Evidence map›Paper›PMID 39477836›Full record

Observational studyInternal and emergency medicine2025

SEPSIGN: early identification of sepsis signs in emergency department.

Thomas Lafon, Marie-Angélique Cazalis, Kimberly W Hart, Cassandra Hennessy, Karim Tazarourte, Wesley H Self, Arvin Radfar Akhavan, Saïd Laribi, Damien Viglino, Marion Douplat and 11 more

Abstract readObservational StudyMulticenter Study
PubMed Publisher
In one paragraph

Observational study in Internal and emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

21 authors.

Thomas LafonEmergency Department and Inserm CIC 1435, Dupuytren University Hospital, 2 Avenue Martin Luther King, 87042, Limoges, France. thomas.lafon@chu-limoges.fr.ORCID 0000-0003-4424-8107
Marie-Angélique CazalisMedical Diagnostic Discovery Department MD3, bioMerieux SA, Marcy L'Etoile, France.
Kimberly W HartDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Cassandra HennessyDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Karim TazarourteEmergency Department-SAMU 69, Hospices Civils de Lyon and INSERM 1290 RESHAPE, Centre Hospitalier Universitaire Édouard Herriot, University Lyon 1, Lyon, France.
Wesley H SelfDepartment of Emergency Medicine and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Arvin Radfar AkhavanDepartment of Emergency Medicine, University of Washington, Seattle, WA, USA.
Saïd LaribiEmergency Department, CHU Tours, Tours, France.
Damien ViglinoEmergency Department and HP2 Laboratory INSERM U1800, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France.
Marion DouplatEmergency Department, Hospices Civils de Lyon, Centre Hospitalier Universitaire Lyon Sud, Pierre-Bénite, France.
Adit A GindeDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Sophie TolouEmergency Department, Montauban Hospital, Montauban, France.
Simon A MahlerDepartments of Emergency Medicine, Epidemiology and Prevention, and Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Pierrick Le BorgneEmergency Department, and INSERM UMR 1260, Regenerative NanoMedicine, Fédération de Médecine Translationnelle, Hôpitaux Universitaires de Strasbourg, University of Strasbourg, Strasbourg, France.
Yann-Erick ClaessensDepartment of Emergency Medicine, Princesse Grace Hospital Center, Avenue Pasteur, Monte Carlo, Monaco.
Youri YordanovAP-HP, Hôpital Saint Antoine, Service d'Accueil Des Urgences, INSERM, Institut Pierre Louis d'Epidémiologie Et de Santé Publique, UMR-S 1136, Sorbonne Université, Paris, France.
Quentin Le BastardEmergency Department, Centre Hospitalier Universitaire, Nantes, France.
Agathe PancherEmergency Department, Henri Mondor Hospital, Aurillac, France.
Jim DucharmeDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Christopher J Lindsell *Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Nathan I Shapiro *Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because 20-30% of patients with sepsis deteriorate to critical illness, biomarkers that provide accurate early prognosis may identify which patients need more intensive treatment versus safe early discharge. The objective was to test the performance of sVEGFR2, suPAR and PCT, alone or combined with clinical signs and symptoms, for the prediction of clinical deterioration. This prospective observational study enrolled patients with suspected infection who met SIRS criteria without organ dysfunction (delta SOFA <2 from baseline) from 16 emergency departments. The primary endpoint was clinical deterioration (increased SOFA score ≥2 points, new or increased organ support, or death) within 72 hours of enrollment. Diagnosis and classification of infection status were adjudicated. 724 patients were enrolled, (54% men, median age 55 [38-70] y-o). Infection origin was abdominopelvic (21%), skin and soft tissues (17%), urinary (16%) and pulmonary (15%). 176 (24%) patients deteriorated, with a 28-day mortality of 1.4%. They had lower sVEGFR2 level (6.17 [5.00-7.40] vs 6.52 [5.40-7.84], p=0.024), higher circulating suPAR (5.25 [3.86-7.50] vs 4.18 [3.16-5.68], p<0.001) and higher PCT level (0.32 [0.08-1.80] vs 0.18 [0.05-0.98], p=0.004). suPAR demonstrated superior performance (AUC=0.65 [0.60-0.70]), compared to other biomarkers (PCT, AUC=0.57 [0.52-0.62] and sVEGFR2, AUC=0.58 [0.53-0.64]). Maximum accuracy was achieved from the combination of clinical information, sVEGFR2 and suPAR, yielding an AUC of 0.74 [0.69-0.78] and NPV 0.90 [0.88-0.94]. sVEGFR2 and suPAR were insufficiently accurate to rule out clinical deterioration. Panels of biomarkers will likely be needed to capture the heterogeneous mechanistic pathways involved in sepsis-related organ failure.

Indexed as

SepsisAdultAgedBiomarkersEarly DiagnosisEmergency Service, HospitalFemaleHumansMaleMiddle AgedProspective StudiesROC CurveBiomarkersBiomarkersSepsisTriage

Identifiers

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.