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Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients

To evaluate whether lung ultrasound is reliable bedside tool to monitor changes of lung aeration at the early and late stages of ARDS. LUS was performed in ARDS patients that underwent at least two consecutive CT scan at ICU admission and at least 1 week after admission. Twelve fields were evaluated...

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Autores principales: Andrea, Costamagna, Irene, Steinberg, Emanuele, Pivetta, Pietro, Arina, Simona, Veglia, Luca, Brazzi, Vito, Fanelli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358118/
https://www.ncbi.nlm.nih.gov/pubmed/35939164
http://dx.doi.org/10.1007/s10877-022-00902-5
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author Andrea, Costamagna
Irene, Steinberg
Emanuele, Pivetta
Pietro, Arina
Simona, Veglia
Luca, Brazzi
Vito, Fanelli
author_facet Andrea, Costamagna
Irene, Steinberg
Emanuele, Pivetta
Pietro, Arina
Simona, Veglia
Luca, Brazzi
Vito, Fanelli
author_sort Andrea, Costamagna
collection PubMed
description To evaluate whether lung ultrasound is reliable bedside tool to monitor changes of lung aeration at the early and late stages of ARDS. LUS was performed in ARDS patients that underwent at least two consecutive CT scan at ICU admission and at least 1 week after admission. Twelve fields were evaluated and graded from 0 (normal) to 3 (consolidation). Changes of LUS score in twelve fields (ΔLUS(tot)) and in four ventral (ΔLUS(V)), intermediate (ΔLUS(I)) and dorsal (ΔLUS(D)) zones were calculated at each time points. Three categories were described: Improve (ΔLUS < 0), Equal (ΔLUS = 0) or Worse (ΔLUS > 0). LUS scores were correlated with total changes in lung CT aeration (ΔCT(air)) and with normally, poorly and not aerated regions (ΔCT(norm), ΔCT(poor) and ΔCT(not), respectively). Eleven patients were enrolled. ΔLUS(tot) had significant correlation with ΔCT(air) (r = − 0.74, p < 0.01). ΔLUS(V), ΔLUS(I) and ΔLUS(D) showed significant correlations with ΔCT(air) (r = − 0.66, r = − 0.69, r = − 0.63, respectively; p < 0.05). Compared to Equal, Improve and Worse categories had significantly higher (p < 0.01) and lower (p < 0.05) ΔCTair values, respectively. Compared to Equal, Improve and Worse categories had lower (p < 0.01) and higher (p < 0.01) ΔCT(not) values, respectively. LUS score had a good correlation with lung CT in detecting changes of lung aeration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10877-022-00902-5.
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spelling pubmed-93581182022-08-09 Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients Andrea, Costamagna Irene, Steinberg Emanuele, Pivetta Pietro, Arina Simona, Veglia Luca, Brazzi Vito, Fanelli J Clin Monit Comput Original Research To evaluate whether lung ultrasound is reliable bedside tool to monitor changes of lung aeration at the early and late stages of ARDS. LUS was performed in ARDS patients that underwent at least two consecutive CT scan at ICU admission and at least 1 week after admission. Twelve fields were evaluated and graded from 0 (normal) to 3 (consolidation). Changes of LUS score in twelve fields (ΔLUS(tot)) and in four ventral (ΔLUS(V)), intermediate (ΔLUS(I)) and dorsal (ΔLUS(D)) zones were calculated at each time points. Three categories were described: Improve (ΔLUS < 0), Equal (ΔLUS = 0) or Worse (ΔLUS > 0). LUS scores were correlated with total changes in lung CT aeration (ΔCT(air)) and with normally, poorly and not aerated regions (ΔCT(norm), ΔCT(poor) and ΔCT(not), respectively). Eleven patients were enrolled. ΔLUS(tot) had significant correlation with ΔCT(air) (r = − 0.74, p < 0.01). ΔLUS(V), ΔLUS(I) and ΔLUS(D) showed significant correlations with ΔCT(air) (r = − 0.66, r = − 0.69, r = − 0.63, respectively; p < 0.05). Compared to Equal, Improve and Worse categories had significantly higher (p < 0.01) and lower (p < 0.05) ΔCTair values, respectively. Compared to Equal, Improve and Worse categories had lower (p < 0.01) and higher (p < 0.01) ΔCT(not) values, respectively. LUS score had a good correlation with lung CT in detecting changes of lung aeration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10877-022-00902-5. Springer Netherlands 2022-08-08 2023 /pmc/articles/PMC9358118/ /pubmed/35939164 http://dx.doi.org/10.1007/s10877-022-00902-5 Text en © The Author(s) 2022 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 Research
Andrea, Costamagna
Irene, Steinberg
Emanuele, Pivetta
Pietro, Arina
Simona, Veglia
Luca, Brazzi
Vito, Fanelli
Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients
title Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients
title_full Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients
title_fullStr Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients
title_full_unstemmed Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients
title_short Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients
title_sort clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ards patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358118/
https://www.ncbi.nlm.nih.gov/pubmed/35939164
http://dx.doi.org/10.1007/s10877-022-00902-5
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