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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Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/10/4/650
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spelling 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
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