Evidence map›Paper›PMID 34877361›Full record

ArticleOpen forum infectious diseases2021

Predictive Value of an Age-Based Modification of the National Early Warning System in Hospitalized Patients With COVID-19.

Ryan C Maves, Stephanie A Richard, David A Lindholm, Nusrat Epsi, Derek T Larson, Christian Conlon, Kyle Everson, Steffen Lis, Paul W Blair, Sharon Chi and 7 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

17 authors.

Ryan C MavesInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-6234-6160
Stephanie A RichardInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
David A LindholmBrooke Army Medical Center, Joint Base San Antonio, Fort Sam Houston, Texas, USA.
Nusrat EpsiInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Derek T LarsonFort Belvoir Community Hospital, Fort Belvoir, Virginia, USA.
Christian ConlonMadigan Army Medical Center, Joint Base Lewis-McChord, Washington, USA.
Kyle EversonMadigan Army Medical Center, Joint Base Lewis-McChord, Washington, USA.
Steffen LisMadigan Army Medical Center, Joint Base Lewis-McChord, Washington, USA.
Paul W BlairAustere Environments Consortium for Enhanced Sepsis Outcomes, Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.
Sharon ChiInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Anuradha GanesanInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Simon PollettInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Timothy H BurgessInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Brian K AganInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-5114-1669
Rhonda E ColomboInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Christopher J ColomboDepartment of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
EPICC COVID-19 Cohort Study Group

Funding

NIAID NIH HHS Y01 AI005072
6 · The paper itself

Abstract

backgroundEarly recognition of high-risk patients with coronavirus disease 2019 (COVID-19) may improve outcomes. Although many predictive scoring systems exist, their complexity may limit utility in COVID-19. We assessed the prognostic performance of the National Early Warning Score (NEWS) and an age-based modification (NEWS+age) among hospitalized COVID-19 patients enrolled in a prospective, multicenter US Military Health System (MHS) observational cohort study.

methodsHospitalized adults with confirmed COVID-19 not requiring invasive mechanical ventilation at admission and with a baseline NEWS were included. We analyzed each scoring system's ability to predict key clinical outcomes, including progression to invasive ventilation or death, stratified by baseline severity (low [0-3], medium [4-6], and high [≥7]).

resultsAmong 184 included participants, those with low baseline NEWS had significantly shorter hospitalizations (

conclusionsNEWS and NEWS+age showed similar test characteristics in an MHS COVID-19 cohort. Notably, low baseline scores had an excellent negative predictive value. Given their easy applicability, these scoring systems may be useful in resource-limited settings to identify COVID-19 patients who are unlikely to progress to critical illness.

Indexed as

COVID-19early warning scoreprognosis

Identifiers

PMID34877361
PMCPMC8643671

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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.