Cargando…
Lung ultrasound in heart failure: Lessons from re‐analysis of Lung Ultrasound 2011 database
Introduction: In the setting of patients presenting with shortness of breath to an Emergency Department a simple lung ultrasound protocol aimed at detecting pulmonary oedema has been shown to have diagnostic accuracy of 85%. This article reviews data from the original study, in an attempt to determi...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024952/ https://www.ncbi.nlm.nih.gov/pubmed/28191236 http://dx.doi.org/10.1002/j.2205-0140.2015.tb00018.x |
_version_ | 1782453869645660160 |
---|---|
author | Baker, Kylie Mitchell, Geoffrey Thompson, Angus G Stieler, Geoffrey Rippey, James |
author_facet | Baker, Kylie Mitchell, Geoffrey Thompson, Angus G Stieler, Geoffrey Rippey, James |
author_sort | Baker, Kylie |
collection | PubMed |
description | Introduction: In the setting of patients presenting with shortness of breath to an Emergency Department a simple lung ultrasound protocol aimed at detecting pulmonary oedema has been shown to have diagnostic accuracy of 85%. This article reviews data from the original study, in an attempt to determine whether adjusting the protocol and/or interpretive criteria would improve results. Method: A large lung ultrasound project provided the dataset. Inter‐rater and intertest discrepancies were reviewed. Then original stored images and comments were retrospectively analysed using alternate interpretive criteria. Specific variations included changing the number of B‐lines required to define ‘wet lung’ and assessing other pleural line abnormalities. Where they had been acquired cardiac loops were reviewed in addition to the lung images. Results: The 204 original studies available were reviewed. Some disagreement could be attributed to inexperience and unclear definitions. Adjusting the number of B‐lines did not improve diagnostic accuracy. All positive scans, with numerous B‐lines were reviewed using more advanced diagnostic criteria (pleural line abnormalities) and the number of false positives was decreased. In cases where cardiac views were available, their inclusion was beneficial. Conclusion: A simple lung ultrasound protocol to assess for ‘wet lung’ in patients presenting to Emergency Departments provides diagnostic accuracy of around 85% in the hands of relative novices. More advanced interpretation of the same_ultrasound images, and the addition of cardiac views, is likely to further improve diagnostic accuracy. |
format | Online Article Text |
id | pubmed-5024952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50249522017-02-10 Lung ultrasound in heart failure: Lessons from re‐analysis of Lung Ultrasound 2011 database Baker, Kylie Mitchell, Geoffrey Thompson, Angus G Stieler, Geoffrey Rippey, James Australas J Ultrasound Med Original Research Introduction: In the setting of patients presenting with shortness of breath to an Emergency Department a simple lung ultrasound protocol aimed at detecting pulmonary oedema has been shown to have diagnostic accuracy of 85%. This article reviews data from the original study, in an attempt to determine whether adjusting the protocol and/or interpretive criteria would improve results. Method: A large lung ultrasound project provided the dataset. Inter‐rater and intertest discrepancies were reviewed. Then original stored images and comments were retrospectively analysed using alternate interpretive criteria. Specific variations included changing the number of B‐lines required to define ‘wet lung’ and assessing other pleural line abnormalities. Where they had been acquired cardiac loops were reviewed in addition to the lung images. Results: The 204 original studies available were reviewed. Some disagreement could be attributed to inexperience and unclear definitions. Adjusting the number of B‐lines did not improve diagnostic accuracy. All positive scans, with numerous B‐lines were reviewed using more advanced diagnostic criteria (pleural line abnormalities) and the number of false positives was decreased. In cases where cardiac views were available, their inclusion was beneficial. Conclusion: A simple lung ultrasound protocol to assess for ‘wet lung’ in patients presenting to Emergency Departments provides diagnostic accuracy of around 85% in the hands of relative novices. More advanced interpretation of the same_ultrasound images, and the addition of cardiac views, is likely to further improve diagnostic accuracy. John Wiley and Sons Inc. 2015-12-31 2015-02 /pmc/articles/PMC5024952/ /pubmed/28191236 http://dx.doi.org/10.1002/j.2205-0140.2015.tb00018.x Text en © 2015 Australasian Society for Ultrasound in Medicine |
spellingShingle | Original Research Baker, Kylie Mitchell, Geoffrey Thompson, Angus G Stieler, Geoffrey Rippey, James Lung ultrasound in heart failure: Lessons from re‐analysis of Lung Ultrasound 2011 database |
title | Lung ultrasound in heart failure: Lessons from re‐analysis of Lung Ultrasound 2011 database |
title_full | Lung ultrasound in heart failure: Lessons from re‐analysis of Lung Ultrasound 2011 database |
title_fullStr | Lung ultrasound in heart failure: Lessons from re‐analysis of Lung Ultrasound 2011 database |
title_full_unstemmed | Lung ultrasound in heart failure: Lessons from re‐analysis of Lung Ultrasound 2011 database |
title_short | Lung ultrasound in heart failure: Lessons from re‐analysis of Lung Ultrasound 2011 database |
title_sort | lung ultrasound in heart failure: lessons from re‐analysis of lung ultrasound 2011 database |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024952/ https://www.ncbi.nlm.nih.gov/pubmed/28191236 http://dx.doi.org/10.1002/j.2205-0140.2015.tb00018.x |
work_keys_str_mv | AT bakerkylie lungultrasoundinheartfailurelessonsfromreanalysisoflungultrasound2011database AT mitchellgeoffrey lungultrasoundinheartfailurelessonsfromreanalysisoflungultrasound2011database AT thompsonangusg lungultrasoundinheartfailurelessonsfromreanalysisoflungultrasound2011database AT stielergeoffrey lungultrasoundinheartfailurelessonsfromreanalysisoflungultrasound2011database AT rippeyjames lungultrasoundinheartfailurelessonsfromreanalysisoflungultrasound2011database |