Evidence map›Paper›PMID 34015609›Full record

ArticleThe American journal of emergency medicine2021

Demographic and clinical correlates of acute and convalescent SARS-CoV-2 infection among patients of a U.S. emergency department.

Oliver Laeyendecker, Yu-Hsiang Hsieh, Richard E Rothman, Gaby Dashler, Thomas Kickler, Reinaldo E Fernandez, William Clarke, Eshan U Patel, Aaron A R Tobian, Gabor D Kelen and 2 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Oliver LaeyendeckerDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD, United States of America; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America. Electronic address: olaeyen1@jhmi.edu.
Yu-Hsiang HsiehDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Richard E RothmanDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Gaby DashlerDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Thomas KicklerDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Reinaldo E FernandezDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
William ClarkeDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Eshan U PatelDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Aaron A R TobianDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Gabor D KelenDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Thomas C QuinnDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD, United States of America; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Johns Hopkins COVID-19 EM Investigators
Johns Hopkins Medicine · USJohns Hopkins University · USNational Institutes of Health · USNational Institute of Allergy and Infectious Diseases · US

Funding

Epidemiologic and Immunologic Investigations of SARS-CoV-2 (COVID-19) InfectionsZIAAI001286 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI QUINN, THOMAS · 2020 to 2023
$349k
6 · The paper itself

Abstract

backgroundEmergency Departments (EDs) have served as critical surveillance sites for infectious diseases. We sought to determine the prevalence and temporal trends of acute (by PCR) and convalescent (by antibody [Ab]) SARS-CoV-2 infection during the earliest phase of the pandemic among patients in an urban ED in Baltimore City.

methodsWe tested remnant blood samples from 3255 unique ED patients, collected between March 16th and May 31st 2020 for SARS-CoV-2 Ab. PCR for acute SARS-CoV-2 infection from nasopharyngeal swabs was obtained on any patients based on clinical suspicion. Hospital records were abstracted and factors associated with SARS-CoV-2 infection were assessed.

resultsOf 3255 ED patients, 8.2% (95%CI: 7.3%, 9.2%) individuals had evidence of SARS-CoV-2 infection; 155 PCR+, 78 Ab+, and 35 who were both PCR+ and Ab+. Prevalence of disease increased throughout the study period, ranging from 3.2% (95%CI: 1.8%, 5.2%) PCR+ and 0.6% (95%CI: 0.1%, 1.8%) Ab+ in March, to 6.2% (95%CI: 5.1%, 7.4%) PCR+ and 4.2% (95%CI: 3.3%, 5.3%) Ab+ in May. The highest SARS-CoV-2 prevalence was found in Hispanic individuals who made up 8.4% (95%CI: 7.4%, 9.4%) of individuals screened, but 35% (95%CI: 29%, 41%) of infections (PCR and/or Ab+). Demographic and clinical factors independently associated with acute infection included Hispanic ethnicity, loss of smell or taste, subjective fever, cough, muscle ache and fever. Factors independently associated with convalescent infection were Hispanic ethnicity and low oxygen saturation.

conclusionsThe burden of COVID-19 in Baltimore City increased dramatically over the 11-week study period and was disproportionately higher among Hispanic individuals. ED-based surveillance methods are important for identifying both acute and convalescent SARS-CoV-2 infections and provides important information regarding demographic and clinical correlates of disease in the local community.

Indexed as

COVID-19 Nucleic Acid TestingCOVID-19 Serological TestingEmergency Service, HospitalAcute DiseaseAdolescentAdultAgedBlack or African AmericanConvalescenceCOVID-19FemaleHispanic or LatinoHumansHypoxiaMaleMiddle AgedClinical correlatesDemographic correlatesEmergency departmentPrevalence of SARS-CoV-2 antibodySARS-CoV-2 infectionSurveillance

Identifiers

PMID34015609
PMCPMC8086378
OpenAlexW3158638018

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.