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Decision support for assessment of left ventricular diastolic function
Echocardiographic assessment of the left ventricular diastolic function (LVDF), an integrated part of evaluation of left ventricular function is still a delicate task and is performed with substantial inter‐rater variability. Therefore, we aimed to create and evaluate a guidelines‐based automated de...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6100506/ https://www.ncbi.nlm.nih.gov/pubmed/30125045 http://dx.doi.org/10.14814/phy2.13815 |
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author | Tamás, Éva Nylander, Eva |
author_facet | Tamás, Éva Nylander, Eva |
author_sort | Tamás, Éva |
collection | PubMed |
description | Echocardiographic assessment of the left ventricular diastolic function (LVDF), an integrated part of evaluation of left ventricular function is still a delicate task and is performed with substantial inter‐rater variability. Therefore, we aimed to create and evaluate a guidelines‐based automated decision support. An algorithm was created for a hierarchical analysis of LVDF based on variables as recommended by the latest guidelines. Age‐adjusted normal ranges were pooled from previously published studies into an integrated reference table. For proof‐of‐concept, 20 echocardiographic examinations were analyzed offline by four experienced physicians with more than 10 years of echocardiographic experience. The first assessments were to be performed as they would be in the clinical practice. Six months later, the assessments were repeated based on the 2017 ASE/EACVI guidelines. The overall inter‐rater agreement for the first clinical assessments was moderate, while the guidelines‐based assessments had only fair inter‐rater agreement. Both kinds of manual assessment had poor agreement with the standardized automated assessment algorithm of LVDF. In conclusion, the presented automated decision support for evaluation of diastolic LV function by Doppler echocardiography is mainly based on current guidelines involving multiple parameters in combination. Incorporating age dependency aspects in our program (available for use at https://liu.se/en/research/left-ventricular-diastolic-function-decision-support) enhances the accuracy of the evaluation and reduces variability in evaluation of LVDF. The large inter‐rater variation in classification in this study also underscores the usefulness of tools to support a standardized evaluation. |
format | Online Article Text |
id | pubmed-6100506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61005062018-08-27 Decision support for assessment of left ventricular diastolic function Tamás, Éva Nylander, Eva Physiol Rep Original Reseacrh Echocardiographic assessment of the left ventricular diastolic function (LVDF), an integrated part of evaluation of left ventricular function is still a delicate task and is performed with substantial inter‐rater variability. Therefore, we aimed to create and evaluate a guidelines‐based automated decision support. An algorithm was created for a hierarchical analysis of LVDF based on variables as recommended by the latest guidelines. Age‐adjusted normal ranges were pooled from previously published studies into an integrated reference table. For proof‐of‐concept, 20 echocardiographic examinations were analyzed offline by four experienced physicians with more than 10 years of echocardiographic experience. The first assessments were to be performed as they would be in the clinical practice. Six months later, the assessments were repeated based on the 2017 ASE/EACVI guidelines. The overall inter‐rater agreement for the first clinical assessments was moderate, while the guidelines‐based assessments had only fair inter‐rater agreement. Both kinds of manual assessment had poor agreement with the standardized automated assessment algorithm of LVDF. In conclusion, the presented automated decision support for evaluation of diastolic LV function by Doppler echocardiography is mainly based on current guidelines involving multiple parameters in combination. Incorporating age dependency aspects in our program (available for use at https://liu.se/en/research/left-ventricular-diastolic-function-decision-support) enhances the accuracy of the evaluation and reduces variability in evaluation of LVDF. The large inter‐rater variation in classification in this study also underscores the usefulness of tools to support a standardized evaluation. John Wiley and Sons Inc. 2018-08-20 /pmc/articles/PMC6100506/ /pubmed/30125045 http://dx.doi.org/10.14814/phy2.13815 Text en © 2018 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Reseacrh Tamás, Éva Nylander, Eva Decision support for assessment of left ventricular diastolic function |
title | Decision support for assessment of left ventricular diastolic function |
title_full | Decision support for assessment of left ventricular diastolic function |
title_fullStr | Decision support for assessment of left ventricular diastolic function |
title_full_unstemmed | Decision support for assessment of left ventricular diastolic function |
title_short | Decision support for assessment of left ventricular diastolic function |
title_sort | decision support for assessment of left ventricular diastolic function |
topic | Original Reseacrh |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6100506/ https://www.ncbi.nlm.nih.gov/pubmed/30125045 http://dx.doi.org/10.14814/phy2.13815 |
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