Evidence map›Paper›PMID 34671778›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Differentiation of SARS-CoV-2 naturally infected and vaccinated individuals in an inner-city emergency department.

Evan J Beck, Yu-Hsiang Hsieh, Reinaldo E Fernandez, Gaby Dashler, Emily R Egbert, Shawn A Truelove, Caroline Garliss, Richard Wang, Evan M Bloch, Ruchee Shrestha and 10 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Evan J BeckDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
Yu-Hsiang HsiehDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Reinaldo E FernandezDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Gaby DashlerDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Emily R EgbertDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Shawn A TrueloveDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Caroline GarlissDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Richard WangDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Evan M BlochDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Ruchee ShresthaDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Joel BlanksonDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Andrea L CoxDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Yukari C ManabeDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Thomas KicklerDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Richard E RothmanDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Andrew D ReddDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
Aaron Ar TobianDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Aaron M MilstoneDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Thomas C QuinnDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
Oliver LaeyendeckerDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.

Funding

LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Unlocking the Potential of HIV-Infected Deceased Donors for Organ TransplantationR01AI120938 · NIAID · JOHNS HOPKINS UNIVERSITY · PI TOBIAN, AARON A · 2016 to 2021
$4.3M
Penile Microbiome, Inflammation and HIV Susceptibility During Sexual Debut and Maturation Among Male AdolescentsR01AI128779 · NIAID · JOHNS HOPKINS UNIVERSITY · PI TOBIAN, AARON A · 2017 to 2020
$2.1M
The Malaria Transfusion Risk (MATRix) StudyK23HL151826 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BLOCH, EVAN MARTIN · 2020 to 2024
$882k
Cost-Effectiveness of ED HIV Testing Program Agent-Based Modeling ApproachK01AI100681 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HSIEH, YU-HSIANG · 2012 to 2015
$532k
NHLBI NIH HHS K23 HL151826NIAID NIH HHS HHSN272201400007CNIAID NIH HHS K01 AI100681NIAID NIH HHS R01 AI120938NIAID NIH HHS R01 AI128779NIAID NIH HHS UM1 AI068613
6 · The paper itself

Abstract

backgroundEmergency Departments (EDs) can serve as surveillance sites for infectious diseases. Our purpose was to determine the burden of SARS-CoV-2 infection and prevalence of vaccination against COVID-19 among patients attending an urban ED in Baltimore City.

methodsUsing 1914 samples of known exposure status, we developed an algorithm to differentiate previously infected, vaccinated, and unexposed individuals using a combination of antibody assays. We applied this testing algorithm to 4360 samples ED patients obtained in the springs of 2020 and 2021. Using multinomial logistic regression, we determined factors associated with infection and vaccination.

resultsFor the algorithm, sensitivity and specificity for identifying vaccinated individuals was 100% and 99%, respectively, and 84% and 100% for naturally infected individuals. Among the ED subjects, seroprevalence to SARS-CoV-2 increased from 2% to 24% between April 2020 and March 2021. Vaccination prevalence rose to 11% by mid-March 2021. Marked differences in burden of disease and vaccination coverage were seen by sex, race, and ethnicity. Hispanic patients, though 7% of the study population, had the highest relative burden of disease (17% of total infections) but similar vaccination rates. Women and White individuals were more likely to be vaccinated than men or Black individuals (adjusted odds ratios [aOR] 1.35 [95% CI: 1.02, 1.80] and aOR 2.26 [95% CI: 1.67, 3.07], respectively).

conclusionsIndividuals previously infected with SARS-CoV-2 can be differentiated from vaccinated individuals using a serologic testing algorithm. SARS-CoV-2 exposure and vaccination uptake frequencies reflect gender, race and ethnic health disparities in this urban context. SUMMARY: Using an antibody testing algorithm, we distinguished between immune responses from SARS-CoV-2-infected and vaccinated individuals. When applied to blood samples from an emergency department in Baltimore, disparities in disease burden and vaccine uptake by sex, race, and ethnicity were identified.

Identifiers

PMID34671778
PMCPMC8528087

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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.