Evidence map›Paper›PMID 35150462›Full record

ArticleJournal of thrombosis and haemostasis : JTH2022

Thrombosis pathways in COVID-19 vs. influenza-associated ARDS: A targeted proteomics approach.

Emma Rademaker, Dennis J Doorduijn, Nuray Kusadasi, Coen Maas, Julia Drylewicz, Albert Huisman, Imo E Hoefer, Marc J M Bonten, Lennie P G Derde, Suzan H M Rooijakkers and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of thrombosis and haemostasis : JTH, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Thrombosis in Critically Ill Influenza Patients: Incidence and Risk Factors.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

11 authors at 1 institution in 1 country.

Emma RademakerJulius Center, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0001-5143-5723
Dennis J DoorduijnDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-1679-5739
Nuray KusadasiDepartment of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-3504-0996
Coen MaasDepartment of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-4593-0976
Julia DrylewiczCenter for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-9434-8459
Albert HuismanDepartment of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-2291-2487
Imo E HoeferDepartment of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-8379-7814
Marc J M BontenJulius Center, University Medical Center Utrecht, Utrecht, The Netherlands.
Lennie P G DerdeDepartment of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-3577-5629
Suzan H M RooijakkersDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-4102-0377
Olaf L CremerDepartment of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-4264-1108
University Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary embolism (PE) occurs in one-third of critically-ill COVID-19 patients. Although prior studies identified several pathways contributing to thrombogenicity, it is unknown whether this is COVID-19-specific or also occurs in ARDS patients with another infection.

objectiveTo compare pathway activity among patients having COVID-19 with PE (C19PE+), COVID-19 without PE (C19PE-), and influenza-associated ARDS (IAA) using a targeted proteomics approach.

methodsWe exploited an existing biorepository containing daily plasma samples to carefully match C19PE+ cases to C19PE- and IAA controls on mechanical ventilation duration, PEEP, FiO2, and cardiovascular-SOFA (n = 15 per group). Biomarkers representing various thrombosis pathways were measured using proximity extension- and ELISA-assays. Summed z-scores of individual biomarkers were used to represent total pathway activity.

resultsWe observed no relevant between-group differences among 22 biomarkers associated with activation of endothelium, platelets, complement, coagulation, fibrinolysis or inflammation, except sIL-1RT2 and sST2, which were lower in C19PE- than IAA (log2-Foldchange -0.67, p = .022 and -1.78, p = .022, respectively). However, total pathway analysis indicated increased activation of endothelium (z-score 0.2 [-0.3-1.03] vs. 0.98 [-2.5--0.3], p = .027), platelets (1.0 [-1.3-3.0] vs. -3.3 [-4.1--0.6], p = .023) and coagulation (0.8 [-0.5-2.0] vs. -1.0 [-1.6-1.0], p = .023) in COVID-19 patients (C19PE+/C19PE- groups combined) compared to IAA.

conclusionWe observed only minor differences between matched C19PE+, C19PE-, and IAA patients, which suggests individual biomarkers mostly reflect disease severity. However, analysis of total pathway activity suggested upregulation of some distinct processes in COVID-19 could be etiologically related to increased PE-risk.

Indexed as

COVID-19Influenza, HumanPulmonary EmbolismRespiratory Distress SyndromeThrombosisBiomarkersHumansProteomicsSARS-CoV-2BiomarkersCOVID-19influenzapulmonary embolismrespiratory distress syndromethrombosis

Identifiers

PMID35150462
PMCPMC9115133
OpenAlexW4211069594

What Socratic 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 Socratic graph.