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Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance

BACKGROUND: The aim of this paper was to establish a minimally invasive method for deriving the left ventricular time varying elastance (TVE) curve beat-by-beat, the monitoring of which’s inter-beat evolution could add significant new data and insight to improve diagnosis and treatment. The method d...

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Autores principales: Davidson, Shaun, Pretty, Chris, Pironet, Antoine, Kamoi, Shun, Balmer, Joel, Desaive, Thomas, Chase, J. Geoffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390429/
https://www.ncbi.nlm.nih.gov/pubmed/28407773
http://dx.doi.org/10.1186/s12938-017-0338-7
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author Davidson, Shaun
Pretty, Chris
Pironet, Antoine
Kamoi, Shun
Balmer, Joel
Desaive, Thomas
Chase, J. Geoffrey
author_facet Davidson, Shaun
Pretty, Chris
Pironet, Antoine
Kamoi, Shun
Balmer, Joel
Desaive, Thomas
Chase, J. Geoffrey
author_sort Davidson, Shaun
collection PubMed
description BACKGROUND: The aim of this paper was to establish a minimally invasive method for deriving the left ventricular time varying elastance (TVE) curve beat-by-beat, the monitoring of which’s inter-beat evolution could add significant new data and insight to improve diagnosis and treatment. The method developed uses the clinically available inputs of aortic pressure, heart rate and baseline end-systolic volume (via echocardiography) to determine the outputs of left ventricular pressure, volume and dead space volume, and thus the TVE curve. This approach avoids directly assuming the shape of the TVE curve, allowing more effective capture of intra- and inter-patient variability. RESULTS: The resulting TVE curve was experimentally validated against the TVE curve as derived from experimentally measured left ventricular pressure and volume in animal models, a data set encompassing 46,318 heartbeats across 5 Piétrain pigs. This simulated TVE curve was able to effectively approximate the measured TVE curve, with an overall median absolute error of 11.4% and overall median signed error of −2.5%. CONCLUSIONS: The use of clinically available inputs means there is potential for real-time implementation of the method at the patient bedside. Thus the method could be used to provide additional, patient specific information on intra- and inter-beat variation in heart function. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-017-0338-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-53904292017-04-14 Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance Davidson, Shaun Pretty, Chris Pironet, Antoine Kamoi, Shun Balmer, Joel Desaive, Thomas Chase, J. Geoffrey Biomed Eng Online Research BACKGROUND: The aim of this paper was to establish a minimally invasive method for deriving the left ventricular time varying elastance (TVE) curve beat-by-beat, the monitoring of which’s inter-beat evolution could add significant new data and insight to improve diagnosis and treatment. The method developed uses the clinically available inputs of aortic pressure, heart rate and baseline end-systolic volume (via echocardiography) to determine the outputs of left ventricular pressure, volume and dead space volume, and thus the TVE curve. This approach avoids directly assuming the shape of the TVE curve, allowing more effective capture of intra- and inter-patient variability. RESULTS: The resulting TVE curve was experimentally validated against the TVE curve as derived from experimentally measured left ventricular pressure and volume in animal models, a data set encompassing 46,318 heartbeats across 5 Piétrain pigs. This simulated TVE curve was able to effectively approximate the measured TVE curve, with an overall median absolute error of 11.4% and overall median signed error of −2.5%. CONCLUSIONS: The use of clinically available inputs means there is potential for real-time implementation of the method at the patient bedside. Thus the method could be used to provide additional, patient specific information on intra- and inter-beat variation in heart function. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-017-0338-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-13 /pmc/articles/PMC5390429/ /pubmed/28407773 http://dx.doi.org/10.1186/s12938-017-0338-7 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Davidson, Shaun
Pretty, Chris
Pironet, Antoine
Kamoi, Shun
Balmer, Joel
Desaive, Thomas
Chase, J. Geoffrey
Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance
title Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance
title_full Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance
title_fullStr Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance
title_full_unstemmed Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance
title_short Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance
title_sort minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390429/
https://www.ncbi.nlm.nih.gov/pubmed/28407773
http://dx.doi.org/10.1186/s12938-017-0338-7
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