The Indices of Cardiovascular Magnetic Resonance Derived Atrial Dynamics May Improve the Contemporary Risk Stratification Algorithms in Children with Hypertrophic Cardiomyopathy
Introduction: The most efficient risk stratification algorithms are expected to deliver robust and indefectible identification of high-risk children with hypertrophic cardiomyopathy (HCM). Here we compare algorithms for risk stratification in primary prevention in HCM children and investigate whethe...
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doaj-e3cd590421454a1db6568946fc698b752021-02-09T00:05:32ZengMDPI AGJournal of Clinical Medicine2077-03832021-02-011065065010.3390/jcm10040650The Indices of Cardiovascular Magnetic Resonance Derived Atrial Dynamics May Improve the Contemporary Risk Stratification Algorithms in Children with Hypertrophic CardiomyopathyLidia Ziółkowska0Łukasz Mazurkiewicz1Joanna Petryka2Monika Kowalczyk-Domagała3Agnieszka Boruc4Katarzyna Bieganowska5Elżbieta Ciara6Dorota Piekutowska-Abramczuk7Mateusz Śpiewak8Jolanta Miśko9Magdalena Marczak10Grażyna Brzezińska-Rajszys11Department of Cardiology, The Children’s Memorial Health Institute, 04-730 Warsaw, PolandCMR Unit, Department of Cardiomyopathies, National Institute of Cardiology, 04-628 Warsaw, PolandCMR Unit, Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, 04-628 Warsaw, PolandDepartment of Cardiology, The Children’s Memorial Health Institute, 04-730 Warsaw, PolandDepartment of Cardiology, The Children’s Memorial Health Institute, 04-730 Warsaw, PolandDepartment of Cardiology, The Children’s Memorial Health Institute, 04-730 Warsaw, PolandDepartment of Medical Genetics, The Children’s Memorial Health Institute, 04-628 Warsaw, PolandDepartment of Medical Genetics, The Children’s Memorial Health Institute, 04-628 Warsaw, PolandCMR Unit, National Institute of Cardiology, 04-628 Warsaw, PolandCMR Unit, National Institute of Cardiology, 04-628 Warsaw, PolandCMR Unit, National Institute of Cardiology, 04-628 Warsaw, PolandDepartment of Cardiology, The Children’s Memorial Health Institute, 04-730 Warsaw, PolandIntroduction: The most efficient risk stratification algorithms are expected to deliver robust and indefectible identification of high-risk children with hypertrophic cardiomyopathy (HCM). Here we compare algorithms for risk stratification in primary prevention in HCM children and investigate whether novel indices of biatrial performance improve these algorithms. Methods and Results: The endpoints were defined as sudden cardiac death, resuscitated cardiac arrest, or appropriate implantable cardioverter-defibrillator discharge. We examined the prognostic utility of classic American College of Cardiology/American Heart Association (ACC/AHA) risk factors, the novel HCM Risk-Kids score and the combination of these with indices of biatrial dynamics. The study consisted of 55 HCM children (mean age 12.5 ± 4.6 years, 69.1% males); seven had endpoints (four deaths, three appropriate ICD discharges). A strong trend (DeLong <i>p</i> = 0.08) was observed towards better endpoint identification performance of the HCM Risk-Kids Model compared to the ACC/AHA strategy. Adding the atrial conduit function component significantly improved the prediction capabilities of the AHA/ACC Model (DeLong <i>p</i> = 0.01) and HCM Risk-Kids algorithm (DeLong <i>p</i> = 0.04). Conclusions: The new HCM Risk-Kids individualised algorithm and score was capable of identifying high-risk children with very good accuracy. The inclusion of one of the atrial dynamic indices improved both risk stratification strategies.https://www.mdpi.com/2077-0383/10/4/650hypertrophic cardiomyopathyatrial strainoutcomerisk markers |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lidia Ziółkowska Łukasz Mazurkiewicz Joanna Petryka Monika Kowalczyk-Domagała Agnieszka Boruc Katarzyna Bieganowska Elżbieta Ciara Dorota Piekutowska-Abramczuk Mateusz Śpiewak Jolanta Miśko Magdalena Marczak Grażyna Brzezińska-Rajszys |
spellingShingle |
Lidia Ziółkowska Łukasz Mazurkiewicz Joanna Petryka Monika Kowalczyk-Domagała Agnieszka Boruc Katarzyna Bieganowska Elżbieta Ciara Dorota Piekutowska-Abramczuk Mateusz Śpiewak Jolanta Miśko Magdalena Marczak Grażyna Brzezińska-Rajszys The Indices of Cardiovascular Magnetic Resonance Derived Atrial Dynamics May Improve the Contemporary Risk Stratification Algorithms in Children with Hypertrophic Cardiomyopathy Journal of Clinical Medicine hypertrophic cardiomyopathy atrial strain outcome risk markers |
author_facet |
Lidia Ziółkowska Łukasz Mazurkiewicz Joanna Petryka Monika Kowalczyk-Domagała Agnieszka Boruc Katarzyna Bieganowska Elżbieta Ciara Dorota Piekutowska-Abramczuk Mateusz Śpiewak Jolanta Miśko Magdalena Marczak Grażyna Brzezińska-Rajszys |
author_sort |
Lidia Ziółkowska |
title |
The Indices of Cardiovascular Magnetic Resonance Derived Atrial Dynamics May Improve the Contemporary Risk Stratification Algorithms in Children with Hypertrophic Cardiomyopathy |
title_short |
The Indices of Cardiovascular Magnetic Resonance Derived Atrial Dynamics May Improve the Contemporary Risk Stratification Algorithms in Children with Hypertrophic Cardiomyopathy |
title_full |
The Indices of Cardiovascular Magnetic Resonance Derived Atrial Dynamics May Improve the Contemporary Risk Stratification Algorithms in Children with Hypertrophic Cardiomyopathy |
title_fullStr |
The Indices of Cardiovascular Magnetic Resonance Derived Atrial Dynamics May Improve the Contemporary Risk Stratification Algorithms in Children with Hypertrophic Cardiomyopathy |
title_full_unstemmed |
The Indices of Cardiovascular Magnetic Resonance Derived Atrial Dynamics May Improve the Contemporary Risk Stratification Algorithms in Children with Hypertrophic Cardiomyopathy |
title_sort |
indices of cardiovascular magnetic resonance derived atrial dynamics may improve the contemporary risk stratification algorithms in children with hypertrophic cardiomyopathy |
publisher |
MDPI AG |
series |
Journal of Clinical Medicine |
issn |
2077-0383 |
publishDate |
2021-02-01 |
description |
Introduction: The most efficient risk stratification algorithms are expected to deliver robust and indefectible identification of high-risk children with hypertrophic cardiomyopathy (HCM). Here we compare algorithms for risk stratification in primary prevention in HCM children and investigate whether novel indices of biatrial performance improve these algorithms. Methods and Results: The endpoints were defined as sudden cardiac death, resuscitated cardiac arrest, or appropriate implantable cardioverter-defibrillator discharge. We examined the prognostic utility of classic American College of Cardiology/American Heart Association (ACC/AHA) risk factors, the novel HCM Risk-Kids score and the combination of these with indices of biatrial dynamics. The study consisted of 55 HCM children (mean age 12.5 ± 4.6 years, 69.1% males); seven had endpoints (four deaths, three appropriate ICD discharges). A strong trend (DeLong <i>p</i> = 0.08) was observed towards better endpoint identification performance of the HCM Risk-Kids Model compared to the ACC/AHA strategy. Adding the atrial conduit function component significantly improved the prediction capabilities of the AHA/ACC Model (DeLong <i>p</i> = 0.01) and HCM Risk-Kids algorithm (DeLong <i>p</i> = 0.04). Conclusions: The new HCM Risk-Kids individualised algorithm and score was capable of identifying high-risk children with very good accuracy. The inclusion of one of the atrial dynamic indices improved both risk stratification strategies. |
topic |
hypertrophic cardiomyopathy atrial strain outcome risk markers |
url |
https://www.mdpi.com/2077-0383/10/4/650 |
work_keys_str_mv |
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