Evidence map›Paper›PMID 32860069›Full record

ArticleIntensive care medicine2020

Lung ultrasound predicts clinical course and outcomes in COVID-19 patients.

Yael Lichter, Yan Topilsky, Philippe Taieb, Ariel Banai, Aviram Hochstadt, Ilan Merdler, Amir Gal Oz, Jacob Vine, Or Goren, Barak Cohen and 11 more

Erratum issued 2 registry-linked trialsAbstract read
In one paragraph

Article in Intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 152 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 6 pooled it
–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.

NCT04660448 completednot on this map

Lung Ultrasound Score and Pediatric Intensive Care Outcomes: a Prospective Observational Multicenter Study

Typeobservational_patient_registrySponsorFundación para la Investigación Biosanitaria del Principado de AsturiasRan2020 to 2021Enrolled650ConditionsLung Injury, Extravascular Lung Water, Pulmonary Edema, Acute Respiratory Distress SyndromeArmsBedside lung ultrasound examination
NCT04823234 completednot on this mapstarted 2021, after this paper: background citation

Lung Ultrasound Signs and Patterns in COVID-19 Pregnant Women - "The PINK-CO Protocol"

TypeobservationalSponsorAzienda Sanitaria-Universitaria Integrata di UdineRan2021 to 2021Enrolled40ConditionsPregnancy Complications, Covid19ArmsLung ultrasound
3 · Its place in the literature

Who cites it

152 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Lung Ultrasound Score in COVID-19 Patients Correlates with POThe western journal of emergency medicine · 2024
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  5. Association of Lung Ultrasound Score with Mortality and Severity of COVID-19: A Meta-Analysis and Trial Sequential Analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
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  19. Predictors of B-line count in hospitalized patients with COVID-19.Frontiers in cardiovascular medicine · 2025
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92 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Yael Lichter *Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yan Topilsky *Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Philippe TaiebTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Ariel BanaiTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Aviram HochstadtTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Ilan MerdlerTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Amir Gal OzTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Jacob VineTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Or GorenTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Barak CohenTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Orly SapirTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yoav GranotTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Tomer MannTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Shirley FriedmanTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yoel AngelTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Nimrod AdiTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Michal Laufer-PerlTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Merav IngbirTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yaron ArbelTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Idit MatotTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yishay SzekelyTel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel. yishays@tlvmc.gov.il.ORCID http://orcid.org/0000-0003-1398-3563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeInformation regarding the use of lung ultrasound (LUS) in patients with Coronavirus disease 2019 (COVID-19) is quickly accumulating, but its use for risk stratification and outcome prediction has yet to be described. We performed the first systematic and comprehensive LUS evaluation of consecutive patients hospitalized with COVID-19 infection, in order to describe LUS findings and their association with clinical course and outcome.

methodsBetween 21/03/2020 and 04/05/2020, 120 consecutive patients admitted to the Tel Aviv Medical Center due to COVID-19, underwent complete LUS within 24 h of admission. A second exam was performed in case of clinical deterioration. LUS score of 0 (best)-36 (worst) was assigned to each patient. LUS findings were compared with clinical data.

resultsThe median baseline total LUS score was 15, IQR [7-20]. Baseline LUS score was 0-18 in 80 (67%) patients, and 19-36 in 40 (33%) patients. The majority had patchy pleural thickening (n = 100; 83%), or patchy subpleural consolidations (n = 93; 78%) in at least one zone. The prevalence of pleural thickening, subpleural consolidations and the total LUS score were all correlated with severity of illness on admission. Clinical deterioration was associated with increased follow-up LUS scores (p = 0.0009), mostly due to loss of aeration in anterior lung segments. The optimal cutoff point for LUS score was 18 (sensitivity = 62%, specificity = 74%). Both mortality and need for invasive mechanical ventilation were increased with baseline LUS score > 18 compared to baseline LUS score 0-18. Unadjusted hazard ratio of death for LUS score was 1.08 per point [1.02-1.16], p = 0.008; Unadjusted hazard ratio of the composite endpoint (death or need for invasive mechanical ventilation) for LUS score was 1.12 per point [1.05-1.2], p = 0.0008.

conclusionHospitalized patients with COVID-19, at all clinical grades, present with pathological LUS findings. Baseline LUS score strongly correlates with the eventual need for invasive mechanical ventilation and is a strong predictor of mortality. Routine use of LUS may guide patients' management strategies, as well as resource allocation in case of surge capacity.

Indexed as

HospitalizationRespiration, ArtificialAdultAgedAged, 80 and overBetacoronavirusCoronavirusCoronavirus InfectionsCOVID-19FemaleHospitalsHumansIsraelLungMaleMiddle AgedAcute respiratory distress syndromeClinical outcomesCOVID-19Lung ultrasoundRisk stratification

Identifiers

PMID32860069
PMCPMC7454549

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.