuals.

methodsWe conducted a series of observational retrospective analyses using the electronic health records (EHRs) of the Columbia University Irving Medical Center/New York Presbyterian (CUIMC/NYP) up to September 21, 2021. New York City (NYC) adult residences with at least 1 polymerase chain reaction (PCR) record were included in this analysis. Poisson regression was performed to assess the association between the 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 in the EHR.

resultsThe overall estimated breakthrough infection rate was 0.16 (95% CI 0.14-0.18). Individuals who were vaccinated with Pfizer/BNT162b2 (incidence rate ratio [IRR] against Moderna/mRNA-1273=1.66, 95% CI 1.17-2.35) were male (IRR against female=1.47, 95% CI 1.11-1.94) and had compromised immune systems (IRR=1.48, 95% CI 1.09-2.00) were at the highest risk for breakthrough infections. Among all underlying conditions, those with primary immunodeficiency, a history of organ transplant, an active tumor, use of immunosuppressant medications, or Alzheimer disease were at the highest risk.

conclusionsAlthough we found both mRNA vaccines were effective, Moderna/mRNA-1273 had a lower incidence rate of breakthrough infections. Immunocompromised and male individuals were among the highest risk groups experiencing breakthrough infections. Given the rapidly changing nature of the SARS-CoV-2 pandemic, continued monitoring and a generalizable analysis pipeline are warranted to inform quick updates on vaccine effectiveness in real time.

Indexed as

2019-nCoV Vaccine mRNA-1273BNT162 VaccineCOVID-19AdultBreakthrough InfectionsFemaleHumansMaleNew York CityRetrospective StudiesRisk Factors2019-nCoV Vaccine mRNA-1273BNT162 VaccineCOVID-19electronic health recordsmedical informaticsreal-word evidencevaccination

Identifiers

PMID35486806
PMCPMC9132195
OpenAlexW4225247799

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.