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Phenotypes of adults with congenital heart disease around the globe: a cluster analysis

OBJECTIVE: To derive cluster analysis-based groupings for adults with congenital heart disease (ACHD) when it comes to perceived health, psychological functioning, health behaviours and quality of life (QoL). METHODS: This study was part of a larger worldwide multicentre study called APPROACH-IS; a...

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Autores principales: Callus, Edward, Pagliuca, Silvana, Boveri, Sara, Ambrogi, Federico, Luyckx, Koen, Kovacs, Adrienne H., Apers, Silke, Budts, Werner, Enomoto, Junko, Sluman, Maayke A., Wang, Jou-Kou, Jackson, Jamie L., Khairy, Paul, Cook, Stephen C., Chidambarathanu, Shanthi, Alday, Luis, Eriksen, Katrine, Dellborg, Mikael, Berghammer, Malin, Johansson, Bengt, Mackie, Andrew S., Menahem, Samuel, Caruana, Maryanne, Veldtman, Gruschen, Soufi, Alexandra, Fernandes, Susan M., White, Kamila, Kutty, Shelby, Moons, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877115/
https://www.ncbi.nlm.nih.gov/pubmed/33568120
http://dx.doi.org/10.1186/s12955-021-01696-x
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author Callus, Edward
Pagliuca, Silvana
Boveri, Sara
Ambrogi, Federico
Luyckx, Koen
Kovacs, Adrienne H.
Apers, Silke
Budts, Werner
Enomoto, Junko
Sluman, Maayke A.
Wang, Jou-Kou
Jackson, Jamie L.
Khairy, Paul
Cook, Stephen C.
Chidambarathanu, Shanthi
Alday, Luis
Eriksen, Katrine
Dellborg, Mikael
Berghammer, Malin
Johansson, Bengt
Mackie, Andrew S.
Menahem, Samuel
Caruana, Maryanne
Veldtman, Gruschen
Soufi, Alexandra
Fernandes, Susan M.
White, Kamila
Kutty, Shelby
Moons, Philip
author_facet Callus, Edward
Pagliuca, Silvana
Boveri, Sara
Ambrogi, Federico
Luyckx, Koen
Kovacs, Adrienne H.
Apers, Silke
Budts, Werner
Enomoto, Junko
Sluman, Maayke A.
Wang, Jou-Kou
Jackson, Jamie L.
Khairy, Paul
Cook, Stephen C.
Chidambarathanu, Shanthi
Alday, Luis
Eriksen, Katrine
Dellborg, Mikael
Berghammer, Malin
Johansson, Bengt
Mackie, Andrew S.
Menahem, Samuel
Caruana, Maryanne
Veldtman, Gruschen
Soufi, Alexandra
Fernandes, Susan M.
White, Kamila
Kutty, Shelby
Moons, Philip
author_sort Callus, Edward
collection PubMed
description OBJECTIVE: To derive cluster analysis-based groupings for adults with congenital heart disease (ACHD) when it comes to perceived health, psychological functioning, health behaviours and quality of life (QoL). METHODS: This study was part of a larger worldwide multicentre study called APPROACH-IS; a cross sectional study which recruited 4028 patients (2013–2015) from 15 participating countries. A hierarchical cluster analysis was performed using Ward's method in order to group patients with similar psychological characteristics, which were defined by taking into consideration the scores of the following tests: Sense Of Coherence, Health Behavior Scale (physical exercise score), Hospital Anxiety Depression Scale, Illness Perception Questionnaire, Satisfaction with Life Scale and the Visual Analogue Scale scores of the EQ-5D perceived health scale and a linear analogue scale (0–100) measuring QoL. RESULTS: 3768 patients with complete data were divided into 3 clusters. The first and second clusters represented 89.6% of patients in the analysis who reported a good health perception, QoL, psychological functioning and the greatest amount of exercise. Patients in the third cluster reported substantially lower scores in all PROs. This cluster was characterised by a significantly higher proportion of females, a higher average age the lowest education level, more complex forms of congenital heart disease and more medical comorbidities. CONCLUSIONS: This study suggests that certain demographic and clinical characteristics may be linked to less favourable health perception, quality of life, psychological functioning, and health behaviours in ACHD. This information may be used to improve psychosocial screening and the timely provision of psychosocial care.
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spelling pubmed-78771152021-02-11 Phenotypes of adults with congenital heart disease around the globe: a cluster analysis Callus, Edward Pagliuca, Silvana Boveri, Sara Ambrogi, Federico Luyckx, Koen Kovacs, Adrienne H. Apers, Silke Budts, Werner Enomoto, Junko Sluman, Maayke A. Wang, Jou-Kou Jackson, Jamie L. Khairy, Paul Cook, Stephen C. Chidambarathanu, Shanthi Alday, Luis Eriksen, Katrine Dellborg, Mikael Berghammer, Malin Johansson, Bengt Mackie, Andrew S. Menahem, Samuel Caruana, Maryanne Veldtman, Gruschen Soufi, Alexandra Fernandes, Susan M. White, Kamila Kutty, Shelby Moons, Philip Health Qual Life Outcomes Research OBJECTIVE: To derive cluster analysis-based groupings for adults with congenital heart disease (ACHD) when it comes to perceived health, psychological functioning, health behaviours and quality of life (QoL). METHODS: This study was part of a larger worldwide multicentre study called APPROACH-IS; a cross sectional study which recruited 4028 patients (2013–2015) from 15 participating countries. A hierarchical cluster analysis was performed using Ward's method in order to group patients with similar psychological characteristics, which were defined by taking into consideration the scores of the following tests: Sense Of Coherence, Health Behavior Scale (physical exercise score), Hospital Anxiety Depression Scale, Illness Perception Questionnaire, Satisfaction with Life Scale and the Visual Analogue Scale scores of the EQ-5D perceived health scale and a linear analogue scale (0–100) measuring QoL. RESULTS: 3768 patients with complete data were divided into 3 clusters. The first and second clusters represented 89.6% of patients in the analysis who reported a good health perception, QoL, psychological functioning and the greatest amount of exercise. Patients in the third cluster reported substantially lower scores in all PROs. This cluster was characterised by a significantly higher proportion of females, a higher average age the lowest education level, more complex forms of congenital heart disease and more medical comorbidities. CONCLUSIONS: This study suggests that certain demographic and clinical characteristics may be linked to less favourable health perception, quality of life, psychological functioning, and health behaviours in ACHD. This information may be used to improve psychosocial screening and the timely provision of psychosocial care. BioMed Central 2021-02-10 /pmc/articles/PMC7877115/ /pubmed/33568120 http://dx.doi.org/10.1186/s12955-021-01696-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Callus, Edward
Pagliuca, Silvana
Boveri, Sara
Ambrogi, Federico
Luyckx, Koen
Kovacs, Adrienne H.
Apers, Silke
Budts, Werner
Enomoto, Junko
Sluman, Maayke A.
Wang, Jou-Kou
Jackson, Jamie L.
Khairy, Paul
Cook, Stephen C.
Chidambarathanu, Shanthi
Alday, Luis
Eriksen, Katrine
Dellborg, Mikael
Berghammer, Malin
Johansson, Bengt
Mackie, Andrew S.
Menahem, Samuel
Caruana, Maryanne
Veldtman, Gruschen
Soufi, Alexandra
Fernandes, Susan M.
White, Kamila
Kutty, Shelby
Moons, Philip
Phenotypes of adults with congenital heart disease around the globe: a cluster analysis
title Phenotypes of adults with congenital heart disease around the globe: a cluster analysis
title_full Phenotypes of adults with congenital heart disease around the globe: a cluster analysis
title_fullStr Phenotypes of adults with congenital heart disease around the globe: a cluster analysis
title_full_unstemmed Phenotypes of adults with congenital heart disease around the globe: a cluster analysis
title_short Phenotypes of adults with congenital heart disease around the globe: a cluster analysis
title_sort phenotypes of adults with congenital heart disease around the globe: a cluster analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877115/
https://www.ncbi.nlm.nih.gov/pubmed/33568120
http://dx.doi.org/10.1186/s12955-021-01696-x
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