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Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments

INTRODUCTION: Accurate, continuous, left ventricular stroke volume (SV) measurements can convey large amounts of information about patient hemodynamic status and response to therapy. However, direct measurements are highly invasive in clinical practice, and current procedures for estimating SV requi...

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Autores principales: Kamoi, Shun, Pretty, Christopher, Docherty, Paul, Squire, Dougie, Revie, James, Chiew, Yeong Shiong, Desaive, Thomas, Shaw, Geoffrey M., Chase, J. Geoffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4102500/
https://www.ncbi.nlm.nih.gov/pubmed/25033442
http://dx.doi.org/10.1371/journal.pone.0102476
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author Kamoi, Shun
Pretty, Christopher
Docherty, Paul
Squire, Dougie
Revie, James
Chiew, Yeong Shiong
Desaive, Thomas
Shaw, Geoffrey M.
Chase, J. Geoffrey
author_facet Kamoi, Shun
Pretty, Christopher
Docherty, Paul
Squire, Dougie
Revie, James
Chiew, Yeong Shiong
Desaive, Thomas
Shaw, Geoffrey M.
Chase, J. Geoffrey
author_sort Kamoi, Shun
collection PubMed
description INTRODUCTION: Accurate, continuous, left ventricular stroke volume (SV) measurements can convey large amounts of information about patient hemodynamic status and response to therapy. However, direct measurements are highly invasive in clinical practice, and current procedures for estimating SV require specialized devices and significant approximation. METHOD: This study investigates the accuracy of a three element Windkessel model combined with an aortic pressure waveform to estimate SV. Aortic pressure is separated into two components capturing; 1) resistance and compliance, 2) characteristic impedance. This separation provides model-element relationships enabling SV to be estimated while requiring only one of the three element values to be known or estimated. Beat-to-beat SV estimation was performed using population-representative optimal values for each model element. This method was validated using measured SV data from porcine experiments (N = 3 female Pietrain pigs, 29–37 kg) in which both ventricular volume and aortic pressure waveforms were measured simultaneously. RESULTS: The median difference between measured SV from left ventricle (LV) output and estimated SV was 0.6 ml with a 90% range (5(th)–95(th) percentile) −12.4 ml–14.3 ml. During periods when changes in SV were induced, cross correlations in between estimated and measured SV were above R = 0.65 for all cases. CONCLUSION: The method presented demonstrates that the magnitude and trends of SV can be accurately estimated from pressure waveforms alone, without the need for identification of complex physiological metrics where strength of correlations may vary significantly from patient to patient.
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spelling pubmed-41025002014-07-21 Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments Kamoi, Shun Pretty, Christopher Docherty, Paul Squire, Dougie Revie, James Chiew, Yeong Shiong Desaive, Thomas Shaw, Geoffrey M. Chase, J. Geoffrey PLoS One Research Article INTRODUCTION: Accurate, continuous, left ventricular stroke volume (SV) measurements can convey large amounts of information about patient hemodynamic status and response to therapy. However, direct measurements are highly invasive in clinical practice, and current procedures for estimating SV require specialized devices and significant approximation. METHOD: This study investigates the accuracy of a three element Windkessel model combined with an aortic pressure waveform to estimate SV. Aortic pressure is separated into two components capturing; 1) resistance and compliance, 2) characteristic impedance. This separation provides model-element relationships enabling SV to be estimated while requiring only one of the three element values to be known or estimated. Beat-to-beat SV estimation was performed using population-representative optimal values for each model element. This method was validated using measured SV data from porcine experiments (N = 3 female Pietrain pigs, 29–37 kg) in which both ventricular volume and aortic pressure waveforms were measured simultaneously. RESULTS: The median difference between measured SV from left ventricle (LV) output and estimated SV was 0.6 ml with a 90% range (5(th)–95(th) percentile) −12.4 ml–14.3 ml. During periods when changes in SV were induced, cross correlations in between estimated and measured SV were above R = 0.65 for all cases. CONCLUSION: The method presented demonstrates that the magnitude and trends of SV can be accurately estimated from pressure waveforms alone, without the need for identification of complex physiological metrics where strength of correlations may vary significantly from patient to patient. Public Library of Science 2014-07-17 /pmc/articles/PMC4102500/ /pubmed/25033442 http://dx.doi.org/10.1371/journal.pone.0102476 Text en © 2014 Kamoi 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kamoi, Shun
Pretty, Christopher
Docherty, Paul
Squire, Dougie
Revie, James
Chiew, Yeong Shiong
Desaive, Thomas
Shaw, Geoffrey M.
Chase, J. Geoffrey
Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments
title Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments
title_full Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments
title_fullStr Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments
title_full_unstemmed Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments
title_short Continuous Stroke Volume Estimation from Aortic Pressure Using Zero Dimensional Cardiovascular Model: Proof of Concept Study from Porcine Experiments
title_sort continuous stroke volume estimation from aortic pressure using zero dimensional cardiovascular model: proof of concept study from porcine experiments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4102500/
https://www.ncbi.nlm.nih.gov/pubmed/25033442
http://dx.doi.org/10.1371/journal.pone.0102476
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