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Rapid shallow breathing index
Predicting successful liberation of patients from mechanical ventilation has been a focus of interest to clinicians practicing in intensive care. Various weaning indices have been investigated to identify an optimal weaning window. Among them, the rapid shallow breathing index (RSBI) has gained wide...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966218/ https://www.ncbi.nlm.nih.gov/pubmed/27512505 http://dx.doi.org/10.4103/1817-1737.176876 |
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author | Karthika, Manjush Al Enezi, Farhan A. Pillai, Lalitha V. Arabi, Yaseen M. |
author_facet | Karthika, Manjush Al Enezi, Farhan A. Pillai, Lalitha V. Arabi, Yaseen M. |
author_sort | Karthika, Manjush |
collection | PubMed |
description | Predicting successful liberation of patients from mechanical ventilation has been a focus of interest to clinicians practicing in intensive care. Various weaning indices have been investigated to identify an optimal weaning window. Among them, the rapid shallow breathing index (RSBI) has gained wide use due to its simple technique and avoidance of calculation of complex pulmonary mechanics. Since its first description, several modifications have been suggested, such as the serial measurements and the rate of change of RSBI, to further improve its predictive value. The objective of this paper is to review the utility of RSBI in predicting weaning success. In addition, the use of RSBI in specific patient populations and the reported modifications of RSBI technique that attempt to improve the utility of RSBI are also reviewed. |
format | Online Article Text |
id | pubmed-4966218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-49662182016-08-10 Rapid shallow breathing index Karthika, Manjush Al Enezi, Farhan A. Pillai, Lalitha V. Arabi, Yaseen M. Ann Thorac Med Review Article Predicting successful liberation of patients from mechanical ventilation has been a focus of interest to clinicians practicing in intensive care. Various weaning indices have been investigated to identify an optimal weaning window. Among them, the rapid shallow breathing index (RSBI) has gained wide use due to its simple technique and avoidance of calculation of complex pulmonary mechanics. Since its first description, several modifications have been suggested, such as the serial measurements and the rate of change of RSBI, to further improve its predictive value. The objective of this paper is to review the utility of RSBI in predicting weaning success. In addition, the use of RSBI in specific patient populations and the reported modifications of RSBI technique that attempt to improve the utility of RSBI are also reviewed. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4966218/ /pubmed/27512505 http://dx.doi.org/10.4103/1817-1737.176876 Text en Copyright: © 2016 Annals of Thoracic Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Review Article Karthika, Manjush Al Enezi, Farhan A. Pillai, Lalitha V. Arabi, Yaseen M. Rapid shallow breathing index |
title | Rapid shallow breathing index |
title_full | Rapid shallow breathing index |
title_fullStr | Rapid shallow breathing index |
title_full_unstemmed | Rapid shallow breathing index |
title_short | Rapid shallow breathing index |
title_sort | rapid shallow breathing index |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966218/ https://www.ncbi.nlm.nih.gov/pubmed/27512505 http://dx.doi.org/10.4103/1817-1737.176876 |
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