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Clinical utility of semi-automated estimation of ejection fraction at the point-of-care
INTRODUCTION: To compare estimation of ejection fraction at the bedside by AutoEF compared with conventional methods and to assess feasibility and time consumption. METHODS: A total of 102 relatively hemodynanically stable mixed medical and surgical patients were included. All patients underwent ult...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
EDIMES Edizioni Internazionali Srl
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593021/ https://www.ncbi.nlm.nih.gov/pubmed/26495266 |
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author | Frederiksen, Christian Alcaraz Juhl-Olsen, Peter Hermansen, Johan Fridolf Andersen, Niels Holmark Sloth, Erik |
author_facet | Frederiksen, Christian Alcaraz Juhl-Olsen, Peter Hermansen, Johan Fridolf Andersen, Niels Holmark Sloth, Erik |
author_sort | Frederiksen, Christian Alcaraz |
collection | PubMed |
description | INTRODUCTION: To compare estimation of ejection fraction at the bedside by AutoEF compared with conventional methods and to assess feasibility and time consumption. METHODS: A total of 102 relatively hemodynanically stable mixed medical and surgical patients were included. All patients underwent ultrasonography of the heart at the bedside performed by a novice examiner. Three assessments of ejection fraction were made: 1) Expert eyeballing by a single specialist in cardiology and expert in echocardiography; 2) Manual planimetry by an experienced examiner; 3) AutoEF by a novice examiner with limited experience in echocardiography. RESULTS: Expert eyeballing of ejection fraction was performed in 100% of cases. Manual planimetry was possible in 89% of cases and AutoEF was possible in 83% of cases. The correlation between expert eyeballing and AutoEF was r=0.82, p < 0.001, for manual planimetry and for AutoEF it was r=0.82, p < 0.001; for expert eyeballing and manual planimetry it was r=0.80, p < 0.001. The mean time consumption for manual planimetry was 98 ( 90-106 ) seconds; correspondingly the mean time spent for AutoEF was 41 ( 36-46 ) seconds, which was significantly less (p < 0.001). CONCLUSIONS: AutoEF seems to be a valid supplement to the clinical assessment of ejection fraction in the hands of less experienced examiners, yielding result similar to manual planimetry with less time consumption and less intra-observer variability. However, manual editing may be required and training is thus recommended before AutoEF is applicable for use by novices. |
format | Online Article Text |
id | pubmed-4593021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | EDIMES Edizioni Internazionali Srl |
record_format | MEDLINE/PubMed |
spelling | pubmed-45930212015-10-22 Clinical utility of semi-automated estimation of ejection fraction at the point-of-care Frederiksen, Christian Alcaraz Juhl-Olsen, Peter Hermansen, Johan Fridolf Andersen, Niels Holmark Sloth, Erik Heart Lung Vessel Research-Article INTRODUCTION: To compare estimation of ejection fraction at the bedside by AutoEF compared with conventional methods and to assess feasibility and time consumption. METHODS: A total of 102 relatively hemodynanically stable mixed medical and surgical patients were included. All patients underwent ultrasonography of the heart at the bedside performed by a novice examiner. Three assessments of ejection fraction were made: 1) Expert eyeballing by a single specialist in cardiology and expert in echocardiography; 2) Manual planimetry by an experienced examiner; 3) AutoEF by a novice examiner with limited experience in echocardiography. RESULTS: Expert eyeballing of ejection fraction was performed in 100% of cases. Manual planimetry was possible in 89% of cases and AutoEF was possible in 83% of cases. The correlation between expert eyeballing and AutoEF was r=0.82, p < 0.001, for manual planimetry and for AutoEF it was r=0.82, p < 0.001; for expert eyeballing and manual planimetry it was r=0.80, p < 0.001. The mean time consumption for manual planimetry was 98 ( 90-106 ) seconds; correspondingly the mean time spent for AutoEF was 41 ( 36-46 ) seconds, which was significantly less (p < 0.001). CONCLUSIONS: AutoEF seems to be a valid supplement to the clinical assessment of ejection fraction in the hands of less experienced examiners, yielding result similar to manual planimetry with less time consumption and less intra-observer variability. However, manual editing may be required and training is thus recommended before AutoEF is applicable for use by novices. EDIMES Edizioni Internazionali Srl 2015 /pmc/articles/PMC4593021/ /pubmed/26495266 Text en Copyright © 2015, Heart, Lung and Vessels http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research-Article Frederiksen, Christian Alcaraz Juhl-Olsen, Peter Hermansen, Johan Fridolf Andersen, Niels Holmark Sloth, Erik Clinical utility of semi-automated estimation of ejection fraction at the point-of-care |
title | Clinical utility of semi-automated estimation of ejection fraction at the point-of-care |
title_full | Clinical utility of semi-automated estimation of ejection fraction at the point-of-care |
title_fullStr | Clinical utility of semi-automated estimation of ejection fraction at the point-of-care |
title_full_unstemmed | Clinical utility of semi-automated estimation of ejection fraction at the point-of-care |
title_short | Clinical utility of semi-automated estimation of ejection fraction at the point-of-care |
title_sort | clinical utility of semi-automated estimation of ejection fraction at the point-of-care |
topic | Research-Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593021/ https://www.ncbi.nlm.nih.gov/pubmed/26495266 |
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