Computed tomography assessment of PEEP-induced alveolar recruitment in patients with severe COVID-19...
Computed tomography assessment of PEEP-induced alveolar recruitment in patients with severe COVID-19 pneumonia
About this item
Full title
Author / Creator
GECOVID (GEnoa COVID-19) group , Ball, Lorenzo , Robba, Chiara , Maiello, Lorenzo , Herrmann, Jacob , Gerard, Sarah E , Xin, Yi , Battaglini, Denise , Brunetti, Iole , Minetti, Giuseppe , Seitun, Sara , Vena, Antonio , Giacobbe, Daniele Roberto , Bassetti, Matteo , Rocco, Patricia R M , Cereda, Maurizio , Castellan, Lucio , Patroniti, Nicolò and Pelosi, Paolo
Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publication information
Publisher
England: BioMed Central Ltd
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More information
Scope and Contents
Contents
There is a paucity of data concerning the optimal ventilator management in patients with COVID-19 pneumonia; particularly, the optimal levels of positive-end expiratory pressure (PEEP) are unknown. We aimed to investigate the effects of two levels of PEEP on alveolar recruitment in critically ill patients with severe COVID-19 pneumonia.
A single...
Alternative Titles
Full title
Computed tomography assessment of PEEP-induced alveolar recruitment in patients with severe COVID-19 pneumonia
Authors, Artists and Contributors
Author / Creator
Ball, Lorenzo
Robba, Chiara
Maiello, Lorenzo
Herrmann, Jacob
Gerard, Sarah E
Xin, Yi
Battaglini, Denise
Brunetti, Iole
Minetti, Giuseppe
Seitun, Sara
Vena, Antonio
Giacobbe, Daniele Roberto
Bassetti, Matteo
Rocco, Patricia R M
Cereda, Maurizio
Castellan, Lucio
Patroniti, Nicolò
Pelosi, Paolo
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_283c6c0c3acb4097a446700ecffd6912
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_283c6c0c3acb4097a446700ecffd6912
Other Identifiers
ISSN
1364-8535
E-ISSN
1466-609X,1364-8535,1366-609X
DOI
10.1186/s13054-021-03477-w
