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Left ventricular diastolic dysfunction: identifying presence by left atrial function
OBJECTIVE: The left atrium (LA) is exposed to left ventricular pressure during diastole. Applying the 2016 American Society of Echocardiography left ventricular diastolic function (LVDF) guidelines, this study aims to investigate whether left atrial ejection fraction (LAEF) and left atrial active em...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055508/ https://www.ncbi.nlm.nih.gov/pubmed/30303678 http://dx.doi.org/10.1530/ERP-18-0013 |
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author | Worley, Emily Rana, Bushra Williams, Lynne Robinson, Shaun |
author_facet | Worley, Emily Rana, Bushra Williams, Lynne Robinson, Shaun |
author_sort | Worley, Emily |
collection | PubMed |
description | OBJECTIVE: The left atrium (LA) is exposed to left ventricular pressure during diastole. Applying the 2016 American Society of Echocardiography left ventricular diastolic function (LVDF) guidelines, this study aims to investigate whether left atrial ejection fraction (LAEF) and left atrial active emptying fraction (LAAEF) are markers of diastolic dysfunction (LVDD). METHODS: Retrospective cohort of consecutive patients (n = 124) who underwent transthoracic echocardiography were studied. Doppler peak velocities of passive (MV E) and active filling (MV A) were measured and ratio E/A calculated. Tissue Doppler imaging parameters of peak early (e′) of the septal and lateral mitral annulus were measured, and average E/e′ ratio (E/e′) was calculated. Tricuspid regurgitation velocity, left atrial maximum volume, left atrial minimum volume and LA volume pre-contraction were measured, allowing calculation of LAEF and LAAEF. Subjects were assigned LVDF categories. RESULTS: Binomial logistic regression model (X(2)(2) = 48.924, P < 0.01) determined that LAEF and LAAEF predicted diastolic dysfunction with sensitivity 85.5% and specificity 78%. ROC curves determined good diagnostic accuracy for LAEF and LAAEF to predict LVDD, AUC 0.826 and 0.861 respectively. Logistic regression model (X(2)(2) = 39.525, P < 0.01) predicted those patients with E/e′ ≥14 using LAEF and LAAEF with sensitivity 51.6% and specificity 92.4%. Moderate correlations were found between E/e′ and log derivatives of LAEF and LAAEF. CONCLUSIONS: A decline in LAAEF and LAEF is associated with worsening LVDD. |
format | Online Article Text |
id | pubmed-6055508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-60555082018-07-25 Left ventricular diastolic dysfunction: identifying presence by left atrial function Worley, Emily Rana, Bushra Williams, Lynne Robinson, Shaun Echo Res Pract Research OBJECTIVE: The left atrium (LA) is exposed to left ventricular pressure during diastole. Applying the 2016 American Society of Echocardiography left ventricular diastolic function (LVDF) guidelines, this study aims to investigate whether left atrial ejection fraction (LAEF) and left atrial active emptying fraction (LAAEF) are markers of diastolic dysfunction (LVDD). METHODS: Retrospective cohort of consecutive patients (n = 124) who underwent transthoracic echocardiography were studied. Doppler peak velocities of passive (MV E) and active filling (MV A) were measured and ratio E/A calculated. Tissue Doppler imaging parameters of peak early (e′) of the septal and lateral mitral annulus were measured, and average E/e′ ratio (E/e′) was calculated. Tricuspid regurgitation velocity, left atrial maximum volume, left atrial minimum volume and LA volume pre-contraction were measured, allowing calculation of LAEF and LAAEF. Subjects were assigned LVDF categories. RESULTS: Binomial logistic regression model (X(2)(2) = 48.924, P < 0.01) determined that LAEF and LAAEF predicted diastolic dysfunction with sensitivity 85.5% and specificity 78%. ROC curves determined good diagnostic accuracy for LAEF and LAAEF to predict LVDD, AUC 0.826 and 0.861 respectively. Logistic regression model (X(2)(2) = 39.525, P < 0.01) predicted those patients with E/e′ ≥14 using LAEF and LAAEF with sensitivity 51.6% and specificity 92.4%. Moderate correlations were found between E/e′ and log derivatives of LAEF and LAAEF. CONCLUSIONS: A decline in LAAEF and LAEF is associated with worsening LVDD. Bioscientifica Ltd 2018-07-02 /pmc/articles/PMC6055508/ /pubmed/30303678 http://dx.doi.org/10.1530/ERP-18-0013 Text en © 2018 The authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Research Worley, Emily Rana, Bushra Williams, Lynne Robinson, Shaun Left ventricular diastolic dysfunction: identifying presence by left atrial function |
title | Left ventricular diastolic dysfunction: identifying presence by left atrial function |
title_full | Left ventricular diastolic dysfunction: identifying presence by left atrial function |
title_fullStr | Left ventricular diastolic dysfunction: identifying presence by left atrial function |
title_full_unstemmed | Left ventricular diastolic dysfunction: identifying presence by left atrial function |
title_short | Left ventricular diastolic dysfunction: identifying presence by left atrial function |
title_sort | left ventricular diastolic dysfunction: identifying presence by left atrial function |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055508/ https://www.ncbi.nlm.nih.gov/pubmed/30303678 http://dx.doi.org/10.1530/ERP-18-0013 |
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