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
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
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
1364-8535,1466-609X,1366-609X
DOI
10.1186/s13054-021-03477-w
