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Myocardial Work Assessment for the Prediction of Prognosis in Advanced Heart Failure
Objectives: The aim of this study was to investigate whether echocardiographic assessment of myocardial work is a predictor of outcome in advanced heart failure. Background: Global work index (GWI) and global constructive work (GCW) are calculated by means of speckle tracking, blood pressure measure...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249920/ https://www.ncbi.nlm.nih.gov/pubmed/34222382 http://dx.doi.org/10.3389/fcvm.2021.691611 |
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author | Hedwig, Felix Nemchyna, Olena Stein, Julia Knosalla, Christoph Merke, Nicolas Knebel, Fabian Hagendorff, Andreas Schoenrath, Felix Falk, Volkmar Knierim, Jan |
author_facet | Hedwig, Felix Nemchyna, Olena Stein, Julia Knosalla, Christoph Merke, Nicolas Knebel, Fabian Hagendorff, Andreas Schoenrath, Felix Falk, Volkmar Knierim, Jan |
author_sort | Hedwig, Felix |
collection | PubMed |
description | Objectives: The aim of this study was to investigate whether echocardiographic assessment of myocardial work is a predictor of outcome in advanced heart failure. Background: Global work index (GWI) and global constructive work (GCW) are calculated by means of speckle tracking, blood pressure measurement, and a normalized reference curve. Their prognostic value in advanced heart failure is unknown. Methods: Cardiopulmonary exercise testing and echocardiography with assessment of GWI and GCW was performed in patients with advanced heart failure caused by ischemic heart disease or dilated cardiomyopathy (n = 105). They were then followed up repeatedly. The combined endpoint was all-cause death, implantation of a left ventricular assist device, or heart transplantation. Results: The median patient age was 54 years (interquartile range [IQR]: 48–59.9). The mean left ventricular ejection fraction was 27.8 ± 8.2%, the median NT-proBNP was 1,210 pg/ml (IQR: 435–3,696). The mean GWI was 603 ± 329 mmHg% and the mean GCW was 742 ± 363 mmHg%. The correlation between peak oxygen uptake and GWI as well as GCW was strongest in patients with ischemic cardiomyopathy (r = 0.56, p = 0.001 and r = 0.53, p = 0.001, respectively). The median follow-up was 16 months (IQR: 12–18.5). Thirty one patients met the combined endpoint: Four patients died, eight underwent transplantation, and 19 underwent implantation of a left ventricular assist device. In the multivariate Cox regression analysis, only NYHA class, NT-proBNP and GWI (hazard ratio [HR] for every 50 mmHg%: 0.85; 95% CI: 0.77–0.94; p = 0.002) as well as GCW (HR for every 50 mmHg%: 0.86; 95% CI: 0.79–0.94; p = 0.001) were identified as independent predictors of the endpoint. The cut-off value for predicting the outcome was 455 mmHg% for GWI (AUC: 0.80; p < 0.0001; sensitivity 77.4%; specificity 71.6%) and 530 mmHg% for GCW (AUC: 0.80; p < 0.0001; sensitivity 74.2%; specificity 78.4%). Conclusions: GWI and GCW are powerful predictors of outcome in patients with advanced heart failure. |
format | Online Article Text |
id | pubmed-8249920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82499202021-07-03 Myocardial Work Assessment for the Prediction of Prognosis in Advanced Heart Failure Hedwig, Felix Nemchyna, Olena Stein, Julia Knosalla, Christoph Merke, Nicolas Knebel, Fabian Hagendorff, Andreas Schoenrath, Felix Falk, Volkmar Knierim, Jan Front Cardiovasc Med Cardiovascular Medicine Objectives: The aim of this study was to investigate whether echocardiographic assessment of myocardial work is a predictor of outcome in advanced heart failure. Background: Global work index (GWI) and global constructive work (GCW) are calculated by means of speckle tracking, blood pressure measurement, and a normalized reference curve. Their prognostic value in advanced heart failure is unknown. Methods: Cardiopulmonary exercise testing and echocardiography with assessment of GWI and GCW was performed in patients with advanced heart failure caused by ischemic heart disease or dilated cardiomyopathy (n = 105). They were then followed up repeatedly. The combined endpoint was all-cause death, implantation of a left ventricular assist device, or heart transplantation. Results: The median patient age was 54 years (interquartile range [IQR]: 48–59.9). The mean left ventricular ejection fraction was 27.8 ± 8.2%, the median NT-proBNP was 1,210 pg/ml (IQR: 435–3,696). The mean GWI was 603 ± 329 mmHg% and the mean GCW was 742 ± 363 mmHg%. The correlation between peak oxygen uptake and GWI as well as GCW was strongest in patients with ischemic cardiomyopathy (r = 0.56, p = 0.001 and r = 0.53, p = 0.001, respectively). The median follow-up was 16 months (IQR: 12–18.5). Thirty one patients met the combined endpoint: Four patients died, eight underwent transplantation, and 19 underwent implantation of a left ventricular assist device. In the multivariate Cox regression analysis, only NYHA class, NT-proBNP and GWI (hazard ratio [HR] for every 50 mmHg%: 0.85; 95% CI: 0.77–0.94; p = 0.002) as well as GCW (HR for every 50 mmHg%: 0.86; 95% CI: 0.79–0.94; p = 0.001) were identified as independent predictors of the endpoint. The cut-off value for predicting the outcome was 455 mmHg% for GWI (AUC: 0.80; p < 0.0001; sensitivity 77.4%; specificity 71.6%) and 530 mmHg% for GCW (AUC: 0.80; p < 0.0001; sensitivity 74.2%; specificity 78.4%). Conclusions: GWI and GCW are powerful predictors of outcome in patients with advanced heart failure. Frontiers Media S.A. 2021-06-18 /pmc/articles/PMC8249920/ /pubmed/34222382 http://dx.doi.org/10.3389/fcvm.2021.691611 Text en Copyright © 2021 Hedwig, Nemchyna, Stein, Knosalla, Merke, Knebel, Hagendorff, Schoenrath, Falk and Knierim. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Hedwig, Felix Nemchyna, Olena Stein, Julia Knosalla, Christoph Merke, Nicolas Knebel, Fabian Hagendorff, Andreas Schoenrath, Felix Falk, Volkmar Knierim, Jan Myocardial Work Assessment for the Prediction of Prognosis in Advanced Heart Failure |
title | Myocardial Work Assessment for the Prediction of Prognosis in Advanced Heart Failure |
title_full | Myocardial Work Assessment for the Prediction of Prognosis in Advanced Heart Failure |
title_fullStr | Myocardial Work Assessment for the Prediction of Prognosis in Advanced Heart Failure |
title_full_unstemmed | Myocardial Work Assessment for the Prediction of Prognosis in Advanced Heart Failure |
title_short | Myocardial Work Assessment for the Prediction of Prognosis in Advanced Heart Failure |
title_sort | myocardial work assessment for the prediction of prognosis in advanced heart failure |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249920/ https://www.ncbi.nlm.nih.gov/pubmed/34222382 http://dx.doi.org/10.3389/fcvm.2021.691611 |
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