Evidence map›Paper›PMID 40839098›Full record

ArticleIntensive care medicine2025

Temporal stability of phenotypes of acute respiratory distress syndrome: clinical implications for early corticosteroid therapy and mortality.

Joris Pensier, Maxime Fosset, Béla-Simon Paschold, Dario von Wedel, Simone Redaelli, Ben L P Braeuer, Victor Novack, Felix Balzer, Boris Jung, Marcelo B P Amato and 4 more

Registry-linked trialAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Intensive care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07511582 (Efficacy, Safety, and Tolerability of Methylprednisolone in Critically Ill Patients With the Hyperinflammatory Phenotype), which is not on this map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
–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.

NCT07511582 phase2recruitingnot on this mapstarted 2026, after this paper: background citation

Efficacy, Safety, and Tolerability of Methylprednisolone in Critically Ill Patients With the Hyperinflammatory Phenotype: A Multicenter, Randomized, Double-Blind, Placebo-Controlled Phase II Trial

TypeinterventionalSponsorBin DuRan2026 to 2028Enrolled150ConditionsSepsis, Acute Respiratory Distress SyndromeArmsMethylprednisolone (MP), Placebo
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Is postoperative ARDS different from medical ARDS?Critical care (London, England) · 2026
    Article
  15. ARDS and corticosteroids: beyond COVID-19.Pneumonia (Nathan Qld.) · 2026
    Review
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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.

Joris PensierAnesthesiology and Intensive Care, Anesthesia and Critical Care Department B, Saint Eloi Teaching Hospital, PhyMedExp, University of Montpellier, INSERM U1046, Montpellier, France.
Maxime FossetDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Béla-Simon PascholdDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Dario von WedelDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Simone RedaelliDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Ben L P BraeuerDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Victor NovackClinical Research Center, Soroka University Medical Center and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Felix BalzerInstitute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Boris JungDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Marcelo B P AmatoHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Laboratório de Pneumologia LIM-09, Disciplina de Pneumologia, Heart Institute (Incor), São Paulo, Brazil.
Samir JaberAnesthesiology and Intensive Care, Anesthesia and Critical Care Department B, Saint Eloi Teaching Hospital, PhyMedExp, University of Montpellier, INSERM U1046, Montpellier, France.
Daniel TalmorDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Elias Baedorf-KassisDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Maximilian S SchaeferDepartment of Anesthesia, Critical Care and Pain Medicine, Center for Anesthesia Research Excellence Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA. msschaef@bidmc.harvard.edu.ORCID 0000-0001-8186-4748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeInflammatory phenotypes of acute respiratory distress syndrome (ARDS) can predict patient outcomes and potentially response to treatment. The aim was to assess whether inflammatory phenotypes can be characterized over time using clinical surrogate data and used to guide therapy with corticosteroids.

methodsIndividual patient data and biomarkers from six multicenter randomized controlled trials (development, n = 1207; validation, n = 2751) were analyzed to establish an open-source AI Clinical Classifier ( https://bostonmontpelliercare.shinyapps.io/AIClarity ) for inflammatory phenotypes of ARDS using routine clinical data. Then, patients from a retrospective cohort (investigation, n = 5578) underwent classification from baseline to day 30. A discrete-time Bayesian Markov model assessed temporal stability at 3-day intervals. A target trial emulation and longitudinal logistic regression assessed corticosteroid effect on 30-day mortality depending on phenotype.

resultsThe AI Clinical Classifier identified 2169 (39%) hyperinflammatory and 3409 (61%) hypoinflammatory patients. 1053 (49%) and 826 (24%) patients died within 30 days, respectively (p < 0.001). Over 30 days, 49%(1072/2169) of hyperinflammatory patients at baseline transitioned to hypoinflammatory, and 7%(229/3409) of hypoinflammatory patients at baseline transitioned to hyperinflammatory (p < 0.001). Phenotypes predicted response to corticosteroids, with lower mortality in hyperinflammatory patients (IPW-weighted hazard ratio [HR]: 0.81 [0.67-0.98], p = 0.033), and higher mortality in hypoinflammatory patients (IPW-weighted HR: 1.26 [1.06-1.50], p = 0.009). At day 3, a positive response to corticosteroids only persisted among patients who remained hyperinflammatory (adjusted odds ratio = 0.51, 95% CI 0.32-0.80, p = 0.004).

conclusionCharacterization of inflammatory ARDS phenotypes using clinical surrogate data allows physicians to monitor patients throughout the course of the disease and guide clinical treatment. Corticosteroids may be beneficial in hyperinflammatory ARDS and harmful in hypoinflammatory ARDS.

Indexed as

Adrenal Cortex HormonesPhenotypeRespiratory Distress SyndromeAgedBayes TheoremBiomarkersFemaleHumansLogistic ModelsMaleMiddle AgedRandomized Controlled Trials as TopicRetrospective StudiesTime FactorsAdrenal Cortex HormonesBiomarkersAcute respiratory distress syndromeCorticosteroidsInflammationMechanical ventilationPhenotyping

Identifiers

What OpenQuestion holds

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Registered trials

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.