Evidence map›Paper›PMID 35220142›Full record

ArticleThe American journal of emergency medicine2022

Should COVID-19 symptoms be used to cohort patients in the emergency department? A retrospective analysis.

Polly E Bijur, Benjamin W Friedman, Sarah W Baron, Abhiram Ramasahayam, Rebecca Nerenberg, Shellyann Sharpe, D Yitzchak Goldstein, David Esses

Open access · greenAbstract read
In one paragraph

Article in The American journal of emergency medicine, 2022. 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
0.2field-weighted citation impact, top 55% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 4 institutions in 2 countries.

Polly E BijurAlbert Einstein College of Medicine, Department of Emergency Medicine, Rose F. Kennedy Center, 1410 Pelham Parkway South, Bronx, NY 10461, USA. Electronic address: polly.bijur@einsteinmed.edu.
Benjamin W FriedmanMontefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: befriedm@montefiore.org.
Sarah W BaronMontefiore Medical Center, Department of Medicine, Division of Hospital Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: sarbaron@montefiore.org.
Abhiram RamasahayamMontefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: aramasahay@montefiore.org.
Rebecca NerenbergMontefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: rnerenbe@montefiore.org.
Shellyann SharpeJacobi Medical Center, 1400 Pelham Parkway South, Bronx, NY 10461, USA. Electronic address: shellyann.sharpe@nychhc.org.
D Yitzchak GoldsteinMontefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: dogoldst@montefiore.org.
David EssesMontefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: desses@montefiore.org.
Montefiore Medical Center · USAlbert Einstein College of Medicine · USJacobi Medical Center · USMontefiore Hospital · GB

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
NCATS NIH HHS UL1 TR002556
6 · The paper itself

Abstract

objectiveTo determine how cohorting patients based on presenting complaints affects risk of nosocomial infection in crowded Emergency Departments (EDs) under conditions of high and low prevalence of COVID-19.

methodsThis was a retrospective analysis of presenting complaints and PCR tests collected during the COVID-19 epidemic from 4 EDs from a large hospital system in Bronx County, NY, from May 1, 2020 to April 30, 2021. Sensitivity, specificity, positive and negative predictive value (PPV, NPV) were calculated for a symptom screen based on the CDC list of COVID-19 symptoms: fever/chills, shortness of breath/dyspnea, cough, muscle or body ache, fatigue, headache, loss of taste or smell, sore throat, nasal congestion/runny nose, nausea, vomiting, and diarrhea. PPV was calculated for varying values of prevalence.

resultsThere were 80,078 visits with PCR tests. The sensitivity of the symptom screen was 64.7% (95% CI: 63.6, 65.8), specificity 65.4% (65.1, 65.8). PPV was 16.8% (16.5, 17.0) and NPV was 94.5% (94.4, 94.7) when the observed prevalence of COVID-19 in the ED over the year was 9.7%. The PPV of fever/chills, cough, body and muscle aches and nasal congestion/runny nose were each approximately 25% across the year, while diarrhea, nausea, vomiting and headache were less predictive, (PPV 4.7%-9.6%) The combinations of fever/chills, cough, muscle/body aches, and shortness of breath had PPVs of 40-50%. The PPV of the screen varied from 3.7% (3.6, 3.8) at 2% prevalence of COVID-19 to 44.3% (44.0, 44.7) at 30% prevalence.

conclusionThe proportion of patients with a chief complaint of COVID-19 symptoms and confirmed COVID-19 infection was exceeded by the proportion without actual infection. This was true when prevalence in the ED was as high as 30%. Cohorting of patients based on the CDC's list of COVID-19 symptoms will expose many patients who do not have COVID-19 to risk of nosocomially acquired COVID-19. EDs should not use the CDC list of COVID-19 symptoms as the only strategy to minimize exposure.

Indexed as

COVID-19CoughEmergency Service, HospitalHumansRetrospective StudiesSARS-CoV-2COVID-19 testingEmergency service, hospitalPredictive value of testsSensitivity and specificity

Identifiers

PMID35220142
PMCPMC8818126
OpenAlexW4210611054

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.