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Lung Ultrasound Assessment of Focal and Non-focal Lung Morphology in Patients With Acute Respiratory Distress Syndrome

Background: The identification of phenotypes based on lung morphology can be helpful to better target mechanical ventilation of individual patients with acute respiratory distress syndrome (ARDS). We aimed to assess the accuracy of lung ultrasound (LUS) methods for classification of lung morphology...

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Autores principales: Pierrakos, Charalampos, Smit, Marry R., Pisani, Luigi, Paulus, Frederique, Schultz, Marcus J., Constantin, Jean-Michel, Chiumello, Davide, Mojoli, Francesco, Mongodi, Silvia, Bos, Lieuwe D. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476947/
https://www.ncbi.nlm.nih.gov/pubmed/34594240
http://dx.doi.org/10.3389/fphys.2021.730857
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author Pierrakos, Charalampos
Smit, Marry R.
Pisani, Luigi
Paulus, Frederique
Schultz, Marcus J.
Constantin, Jean-Michel
Chiumello, Davide
Mojoli, Francesco
Mongodi, Silvia
Bos, Lieuwe D. J.
author_facet Pierrakos, Charalampos
Smit, Marry R.
Pisani, Luigi
Paulus, Frederique
Schultz, Marcus J.
Constantin, Jean-Michel
Chiumello, Davide
Mojoli, Francesco
Mongodi, Silvia
Bos, Lieuwe D. J.
author_sort Pierrakos, Charalampos
collection PubMed
description Background: The identification of phenotypes based on lung morphology can be helpful to better target mechanical ventilation of individual patients with acute respiratory distress syndrome (ARDS). We aimed to assess the accuracy of lung ultrasound (LUS) methods for classification of lung morphology in critically ill ARDS patients under mechanical ventilation. Methods: This was a post hoc analysis on two prospective studies that performed LUS and chest computed tomography (CT) scanning at the same time. Expert panels from the two participating centers separately developed two LUS methods for classifying lung morphology based on LUS aeration scores from a 12-region exam (Amsterdam and Lombardy method). Moreover, a previously developed LUS method based on anterior LUS scores was tested (Piedmont method). Sensitivity and specificity of all three LUS methods was assessed in the cohort of the other center(s) by using CT as the gold standard for classification of lung morphology. Results: The Amsterdam and Lombardy cohorts consisted of 32 and 19 ARDS patients, respectively. From these patients, 23 (45%) had focal lung morphology while others had non-focal lung morphology. The Amsterdam method could classify focal lung morphology with a sensitivity of 77% and a specificity of 100%, while the Lombardy method had a sensitivity and specificity of 100 and 61%. The Piedmont method had a sensitivity and specificity of 91 and 75% when tested on both cohorts. With both the Amsterdam and Lombardy method, most patients could be classified based on the anterior regions alone. Conclusion: LUS-based methods can accurately classify lung morphology in invasively ventilated ARDS patients compared to gold standard chest CT. The anterior LUS regions showed to be the most discriminant between focal and non-focal lung morphology, although accuracy increased moderately when lateral and posterior LUS regions were integrated in the method.
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spelling pubmed-84769472021-09-29 Lung Ultrasound Assessment of Focal and Non-focal Lung Morphology in Patients With Acute Respiratory Distress Syndrome Pierrakos, Charalampos Smit, Marry R. Pisani, Luigi Paulus, Frederique Schultz, Marcus J. Constantin, Jean-Michel Chiumello, Davide Mojoli, Francesco Mongodi, Silvia Bos, Lieuwe D. J. Front Physiol Physiology Background: The identification of phenotypes based on lung morphology can be helpful to better target mechanical ventilation of individual patients with acute respiratory distress syndrome (ARDS). We aimed to assess the accuracy of lung ultrasound (LUS) methods for classification of lung morphology in critically ill ARDS patients under mechanical ventilation. Methods: This was a post hoc analysis on two prospective studies that performed LUS and chest computed tomography (CT) scanning at the same time. Expert panels from the two participating centers separately developed two LUS methods for classifying lung morphology based on LUS aeration scores from a 12-region exam (Amsterdam and Lombardy method). Moreover, a previously developed LUS method based on anterior LUS scores was tested (Piedmont method). Sensitivity and specificity of all three LUS methods was assessed in the cohort of the other center(s) by using CT as the gold standard for classification of lung morphology. Results: The Amsterdam and Lombardy cohorts consisted of 32 and 19 ARDS patients, respectively. From these patients, 23 (45%) had focal lung morphology while others had non-focal lung morphology. The Amsterdam method could classify focal lung morphology with a sensitivity of 77% and a specificity of 100%, while the Lombardy method had a sensitivity and specificity of 100 and 61%. The Piedmont method had a sensitivity and specificity of 91 and 75% when tested on both cohorts. With both the Amsterdam and Lombardy method, most patients could be classified based on the anterior regions alone. Conclusion: LUS-based methods can accurately classify lung morphology in invasively ventilated ARDS patients compared to gold standard chest CT. The anterior LUS regions showed to be the most discriminant between focal and non-focal lung morphology, although accuracy increased moderately when lateral and posterior LUS regions were integrated in the method. Frontiers Media S.A. 2021-09-14 /pmc/articles/PMC8476947/ /pubmed/34594240 http://dx.doi.org/10.3389/fphys.2021.730857 Text en Copyright © 2021 Pierrakos, Smit, Pisani, Paulus, Schultz, Constantin, Chiumello, Mojoli, Mongodi and Bos. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Pierrakos, Charalampos
Smit, Marry R.
Pisani, Luigi
Paulus, Frederique
Schultz, Marcus J.
Constantin, Jean-Michel
Chiumello, Davide
Mojoli, Francesco
Mongodi, Silvia
Bos, Lieuwe D. J.
Lung Ultrasound Assessment of Focal and Non-focal Lung Morphology in Patients With Acute Respiratory Distress Syndrome
title Lung Ultrasound Assessment of Focal and Non-focal Lung Morphology in Patients With Acute Respiratory Distress Syndrome
title_full Lung Ultrasound Assessment of Focal and Non-focal Lung Morphology in Patients With Acute Respiratory Distress Syndrome
title_fullStr Lung Ultrasound Assessment of Focal and Non-focal Lung Morphology in Patients With Acute Respiratory Distress Syndrome
title_full_unstemmed Lung Ultrasound Assessment of Focal and Non-focal Lung Morphology in Patients With Acute Respiratory Distress Syndrome
title_short Lung Ultrasound Assessment of Focal and Non-focal Lung Morphology in Patients With Acute Respiratory Distress Syndrome
title_sort lung ultrasound assessment of focal and non-focal lung morphology in patients with acute respiratory distress syndrome
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476947/
https://www.ncbi.nlm.nih.gov/pubmed/34594240
http://dx.doi.org/10.3389/fphys.2021.730857
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