Evidence map›Paper›PMID 40671421›Full record

Observational studyPediatric pulmonology2025

A Simplified, Regional Lung Ultrasound Score for Surfactant Administration in Neonatal RDS: A Prospective Observational Study.

Francesco Raimondi, Pasquale Dolce, Claudio Veropalumbo, Enrico Sierchio, Iuri Corsini, Fabio Meneghin, Silvia Lama, Roberto Raschetti, Silvia Varano, Alessandro Perri and 18 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Pediatric pulmonology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

28 authors.

Francesco RaimondiDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Naples, Italy.ORCID https://orcid.org/0000-0003-3250-1582
Pasquale DolceDepartment of Translational Medical Sciences, Università Federico II di Napoli, Naples, Italy.
Claudio VeropalumboDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Naples, Italy.
Enrico SierchioCasa di Cura Pineta Grande, Castelvolturno, Italy.
Iuri CorsiniDivision of Neonatology, Careggi University Hospital of Florence, Florence, Italy.ORCID https://orcid.org/0000-0002-3146-1446
Fabio MeneghinNeonatal Intensive Care Unit, Buzzi Children's Hospital, Milan, Italy.
Silvia LamaDepartment of Clinical Sciences and Community Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Cà Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Roberto RaschettiDepartment of Clinical Sciences and Community Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Cà Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Silvia VaranoNeonatal Intensive Care Unit, Università Politecnica delle Marche, Ancona, Italy.
Alessandro PerriFondazione Policlinico Universitario A Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico, Università Cattolica del Sacro Cuore, Rome, Italy.
Luca BonadiesWomen's and Children's Health Department, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0001-7700-3056
Almudena Alonso OjembarrenaNeonatal Intensive Care Unit, Puerta del Mar University, Cádiz, Spain.ORCID https://orcid.org/0000-0002-2413-9758
Javier Rodriguez FanjulNeonatal Intensive Care Unit, Department of Paediatrics, Hospital Germans Triasi Pujol, Autonomous University of Barcelona, Badalona, Spain.
Rebeca Gregorio HernandezNeonatal Intensive Care Unit, Department of Paediatrics, Hospital Germans Triasi Pujol, Autonomous University of Barcelona, Badalona, Spain.ORCID https://orcid.org/0000-0002-7484-0593
Lorena Rodeño FernandezNeonatal Intensive Care Unit, Basurto University Hospital, Bilbao, Spain.
Fiorella MigliaroDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Naples, Italy.
Serena SalomèDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Naples, Italy.ORCID https://orcid.org/0000-0001-6014-9374
Luca PierriDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Naples, Italy.
Carlo DaniDivision of Neonatology, Careggi University Hospital of Florence, Florence, Italy.ORCID https://orcid.org/0000-0002-1639-621X
Gianluca ListaNeonatal Intensive Care Unit, Buzzi Children's Hospital, Milan, Italy.
Fabio MoscaDepartment of Clinical Sciences and Community Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Cà Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Virgilio CarnielliNeonatal Intensive Care Unit, Università Politecnica delle Marche, Ancona, Italy.ORCID https://orcid.org/0000-0002-7218-9418
Eugenio BaraldiWomen's and Children's Health Department, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-1829-3652
Giovanni VentoFondazione Policlinico Universitario A Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico, Università Cattolica del Sacro Cuore, Rome, Italy.
Lucio GiordanoCasa di Cura Pineta Grande, Castelvolturno, Italy.
Manuel Sanchez LunaNeonatology Division, Instituto de Investigación Sanitaria Hospital General Universitario, Gregorio Marañón, Complutense University of Madrid, Madrid, Spain.
Peter G DavisThe Royal Women's Hospital, University of Melbourne, Melbourne, Victoria, Australia.
Letizia CapassoDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Naples, Italy.ORCID https://orcid.org/0000-0002-0373-9201

Funding

This study was supported by an unconditional grant from Chiesi Italia, Parma, Italy.
6 · The paper itself

Abstract

backgroundA total lung ultrasound score (tLUS) is a validated tool to describe parenchymal aeration, evaluate neonatal respiratory distress syndrome (RDS) progression and guide early surfactant replacement. tLUS derives from regional scores (rLUS) from predefined ultrasound views. RESEARCH QUESTION: This paper explores the relative contribution of rLUS to tLUS and their predictive power of surfactant need for RDS, individually and with additional variables. STUDY DESIGN AND

methodsThis was a secondary analysis of multicenter, prospective, observational study. Preterm neonates with RDS were stabilized on nCPAP. Within 2 h of life, we calculated a tLUS (range 0-18) by summing 6 rLUS (using a 0-3 scale on midclavicular, anterior and posterior axillary line views) and the oxygen saturation/inspired oxygen fraction ratio (SatO

resultsWe enrolled 175 preterm infants. A midclavicular (MC) score ≥ 2 was an early marker of aeration heterogeneity. Prognostic accuracy for surfactant need was high for the left MC score (AUC: 0.86 with sensitivity 0.79 and specificity 0.90) and the right MC score (AUC 0.87 with sensitivity 0.74 and specificity 0.93; optimal Youden cut-off = 2). A combined left + right MC score lead to an AUC: 0.90 (sensitivity 0.82. specificity 0.89; optimal Youden cut-off = 3). A prediction model including gestational age, SatO

interpretationrLUS are not always uniformly distributed in early RDS. The combined MC score is a simplified rapid and accurate predictor of surfactant replacement (alone or in combination with noninvasive variables) reducing stressful manipulations in first hours of life for preterm neonates.

Indexed as

LungPulmonary SurfactantsRespiratory Distress Syndrome, NewbornFemaleHumansInfant, NewbornInfant, PrematureMalePredictive Value of TestsProspective StudiesUltrasonographyPulmonary Surfactantslung ultrasound scoreneonateRDSsurfactant

Identifiers

PMID40671421
PMCPMC12268238

What OpenQuestion holds

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LicenceCC BY
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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.