Identification of clinically relevant phenotypes in patients with Ebstein anomaly

Background Ebstein anomaly (EA) is a heterogeneous congenital heart defect (CHD), frequently accompanied by diverse cardiac and extracardiac comorbidities, resulting in a wide range of clinical outcomes. Hypothesis Phenotypic characterization of EA patients has the potential to identify variables th...

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Autores:
Cabrera, Rodrigo
Carreño, Marisol
Tamar Silva, Claudia
Manrique, Diana Carolina
Camacho, Camila
Tabares, Sebastián
García, Alberto
Miranda-Fernández, Marta-Catalina
Huertas Quiñones, Victor Manuel
Pineda Rodriguez, Ivonne Gisel
Restrepo, Carlos M.
Quero, Rossi
Sandoval, Nestor F.
Moreno-Medina, Karen
Cano, Juan
Dennis, Rodolfo J.
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/1595
Acceso en línea:
http://hdl.handle.net/20.500.12495/1595
https://doi.org/10.1002/clc.22870
Palabra clave:
Enfermedades cardiovasculares
Anomalía de Ebstein
Epidemiología
Congenital Heart Defect
Ebstein Anomaly
Epidemiology
Rights
License
Acceso cerrado
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dc.title.spa.fl_str_mv Identification of clinically relevant phenotypes in patients with Ebstein anomaly
title Identification of clinically relevant phenotypes in patients with Ebstein anomaly
spellingShingle Identification of clinically relevant phenotypes in patients with Ebstein anomaly
Enfermedades cardiovasculares
Anomalía de Ebstein
Epidemiología
Congenital Heart Defect
Ebstein Anomaly
Epidemiology
title_short Identification of clinically relevant phenotypes in patients with Ebstein anomaly
title_full Identification of clinically relevant phenotypes in patients with Ebstein anomaly
title_fullStr Identification of clinically relevant phenotypes in patients with Ebstein anomaly
title_full_unstemmed Identification of clinically relevant phenotypes in patients with Ebstein anomaly
title_sort Identification of clinically relevant phenotypes in patients with Ebstein anomaly
dc.creator.fl_str_mv Cabrera, Rodrigo
Carreño, Marisol
Tamar Silva, Claudia
Manrique, Diana Carolina
Camacho, Camila
Tabares, Sebastián
García, Alberto
Miranda-Fernández, Marta-Catalina
Huertas Quiñones, Victor Manuel
Pineda Rodriguez, Ivonne Gisel
Restrepo, Carlos M.
Quero, Rossi
Sandoval, Nestor F.
Moreno-Medina, Karen
Cano, Juan
Dennis, Rodolfo J.
dc.contributor.author.none.fl_str_mv Cabrera, Rodrigo
Carreño, Marisol
Tamar Silva, Claudia
Manrique, Diana Carolina
Camacho, Camila
Tabares, Sebastián
García, Alberto
Miranda-Fernández, Marta-Catalina
Huertas Quiñones, Victor Manuel
Pineda Rodriguez, Ivonne Gisel
Restrepo, Carlos M.
Quero, Rossi
Sandoval, Nestor F.
Moreno-Medina, Karen
Cano, Juan
Dennis, Rodolfo J.
dc.subject.decs.spa.fl_str_mv Enfermedades cardiovasculares
Anomalía de Ebstein
Epidemiología
topic Enfermedades cardiovasculares
Anomalía de Ebstein
Epidemiología
Congenital Heart Defect
Ebstein Anomaly
Epidemiology
dc.subject.keywords.spa.fl_str_mv Congenital Heart Defect
Ebstein Anomaly
Epidemiology
description Background Ebstein anomaly (EA) is a heterogeneous congenital heart defect (CHD), frequently accompanied by diverse cardiac and extracardiac comorbidities, resulting in a wide range of clinical outcomes. Hypothesis Phenotypic characterization of EA patients has the potential to identify variables that influence prognosis and subgroups with distinct contributing factors. Methods A comprehensive cross‐sectional phenotypic characterization of 147 EA patients from one of the main referral institutions for CHD in Colombia was carried out. The most prevalent comorbidities and distinct subgroups within the patient cohort were identified through cluster analysis. Results The most prevalent cardiac comorbidities identified were atrial septal defect (61%), Wolff‐Parkinson‐White syndrome (WPW; 27%), and right ventricular outflow tract obstruction (25%). Cluster analysis showed that patients can be classified into 2 distinct subgroups with defined phenotypes that determine disease severity and survival. Patients in cluster 1 represented a particularly homogeneous subgroup with a milder spectrum of disease, including only patients with WPW and/or supraventricular tachycardia (SVT). Cluster 2 included patients with more diverse cardiovascular comorbidities. Conclusions This study represents one of the largest phenotypic characterizations of EA patients reported. The data show that EA is a heterogeneous disease, very frequently associated with cardiovascular and noncardiovascular comorbidities. Patients with WPW and SVT represent a homogeneous subgroup that presents with a less severe spectrum of disease and better survival when adequately managed. This should be considered when searching for genetic causes of EA and in the clinical setting.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-08-05T18:36:36Z
dc.date.available.none.fl_str_mv 2019-08-05T18:36:36Z
dc.type.spa.fl_str_mv article
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dc.type.local.spa.fl_str_mv artículo
dc.identifier.issn.none.fl_str_mv 1932-8737
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12495/1595
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1002/clc.22870
dc.identifier.instname.spa.fl_str_mv instname:Universidad El Bosque
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad El Bosque
dc.identifier.repourl.none.fl_str_mv repourl:https://repositorio.unbosque.edu.co
identifier_str_mv 1932-8737
instname:Universidad El Bosque
reponame:Repositorio Institucional Universidad El Bosque
repourl:https://repositorio.unbosque.edu.co
url http://hdl.handle.net/20.500.12495/1595
https://doi.org/10.1002/clc.22870
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.spa.fl_str_mv Clinical Cardiology, 1932-8737, Vol. 41, Num. 3, 2018, p. 343-348
dc.relation.uri.none.fl_str_mv https://onlinelibrary.wiley.com/doi/full/10.1002/clc.22870
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Acceso cerrado
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dc.rights.creativecommons.none.fl_str_mv 2018
rights_invalid_str_mv Acceso cerrado
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2018
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dc.publisher.spa.fl_str_mv Wiley
dc.publisher.journal.spa.fl_str_mv Clinical Cardiology
institution Universidad El Bosque
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spelling Cabrera, RodrigoCarreño, MarisolTamar Silva, ClaudiaManrique, Diana CarolinaCamacho, CamilaTabares, SebastiánGarcía, AlbertoMiranda-Fernández, Marta-CatalinaHuertas Quiñones, Victor ManuelPineda Rodriguez, Ivonne GiselRestrepo, Carlos M.Quero, RossiSandoval, Nestor F.Moreno-Medina, KarenCano, JuanDennis, Rodolfo J.2019-08-05T18:36:36Z2019-08-05T18:36:36Z20181932-8737http://hdl.handle.net/20.500.12495/1595https://doi.org/10.1002/clc.22870instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengWileyClinical CardiologyClinical Cardiology, 1932-8737, Vol. 41, Num. 3, 2018, p. 343-348https://onlinelibrary.wiley.com/doi/full/10.1002/clc.22870Identification of clinically relevant phenotypes in patients with Ebstein anomalyarticleartículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Enfermedades cardiovascularesAnomalía de EbsteinEpidemiologíaCongenital Heart DefectEbstein AnomalyEpidemiologyBackground Ebstein anomaly (EA) is a heterogeneous congenital heart defect (CHD), frequently accompanied by diverse cardiac and extracardiac comorbidities, resulting in a wide range of clinical outcomes. Hypothesis Phenotypic characterization of EA patients has the potential to identify variables that influence prognosis and subgroups with distinct contributing factors. Methods A comprehensive cross‐sectional phenotypic characterization of 147 EA patients from one of the main referral institutions for CHD in Colombia was carried out. The most prevalent comorbidities and distinct subgroups within the patient cohort were identified through cluster analysis. Results The most prevalent cardiac comorbidities identified were atrial septal defect (61%), Wolff‐Parkinson‐White syndrome (WPW; 27%), and right ventricular outflow tract obstruction (25%). Cluster analysis showed that patients can be classified into 2 distinct subgroups with defined phenotypes that determine disease severity and survival. Patients in cluster 1 represented a particularly homogeneous subgroup with a milder spectrum of disease, including only patients with WPW and/or supraventricular tachycardia (SVT). Cluster 2 included patients with more diverse cardiovascular comorbidities. Conclusions This study represents one of the largest phenotypic characterizations of EA patients reported. The data show that EA is a heterogeneous disease, very frequently associated with cardiovascular and noncardiovascular comorbidities. Patients with WPW and SVT represent a homogeneous subgroup that presents with a less severe spectrum of disease and better survival when adequately managed. 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