Evidence map›Paper›PMID 37591926›Full record

ArticlePediatric research2024

Lung ultrasound detects regional aeration inhomogeneity in ventilated preterm lambs.

Laura L H He, Gillian Foo, Kelly R Kenna, Ellen Douglas, Monique Fatmous, Rebecca J Sutton, Elizabeth J Perkins, Magdy Sourial, Prue M Pereira-Fantini, David G Tingay and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Pediatric research, 2024. 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
1.9field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Observational
  3. Observational
  4. 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

11 authors at 3 institutions in 1 country.

Laura L H HeNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia. laurah2@student.unimelb.edu.au.
Gillian FooJoan Kirner Women's and Children's Hospital, Western Health, Victoria, VIC, Australia.
Kelly R KennaNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia.
Ellen DouglasNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia.
Monique FatmousNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia.
Rebecca J SuttonNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia.
Elizabeth J PerkinsNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia.
Magdy SourialTranslational Research Unit, Murdoch Children's Research Institute, Victoria, VIC, Australia.
Prue M Pereira-FantiniNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia.
David G TingayNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia.
Arun SettNeonatal Research, Murdoch Children's Research Institute, Victoria, VIC, Australia.
Murdoch Children's Research Institute · AUUniversity of Melbourne · AUWestern Health · AU

Funding

Australasian Society of Ultrasound in MedicineCentre of Research Excellence in Newborn Medicine, MelbourneNational Health and Medical Research Council (NHMRC) 1182676Victorian GovernmentVictorian Government Operational Infrastructure Support Program (Melbourne, Australia)
6 · The paper itself

Abstract

backgroundInhomogeneous lung aeration is a significant contributor to preterm lung injury. EIT detects inhomogeneous aeration in the research setting. Whether LUS detects inhomogeneous aeration is unknown. The aim was to determine whether LUS detects regional inhomogeneity identified by EIT in preterm lambs.

methodsLUS and EIT were simultaneously performed on mechanically ventilated preterm lambs. LUS images from non-dependent and dependent regions were acquired and reported using a validated scoring system and computer-assisted quantitative LUS greyscale analysis (Q-LUS

resultsLUS was performed in 32 lambs (~125d gestation, 128 images). LUS scores were greater in upper anterior (non-dependent) compared to lower lateral (dependent) regions of the left (3.4 vs 2.9, p = 0.1) and right (3.4 vs 2.7, p < 0.0087). The left and right upper regions also had greater LUS scores compared to right lower (3.4 vs 2.7, p < 0.0087) and left lower (3.7 vs 2.9, p = 0.1). Q-LUS

conclusionLUS may have potential in measuring regional aeration, which should be further explored in human studies. IMPACT: Inhomogeneous lung aeration is an important contributor to preterm lung injury, however, tools detecting inhomogeneous aeration at the bedside are limited. Currently, the only tool clinically available to detect this is electrical impedance tomography (EIT), however, its use is largely limited to research. Lung ultrasound (LUS) may play a role in monitoring lung aeration in preterm infants, however, whether it detects inhomogeneous lung aeration is unknown. Visual LUS scores and mean greyscale image analysis using computer assisted quantitative LUS (Q-LUS

Indexed as

Lung InjuryAnimalsElectric ImpedanceHumansInfant, NewbornInfant, PrematureLungSheepSheep, Domestic

Identifiers

PMID37591926
PMCPMC10798896
OpenAlexW4385951113

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.