Evidence map›Paper›PMID 36152461›Full record

ArticleThrombosis research2022

Clinical, laboratory and immunohistochemical characterization of in situ pulmonary arterial thrombosis in fatal COVID-19.

Luca Quartuccio, Arianna Sonaglia, Letizia Casarotto, Dennis McGonagle, Carla Di Loreto, Enrico Pegolo

Open access · greenAbstract read
In one paragraph

Article in Thrombosis research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Carrageenan-induced immunothrombotic models in rodents (Review).Experimental and therapeutic medicine · 2026
    Review
  2. Review
  3. Pulmonary arteryFrontiers in cardiovascular medicine · 2024
    Article
  4. Article
  5. Review
  6. Review
  7. 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

6 authors at 3 institutions in 2 countries.

Luca QuartuccioDivision of Rheumatology, Academic Hospital "Santa Maria della Misericordia", ASUFC, Piazzale Santa Maria della Misericordia 15, 33100 Udine, Italy; University of Udine, Department of Medicine (DAME), Via Colugna 50, 33100 Udine, Italy. Electronic address: luca.quartuccio@uniud.it.
Arianna SonagliaDivision of Rheumatology, Academic Hospital "Santa Maria della Misericordia", ASUFC, Piazzale Santa Maria della Misericordia 15, 33100 Udine, Italy; University of Udine, Department of Medicine (DAME), Via Colugna 50, 33100 Udine, Italy.
Letizia CasarottoUniversity of Udine, Department of Medicine (DAME), Via Colugna 50, 33100 Udine, Italy; Institute of Anatomic Pathology, Academic Hospital "Santa Maria della Misericordia", ASUFC, Piazzale Santa Maria della Misericordia 15, 33100 Udine, Italy.
Dennis McGonagleLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds LS7 4SA, UK.
Carla Di LoretoUniversity of Udine, Department of Medicine (DAME), Via Colugna 50, 33100 Udine, Italy; Institute of Anatomic Pathology, Academic Hospital "Santa Maria della Misericordia", ASUFC, Piazzale Santa Maria della Misericordia 15, 33100 Udine, Italy.
Enrico PegoloInstitute of Anatomic Pathology, Academic Hospital "Santa Maria della Misericordia", ASUFC, Piazzale Santa Maria della Misericordia 15, 33100 Udine, Italy.
Ospedale Santa Maria della Misericordia di Udine · ITUniversity of Udine · ITUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 patients carry an increased rate of thrombosis. It is controversial to which extent thrombi in the pulmonary arterial tree really contribute to disease severity with hypoxemia secondary to microvascular/lung parenchymal damage with viral alveolitis considered to play the main role in critical disease.

objectivesThe primary objective was to compare post-mortem lung disease from fatal COVID-19 pneumonia in patients with macroscopically evident pulmonary arterial tree thrombosis and patients without, by characterizing the immunohistochemical nature of thrombi, and by comparing clinical and laboratory features of these patients with other COVID-19 patients who died but without evidence of pulmonary arterial thrombosis (controls). PATIENTS AND

methods13 COVID-19 pneumonia cases (mean age ± standard deviation: 74 ± 6.5 years) with macroscopically visible pulmonary arterial thrombosis were compared to 14 controls. Hematoxylin and Eosin stained slides were reviewed choosing those with visible pulmonary thrombi which were further characterized by immunohistochemistry, in particular for the inflammatory infiltrates. Ante mortem serum markers relevant to pulmonary embolism were evaluated in both groups.

resultsTwenty arterial thrombi (5 cases with multiple thrombi) were selected for study and were composed by white blood cells (WBC) [median, IQR range: 10 % (5-12.25)], mainly neutrophils [58 % (35.2-64.5)]. Cases with thrombosis showed significantly higher levels of platelet count [median, IQR range: 195000/mmc (157750-274,500) vs 143,500 (113000-175,250), p = 0.011], LDH [854 U/L (731-1315) vs 539 (391.5-660), p = 0.003] at admission, and D-dimer at ICU transfer [25,072 FEU (6951-50,531) vs 1024 (620-5501), p = 0.003].

conclusionsImmunothrombotically driven arterial thrombi in COVID-19 patients are associated with D-Dimer and LDH elevations, thus linking inflammation, coagulopathy and organ damage in fatal COVID-19.

Indexed as

COVID-19Hypertension, PulmonaryThrombosisBiomarkersEosine Yellowish-(YS)HematoxylinHumansLungSARS-CoV-2BiomarkersEosine Yellowish-(YS)HematoxylinArteryCoronavirusInflammationLungThrombosis

Identifiers

PMID36152461
PMCPMC9481474
OpenAlexW4296188721

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.