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Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry

AIMS: Heart failure (HF) represents a clinical syndrome resulting from different aetiologies and degrees of heart diseases. Among these, a key role is played by primary heart muscle disease (cardiomyopathies), which are the combination of multifactorial environmental insults in the presence or absen...

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Autores principales: Henkens, Michiel T.H.M., Weerts, Jerremy, Verdonschot, Job A.J., Raafs, Anne G., Stroeks, Sophia, Sikking, Maurits A., Amin, Hesam, Mourmans, Sanne G.J., Geraeds, Chrit B.G., Sanders‐van Wijk, Sandra, Barandiarán Aizpurua, Arantxa, Uszko‐Lencer, Nicole H.M.K., Krapels, Ingrid P.C., Wolffs, Petra F.G., Brunner, Han G., van Leeuwen, Rick E.W., Verhesen, Wouter, Schalla, Simon M., van Stipdonk, Antonius W.M., Knackstedt, Christian, Li, Xiaofei, Abdul Hamid, Myrurgia A., van Paassen, Pieter, Hazebroek, Mark R., Vernooy, Kevin, Brunner‐La Rocca, Hans‐Peter, van Empel, Vanessa P.M., Heymans, Stephane R.B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934928/
https://www.ncbi.nlm.nih.gov/pubmed/35118823
http://dx.doi.org/10.1002/ehf2.13833
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author Henkens, Michiel T.H.M.
Weerts, Jerremy
Verdonschot, Job A.J.
Raafs, Anne G.
Stroeks, Sophia
Sikking, Maurits A.
Amin, Hesam
Mourmans, Sanne G.J.
Geraeds, Chrit B.G.
Sanders‐van Wijk, Sandra
Barandiarán Aizpurua, Arantxa
Uszko‐Lencer, Nicole H.M.K.
Krapels, Ingrid P.C.
Wolffs, Petra F.G.
Brunner, Han G.
van Leeuwen, Rick E.W.
Verhesen, Wouter
Schalla, Simon M.
van Stipdonk, Antonius W.M.
Knackstedt, Christian
Li, Xiaofei
Abdul Hamid, Myrurgia A.
van Paassen, Pieter
Hazebroek, Mark R.
Vernooy, Kevin
Brunner‐La Rocca, Hans‐Peter
van Empel, Vanessa P.M.
Heymans, Stephane R.B.
author_facet Henkens, Michiel T.H.M.
Weerts, Jerremy
Verdonschot, Job A.J.
Raafs, Anne G.
Stroeks, Sophia
Sikking, Maurits A.
Amin, Hesam
Mourmans, Sanne G.J.
Geraeds, Chrit B.G.
Sanders‐van Wijk, Sandra
Barandiarán Aizpurua, Arantxa
Uszko‐Lencer, Nicole H.M.K.
Krapels, Ingrid P.C.
Wolffs, Petra F.G.
Brunner, Han G.
van Leeuwen, Rick E.W.
Verhesen, Wouter
Schalla, Simon M.
van Stipdonk, Antonius W.M.
Knackstedt, Christian
Li, Xiaofei
Abdul Hamid, Myrurgia A.
van Paassen, Pieter
Hazebroek, Mark R.
Vernooy, Kevin
Brunner‐La Rocca, Hans‐Peter
van Empel, Vanessa P.M.
Heymans, Stephane R.B.
author_sort Henkens, Michiel T.H.M.
collection PubMed
description AIMS: Heart failure (HF) represents a clinical syndrome resulting from different aetiologies and degrees of heart diseases. Among these, a key role is played by primary heart muscle disease (cardiomyopathies), which are the combination of multifactorial environmental insults in the presence or absence of a known genetic predisposition. The aim of the Maastricht Cardiomyopathy registry (mCMP‐registry; NCT04976348) is to improve (early) diagnosis, risk stratification, and management of cardiomyopathy phenotypes beyond the limits of left ventricular ejection fraction (LVEF). METHODS AND RESULTS: The mCMP‐registry is an investigator‐initiated prospective registry including patient characteristics, diagnostic measurements performed as part of routine clinical care, treatment information, sequential biobanking, quality of life and economic impact assessment, and regular follow‐up. All subjects aged ≥16 years referred to the cardiology department of the Maastricht University Medical Center (MUMC+) for HF‐like symptoms or cardiac screening for cardiomyopathies are eligible for inclusion, irrespective of phenotype or underlying causes. Informed consented subjects will be followed up for 15 years. Two central approaches will be used to answer the research questions related to the aims of this registry: (i) a data‐driven approach to predict clinical outcome and response to therapy and to identify clusters of patients who share underlying pathophysiological processes; and (ii) a hypothesis‐driven approach in which clinical parameters are tested for their (incremental) diagnostic, prognostic, or therapeutic value. The study allows other centres to easily join this initiative, which will further boost research within this field. CONCLUSIONS: The broad inclusion criteria, systematic routine clinical care data‐collection, extensive study‐related data‐collection, sequential biobanking, and multi‐disciplinary approach gives the mCMP‐registry a unique opportunity to improve diagnosis, risk stratification, and management of HF and (early) cardiomyopathy phenotypes beyond the LVEF limits.
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spelling pubmed-89349282022-03-24 Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry Henkens, Michiel T.H.M. Weerts, Jerremy Verdonschot, Job A.J. Raafs, Anne G. Stroeks, Sophia Sikking, Maurits A. Amin, Hesam Mourmans, Sanne G.J. Geraeds, Chrit B.G. Sanders‐van Wijk, Sandra Barandiarán Aizpurua, Arantxa Uszko‐Lencer, Nicole H.M.K. Krapels, Ingrid P.C. Wolffs, Petra F.G. Brunner, Han G. van Leeuwen, Rick E.W. Verhesen, Wouter Schalla, Simon M. van Stipdonk, Antonius W.M. Knackstedt, Christian Li, Xiaofei Abdul Hamid, Myrurgia A. van Paassen, Pieter Hazebroek, Mark R. Vernooy, Kevin Brunner‐La Rocca, Hans‐Peter van Empel, Vanessa P.M. Heymans, Stephane R.B. ESC Heart Fail Study Design AIMS: Heart failure (HF) represents a clinical syndrome resulting from different aetiologies and degrees of heart diseases. Among these, a key role is played by primary heart muscle disease (cardiomyopathies), which are the combination of multifactorial environmental insults in the presence or absence of a known genetic predisposition. The aim of the Maastricht Cardiomyopathy registry (mCMP‐registry; NCT04976348) is to improve (early) diagnosis, risk stratification, and management of cardiomyopathy phenotypes beyond the limits of left ventricular ejection fraction (LVEF). METHODS AND RESULTS: The mCMP‐registry is an investigator‐initiated prospective registry including patient characteristics, diagnostic measurements performed as part of routine clinical care, treatment information, sequential biobanking, quality of life and economic impact assessment, and regular follow‐up. All subjects aged ≥16 years referred to the cardiology department of the Maastricht University Medical Center (MUMC+) for HF‐like symptoms or cardiac screening for cardiomyopathies are eligible for inclusion, irrespective of phenotype or underlying causes. Informed consented subjects will be followed up for 15 years. Two central approaches will be used to answer the research questions related to the aims of this registry: (i) a data‐driven approach to predict clinical outcome and response to therapy and to identify clusters of patients who share underlying pathophysiological processes; and (ii) a hypothesis‐driven approach in which clinical parameters are tested for their (incremental) diagnostic, prognostic, or therapeutic value. The study allows other centres to easily join this initiative, which will further boost research within this field. CONCLUSIONS: The broad inclusion criteria, systematic routine clinical care data‐collection, extensive study‐related data‐collection, sequential biobanking, and multi‐disciplinary approach gives the mCMP‐registry a unique opportunity to improve diagnosis, risk stratification, and management of HF and (early) cardiomyopathy phenotypes beyond the LVEF limits. John Wiley and Sons Inc. 2022-02-04 /pmc/articles/PMC8934928/ /pubmed/35118823 http://dx.doi.org/10.1002/ehf2.13833 Text en © 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://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 Study Design
Henkens, Michiel T.H.M.
Weerts, Jerremy
Verdonschot, Job A.J.
Raafs, Anne G.
Stroeks, Sophia
Sikking, Maurits A.
Amin, Hesam
Mourmans, Sanne G.J.
Geraeds, Chrit B.G.
Sanders‐van Wijk, Sandra
Barandiarán Aizpurua, Arantxa
Uszko‐Lencer, Nicole H.M.K.
Krapels, Ingrid P.C.
Wolffs, Petra F.G.
Brunner, Han G.
van Leeuwen, Rick E.W.
Verhesen, Wouter
Schalla, Simon M.
van Stipdonk, Antonius W.M.
Knackstedt, Christian
Li, Xiaofei
Abdul Hamid, Myrurgia A.
van Paassen, Pieter
Hazebroek, Mark R.
Vernooy, Kevin
Brunner‐La Rocca, Hans‐Peter
van Empel, Vanessa P.M.
Heymans, Stephane R.B.
Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry
title Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry
title_full Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry
title_fullStr Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry
title_full_unstemmed Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry
title_short Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry
title_sort improving diagnosis and risk stratification across the ejection fraction spectrum: the maastricht cardiomyopathy registry
topic Study Design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934928/
https://www.ncbi.nlm.nih.gov/pubmed/35118823
http://dx.doi.org/10.1002/ehf2.13833
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