Evidence map›Paper›PMID 36143072›Full record

ArticleJournal of clinical medicine2022

Lung Ultrasound Findings and Endothelial Perturbation in a COVID-19 Low-Intensity Care Unit.

Roberta Gualtierotti, Francesco Tafuri, Raffaella Rossio, Matteo Rota, Paolo Bucciarelli, Barbara Ferrari, Andrea Giachi, Chiara Suffritti, Massimo Cugno, Flora Peyvandi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 3 institutions in 1 country.

Roberta GualtierottiDipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Università degli Studi di Milano, 20122 Milan, Italy.ORCID 0000-0001-6465-7624
Francesco TafuriFondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, UOC Medicina Interna-Emostasi e Trombosi, 20122 Milan, Italy.
Raffaella RossioFondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, UOC Medicina Interna-Emostasi e Trombosi, 20122 Milan, Italy.
Matteo RotaDipartimento di Medicina Molecolare e Traslazionale, Università degli Studi di Brescia, 25123 Brescia, Italy.ORCID 0000-0003-3928-5966
Paolo BucciarelliFondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, UOC Medicina Interna-Emostasi e Trombosi, 20122 Milan, Italy.ORCID 0000-0003-0877-365X
Barbara FerrariFondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, UOC Medicina Interna-Emostasi e Trombosi, 20122 Milan, Italy.
Andrea GiachiDipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Università degli Studi di Milano, 20122 Milan, Italy.ORCID 0000-0002-8798-0552
Chiara SuffrittiFondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, UOC Medicina Interna-Emostasi e Trombosi, 20122 Milan, Italy.ORCID 0000-0002-8872-8842
Massimo CugnoDipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Università degli Studi di Milano, 20122 Milan, Italy.ORCID 0000-0002-9918-0763
Flora PeyvandiDipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Università degli Studi di Milano, 20122 Milan, Italy.ORCID 0000-0001-7423-9864
On Behalf Of The Principlus Study Group
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITUniversity of Milan · ITUniversity of Brescia · IT

Funding

Italian Ministry of Health Italian taxes 5 x 1000 - 2017 devolved to Fondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMinistero della Salute Ricerca Corrente 2020University of Milan Piano di sostegno alla ricerca Linea 2
6 · The paper itself

Abstract

Hypercoagulability and endothelial dysfunction related to inflammation have been clearly demonstrated in COVID-19. However, their influence on thromboembolism, lung alterations and mortality in low-intensity-care patients with COVID-19 is not completely clarified. Our aims were to evaluate the prevalence of deep vein thrombosis (DVT) with compressive ultrasound (CUS); to describe lung ultrasound (LUS) features; and to study coagulation, inflammatory and endothelial perturbation biomarkers in COVID-19 patients at low-intensity care unit admission. The predictive value of these biomarkers on mortality, need for oxygen support and duration of hospitalization was also evaluated. Of the 65 patients included, 8 were non-survivors. CUS was negative for DVT in all patients. LUS Soldati and Vetrugno scores were strongly correlated (rho = 0.95) with each other, and both significantly differed in patients who needed oxygen therapy vs. those who did not (Soldati p = 0.017; Vetrugno p = 0.023), with coalescent B lines as the most prevalent pattern in patients with a worse prognosis. Mean (SD) levels of thrombomodulin and VCAM-1 were higher in non-survivors than in survivors (7283.9 pg/mL (3961.9 pg/mL) vs. 4800.7 pg/mL (1771.0 pg/mL), p = 0.004 and 2299 ng/mL (730.35 ng/mL) vs. 1451 ng/mL (456.2 ng/mL), p < 0.001, respectively). Finally, in a multivariate analysis model adjusted for age, sex and Charlson score, VCAM-1 level increase was independently associated with death [OR 1.31 (1.06, 1.81; p = 0.036)]. In conclusion, in a cohort of mild COVID-19 patients, we found no DVT events despite the highly abnormal inflammatory, endothelial and coagulation parameters. The presence of lung alterations at admission could not predict outcome. The endothelial perturbation biomarker VCAM-1 emerged as a promising prognostic tool for mortality in COVID-19.

Indexed as

compression ultrasoundCOVID-19endothelial perturbationlow-intensity carelung ultrasoundthrombomodulin

Identifiers

PMID36143072
PMCPMC9504266
OpenAlexW4296047117

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.