Evidence map›Paper›PMID 38829891›Full record

Observational studyPloS one2024

Lung ultrasound is associated with distinct clinical phenotypes in COVID-19 ARDS: A retrospective observational study.

Roy Rafael Dayan, Maayan Blau, Jonathan Taylor, Ariel Hasidim, Ori Galante, Yaniv Almog, Tomer Gat, Darya Shavialiova, Jacob David Miller, Georgi Khazanov and 4 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 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. Article
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

14 authors.

Roy Rafael DayanFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.ORCID 0000-0001-8987-3673
Maayan BlauFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Jonathan TaylorIntensive Care Unit, Soroka University Medical Center, Beersheba, Israel.
Ariel HasidimFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.ORCID 0000-0003-1785-0952
Ori GalanteFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Yaniv AlmogFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Tomer GatFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Darya ShavialiovaFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Jacob David MillerFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Georgi KhazanovFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Fahmi Abu GhalionFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Iftach SagyFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Itamar Ben ShitritFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Lior FuchsFaculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundARDS is a heterogeneous syndrome with distinct clinical phenotypes. Here we investigate whether the presence or absence of large pulmonary ultrasonographic consolidations can categorize COVID-19 ARDS patients requiring mechanical ventilation into distinct clinical phenotypes.

methodsThis is a retrospective study performed in a tertiary-level intensive care unit in Israel between April and September 2020. Data collected included lung ultrasound (LUS) findings, respiratory parameters, and treatment interventions. The primary outcome was a composite of three ARDS interventions: prone positioning, high PEEP, or a high dose of inhaled nitric oxide.

resultsA total of 128 LUS scans were conducted among 23 patients. The mean age was 65 and about two-thirds were males. 81 scans identified large consolidation and were classified as "C-type", and 47 scans showed multiple B-lines with no or small consolidation and were classified as "B-type". The presence of a "C-type" study had 2.5 times increased chance of receiving the composite primary outcome of advanced ARDS interventions despite similar SOFA scores, Pao2/FiO2 ratio, and markers of disease severity (OR = 2.49, %95CI 1.40-4.44).

conclusionThe presence of a "C-type" profile with LUS consolidation potentially represents a distinct COVID-19 ARDS subphenotype that is more likely to require aggressive ARDS interventions. Further studies are required to validate this phenotype in a larger cohort and determine causality, diagnostic, and treatment responses.

Indexed as

COVID-19LungPhenotypeRespiratory Distress SyndromeUltrasonographyAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedRespiration, ArtificialRetrospective StudiesSARS-CoV-2

Identifiers

PMID38829891
PMCPMC11146726

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Registered trials

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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.