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Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation
BACKGROUND: Diaphragm dysfunction is common in critically ill patients and associated with poorer outcomes. The function of the diaphragm can be evaluated at the bedside by measuring diaphragmatic excursion using ultrasonography. In this study, we investigated the ability of right-sided diaphragmati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507830/ https://www.ncbi.nlm.nih.gov/pubmed/37726832 http://dx.doi.org/10.1186/s40560-023-00690-3 |
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author | Suttapanit, Karn Wongkrasunt, Supawit Savatmongkorngul, Sorravit Supatanakij, Praphaphorn |
author_facet | Suttapanit, Karn Wongkrasunt, Supawit Savatmongkorngul, Sorravit Supatanakij, Praphaphorn |
author_sort | Suttapanit, Karn |
collection | PubMed |
description | BACKGROUND: Diaphragm dysfunction is common in critically ill patients and associated with poorer outcomes. The function of the diaphragm can be evaluated at the bedside by measuring diaphragmatic excursion using ultrasonography. In this study, we investigated the ability of right-sided diaphragmatic excursion (RDE) to predict the need for invasive mechanical ventilation (IMV). METHODS: Critically ill patients aged 18 years and older who presented to our emergency department between May 20, 2021 and May 19, 2022 and underwent measurement of RDE within 10 min of arrival were enrolled in this prospective study. The ability of RDE to predict the need for IMV was assessed by multivariable logistic regression and analysis of the area under the receiver-operating characteristic curve (AUROC). RESULTS: A total of 314 patients were enrolled in the study; 113 (35.9%) of these patients required IMV. An increase of RDE value per each 0.1 cm was identified to be an independent predictor of IMV (adjusted odds ratio 0.08, 95% confidence interval [CI] 0.04–0.17, p < 0.001; AUROC 0.850, 95% CI 0.807–0.894). The RDE cutoff value was 1.2 cm (sensitivity 82.3%, 95% CI 74.0–88.8; specificity 78.1%, 95% CI 71.7–83.6). Time on a ventilator was significantly longer when the RDE was ≤ 1.2 cm (13 days [interquartile range 5, 27] versus 5 days [interquartile range 3, 8], p = 0.006). CONCLUSIONS: In this study, RDE had a good ability to predict the need for IMV in critically ill patients. The optimal RDE cutoff value was 1.2 cm. Its benefit in patient management requires further investigation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40560-023-00690-3. |
format | Online Article Text |
id | pubmed-10507830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105078302023-09-20 Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation Suttapanit, Karn Wongkrasunt, Supawit Savatmongkorngul, Sorravit Supatanakij, Praphaphorn J Intensive Care Research BACKGROUND: Diaphragm dysfunction is common in critically ill patients and associated with poorer outcomes. The function of the diaphragm can be evaluated at the bedside by measuring diaphragmatic excursion using ultrasonography. In this study, we investigated the ability of right-sided diaphragmatic excursion (RDE) to predict the need for invasive mechanical ventilation (IMV). METHODS: Critically ill patients aged 18 years and older who presented to our emergency department between May 20, 2021 and May 19, 2022 and underwent measurement of RDE within 10 min of arrival were enrolled in this prospective study. The ability of RDE to predict the need for IMV was assessed by multivariable logistic regression and analysis of the area under the receiver-operating characteristic curve (AUROC). RESULTS: A total of 314 patients were enrolled in the study; 113 (35.9%) of these patients required IMV. An increase of RDE value per each 0.1 cm was identified to be an independent predictor of IMV (adjusted odds ratio 0.08, 95% confidence interval [CI] 0.04–0.17, p < 0.001; AUROC 0.850, 95% CI 0.807–0.894). The RDE cutoff value was 1.2 cm (sensitivity 82.3%, 95% CI 74.0–88.8; specificity 78.1%, 95% CI 71.7–83.6). Time on a ventilator was significantly longer when the RDE was ≤ 1.2 cm (13 days [interquartile range 5, 27] versus 5 days [interquartile range 3, 8], p = 0.006). CONCLUSIONS: In this study, RDE had a good ability to predict the need for IMV in critically ill patients. The optimal RDE cutoff value was 1.2 cm. Its benefit in patient management requires further investigation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40560-023-00690-3. BioMed Central 2023-09-19 /pmc/articles/PMC10507830/ /pubmed/37726832 http://dx.doi.org/10.1186/s40560-023-00690-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Suttapanit, Karn Wongkrasunt, Supawit Savatmongkorngul, Sorravit Supatanakij, Praphaphorn Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation |
title | Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation |
title_full | Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation |
title_fullStr | Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation |
title_full_unstemmed | Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation |
title_short | Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation |
title_sort | ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507830/ https://www.ncbi.nlm.nih.gov/pubmed/37726832 http://dx.doi.org/10.1186/s40560-023-00690-3 |
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