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Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients
PURPOSE: The purpose of the study was to review and summarize current literature concerning the validation and application of lung ultrasound (LUS) in critically ill patients with acute respiratory distress syndrome (ARDS). MATERIALS AND METHODS: An extensive literature search was conducted using Pu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044168/ https://www.ncbi.nlm.nih.gov/pubmed/30100847 http://dx.doi.org/10.4103/sja.SJA_73_18 |
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author | Zhou, Ying Fan, Qianqian Cavus, Omer Zhang, Xuezheng |
author_facet | Zhou, Ying Fan, Qianqian Cavus, Omer Zhang, Xuezheng |
author_sort | Zhou, Ying |
collection | PubMed |
description | PURPOSE: The purpose of the study was to review and summarize current literature concerning the validation and application of lung ultrasound (LUS) in critically ill patients with acute respiratory distress syndrome (ARDS). MATERIALS AND METHODS: An extensive literature search was conducted using PubMed, Cochrane Review, Google Scholar, and Ohio State University Link based on the question if LUS should be considered a reliable investigational technique for ARDS diagnosis, treatment, and prognosis in pediatric and adult population. RESULTS: LUS has been successfully validated for facilitating early diagnosis and diagnosis of simultaneous lung conditions, predicting lung recruitment treatment effect, and evaluating the prognosis in ARDS patients. Whether lung US is a useful tool in the prediction of prone position and oxygenation response in patients with ARDS is conflicting. CONCLUSIONS: LUS is a noninvasive, radiation-free, cheap, and easy to perform tool for critically ill patients with ARDS and might be a promising technique used in the Intensive Care Unit for ARDS management. |
format | Online Article Text |
id | pubmed-6044168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-60441682018-08-10 Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients Zhou, Ying Fan, Qianqian Cavus, Omer Zhang, Xuezheng Saudi J Anaesth Review Article PURPOSE: The purpose of the study was to review and summarize current literature concerning the validation and application of lung ultrasound (LUS) in critically ill patients with acute respiratory distress syndrome (ARDS). MATERIALS AND METHODS: An extensive literature search was conducted using PubMed, Cochrane Review, Google Scholar, and Ohio State University Link based on the question if LUS should be considered a reliable investigational technique for ARDS diagnosis, treatment, and prognosis in pediatric and adult population. RESULTS: LUS has been successfully validated for facilitating early diagnosis and diagnosis of simultaneous lung conditions, predicting lung recruitment treatment effect, and evaluating the prognosis in ARDS patients. Whether lung US is a useful tool in the prediction of prone position and oxygenation response in patients with ARDS is conflicting. CONCLUSIONS: LUS is a noninvasive, radiation-free, cheap, and easy to perform tool for critically ill patients with ARDS and might be a promising technique used in the Intensive Care Unit for ARDS management. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6044168/ /pubmed/30100847 http://dx.doi.org/10.4103/sja.SJA_73_18 Text en Copyright: © 2018 Saudi Journal of Anesthesia http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Review Article Zhou, Ying Fan, Qianqian Cavus, Omer Zhang, Xuezheng Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients |
title | Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients |
title_full | Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients |
title_fullStr | Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients |
title_full_unstemmed | Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients |
title_short | Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients |
title_sort | lung ultrasound: predictor of acute respiratory distress syndrome in intensive care unit patients |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044168/ https://www.ncbi.nlm.nih.gov/pubmed/30100847 http://dx.doi.org/10.4103/sja.SJA_73_18 |
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