Coronavirus Disease 2019 Phenotypes, Lung Ultrasound, Chest Computed Tomography and Clinical Features in Critically Ill Mechanically Ventilated Patients.


Journal

Ultrasound in medicine & biology
ISSN: 1879-291X
Titre abrégé: Ultrasound Med Biol
Pays: England
ID NLM: 0410553

Informations de publication

Date de publication:
12 2021
Historique:
received: 14 12 2020
revised: 17 06 2021
accepted: 19 07 2021
pubmed: 24 9 2021
medline: 18 11 2021
entrez: 23 9 2021
Statut: ppublish

Résumé

Chest computed tomography (CT) may provide insights into the pathophysiology of coronavirus disease 2019 (COVID-19), although it is not suitable for a timely bedside dynamic assessment of patients admitted to intensive care unit (ICU); therefore, lung ultrasound (LUS) has been proposed as a complementary diagnostic tool. The aims of this study were to investigate different lungs phenotypes in patients with COVID-19 and to assess the differences in CT and LUS scores between ICU survivors and non-survivors. We also explored the association between CT and LUS, and oxygenation (arterial partial pressure of oxygen [PaO

Identifiants

pubmed: 34551862
pii: S0301-5629(21)00311-2
doi: 10.1016/j.ultrasmedbio.2021.07.014
pmc: PMC8302846
pii:
doi:

Substances chimiques

Oxygen S88TT14065

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

3323-3332

Informations de copyright

Copyright © 2021 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest All authors have no conflict of interest to disclose.

Auteurs

Davide Orlandi (D)

Department of Radiology, Ospedale Evangelico Internazionale, Genoa, Italy. Electronic address: my.davideorlandi@gmail.com.

Denise Battaglini (D)

Anesthesia and Intensive Care, San Martino Policlinico Hospital, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) for Oncology and Neurosciences, Genoa, Italy; Department of Medicine, University of Barcelona, Barcelona, Spain.

Chiara Robba (C)

Anesthesia and Intensive Care, San Martino Policlinico Hospital, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) for Oncology and Neurosciences, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostic (DISC), University of Genoa, Genoa, Italy.

Marco Viganò (M)

Orthopedics Biotechnology Laboratory, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Istituto Ortopedico Galeazzi, Milan, Italy.

Giulio Bergamaschi (G)

Department of Radiology, Ospedale Evangelico Internazionale, Genoa, Italy.

Tiziana Mignatti (T)

Department of Radiology, Ospedale Evangelico Internazionale, Genoa, Italy.

Maria Luisa Radice (ML)

Anesthesia and Intensive Care, Ospedale Evangelico Internazionale, Genoa, Italy.

Antonio Lapolla (A)

Anesthesia and Intensive Care, Ospedale Evangelico Internazionale, Genoa, Italy.

Giovanni Turtulici (G)

Department of Radiology, Ospedale Evangelico Internazionale, Genoa, Italy.

Paolo Pelosi (P)

Anesthesia and Intensive Care, San Martino Policlinico Hospital, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) for Oncology and Neurosciences, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostic (DISC), University of Genoa, Genoa, Italy.

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Classifications MeSH