Evidence map›Paper›PMID 37574520›Full record

ArticleIntensive care medicine experimental2023

Soluble TREM-1 plasma concentration predicts poor outcome in COVID-19 patients.

Sébastien Gibot, Thomas Lafon, Laurent Jacquin, Benjamin Lefevre, Antoine Kimmoun, Anne Guillaumot, Marie-Reine Losser, Marion Douplat, Laurent Argaud, Guillaume De Ciancio and 7 more

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

17 authors at 5 institutions in 2 countries.

Sébastien GibotMédecine Intensive et Réanimation, Hôpital Central, Université de Lorraine, CHRU-Nancy, 54000, Nancy, France. S.gibot@chru-nancy.fr.ORCID http://orcid.org/0000-0001-6067-4662
Thomas LafonEmergency Department, Limoges University Hospital Center, 87000, Limoges, France.
Laurent JacquinEmergency Department, Hospices Civils de Lyon, Hôpital Edouard Herriot, 69003, Lyon, France.
Benjamin LefevreService des Maladies Infectieuses et Tropicales, Université de Lorraine, CHRU-Nancy, 54000, Nancy, France.
Antoine KimmounMédecine Intensive et Réanimation, Hôpital Brabois, Université de Lorraine, CHRU-Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Anne GuillaumotDépartement de Pneumologie, Hôpital Brabois, Université de Lorraine, CHRU-Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Marie-Reine LosserRéanimation Chirurgicale, Hôpital Brabois, Université de Lorraine, CHRU-Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Marion DouplatEmergency Department, Hospices Civils de Lyon, Hôpital Lyon Sud Pierre Benite, 69000, Lyon, France.
Laurent ArgaudService de Médecine Intensive-Réanimation, Hospices Civils de Lyon, Hôpital Edouard Herriot, 69003, Lyon, France.
Guillaume De CiancioDépartement de Cardiologie, Hôpital Brabois, Université de Lorraine, CHRU-Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Lucie JollyInotrem Sa, Faculté de Médecine de Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Nina ToulyInotrem Sa, Faculté de Médecine de Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Marc DeriveInotrem Sa, Faculté de Médecine de Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Catherine MalaplateLaboratoire de Biochimie, Hôpital Brabois, Université de Lorraine, CHRU-Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Amandine LucUnité de Méthodologie, Data Management et Statistiques, Hôpital Brabois, Université de Lorraine, CHRU-Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Cédric BaumannUnité de Méthodologie, Data Management et Statistiques, Hôpital Brabois, Université de Lorraine, CHRU-Nancy, 54500, Vandoeuvre-Les-Nancy, France.
Bruno FrançoisRéanimation Polyvalente et Inserm CIC-1435 & UMR-1092, CHU Limoges, 87000, Limoges, France.
Centre Hospitalier Régional et Universitaire de Nancy · FRCentre de Médecine Préventive · FRHospices Civils de Lyon · FRUniversité de Lorraine · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe immuno-receptor Triggering Expressed on Myeloid cells-1 (TREM-1) is activated during bacterial infectious diseases, where it amplifies the inflammatory response. Small studies suggest that TREM-1 could be involved in viral infections, including COVID-19. We here aim to decipher whether plasma concentration of the soluble form of TREM-1 (sTREM-1) could predict the outcome of hospitalized COVID-19 patients.

methodsWe conducted a multicentre prospective observational study in 3 university hospitals in France. Consecutive hospitalized patients with confirmed infection with SARS-CoV-2 were enrolled. Plasma concentration of sTREM-1 was measured on admission and then at days 4, 6, 8, 14, 21, and 28 in patients admitted into an ICU (ICU cohort: ICUC) or 3 times a week for patients hospitalized in a medical ward (Conventional Cohort: ConvC). Clinical and biological data were prospectively recorded and patients were followed-up for 90 days. For medical ward patients, the outcome was deemed complicated in case of requirement of increased oxygen supply > 5 L/min, transfer to an ICU, or death. For Intensive Care Unit (ICU) patients, complicated outcome was defined by death in the ICU.

resultsPlasma concentration of sTREM-1 at inclusion was higher in ICU patients (n = 269) than in medical ward patients (n = 562) (224 pg/mL (IQR 144-320) vs 147 pg/mL (76-249), p < 0.0001), and higher in patients with a complicated outcome in both cohorts: 178 (94-300) vs 135 pg/mL (70-220), p < 0.0001 in the ward patients, and 342 (288-532) vs 206 pg/mL (134-291), p < 0.0001 in the ICU patients. Elevated sTREM-1 baseline concentration was an independent predictor of complicated outcomes (Hazard Ratio (HR) = 1.5 (1.1-2.1), p = 0.02 in ward patients; HR = 3.8 (1.8-8.0), p = 0.0003 in ICU patients). An sTREM-1 plasma concentration of 224 pg/mL had a sensitivity of 42%, and a specificity of 76% in the ConvC for complicated outcome. In the ICUC, a 287 pg/mL cutoff had a sensitivity of 78%, and a specificity of 74% for death. The sTREM-1 concentrations increased over time in the ConvC patients with a complicated outcome (p = 0.017), but not in the ICUC patients.

conclusionsIn COVID-19 patients, plasma concentration of sTREM-1 is an independent predictor of the outcome, although its positive and negative likelihood ratio are not good enough to guide clinical decision as a standalone marker.

Indexed as

ARDSCOVID-19PrognosticationTREM-1

Identifiers

PMID37574520
PMCPMC10423708
OpenAlexW4385791037

What Socratic holds

Textmetadata
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 Socratic graph.