Altered pulmonary blood volume distribution as a biomarker for predicting outcomes in COVID-19 disease.


Journal

The European respiratory journal
ISSN: 1399-3003
Titre abrégé: Eur Respir J
Pays: England
ID NLM: 8803460

Informations de publication

Date de publication:
09 2021
Historique:
received: 09 11 2020
accepted: 03 02 2021
pubmed: 27 2 2021
medline: 23 9 2021
entrez: 26 2 2021
Statut: epublish

Résumé

Evidence suggests that vascular inflammation and thrombosis may be important drivers of poor clinical outcomes in patients with COVID-19. We hypothesised that a significant decrease in the percentage of blood volume in vessels with a cross-sectional area between 1.25 and 5 mm We performed a retrospective analysis of chest CT scans from 10 hospitals across two US states in 313 COVID-19-positive and 195 COVID-19-negative patients seeking acute medical care. BV5% was predictive of outcomes in COVID-19 patients in a multivariate model, with a BV5% threshold below 25% associated with OR 5.58 for mortality, OR 3.20 for intubation and OR 2.54 for the composite of mortality or intubation. A model using age and BV5% had an area under the receiver operating characteristic curve of 0.85 to predict the composite of mortality or intubation in COVID-19 patients. BV5% was not predictive of clinical outcomes in patients without COVID-19. The data suggest BV5% as a novel biomarker for predicting adverse outcomes in patients with COVID-19 seeking acute medical care.

Identifiants

pubmed: 33632795
pii: 13993003.04133-2020
doi: 10.1183/13993003.04133-2020
pmc: PMC7908189
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright ©The authors 2021.

Déclaration de conflit d'intérêts

Conflict of interest: M.F. Morris has nothing to disclose. Conflict of interest: Y. Pershad has nothing to disclose. Conflict of interest: P. Kang has nothing to disclose. Conflict of interest: L. Ridenour has nothing to disclose. Conflict of interest: B. Lavon is an employee of FLUIDDA, a company that develops and markets part of the technology described in this paper. Conflict of interest: M. Lanclus is an employee of FLUIDDA, a company that develops and markets part of the technology described in this paper. Conflict of interest: R. Godon is an employee of FLUIDDA, a company that develops and markets part of the technology described in this paper. Conflict of interest: J. De Backer is an employee of FLUIDDA, a company that develops and markets part of the technology described in this paper. Conflict of interest: M.K. Glassberg serves on advisory boards for Bellerophon Therapeutics, Genentech, Boehringer Ingelheim and Bristol Myers Squibb.

Auteurs

Michael F Morris (MF)

Dept of Radiology, Banner - University Medical Center Phoenix, Phoenix, AZ, USA michael.morris@bannerhealth.com.
Dept of Medicine, Banner - University Medical Center Phoenix, Phoenix, AZ, USA.

Yash Pershad (Y)

Dept of Bioengineering, Stanford University, Palo Alto, CA, USA.

Paul Kang (P)

Dept of Biostatistics, University of Arizona College of Public Health, Phoenix, AZ, USA.

Lauren Ridenour (L)

Dept of Medicine, Banner - University Medical Center Phoenix, Phoenix, AZ, USA.

Ben Lavon (B)

FLUIDDA, New York City, NY, USA.

Maarten Lanclus (M)

FLUIDDA, New York City, NY, USA.

Rik Godon (R)

FLUIDDA, New York City, NY, USA.

Jan De Backer (J)

FLUIDDA, New York City, NY, USA.

Marilyn K Glassberg (MK)

Dept of Medicine, Banner - University Medical Center Phoenix, Phoenix, AZ, USA.
Division of Pulmonary Medicine, Critical Care, and Sleep Medicine, University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA.

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Classifications MeSH