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A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure
Pulmonary complications are the most common clinical manifestations of coronavirus disease (COVID-19). From recent clinical observation, two phenotypes have emerged: a low elastance or L-type and a high elastance or H-type. Clinical presentation, pathophysiology, pulmonary mechanics, radiological an...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241588/ https://www.ncbi.nlm.nih.gov/pubmed/32440906 http://dx.doi.org/10.1007/s12630-020-01704-6 |
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author | Denault, André Y. Delisle, Stéphane Canty, David Royse, Alistair Royse, Colin Serra, Ximena Cid Gebhard, Caroline E. Couture, Étienne J. Girard, Martin Cavayas, Yiorgos Alexandros Peschanski, Nicolas Langevin, Stéphan Ouellet, Paul |
author_facet | Denault, André Y. Delisle, Stéphane Canty, David Royse, Alistair Royse, Colin Serra, Ximena Cid Gebhard, Caroline E. Couture, Étienne J. Girard, Martin Cavayas, Yiorgos Alexandros Peschanski, Nicolas Langevin, Stéphan Ouellet, Paul |
author_sort | Denault, André Y. |
collection | PubMed |
description | Pulmonary complications are the most common clinical manifestations of coronavirus disease (COVID-19). From recent clinical observation, two phenotypes have emerged: a low elastance or L-type and a high elastance or H-type. Clinical presentation, pathophysiology, pulmonary mechanics, radiological and ultrasound findings of these two phenotypes are different. Consequently, the therapeutic approach also varies between the two. We propose a management algorithm that combines the respiratory rate and oxygenation index with bedside lung ultrasound examination and monitoring that could help determine earlier the requirement for intubation and other surveillance of COVID-19 patients with respiratory failure. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12630-020-01704-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7241588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-72415882020-05-22 A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure Denault, André Y. Delisle, Stéphane Canty, David Royse, Alistair Royse, Colin Serra, Ximena Cid Gebhard, Caroline E. Couture, Étienne J. Girard, Martin Cavayas, Yiorgos Alexandros Peschanski, Nicolas Langevin, Stéphan Ouellet, Paul Can J Anaesth Special Article Pulmonary complications are the most common clinical manifestations of coronavirus disease (COVID-19). From recent clinical observation, two phenotypes have emerged: a low elastance or L-type and a high elastance or H-type. Clinical presentation, pathophysiology, pulmonary mechanics, radiological and ultrasound findings of these two phenotypes are different. Consequently, the therapeutic approach also varies between the two. We propose a management algorithm that combines the respiratory rate and oxygenation index with bedside lung ultrasound examination and monitoring that could help determine earlier the requirement for intubation and other surveillance of COVID-19 patients with respiratory failure. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12630-020-01704-6) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-05-21 2020 /pmc/articles/PMC7241588/ /pubmed/32440906 http://dx.doi.org/10.1007/s12630-020-01704-6 Text en © Canadian Anesthesiologists' Society 2020, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Special Article Denault, André Y. Delisle, Stéphane Canty, David Royse, Alistair Royse, Colin Serra, Ximena Cid Gebhard, Caroline E. Couture, Étienne J. Girard, Martin Cavayas, Yiorgos Alexandros Peschanski, Nicolas Langevin, Stéphan Ouellet, Paul A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure |
title | A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure |
title_full | A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure |
title_fullStr | A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure |
title_full_unstemmed | A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure |
title_short | A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure |
title_sort | proposed lung ultrasound and phenotypic algorithm for the care of covid-19 patients with acute respiratory failure |
topic | Special Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241588/ https://www.ncbi.nlm.nih.gov/pubmed/32440906 http://dx.doi.org/10.1007/s12630-020-01704-6 |
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