Evidence map›Paper›PMID 41423518›Full record

ArticleIntensive care medicine experimental2025

Personalized mechanical ventilation guided by lung ultrasound in patients with ARDS: a pilot phase of a randomized clinical trial.

Jante S Sinnige, Marry R Smit, Mohammad J Alam, Mohammed N H Chowdhury, Vasco Costa, Heloísa S M B de Castro, Dominik Daszuta, Daan F L Filippini, Aniruddha Ghose, Harm-Jan de Grooth and 27 more

Registry-linked trialAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05492344 (Personalized Mechanical Ventilation Guided by UltraSound in Patients With Acute Respiratory Distress Syndrome), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT05492344 narecruitingnot on this map

Personalized Mechanical Ventilation Guided by UltraSound in Patients With Acute Respiratory Distress Syndrome

TypeinterventionalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2022 to 2027Enrolled538ConditionsARDS, Human, Lung Ultrasound, Mechanical VentilationArmsPersonalized ventilation, Standard care
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Advances in bedside imaging: lung ultrasound.Intensive care medicine experimental · 2025
    Review
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

37 authors.

Jante S SinnigeDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. J.s.sinnige@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-8906-0071
Marry R SmitDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Mohammad J AlamDepartment of Critical Care Medicine & Emergency, Apollo Imperial Hospitals, Chattogram, Bangladesh.
Mohammed N H ChowdhuryDepartment of Intensive Care, Marine City Medical College Hospital, Chattogram, Bangladesh.
Vasco CostaDepartment of Intensive Care, Hospital de São Francisco Xavier, CHLO, Lisbon, Portugal.
Heloísa S M B de CastroDepartment of Intensive Care, Centro Hospitalar Universitário de Santo António, Porto, Portugal.
Dominik DaszutaDepartment of Anaesthesiology and Intensive Care, National Institute of Medicine of the Ministry of Interior and Administration, Warsaw, Poland.
Daan F L FilippiniDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Aniruddha GhoseDepartment of Medicine, Chattogram Medical Centre, Chattogram, Bangladesh.
Harm-Jan de GroothIntensive Care Center, UMC Utrecht, Utrecht, The Netherlands.
Lars HeinDepartment of Anaesthesia and Intensive Care, Copenhagen University Hospital-North Zealand, Copenhagen, Denmark.
Greet HermansMedical Intensive Care Unit, University Hospitals Leuven, Louvain, Belgium.
Thomas HildebrandtDepartment of Intensive Care, Zealand University Hospital, Roskilde, Denmark.
Theis Skovsgaard ItenovDepartment of Anesthesiology and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Eleni IschakiFirst Department of Intensive Care Medicine, University of Athens Medical School, Athens, Greece.
Peter KlompmakerDepartment of Intensive Care, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
John LaffeyAnaesthesia and Intensive Care Medicine, Galway University Hospitals and School of Medicine, University of Galway, Galway, Ireland.
Aisling McMahonDepartment of Critical Care Medicine, Mater Misericordiae University Hospital, Dublin, Ireland.
Bairbre McNicholasAnaesthesia and Intensive Care Medicine, Galway University Hospitals and School of Medicine, University of Galway, Galway, Ireland.
Amne MousaDepartment of Intensive Care, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Frederique PaulusDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Ulf Gøttrup PedersenDepartment of Anaesthesia and Intensive Care Unit, Zealand University Hospital, Køge, Denmark.
Mariangela PellegriniDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Marco PezzutoDepartment of Intensive Care, Ospedale Generale Regionale F. Miulli, Acquaviva Delle Fonti, Bari, Italy.
Pedro PóvoaDepartment of Intensive Care, Hospital de São Francisco Xavier, CHLO, Lisbon, Portugal.
Charalampos PierrakosDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Luigi PisaniDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Oriol RocaServei de Medicina Intensiva, Hospital Universitario de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain.
Marcus J SchultzDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Savino SpadaroAnesthesiology and Intensive Care, Department of Translational Medicine, Faculty of Medicine and Surgery, University of Ferrara, Ferrara, Italy.
Konstanty SzuldrzynskiDepartment of Anaesthesiology and Intensive Care, National Institute of Medicine of the Ministry of Interior and Administration, Warsaw, Poland.
Evangelia TheodorouFirst Department of Intensive Care Medicine, University of Athens Medical School, Athens, Greece.
Pieter R TuinmanDepartment of Intensive Care, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Christian A WambergDepartment of Anesthesiology and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Claudio ZimatoreDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Lieuwe D J BosDepartment of Intensive Care, Amsterdam University Medical Centres (UMC), University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
PEGASUS investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe "Personalized Mechanical Ventilation Guided by Lung UltraSound in Patients with Acute Respiratory Distress Syndrome" (PEGASUS) study aims to evaluate personalized mechanical ventilation (MV) in patients with acute respiratory distress syndrome (ARDS) compared to the standard of care. However, misclassification and misaligned MV strategies were shown to be harmful. We therefore aimed to assess the interobserver agreement of lung ultrasound (LUS) between the local investigator and an expert panel in classifying ARDS subphenotypes alongside protocol adherence and safety endpoints, as a pilot phase of the ongoing PEGASUS study.

methodsThe first 80 mechanically ventilated patients with moderate-to-severe ARDS were enrolled in the ongoing PEGASUS study, a randomized clinical trial (RCT), and were included in the pilot phase. Focal or non-focal subphenotypes were classified using a LUS. Positive end-expiratory pressures (PEEP), tidal volumes (VT), the application of recruitment manoeuvres, and proning were performed according to randomization arm and subphenotype. Safety limits for MV followed current guidelines. Agreement in subphenotype classification between local investigators and a panel of three experts was evaluated using Cohen's κ coefficient.

resultsIn 68 out of 80 exams, the images were of sufficient quality for assessment. The interobserver agreement for the lung morphology had a Cohen's kappa of 0.72 (95% CI 0.53-0.9) and accuracy of 88% between local investigator and the expert panel. Misclassification occurred in 8/68 exams (11.8%). Among these 8 misclassified cases, 6 (75%) also showed disagreement between experts due to different LUS scores of the anterior regions. Tidal volume and PEEP were generally set according to the protocol. An exception was the TV in the non-focal ARDS patients randomized to personalized MV, where the median (6.2 ml/kg/PBW) was above the target range (4-6 ml/kg/PBW). Patients exceeding safety limits of MV were low.

conclusionIn the pilot phase of an ongoing international subphenotype-targeted RCT, we found that local investigators' assessments agreed with expert panel consensus assessments in the large majority of cases, and nearly always when the expert panel assessment was unanimous. Protocol adherence was sufficient, but tidal volume in the non-focal subphenotype deserves attention during continuation of the study.

trial registrationThe study was registered on clinicaltrial.gov (ID: NCT05492344, date 2022-08-05).

Indexed as

Artificial respirationPrecision medicineRespiratory distress syndromeUltrasonography

Identifiers

PMID41423518
PMCPMC12719360

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