Evidence map›Paper›PMID 33491921›Full record

Observational studyCytometry. Part A : the journal of the International Society for Analytical Cytology2021

CD169 and CD64 could help differentiate bacterial from CoVID-19 or other viral infections in the Emergency Department.

Pénélope Bourgoin, Thomas Soliveres, Alexandra Barbaresi, Anderson Loundou, Inès Ait Belkacem, Isabelle Arnoux, Denis Bernot, Marie Loosveld, Pierre-Emmanuel Morange, Pierre Michelet and 2 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Siglecs: From Biomodulation to Immunotherapy.Current protein & peptide science · 2026
    Review
  8. CD169Frontiers in cellular and infection microbiology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Heliyon · 2023
    Article
  19. Article
  20. 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

12 authors at 5 institutions in 1 country.

Pénélope BourgoinDepartment of Research and Development, Beckman Coulter Life Sciences-Immunotech, Marseille, France.
Thomas SoliveresDepartment of Emergency Medicine and Intensive Care, Timone University Hospital, APHM, Marseille, France.
Alexandra BarbaresiDepartment of Emergency Medicine and Intensive Care, Timone University Hospital, APHM, Marseille, France.
Anderson LoundouDepartment of Public Health, EA3279 Self-Perceived Health Assessment Research Unit, Timone University Hospital, Aix-Marseille University, Marseille, France.
Inès Ait BelkacemDepartment of Research and Development, Beckman Coulter Life Sciences-Immunotech, Marseille, France.
Isabelle ArnouxDepartment of Hematology Laboratory, Timone University Hospital, APHM, Marseille, France.
Denis BernotDepartment of Hematology Laboratory, Timone University Hospital, APHM, Marseille, France.
Marie LoosveldDepartment of Hematology Laboratory, Timone University Hospital, APHM, Marseille, France.
Pierre-Emmanuel MorangeAix Marseille University, INSERM, INRAE, Marseille, France.
Pierre MicheletAix Marseille University, INSERM, INRAE, Marseille, France.
Fabrice MalergueDepartment of Research and Development, Beckman Coulter Life Sciences-Immunotech, Marseille, France.ORCID 0000-0003-1322-1390
Thibaut MarkarianAix Marseille University, INSERM, INRAE, Marseille, France.
Inserm · FRAssistance Publique Hôpitaux de Marseille · FRGenoscience Pharma (France) · FRAix-Marseille Université · FRUnité de recherche sur les maladies cardiovasculaires et métaboliques · FR

Funding

Association Nationale de la Recherche et de la Technologie 2018/1212Association Nationale de la Recherche et de la Technologie n°2016/1368
6 · The paper itself

Abstract

The identification of a bacterial, viral, or even noninfectious cause is essential in the management of febrile syndrome in the emergency department (ED), especially in epidemic contexts such as flu or CoVID-19. The aim was to assess discriminative performances of two biomarkers, CD64 on neutrophils (nCD64) and CD169 on monocytes (mCD169), using a new flow cytometry procedure, in patients presenting with fever to the ED during epidemics. Eighty five adult patients presenting with potential infection were included during the 2019 flu season in the ED of La Timone Hospital. They were divided into four diagnostic outcomes according to their clinical records: no-infection, bacterial infection, viral infection and co-infection. Seventy six patients with confirmed SARS-CoV-2 infection were also compared to 48 healthy volunteers. For the first cohort, 38 (45%) patients were diagnosed with bacterial infections, 11 (13%) with viral infections and 29 (34%) with co-infections. mCD169 was elevated in patients with viral infections, with a majority of Flu A virus or Respiratory Syncytial Virus, while nCD64 was elevated in subjects with bacterial infections, with a majority of Streptococcus pneumoniae and Escherichia coli. nCD64 and mCD169 showed 90% and 80% sensitivity, and 78% and 91% specificity, respectively, for identifying patients with bacterial or viral infections. When studied in a second cohort, mCD169 was elevated in 95% of patients with SARS-CoV-2 infections and remained at normal level in 100% of healthy volunteers. nCD64 and mCD169 have potential for accurately distinguishing bacterial and acute viral infections. Combined in an easy and rapid flow cytometry procedure, they constitute a potential improvement for infection management in the ED, and could even help for triage of patients during emerging epidemics.

Indexed as

Emergency Service, HospitalFlow CytometryAdultAgedBacterial InfectionsBiomarkersCOVID-19Diagnosis, DifferentialFemaleHost-Pathogen InteractionsHumansMaleMiddle AgedMonocytesPredictive Value of TestsProspective StudiesBiomarkersFCGR1A protein, humanReceptors, IgGSialic Acid Binding Ig-like Lectin 1SIGLEC1 protein, humanbacterial infectionCoVID-19emergency departmentflow cytometryviral infection

Identifiers

PMID33491921
PMCPMC8014466
OpenAlexW3125448411

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.