Evidence map›Paper›PMID 39073767›Full record

ArticleThe Journal of infectious diseases2024

Validation of Lung Ultrasound for Coronavirus Disease 2019 Prognostication in an International Multicenter Cohort Study.

Paul W Blair, Trishul Siddharthan, Phabiola M Herrera, Erjia Cui, Peter Waitt, Shakir Hossen, Tiffany C Fong, Lalaine Anova, Hector Erazo, Cristin Mount and 6 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Advances in bedside imaging: lung ultrasound.Intensive care medicine experimental · 2025
    Review
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

16 authors.

Paul W BlairDivision of Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-3817-5987
Trishul SiddharthanDivision of Pulmonary, Critical Care and Sleep Medicine, University of Miami, Miami, Florida.
Phabiola M HerreraDivision of Pulmonary, Critical Care and Sleep Medicine, University of Miami, Miami, Florida.
Erjia CuiDivision of Biostatistics and Health Data Science, University of Minnesota, Minneapolis.
Peter WaittGlobal Health Security Programme, Infectious Diseases Institute, Makerere University, Kampala, Uganda.
Shakir HossenDivision of Pulmonary, Critical Care and Sleep Medicine, University of Miami, Miami, Florida.
Tiffany C FongDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore.
Lalaine AnovaAustere environments Consortium for Enhanced Sepsis Outcomes, Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland.
Hector ErazoDivision of Infectious Diseases, Walter Reed National Military Medical Center, Bethesda, Maryland.
Cristin MountMadigan Army Medical Center, Joint Base Lewis-McChord, Washington.
Kristen PettroneAustere environments Consortium for Enhanced Sepsis Outcomes, Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland.
Richard E RothmanDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore.
Simon D PollettHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland.
Ciprian CrainiceanuDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Danielle V ClarkAustere environments Consortium for Enhanced Sepsis Outcomes, Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland.
Rapid Assessment of Infection with SONography (RAISON) Research Group and the Epidemiology, Immunology, and Clinical Characteristics of Emerging Infectious Diseases with Pandemic Potential (EPICC) Research Group

Funding

Defense Health Agency RESPONSE awardJohns Hopkins University School of Medicine COVID-19 Research FundJoint Program Executive Office W911QY20-9-0004
6 · The paper itself

Abstract

backgroundDespite many studies evaluating lung ultrasound (LUS) for coronavirus disease 2019 (COVID-19) prognostication, the generalizability and utility across clinical settings are uncertain.

methodsAdults (≥18 years of age) with COVID-19 were enrolled at 2 military hospitals, an emergency department, home visits, and a homeless shelter in the United States, and in a referral hospital in Uganda. Participants had a 12-zone LUS scan performed at time of enrollment and clips were read off-site. The primary outcome was progression to higher level of care after the ultrasound scan. We calculated the cross-validated area under the curve for the validation cohort for individual LUS features.

resultsWe enrolled 191 participants with COVID-19 (57.9% female; median age, 45.0 years [interquartile range, 31.5-58.0 years]). Nine participants clinically deteriorated. The top predictors of worsening disease in the validation cohort measured by cross-validated area under the curve were B-lines (0.88 [95% confidence interval {CI}, .87-.90]), discrete B-lines (0.87 [95% CI, .85-.88]), oxygen saturation (0.82 [95%, CI, .81-.84]), and A-lines (0.80 [95% CI, .78-.81]).

conclusionsIn an international multisite point-of-care ultrasound cohort, LUS parameters had high discriminative accuracy. Ultrasound can be applied toward triage across a wide breadth of care settings during a pandemic.

Indexed as

COVID-19LungSARS-CoV-2UltrasonographyAdultCohort StudiesFemaleHumansMaleMiddle AgedPrognosisUgandaUnited StatesCOVID-19diagnostic imagingSARS-CoV-2triageultrasonography

Identifiers

PMID39073767
PMCPMC11565857

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.