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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...

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Autores principales: Frederiksen, Christian Alcaraz, Juhl-Olsen, Peter, Hermansen, Johan Fridolf, Andersen, Niels Holmark, Sloth, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: EDIMES Edizioni Internazionali Srl 2015
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.
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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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