Evidence map›Paper›PMID 41742212›Full record

ArticleRespiratory research2026

Lung ultrasound predicts surfactant need in neonates on different respiratory support: an international diagnostic accuracy study.

Francesco Raimondi, Almudena Alonso Ojembarrena, Irene Gutierrez Rosa, Fabio Meneghin, Rebeca Gregorio Hernandez, Javier Rodriguez Fanjul, Chiara Colinet, Fiorella Migliaro, Marco Fossati, Luca Bonadies and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2026. 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

20 authors.

Francesco RaimondiDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Via Pansini 5, Naples, 80131, Italy. raimondi@unina.it.
Almudena Alonso OjembarrenaNeonatal Intensive Care Unit, Puerta del Mar University, Cádiz, Spain.
Irene Gutierrez RosaNeonatal Intensive Care Unit, Puerta del Mar University, Cádiz, Spain.
Fabio MeneghinNeonatal Intensive Care Unit, Buzzi Children's Hospital, Milan, Italy.
Rebeca Gregorio HernandezNeonatology Division, Instituto de Investigación Sanitaria Hospital General Universitario Gregorio Marañón, Complutense University of Madrid, Madrid, Spain.
Javier Rodriguez FanjulNeonatal Intensive Care Unit, Department of Paediatrics, Hospital Germans Trias Pujol, Autonomous University of Barcelona, Badalona, Spain.
Chiara ColinetDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Via Pansini 5, Naples, 80131, Italy.
Fiorella MigliaroDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Via Pansini 5, Naples, 80131, Italy.
Marco FossatiASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Luca BonadiesWomen's and Children's Health Department, University of Padova, Padova, Italy.
Stefano NobileFondazione Policlinico Universitario A Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico, Università Cattolica del Sacro Cuore, Rome, Italy.
Giovanni VentoFondazione Policlinico Universitario A Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico, Università Cattolica del Sacro Cuore, Rome, Italy.
Eugenio BaraldiWomen's and Children's Health Department, University of Padova, Padova, Italy.
Stefano MartinelliASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Gianluca ListaNeonatal Intensive Care Unit, Buzzi Children's Hospital, Milan, Italy.
Manuel Sanchez LunaNeonatology Division, Instituto de Investigación Sanitaria Hospital General Universitario Gregorio Marañón, Complutense University of Madrid, Madrid, Spain.
Mario MeliandeDivision of Neonatology, Department of Translational Medical Sciences, Università Federico II di Napoli, Via Pansini 5, Naples, 80131, Italy.
Pasquale DolceDepartment of Translational Medical Sciences, Università Federico II Di Napoli, Naples, Italy.
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, Via Pansini 5, Naples, 80131, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn early lung ultrasound score (eaLUS) predicts surfactant administration in neonates of any gestational age with respiratory distress syndrome stabilized on CPAP. Whether this is also true for more unwell infants, non invasively and invasively ventilated, is not known.

aimTo assess whether an eaLUS may predict surfactant replacement in infants on different respiratory support modes (CPAP, nasal ventilation and mechanical ventilation). We also investigated eaLUS as a potential marker of unfavorable respiratory outcomes.

methodsProspective, international, multicenter diagnostic study conducted from March 2024 to March 2025 in seven, level III Italian and Spanish neonatal intensive care units. Participants: neonates of any gestational age presenting with respiratory distress, enrolled within 2 h of birth and before the administration of surfactant. Intervention: eaLUS calculated within the first 2 h of life masked to attending physician evaluating both the type of respiratory support and the need for surfactant administration. Main outcome: prognostic accuracy of eaLUS to predict surfactant administration overall and in three subgroups based on early respiratory stabilization strategy (CPAP, NIV and MV). As secondary outcomes we investigated the accuracy of oxygen inspiratory fraction (FiO2) > 0.3 by mode of respiratory support to predict surfactant need. Additionally, logistic regression analysis was used to investigate the link between eaLUS with prolonged mechanical ventilation and death or BPD as secondary outcomes.

resultsWe enrolled 229 infants stabilized on CPAP (n = 117), nasal ventilation (n = 58) and mechanical ventilation (n = 54). eaLUS had good prognostic accuracy in the total population (AUC, 0.86; 95% CI, 0.81–0.91). Despite the wide gap of mean airway pressure (MAP) across the population, eaLUS and MAP were only moderately correlated (rho = 0.39; p < 0.001). Optimal thresholds for surfactant replacement were slightly different (LUS ≥ 8 for CPAP; LUS ≥ 9 for nasal ventilation; LUS ≥ 10 for mechanical ventilation). FiO2 > 0.3 was a less accurate predictor of surfactant replacement. eaLUS was significantly associated to prolonged mechanical ventilation beyond both 72 and 168 h. Finally, eaLUS emerged as an independent predictor of BPD or death.

conclusionsAn early LUS accurately predicts surfactant replacement in neonates non invasively and invasively ventilated and it is a noninvasive imaging prognostic marker of disease severity and adverse respiratory outcomes in this population.

trial registrationISRCTN Registry (number ISRCTN10205806).

Indexed as

InternationalityLungPulmonary SurfactantsRespiration, ArtificialRespiratory Distress Syndrome, NewbornContinuous Positive Airway PressureFemaleHumansInfant, NewbornItalyMalePredictive Value of TestsProspective StudiesUltrasonographyPulmonary SurfactantsLung ultrasoundMean airway pressureNeonateRespiratory distressRespiratory supportSurfactant

Identifiers

PMID41742212
PMCPMC13020012

What OpenQuestion holds

Textmetadata
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.