Evidence map›Paper›PMID 40033354›Full record

Observational studyCritical care (London, England)2025

An international observational study validating gene-expression sepsis immune subgroups.

David B Antcliffe, Estelle Peronnet, Frédéric Pène, Kristoffer Strålin, David Brealey, Sophie Blein, Richard Cleaver, Maria Cronhjort, Jean-Luc Diehl, Guillaume Voiriot and 15 more

Abstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
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  4. Review
  5. Article
  6. The 15th Anniversary ofLife (Basel, Switzerland) · 2025
    Review
  7. 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

25 authors.

David B AntcliffeDivision of Anaesthetics, Pain Medicine and Intensive Care, Imperial College London, London, UK.
Estelle PeronnetbioMérieux, Lyon, France.
Frédéric PèneAssistance Publique - Hôpitaux de Paris, Hôpital Cochin, DMU Réanimation-Urgences, Service de Médecine Intensive Réanimation; Institut Cochin, INSERM U1016, CNRS UMR8104, Université Paris Cité, Paris, France.
Kristoffer StrålinDepartment of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
David BrealeyDivision of Critical Care University College London Hospitals and NIHR University College London Hospitals Biomedical Research Centre, London, UK.
Sophie BleinbioMérieux, Lyon, France.
Richard CleaverDivision of Anaesthetics, Pain Medicine and Intensive Care, Imperial College London, London, UK.
Maria CronhjortSödersjukhuset Hospital, Stockholm, Sweden.
Jean-Luc DiehlInserm, Innovative Therapies in Haemostasis, Université Paris Cité, 75006, Paris, France.
Guillaume VoiriotAssistance Publique - Hôpitaux de Paris, Hôpital Tenon, DMU APPROCHES, Service de Médecine Intensive Réanimation; Centre de Recherche Saint-Antoine UMRS_938 INSERM, Sorbonne Université, Paris, France.
Aurore FleuriebioMérieux, Lyon, France.
Claudia LannsjöDepartment of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
Anne-Claire LukaszewiczHospices Civils de Lyon, Lyon, France.
Johan MårtenssonDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
Tài PhamAP-HP, Hôpital de Bicêtre, DMU CORREVE, Service de Médecine Intensive-Réanimation, FHU SEPSIS, Groupe de Recherche Clinique CARMAS, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Nicolas De ProstAP-HP, GHU Henri Mondor, DMU Médecine, Service de Médecine Intensive Réanimation, IMRB, INSERM U955, Université Paris Est Créteil, Créteil, France.
Jean-Damien RicardAssistance Publique - Hôpitaux de Paris, Hôpital Louis Mourier, DMU ESPRIT, Service de Médecine Intensive Réanimation, Université Paris Cité, IAME, UMR 1137, INSERM, Colombes, France.
Mervyn SingerBloomsbury Institute of Intensive Care Medicine, University College London, London, UK.
Gabriel TerrazEA 7426 Pathophysiology of Injury-Induced Immunosuppression, Université Claude Bernard Lyon 1 - Hospices Civils de Lyon - bioMérieux, Lyon, France.
Jean-François TimsitAP-HP, Bichat Hospital, Medical and Infectious Diseases ICU (Mi2), 75018, Paris, France.
Christian UngeDanderyds Hospital, Stockholm, Sweden.
Antoine Vieillard-BaronMedical and Surgical ICU, University Hospital Ambroise Pare, GHU Paris-Saclay, APHP, Université Versailles Saint Quentin en Yvelines, CESP, UMR1018, Boulogne, Paris, France.
Rebecka Rubenson WahlinSödersjukhuset Hospital, Stockholm, Sweden.
Jean-François LlitjosbioMérieux, Lyon, France.
Anthony C GordonDivision of Anaesthetics, Pain Medicine and Intensive Care, Imperial College London, London, UK. anthony.gordon@imperial.ac.uk.

Funding

National Institute for Health and Care Research UK RP-2015-06-018
6 · The paper itself

Abstract

backgroundSepsis gene-expression sub-phenotypes with prognostic and theranostic potential have been discovered. These have been identified retrospectively and have not been translated to methods that could be deployed at the bedside. We aimed to identify subgroups of septic patients at high-risk of poor outcome, using a rapid, multiplex RNA-based test.

methodsAdults with sepsis, in the intensive care unit (ICU) were recruited from 17 sites in the United Kingdom, Sweden and France. Blood was collected at days 2-5 (S1), 6-8 (S2) and 13-15 (S3) after ICU admission and analyzed centrally. Patients were assigned into 'high' and 'low' risk groups using two models previously developed for the Immune-Profiling Panel prototype on the bioMérieux FilmArray® system.

results357 patients were recruited (March 2021-November 2022). 69% were male with a median age of 67 years, APACHE II score of 21 and a 30% 90-day mortality rate. The proportions of high-risk patients decreased over the three sampling times (model 1: 53%, 40%, 15% and model 2: 81%, 74%, 37%). In model 1, 90-day mortality was higher in a high-risk group at each time (S1: 35% vs 24%, p = 0.04; S2: 43% vs 20%, p < 0.001; S3: 52% vs 24%, p = 0.007). In model 2, mortality was only significantly different at the second sampling time (S1: 30% vs 27%, p = 0.77; S2: 34% vs 14%, p = 0.002; S3: 35% vs 23%, p = 0.13).

conclusionsGene-expression diagnostics can identify patients with sepsis at high-risk of poor outcomes and could be used to identify patients for precision medicine trials. REGISTRATION: ISRCTN11364482 Registered 24th September 2020.

Indexed as

Gene ExpressionSepsisAgedAPACHEBiomarkersFemaleFranceHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesSwedenUnited KingdomBiomarkersGene-expressionProspective studySepsisTranscriptomics

Identifiers

PMID40033354
PMCPMC11877781

What Socratic holds

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LicenceCC BY
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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 Socratic graph.