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Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study

BACKGROUND: During COVID-19 pandemic, optimization of the diagnostic resources is essential. Lung Ultrasound (LUS) is a rapid, easy-to-perform, low cost tool which allows bedside investigation of patients with COVID-19 pneumonia. We aimed to investigate the typical ultrasound patterns of COVID-19 pn...

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Autores principales: Persona, Paolo, Valeri, Ilaria, Zarantonello, Francesco, Forin, Edoardo, Sella, Nicolò, Andreatta, Giulio, Correale, Christelle, Serra, Eugenio, Boscolo, Annalisa, Volpicelli, Giovanni, Navalesi, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902088/
https://www.ncbi.nlm.nih.gov/pubmed/33624222
http://dx.doi.org/10.1186/s13089-021-00213-x
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author Persona, Paolo
Valeri, Ilaria
Zarantonello, Francesco
Forin, Edoardo
Sella, Nicolò
Andreatta, Giulio
Correale, Christelle
Serra, Eugenio
Boscolo, Annalisa
Volpicelli, Giovanni
Navalesi, Paolo
author_facet Persona, Paolo
Valeri, Ilaria
Zarantonello, Francesco
Forin, Edoardo
Sella, Nicolò
Andreatta, Giulio
Correale, Christelle
Serra, Eugenio
Boscolo, Annalisa
Volpicelli, Giovanni
Navalesi, Paolo
author_sort Persona, Paolo
collection PubMed
description BACKGROUND: During COVID-19 pandemic, optimization of the diagnostic resources is essential. Lung Ultrasound (LUS) is a rapid, easy-to-perform, low cost tool which allows bedside investigation of patients with COVID-19 pneumonia. We aimed to investigate the typical ultrasound patterns of COVID-19 pneumonia and their evolution at different stages of the disease. METHODS: We performed LUS in twenty-eight consecutive COVID-19 patients at both admission to and discharge from one of the Padua University Hospital Intensive Care Units (ICU). LUS was performed using a low frequency probe on six different areas per each hemithorax. A specific pattern for each area was assigned, depending on the prevalence of A-lines (A), non-coalescent B-lines (B1), coalescent B-lines (B2), consolidations (C). A LUS score (LUSS) was calculated after assigning to each area a defined pattern. RESULTS: Out of 28 patients, 18 survived, were stabilized and then referred to other units. The prevalence of C pattern was 58.9% on admission and 61.3% at discharge. Type B2 (19.3%) and B1 (6.5%) patterns were found in 25.8% of the videos recorded on admission and 27.1% (17.3% B2; 9.8% B1) on discharge. The A pattern was prevalent in the anterosuperior regions and was present in 15.2% of videos on admission and 11.6% at discharge. The median LUSS on admission was 27.5 [21–32.25], while on discharge was 31 [17.5–32.75] and 30.5 [27–32.75] in respectively survived and non-survived patients. On admission the median LUSS was equally distributed on the right hemithorax (13; 10.75–16) and the left hemithorax (15; 10.75–17). CONCLUSIONS: LUS collected in COVID-19 patients with acute respiratory failure at ICU admission and discharge appears to be characterized by predominantly lateral and posterior non-translobar C pattern and B2 pattern. The calculated LUSS remained elevated at discharge without significant difference from admission in both groups of survived and non-survived patients.
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spelling pubmed-79020882021-02-24 Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study Persona, Paolo Valeri, Ilaria Zarantonello, Francesco Forin, Edoardo Sella, Nicolò Andreatta, Giulio Correale, Christelle Serra, Eugenio Boscolo, Annalisa Volpicelli, Giovanni Navalesi, Paolo Ultrasound J Original Article BACKGROUND: During COVID-19 pandemic, optimization of the diagnostic resources is essential. Lung Ultrasound (LUS) is a rapid, easy-to-perform, low cost tool which allows bedside investigation of patients with COVID-19 pneumonia. We aimed to investigate the typical ultrasound patterns of COVID-19 pneumonia and their evolution at different stages of the disease. METHODS: We performed LUS in twenty-eight consecutive COVID-19 patients at both admission to and discharge from one of the Padua University Hospital Intensive Care Units (ICU). LUS was performed using a low frequency probe on six different areas per each hemithorax. A specific pattern for each area was assigned, depending on the prevalence of A-lines (A), non-coalescent B-lines (B1), coalescent B-lines (B2), consolidations (C). A LUS score (LUSS) was calculated after assigning to each area a defined pattern. RESULTS: Out of 28 patients, 18 survived, were stabilized and then referred to other units. The prevalence of C pattern was 58.9% on admission and 61.3% at discharge. Type B2 (19.3%) and B1 (6.5%) patterns were found in 25.8% of the videos recorded on admission and 27.1% (17.3% B2; 9.8% B1) on discharge. The A pattern was prevalent in the anterosuperior regions and was present in 15.2% of videos on admission and 11.6% at discharge. The median LUSS on admission was 27.5 [21–32.25], while on discharge was 31 [17.5–32.75] and 30.5 [27–32.75] in respectively survived and non-survived patients. On admission the median LUSS was equally distributed on the right hemithorax (13; 10.75–16) and the left hemithorax (15; 10.75–17). CONCLUSIONS: LUS collected in COVID-19 patients with acute respiratory failure at ICU admission and discharge appears to be characterized by predominantly lateral and posterior non-translobar C pattern and B2 pattern. The calculated LUSS remained elevated at discharge without significant difference from admission in both groups of survived and non-survived patients. Springer International Publishing 2021-02-24 /pmc/articles/PMC7902088/ /pubmed/33624222 http://dx.doi.org/10.1186/s13089-021-00213-x Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Persona, Paolo
Valeri, Ilaria
Zarantonello, Francesco
Forin, Edoardo
Sella, Nicolò
Andreatta, Giulio
Correale, Christelle
Serra, Eugenio
Boscolo, Annalisa
Volpicelli, Giovanni
Navalesi, Paolo
Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study
title Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study
title_full Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study
title_fullStr Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study
title_full_unstemmed Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study
title_short Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study
title_sort patients in intensive care unit for covid-19 pneumonia: the lung ultrasound patterns at admission and discharge. an observational pilot study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902088/
https://www.ncbi.nlm.nih.gov/pubmed/33624222
http://dx.doi.org/10.1186/s13089-021-00213-x
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