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Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device

AIM: The aim of this study was to evaluate the haemodynamic correlates of heart sound (HS) parameters such as third HS (S3), first HS (S1), and HS‐based systolic time intervals (HSTIs) from an implantable cardiac device. METHODS AND RESULTS: Two unique animal models (10 swine with myocardial ischaem...

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Autores principales: Thakur, Pramodsingh H., An, Qi, Swanson, Lynne, Zhang, Yi, Gardner, Roy S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695191/
https://www.ncbi.nlm.nih.gov/pubmed/29154421
http://dx.doi.org/10.1002/ehf2.12171
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author Thakur, Pramodsingh H.
An, Qi
Swanson, Lynne
Zhang, Yi
Gardner, Roy S.
author_facet Thakur, Pramodsingh H.
An, Qi
Swanson, Lynne
Zhang, Yi
Gardner, Roy S.
author_sort Thakur, Pramodsingh H.
collection PubMed
description AIM: The aim of this study was to evaluate the haemodynamic correlates of heart sound (HS) parameters such as third HS (S3), first HS (S1), and HS‐based systolic time intervals (HSTIs) from an implantable cardiac device. METHODS AND RESULTS: Two unique animal models (10 swine with myocardial ischaemia and 11 canines with pulmonary oedema) were used to evaluate haemodynamic correlates of S1, S3, and HSTIs, namely, HS‐based pre‐ejection period (HSPEP), HS‐based ejection time (HSET), and the ratio HSPEP/HSET during acute haemodynamic perturbations. The HS was measured using implanted cardiac resynchronization therapy defibrillator devices simultaneously with haemodynamic references such as left atrial (LA) pressure and left ventricular (LV) pressure. In the ischaemia model, S1 amplitude (r = 0.76 ± 0.038; P = 0.002), HSPEP (r = −0.56 ± 0.07; P = 0.002), and HSPEP/HSET (r = −0.42 ± 0.1; P = 0.002) were significantly correlated with LV dP/dt(max). In contrast, HSET was poorly correlated with LV dP/dt(max) (r = 0.14 ± 0.14; P = 0.23). In the oedema model, a physiological delayed response was observed in S3 amplitude after acute haemodynamic perturbations. After adjusting for the delay, S3 amplitude significantly correlated with LA pressure in individual animals (r = 0.71 ± 0.07; max: 0.92; min: 0.17) as well as in aggregate (r = 0.62; P < 0.001). The S3 amplitude was able to detect elevated LA pressure, defined as >25 mmHg, with a sensitivity = 58% and specificity = 90%. CONCLUSIONS: The HS parameters such as S1, S3, and HSTIs measured using implantable devices significantly correlated with haemodynamic changes in acute animal models, suggesting potential utility for remote heart failure patient monitoring.
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spelling pubmed-56951912018-02-14 Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device Thakur, Pramodsingh H. An, Qi Swanson, Lynne Zhang, Yi Gardner, Roy S. ESC Heart Fail Original Research Articles AIM: The aim of this study was to evaluate the haemodynamic correlates of heart sound (HS) parameters such as third HS (S3), first HS (S1), and HS‐based systolic time intervals (HSTIs) from an implantable cardiac device. METHODS AND RESULTS: Two unique animal models (10 swine with myocardial ischaemia and 11 canines with pulmonary oedema) were used to evaluate haemodynamic correlates of S1, S3, and HSTIs, namely, HS‐based pre‐ejection period (HSPEP), HS‐based ejection time (HSET), and the ratio HSPEP/HSET during acute haemodynamic perturbations. The HS was measured using implanted cardiac resynchronization therapy defibrillator devices simultaneously with haemodynamic references such as left atrial (LA) pressure and left ventricular (LV) pressure. In the ischaemia model, S1 amplitude (r = 0.76 ± 0.038; P = 0.002), HSPEP (r = −0.56 ± 0.07; P = 0.002), and HSPEP/HSET (r = −0.42 ± 0.1; P = 0.002) were significantly correlated with LV dP/dt(max). In contrast, HSET was poorly correlated with LV dP/dt(max) (r = 0.14 ± 0.14; P = 0.23). In the oedema model, a physiological delayed response was observed in S3 amplitude after acute haemodynamic perturbations. After adjusting for the delay, S3 amplitude significantly correlated with LA pressure in individual animals (r = 0.71 ± 0.07; max: 0.92; min: 0.17) as well as in aggregate (r = 0.62; P < 0.001). The S3 amplitude was able to detect elevated LA pressure, defined as >25 mmHg, with a sensitivity = 58% and specificity = 90%. CONCLUSIONS: The HS parameters such as S1, S3, and HSTIs measured using implantable devices significantly correlated with haemodynamic changes in acute animal models, suggesting potential utility for remote heart failure patient monitoring. John Wiley and Sons Inc. 2017-07-04 /pmc/articles/PMC5695191/ /pubmed/29154421 http://dx.doi.org/10.1002/ehf2.12171 Text en © 2017 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research Articles
Thakur, Pramodsingh H.
An, Qi
Swanson, Lynne
Zhang, Yi
Gardner, Roy S.
Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device
title Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device
title_full Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device
title_fullStr Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device
title_full_unstemmed Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device
title_short Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device
title_sort haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695191/
https://www.ncbi.nlm.nih.gov/pubmed/29154421
http://dx.doi.org/10.1002/ehf2.12171
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