Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Ying, Fan, Qianqian, Cavus, Omer, Zhang, Xuezheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
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
_version_ 1783339430310838272
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
work_keys_str_mv AT zhouying lungultrasoundpredictorofacuterespiratorydistresssyndromeinintensivecareunitpatients
AT fanqianqian lungultrasoundpredictorofacuterespiratorydistresssyndromeinintensivecareunitpatients
AT cavusomer lungultrasoundpredictorofacuterespiratorydistresssyndromeinintensivecareunitpatients
AT zhangxuezheng lungultrasoundpredictorofacuterespiratorydistresssyndromeinintensivecareunitpatients