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Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy

AIMS: The aim of this study was to evaluate the prognostic value of feature tracking (FT) derived cardiac magnetic resonance (CMR) strain parameters of the left ventricle (LV)/right ventricle (RV) in ischaemic cardiomyopathy (ICM) patients treated with an implantable cardioverter‐defibrillator (ICD)...

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Autores principales: Overhoff, Daniel, Ansari, Uzair, Hohneck, Anna, Tülümen, Erol, Rudic, Boris, Kuschyk, Jürgen, Lossnitzer, Dirk, Baumann, Stefan, Froelich, Matthias F., Waldeck, Stephan, Akin, Ibrahim, Borggrefe, Martin, Schoenberg, Stefan O., Papavassiliu, Theano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788051/
https://www.ncbi.nlm.nih.gov/pubmed/34818694
http://dx.doi.org/10.1002/ehf2.13712
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author Overhoff, Daniel
Ansari, Uzair
Hohneck, Anna
Tülümen, Erol
Rudic, Boris
Kuschyk, Jürgen
Lossnitzer, Dirk
Baumann, Stefan
Froelich, Matthias F.
Waldeck, Stephan
Akin, Ibrahim
Borggrefe, Martin
Schoenberg, Stefan O.
Papavassiliu, Theano
author_facet Overhoff, Daniel
Ansari, Uzair
Hohneck, Anna
Tülümen, Erol
Rudic, Boris
Kuschyk, Jürgen
Lossnitzer, Dirk
Baumann, Stefan
Froelich, Matthias F.
Waldeck, Stephan
Akin, Ibrahim
Borggrefe, Martin
Schoenberg, Stefan O.
Papavassiliu, Theano
author_sort Overhoff, Daniel
collection PubMed
description AIMS: The aim of this study was to evaluate the prognostic value of feature tracking (FT) derived cardiac magnetic resonance (CMR) strain parameters of the left ventricle (LV)/right ventricle (RV) in ischaemic cardiomyopathy (ICM) patients treated with an implantable cardioverter‐defibrillator (ICD). Current guidelines suggest a LV‐ejection fraction ≤35% as major criterion for ICD implantation in ICM, but this is a poor predictor for arrhythmic events. Supplementary parameters are missing. METHODS AND RESULTS: Ischaemic cardiomyopathy patients (n = 242), who underwent CMR imaging prior to primary and secondary implantation of ICD, were classified depending on EF ≤ 35% (n = 188) or >35% (n = 54). FT parameters were derived from steady‐state free precession cine views using dedicated software. The primary endpoint was a composite of cardiovascular mortality (CVM) and/or appropriate ICD therapy. There were no significant differences in FT‐function or LV‐/RV‐function parameters in patients with an EF ≤ 35% correlating to the primary endpoint. In patients with EF > 35%, standard CMR functional parameters, such as LV‐EF, did not reveal significant differences. However, significant differences in most FT parameters correlating to the primary endpoint were observed in this subgroup. LV‐GLS (left ventricular‐global longitudinal strain) and RV‐GRS (right ventricular‐global radial strain) revealed the best diagnostic performance in ROC curve analysis. The combination of LV‐GLS and RV‐GRS showed a sensitivity of 85% and a specificity of 76% for the prediction of future events. CONCLUSIONS: The impact of FT derived measurements in the risk stratification of patients with ICM depends on LV function. The combination of LV‐GLS/RV‐GRS seems to be a predictor of cardiovascular mortality and/or appropriate ICD therapy in patients with EF > 35%.
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spelling pubmed-87880512022-01-31 Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy Overhoff, Daniel Ansari, Uzair Hohneck, Anna Tülümen, Erol Rudic, Boris Kuschyk, Jürgen Lossnitzer, Dirk Baumann, Stefan Froelich, Matthias F. Waldeck, Stephan Akin, Ibrahim Borggrefe, Martin Schoenberg, Stefan O. Papavassiliu, Theano ESC Heart Fail Original Articles AIMS: The aim of this study was to evaluate the prognostic value of feature tracking (FT) derived cardiac magnetic resonance (CMR) strain parameters of the left ventricle (LV)/right ventricle (RV) in ischaemic cardiomyopathy (ICM) patients treated with an implantable cardioverter‐defibrillator (ICD). Current guidelines suggest a LV‐ejection fraction ≤35% as major criterion for ICD implantation in ICM, but this is a poor predictor for arrhythmic events. Supplementary parameters are missing. METHODS AND RESULTS: Ischaemic cardiomyopathy patients (n = 242), who underwent CMR imaging prior to primary and secondary implantation of ICD, were classified depending on EF ≤ 35% (n = 188) or >35% (n = 54). FT parameters were derived from steady‐state free precession cine views using dedicated software. The primary endpoint was a composite of cardiovascular mortality (CVM) and/or appropriate ICD therapy. There were no significant differences in FT‐function or LV‐/RV‐function parameters in patients with an EF ≤ 35% correlating to the primary endpoint. In patients with EF > 35%, standard CMR functional parameters, such as LV‐EF, did not reveal significant differences. However, significant differences in most FT parameters correlating to the primary endpoint were observed in this subgroup. LV‐GLS (left ventricular‐global longitudinal strain) and RV‐GRS (right ventricular‐global radial strain) revealed the best diagnostic performance in ROC curve analysis. The combination of LV‐GLS and RV‐GRS showed a sensitivity of 85% and a specificity of 76% for the prediction of future events. CONCLUSIONS: The impact of FT derived measurements in the risk stratification of patients with ICM depends on LV function. The combination of LV‐GLS/RV‐GRS seems to be a predictor of cardiovascular mortality and/or appropriate ICD therapy in patients with EF > 35%. John Wiley and Sons Inc. 2021-11-24 /pmc/articles/PMC8788051/ /pubmed/34818694 http://dx.doi.org/10.1002/ehf2.13712 Text en © 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Overhoff, Daniel
Ansari, Uzair
Hohneck, Anna
Tülümen, Erol
Rudic, Boris
Kuschyk, Jürgen
Lossnitzer, Dirk
Baumann, Stefan
Froelich, Matthias F.
Waldeck, Stephan
Akin, Ibrahim
Borggrefe, Martin
Schoenberg, Stefan O.
Papavassiliu, Theano
Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy
title Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy
title_full Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy
title_fullStr Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy
title_full_unstemmed Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy
title_short Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy
title_sort prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788051/
https://www.ncbi.nlm.nih.gov/pubmed/34818694
http://dx.doi.org/10.1002/ehf2.13712
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