Quantitative Computed Tomography and Response to Pronation in COVID-19 ARDS.

COVID-19 ARDS computed tomography coronavirus SARS lung compliance prone position pulmonary gas exchange quantitative CT scan analysis ventilation/perfusion scan

Journal

Respiratory care
ISSN: 1943-3654
Titre abrégé: Respir Care
Pays: United States
ID NLM: 7510357

Informations de publication

Date de publication:
12 Jun 2024
Historique:
pubmed: 10 4 2024
medline: 10 4 2024
entrez: 9 4 2024
Statut: aheadofprint

Résumé

The use of prone position (PP) has been widespread during the COVID-19 pandemic. Whereas it has demonstrated benefits, including improved oxygenation and lung aeration, the factors influencing the response in terms of gas exchange to PP remain unclear. In particular, the association between baseline quantitative computed tomography (CT) scan results and gas exchange response to PP in invasively ventilated subjects with COVID-19 ARDS is unknown. The present study aimed to compare baseline quantitative CT results between subjects responding to PP in terms of oxygenation or CO This was a single-center, retrospective observational study including critically ill, invasively ventilated subjects with COVID-19-related ARDS admitted to the ICUs of Niguarda Hospital between March 2020-November 2021. Blood gas samples were collected before and after PP. Subjects in whom the P One hundred twenty-five subjects were enrolled, of which 116 (93%) were O Most subjects with COVID-19-related ARDS improved their oxygenation at the first pronation cycle. The study suggests that baseline quantitative CT scan data were not associated with the response to PP in oxygenation or CO

Sections du résumé

BACKGROUND BACKGROUND
The use of prone position (PP) has been widespread during the COVID-19 pandemic. Whereas it has demonstrated benefits, including improved oxygenation and lung aeration, the factors influencing the response in terms of gas exchange to PP remain unclear. In particular, the association between baseline quantitative computed tomography (CT) scan results and gas exchange response to PP in invasively ventilated subjects with COVID-19 ARDS is unknown. The present study aimed to compare baseline quantitative CT results between subjects responding to PP in terms of oxygenation or CO
METHODS METHODS
This was a single-center, retrospective observational study including critically ill, invasively ventilated subjects with COVID-19-related ARDS admitted to the ICUs of Niguarda Hospital between March 2020-November 2021. Blood gas samples were collected before and after PP. Subjects in whom the P
RESULTS RESULTS
One hundred twenty-five subjects were enrolled, of which 116 (93%) were O
CONCLUSIONS CONCLUSIONS
Most subjects with COVID-19-related ARDS improved their oxygenation at the first pronation cycle. The study suggests that baseline quantitative CT scan data were not associated with the response to PP in oxygenation or CO

Identifiants

pubmed: 38594036
pii: respcare.11625
doi: 10.4187/respcare.11625
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 by Daedalus Enterprises.

Auteurs

Francesco Zadek (F)

Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.

Luca Berta (L)

Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Giulia Zorzi (G)

Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; and Department of Physics, INFN Milan Unit, Milan, Italy.

Stefania Ubiali (S)

Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.

Amos Bonaiti (A)

Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.

Giulia Tundo (G)

Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.

Beatrice Brunoni (B)

Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.

Francesco Marrazzo (F)

Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.

Riccardo Giudici (R)

Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.

Anna Rossi (A)

Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.

Francesco Rizzetto (F)

Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Davide Paolo Bernasconi (DP)

School of Medicine and Surgery, Bicocca Bioinformatics Biostatistics and Bioimaging Center - B4, University of Milano-Bicocca, Monza, Italy.

Angelo Vanzulli (A)

Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; and Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy.

Paola Enrica Colombo (PE)

Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Roberto Fumagalli (R)

Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy; and Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.

Alberto Torresin (A)

Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Thomas Langer (T)

Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy; and Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy. Thomas.Langer@unimib.it.

Classifications MeSH