Evidence map›Paper›PMID 34273008›Full record

ArticleAnnals of intensive care2021

Platelet activation in critically ill COVID-19 patients.

Nader Yatim, Jeremy Boussier, Richard Chocron, Jérôme Hadjadj, Aurélien Philippe, Nicolas Gendron, Laura Barnabei, Bruno Charbit, Tali-Anne Szwebel, Nicolas Carlier and 11 more

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2021. 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
4.7field-weighted citation impact, top 4% 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, 75 citations in OpenAlex.

  1. Endotheliopathy in Acute COVID-19 and Long COVID.International journal of molecular sciences · 2023
    Pooled it
  2. Pooled it
  3. Pooled it
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  8. Review
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  11. Review
  12. Article
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  14. Rotational Thromboelastometry (ROTEMJournal of clinical medicine · 2023
    Article
  15. Review
  16. COVID-19 and the Response to Antiplatelet Therapy.Journal of clinical medicine · 2023
    Review
  17. In silico investigation ofJournal of ginseng research · 2023
    Article
  18. Article
  19. Pathogens (Basel, Switzerland) · 2023
    Article
  20. 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 at 6 institutions in 1 country.

Nader Yatim *Translational Immunology Lab, Department of Immunology, Institut Pasteur, 75015, Paris, France.ORCID http://orcid.org/0000-0001-5326-1624
Jeremy Boussier *Translational Immunology Lab, Department of Immunology, Institut Pasteur, 75015, Paris, France.ORCID https://orcid.org/0000-0002-2249-377X
Richard ChocronUniversité de Paris, INSERM, U970, PARCC, Paris, France.
Jérôme HadjadjDepartment of Internal Medicine, National Reference Center for Rare Systemic Autoimmune Diseases, AP-HP, APHP.CUP, Hôpital Cochin, 75014, Paris, France.
Aurélien PhilippeInnovative Therapies in Haemostasis, INSERM, Université de Paris, 75006, Paris, France.
Nicolas GendronInnovative Therapies in Haemostasis, INSERM, Université de Paris, 75006, Paris, France.
Laura BarnabeiImagine Institute Laboratory of Immunogenetics of Pediatric Autoimmune Diseases, INSERM, UMR 1163, Université de Paris, 75015, Paris, France.
Bruno CharbitCytometry and Biomarkers UTechS, CRT, Institut Pasteur, 75015, Paris, France.
Tali-Anne SzwebelDepartment of Internal Medicine, National Reference Center for Rare Systemic Autoimmune Diseases, AP-HP, APHP.CUP, Hôpital Cochin, 75014, Paris, France.
Nicolas CarlierDepartment of Pulmonology, APHP-CUP, Hôpital Cochin, 75014, Paris, France.
Frédéric PèneUniversité de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, 75006, Paris, France.
Célia AzoulayDepartment of Internal Medicine, National Reference Center for Rare Systemic Autoimmune Diseases, AP-HP, APHP.CUP, Hôpital Cochin, 75014, Paris, France.
Lina KhiderBiosurgical Research Lab (Carpentier Foundation), Georges Pompidou European Hospital, 75015, Paris, France.
Tristan MiraultVascular Medicine Department, APHP-CUP, Université de Paris, 75015, Paris, France.
Jean-Luc DiehlBiosurgical Research Lab (Carpentier Foundation), Georges Pompidou European Hospital, 75015, Paris, France.
Coralie L GuerinInnovative Therapies in Haemostasis, INSERM, Université de Paris, 75006, Paris, France.
Frédéric Rieux-LaucatImagine Institute Laboratory of Immunogenetics of Pediatric Autoimmune Diseases, INSERM, UMR 1163, Université de Paris, 75015, Paris, France.
Darragh DuffyTranslational Immunology Lab, Department of Immunology, Institut Pasteur, 75015, Paris, France.
Solen KernéisEquipe Mobile d'Infectiologie, APHP-CUP, Hôpital Cochin, 75014, Paris, France.
David M Smadja *Innovative Therapies in Haemostasis, INSERM, Université de Paris, 75006, Paris, France.
Benjamin Terrier *Department of Internal Medicine, National Reference Center for Rare Systemic Autoimmune Diseases, AP-HP, APHP.CUP, Hôpital Cochin, 75014, Paris, France. benjamin.terrier@aphp.fr.
Inserm · FRInstitut Pasteur · FRHôpital Cochin · FRAgence France-Presse · FRCentre National de la Recherche Scientifique · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrovascular, arterial and venous thrombotic events have been largely described during severe coronavirus disease 19 (COVID-19). However, mechanisms underlying hemostasis dysregulation remain unclear.

methodsWe explored two independent cross-sectional cohorts to identify soluble markers and gene-expression signatures that discriminated COVID-19 severity and outcomes.

resultsWe found that elevated soluble (s)P-selectin at admission was associated with disease severity. Elevated sP-selectin was predictive of intubation and death (ROC AUC = 0.67, p = 0.028 and AUC = 0.74, p = 0.0047, respectively). An optimal cutoff value was predictive of intubation with 66% negative predictive value (NPV) and 61% positive predictive value (PPV), and of death with 90% NPV and 55% PPV. An unbiased gene set enrichment analysis revealed that critically ill patients had increased expression of genes related to platelet activation. Hierarchical clustering identified ITG2AB, GP1BB, PPBP and SELPLG to be upregulated in a grade-dependent manner. ROC curve analysis for the prediction of intubation was significant for SELPLG and PPBP (AUC = 0.8, p = 0.046 for both). An optimal cutoff value for PBPP was predictive of intubation with 100% NPV and 45% PPV, and for SELPLG with 100% NPV and 50% PPV.

conclusionWe provide evidence that platelets contribute to COVID-19 severity. Plasma sP-selectin level was associated with severity and in-hospital mortality. Transcriptional analysis identified PPBP/CXCL7 and SELPLG as biomarkers for intubation. These findings provide additional evidence for platelet activation in driving critical COVID-19. Specific studies evaluating the performance of these biomarkers are required.

Indexed as

COVID-19PlateletsPrimary hemostasisThrombo-inflammation

Identifiers

PMID34273008
PMCPMC8286043
OpenAlexW3182310754

What OpenQuestion holds

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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 OpenQuestion graph.