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Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction

BACKGROUND: Systolic left ventricular function strongly influences the blood pressure waveform. Therefore, pressure-derived parameters might potentially be used as non-invasive, diagnostic markers of left ventricular impairment. The aim of this study was to investigate the performance of pressure-ba...

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Autores principales: Hametner, Bernhard, Parragh, Stephanie, Weber, Thomas, Wassertheurer, Siegfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476286/
https://www.ncbi.nlm.nih.gov/pubmed/28628659
http://dx.doi.org/10.1371/journal.pone.0179938
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author Hametner, Bernhard
Parragh, Stephanie
Weber, Thomas
Wassertheurer, Siegfried
author_facet Hametner, Bernhard
Parragh, Stephanie
Weber, Thomas
Wassertheurer, Siegfried
author_sort Hametner, Bernhard
collection PubMed
description BACKGROUND: Systolic left ventricular function strongly influences the blood pressure waveform. Therefore, pressure-derived parameters might potentially be used as non-invasive, diagnostic markers of left ventricular impairment. The aim of this study was to investigate the performance of pressure-based parameters in combination with electrocardiography (ECG) for the detection of left ventricular systolic dysfunction defined as severely reduced ejection fraction (EF). METHODS AND RESULTS: Two populations, each comprising patients with reduced EF and pressure-matched controls, were included for the main analysis (51/102 patients) and model testing (44/88 patients). Central pressure was derived from radial readings and used to compute blood flow. Subsequently, pulse wave analysis and wave intensity analysis were performed and the ratio of the two peaks of forward intensity (SDR) was calculated as a novel index of ventricular function. SDR was significantly decreased in the reduced EF group (2.5 vs. 4.4, P<0.001), as was central pulse pressure, augmentation index and ejection duration (ED), while the QRS-duration was prolonged. SDR and ED were independent predictors of ventricular impairment and when combined with QRS in a simple decision tree, a reduced EF could be detected with a sensitivity of 92% and a specificity of 80%. The independent power of ED, SDR and QRS to predict reduced EF was furthermore confirmed in the test population. CONCLUSION: The detection or indication of reduced ejection fraction from pressure-derived parameters seems feasible. These parameters could help to improve the quality of cardiovascular risk stratification or might be used in screening strategies in the general population.
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spelling pubmed-54762862017-07-03 Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction Hametner, Bernhard Parragh, Stephanie Weber, Thomas Wassertheurer, Siegfried PLoS One Research Article BACKGROUND: Systolic left ventricular function strongly influences the blood pressure waveform. Therefore, pressure-derived parameters might potentially be used as non-invasive, diagnostic markers of left ventricular impairment. The aim of this study was to investigate the performance of pressure-based parameters in combination with electrocardiography (ECG) for the detection of left ventricular systolic dysfunction defined as severely reduced ejection fraction (EF). METHODS AND RESULTS: Two populations, each comprising patients with reduced EF and pressure-matched controls, were included for the main analysis (51/102 patients) and model testing (44/88 patients). Central pressure was derived from radial readings and used to compute blood flow. Subsequently, pulse wave analysis and wave intensity analysis were performed and the ratio of the two peaks of forward intensity (SDR) was calculated as a novel index of ventricular function. SDR was significantly decreased in the reduced EF group (2.5 vs. 4.4, P<0.001), as was central pulse pressure, augmentation index and ejection duration (ED), while the QRS-duration was prolonged. SDR and ED were independent predictors of ventricular impairment and when combined with QRS in a simple decision tree, a reduced EF could be detected with a sensitivity of 92% and a specificity of 80%. The independent power of ED, SDR and QRS to predict reduced EF was furthermore confirmed in the test population. CONCLUSION: The detection or indication of reduced ejection fraction from pressure-derived parameters seems feasible. These parameters could help to improve the quality of cardiovascular risk stratification or might be used in screening strategies in the general population. Public Library of Science 2017-06-19 /pmc/articles/PMC5476286/ /pubmed/28628659 http://dx.doi.org/10.1371/journal.pone.0179938 Text en © 2017 Hametner et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hametner, Bernhard
Parragh, Stephanie
Weber, Thomas
Wassertheurer, Siegfried
Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction
title Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction
title_full Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction
title_fullStr Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction
title_full_unstemmed Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction
title_short Wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction
title_sort wave intensity of aortic root pressure as diagnostic marker of left ventricular systolic dysfunction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476286/
https://www.ncbi.nlm.nih.gov/pubmed/28628659
http://dx.doi.org/10.1371/journal.pone.0179938
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