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Clinical performance of lung ultrasound in predicting ARDS morphology

BACKGROUND: To assess diagnostic performance of lung ultrasound (LUS) in identifying ARDS morphology (focal vs non-focal), compared with the gold standard computed tomography. METHODS: Mechanically ventilated ARDS patients undergoing lung computed tomography and ultrasound were enrolled. Twelve fiel...

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Autores principales: Costamagna, Andrea, Pivetta, Emanuele, Goffi, Alberto, Steinberg, Irene, Arina, Pietro, Mazzeo, Anna Teresa, Del Sorbo, Lorenzo, Veglia, Simona, Davini, Ottavio, Brazzi, Luca, Ranieri, V. Marco, Fanelli, Vito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006629/
https://www.ncbi.nlm.nih.gov/pubmed/33779834
http://dx.doi.org/10.1186/s13613-021-00837-1
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author Costamagna, Andrea
Pivetta, Emanuele
Goffi, Alberto
Steinberg, Irene
Arina, Pietro
Mazzeo, Anna Teresa
Del Sorbo, Lorenzo
Veglia, Simona
Davini, Ottavio
Brazzi, Luca
Ranieri, V. Marco
Fanelli, Vito
author_facet Costamagna, Andrea
Pivetta, Emanuele
Goffi, Alberto
Steinberg, Irene
Arina, Pietro
Mazzeo, Anna Teresa
Del Sorbo, Lorenzo
Veglia, Simona
Davini, Ottavio
Brazzi, Luca
Ranieri, V. Marco
Fanelli, Vito
author_sort Costamagna, Andrea
collection PubMed
description BACKGROUND: To assess diagnostic performance of lung ultrasound (LUS) in identifying ARDS morphology (focal vs non-focal), compared with the gold standard computed tomography. METHODS: Mechanically ventilated ARDS patients undergoing lung computed tomography and ultrasound were enrolled. Twelve fields, were evaluated. LUS score was graded from 0 (normal) to 3 (consolidation) according to B-lines extent. Total and regional LUS score as the sum of the four ventral (LUS(V)), intermediate (LUS(I)) or dorsal (LUS(D)) fields, were calculated. Based on lung CT, ARDS morphology was defined as (1) focal (loss of aeration with lobar distribution); (2) non-focal (widespread loss of aeration or segmental loss of aeration distribution associated with uneven lung attenuation areas), and diagnostic accuracy of LUS in discriminating ARDS morphology was determined by AU-ROC in training and validation set of patients. RESULTS: Forty-seven patients with ARDS (25 training set and 22 validation set) were enrolled. LUS(TOT), LUS(V) and LUS(I) but not LUS(D) score were significantly lower in focal than in non-focal ARDS morphologies (p < .01). The AU-ROC curve of LUS(TOT), LUS(V), LUS(I) and LUS(D) for identification of non-focal ARDS morphology were 0.890, 0.958, 0.884 and 0.421, respectively. LUS(V) value ≥ 3 had the best predictive value (sensitivity = 0.95, specificity = 1.00) in identifying non-focal ARDS morphology. In the validation set, an LUS(V) score ≥ 3 confirmed to be highly predictive of non-focal ARDS morphology, with a sensitivity and a specificity of 94% and 100%. CONCLUSIONS: LUS had a valuable performance in distinguishing ARDS morphology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-021-00837-1.
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spelling pubmed-80066292021-03-30 Clinical performance of lung ultrasound in predicting ARDS morphology Costamagna, Andrea Pivetta, Emanuele Goffi, Alberto Steinberg, Irene Arina, Pietro Mazzeo, Anna Teresa Del Sorbo, Lorenzo Veglia, Simona Davini, Ottavio Brazzi, Luca Ranieri, V. Marco Fanelli, Vito Ann Intensive Care Research BACKGROUND: To assess diagnostic performance of lung ultrasound (LUS) in identifying ARDS morphology (focal vs non-focal), compared with the gold standard computed tomography. METHODS: Mechanically ventilated ARDS patients undergoing lung computed tomography and ultrasound were enrolled. Twelve fields, were evaluated. LUS score was graded from 0 (normal) to 3 (consolidation) according to B-lines extent. Total and regional LUS score as the sum of the four ventral (LUS(V)), intermediate (LUS(I)) or dorsal (LUS(D)) fields, were calculated. Based on lung CT, ARDS morphology was defined as (1) focal (loss of aeration with lobar distribution); (2) non-focal (widespread loss of aeration or segmental loss of aeration distribution associated with uneven lung attenuation areas), and diagnostic accuracy of LUS in discriminating ARDS morphology was determined by AU-ROC in training and validation set of patients. RESULTS: Forty-seven patients with ARDS (25 training set and 22 validation set) were enrolled. LUS(TOT), LUS(V) and LUS(I) but not LUS(D) score were significantly lower in focal than in non-focal ARDS morphologies (p < .01). The AU-ROC curve of LUS(TOT), LUS(V), LUS(I) and LUS(D) for identification of non-focal ARDS morphology were 0.890, 0.958, 0.884 and 0.421, respectively. LUS(V) value ≥ 3 had the best predictive value (sensitivity = 0.95, specificity = 1.00) in identifying non-focal ARDS morphology. In the validation set, an LUS(V) score ≥ 3 confirmed to be highly predictive of non-focal ARDS morphology, with a sensitivity and a specificity of 94% and 100%. CONCLUSIONS: LUS had a valuable performance in distinguishing ARDS morphology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-021-00837-1. Springer International Publishing 2021-03-29 /pmc/articles/PMC8006629/ /pubmed/33779834 http://dx.doi.org/10.1186/s13613-021-00837-1 Text en © The Author(s) 2021 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/.
spellingShingle Research
Costamagna, Andrea
Pivetta, Emanuele
Goffi, Alberto
Steinberg, Irene
Arina, Pietro
Mazzeo, Anna Teresa
Del Sorbo, Lorenzo
Veglia, Simona
Davini, Ottavio
Brazzi, Luca
Ranieri, V. Marco
Fanelli, Vito
Clinical performance of lung ultrasound in predicting ARDS morphology
title Clinical performance of lung ultrasound in predicting ARDS morphology
title_full Clinical performance of lung ultrasound in predicting ARDS morphology
title_fullStr Clinical performance of lung ultrasound in predicting ARDS morphology
title_full_unstemmed Clinical performance of lung ultrasound in predicting ARDS morphology
title_short Clinical performance of lung ultrasound in predicting ARDS morphology
title_sort clinical performance of lung ultrasound in predicting ards morphology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006629/
https://www.ncbi.nlm.nih.gov/pubmed/33779834
http://dx.doi.org/10.1186/s13613-021-00837-1
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