Evidence map›Paper›PMID 36035415›Full record

ArticleFrontiers in medicine2022

The radiographic assessment of lung edema score of lung edema severity correlates with inflammatory parameters in patients with coronavirus disease 2019-Potential new admission biomarkers to predict coronavirus disease 2019 worsening.

Patrice Marques, Lucia Fernandez-Presa, Aitor Carretero, Maria-Carmen Gómez-Cabrera, José Viña, Jaime Signes-Costa, Maria-Jesus Sanz

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

7 authors.

Patrice MarquesDepartment of Pharmacology, Faculty of Medicine and Odontology, University of Valencia, Valencia, Spain.
Lucia Fernandez-PresaInstitute of Health Research INCLIVA, University Clinic Hospital of Valencia, Valencia, Spain.
Aitor CarreteroInstitute of Health Research INCLIVA, University Clinic Hospital of Valencia, Valencia, Spain.
Maria-Carmen Gómez-CabreraInstitute of Health Research INCLIVA, University Clinic Hospital of Valencia, Valencia, Spain.
José ViñaInstitute of Health Research INCLIVA, University Clinic Hospital of Valencia, Valencia, Spain.
Jaime Signes-CostaInstitute of Health Research INCLIVA, University Clinic Hospital of Valencia, Valencia, Spain.
Maria-Jesus SanzDepartment of Pharmacology, Faculty of Medicine and Odontology, University of Valencia, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19) has placed enormous pressure on intensive care units (ICUs) and on healthcare systems in general. A deeper understanding of the pathophysiology of the most severe forms of COVID-19 would help guide the development of more effective interventions. Herein, we characterized the inflammatory state of patients with COVID-19 of varying degrees of severity to identify admission biomarkers for predicting COVID-19 worsening. Design: Admission blood samples were obtained from 78 patients with COVID-19. Radiographic assessment of lung edema (RALE) scoring was calculated by imaging. Platelet and leukocyte counts were measured by flow cytometry, and plasma levels of C-reactive protein were assessed by immunoturbidimetry, and interleukin (IL)-8/CXCL8, IL-10, tumor necrosis factor (TNF)-α, interferon (IFN)-γ, and Results: The RALE score correlated with several admission hemogram (platelets, neutrophils, and lymphocytes) and inflammatory (IL-8/CXCL8, MCP-1/CCL2, IL-10, and C-reactive protein) parameters. COVID-19 worsening, based on the need for oxygen (Δoxygen supply) during hospitalization, correlated negatively with admission lymphocyte counts but positively with neutrophil-to-lymphocyte ratio and with plasma levels of the inflammatory parameters correlating with RALE score. Conclusion: Our data indicate a correlation between the RALE score and Δoxygen supply and admission inflammatory status. The identification of a panel of biomarkers that reflect COVID severity might be useful to predict disease worsening during hospitalization and to guide clinical management of COVID-19-related complications. Finally, therapies targeting IL-8/CXCL8- or IL-10 activity may offer therapeutic approaches in COVID-19 treatment.

Indexed as

biomarkersCOVID-19inflammationrale scoreSARS-CoV-2

Identifiers

PMID36035415
PMCPMC9402930

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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.