Evidence map›Paper›PMID 29959455›Full record

Observational studyIntensive care medicine2018

Circulating biomarkers may be unable to detect infection at the early phase of sepsis in ICU patients: the CAPTAIN prospective multicenter cohort study.

Marianna Parlato, François Philippart, Alexandra Rouquette, Virginie Moucadel, Virginie Puchois, Sophie Blein, Jean-Pierre Bedos, Jean-Luc Diehl, Olfa Hamzaoui, Djillali Annane and 10 more

Open access · bronzeAbstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Intensive care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
6.5field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.

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  10. Transcriptional characterization of sepsis in a LPS porcine model.Molecular genetics and genomics : MGG · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 6 institutions in 1 country.

Marianna ParlatoUnit Cytokines and Inflammation, Institut Pasteur, Paris, France.ORCID http://orcid.org/0000-0001-6466-0065
François PhilippartService de Médecine Intensive et Réanimation, Groupe Hospitalier Paris Saint-Joseph, Paris, France.
Alexandra RouquetteUnité de Biostatistiques et d'Epidémiologie, Hôpital Hotel-Dieu, Assistance Publique-Hôpitaux de Paris, Paris, France.
Virginie MoucadelMedical Diagnostic Discovery Department, BioMérieux SA, Lyon, France.
Virginie PuchoisUnit Cytokines and Inflammation, Institut Pasteur, Paris, France.
Sophie BleinMedical Diagnostic Discovery Department, BioMérieux SA, Lyon, France.
Jean-Pierre BedosService de Réanimation, Hôpital André Mignot, Versailles, France.
Jean-Luc DiehlService de Réanimation Médicale, Hôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.
Olfa HamzaouiService de Réanimation, Hôpital Antoine Béclère, Assistance Publique-Hôpitaux de Paris, Clamart, France.
Djillali AnnaneService de Réanimation, Hôpital Raymond Poincaré, Assistance Publique-Hôpitaux de Paris, Garches, France.
Didier JournoisUniversité Paris Descartes, Paris Sorbonne Cité, Paris, France.
Myriam Ben BoutiebUnité de Biostatistiques et d'Epidémiologie, Hôpital Hotel-Dieu, Assistance Publique-Hôpitaux de Paris, Paris, France.
Laurent EstèveMedical Diagnostic Discovery Department, BioMérieux SA, Lyon, France.
Catherine FittingUnit Cytokines and Inflammation, Institut Pasteur, Paris, France.
Jean-Marc TreluyerUniversité Paris Descartes, Paris Sorbonne Cité, Paris, France.
Alexandre PachotMedical Diagnostic Discovery Department, BioMérieux SA, Lyon, France.
Minou Adib-ConquyUnit Cytokines and Inflammation, Institut Pasteur, Paris, France.
Jean-Marc CavaillonUnit Cytokines and Inflammation, Institut Pasteur, Paris, France.
Benoît MissetService de Médecine Intensive et Réanimation, Groupe Hospitalier Paris Saint-Joseph, Paris, France. benoit.misset@chu-rouen.fr.
Captain Study Group
Institut Pasteur · FRDélégation Paris 5 · FRAssistance Publique – Hôpitaux de Paris · FRHôpital André Mignot · FRHôpital Charles-Nicolle · FRHôtel-Dieu de Paris · FR

Funding

Ministère des Affaires Sociales et de la Santé (FR) PHRC 09143
6 · The paper itself

Abstract

purposeSepsis and non-septic systemic inflammatory response syndrome (SIRS) are the same syndromes, differing by their cause, sepsis being secondary to microbial infection. Microbiological tests are not enough to detect infection early. While more than 50 biomarkers have been proposed to detect infection, none have been repeatedly validated.

aimTo assess the accuracy of circulating biomarkers to discriminate between sepsis and non-septic SIRS.

methodsThe CAPTAIN study was a prospective observational multicenter cohort of 279 ICU patients with hypo- or hyperthermia and criteria of SIRS, included at the time the attending physician considered antimicrobial therapy. Investigators collected blood at inclusion to measure 29 plasma compounds and ten whole blood RNAs, and-for those patients included within working hours-14 leukocyte surface markers. Patients were classified as having sepsis or non-septic SIRS blindly to the biomarkers results. We used the LASSO method as the technique of multivariate analysis, because of the large number of biomarkers.

resultsDuring the study period, 363 patients with SIRS were screened, 84 having exclusion criteria. Ninety-one patients were classified as having non-septic SIRS and 188 as having sepsis. Eight biomarkers had an area under the receiver operating curve (ROC-AUC) over 0.6 with a 95% confidence interval over 0.5. LASSO regression identified CRP and HLA-DRA mRNA as being repeatedly associated with sepsis, and no model performed better than CRP alone (ROC-AUC 0.76 [0.68-0.84]).

conclusionsThe circulating biomarkers tested were found to discriminate poorly between sepsis and non-septic SIRS, and no combination performed better than CRP alone.

Indexed as

BiomarkersSepsisSystemic Inflammatory Response SyndromeAgedDiagnosis, DifferentialFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesBiomarkersCohortCRPHLA-DRA mRNASepsis

Identifiers

PMID29959455
OpenAlexW2809709076

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.