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

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dc.contributor.authorCallus, Edward
dc.contributor.authorPagliuca, Silvana
dc.contributor.authorBoveri, Sara
dc.contributor.authorAmbrogi, Federico
dc.contributor.authorLuyckx, Koen
dc.contributor.authorKovacs, Adrienne H
dc.contributor.authorApers, Silke
dc.contributor.authorBudts, Werner
dc.contributor.authorEnomoto, Junko
dc.contributor.authorSluman, Maayke A
dc.contributor.authorWang, Jou-Kou
dc.contributor.authorJackson, Jamie L
dc.contributor.authorKhairy, Paul
dc.contributor.authorCook, Stephen C
dc.contributor.authorChidambarathanu, Shanthi
dc.contributor.authorAlday, Luis
dc.contributor.authorEriksen, Katrine
dc.contributor.authorDellborg, Mikael
dc.contributor.authorBerghammer, Malin
dc.contributor.authorJohansson, Bengt
dc.contributor.authorMackie, Andrew S
dc.contributor.authorMenahem, Samuel
dc.contributor.authorCaruana, Maryanne
dc.contributor.authorVeldtman, Gruschen
dc.contributor.authorSoufi, Alexandra
dc.contributor.authorFernandes, Susan M
dc.contributor.authorWhite, Kamila
dc.contributor.authorKutty, Shelby
dc.contributor.authorMoons, Philip
dc.date.accessioned2021-10-12T09:39:23Z
dc.date.available2021-10-12T09:39:23Z
dc.date.issued2021-02-10
dc.date.updated2021-02-14T04:14:26Z
dc.description.abstractObjective 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.en_US
dc.identifier.apacitationCallus, E., Pagliuca, S., Boveri, S., Ambrogi, F., Luyckx, K., Kovacs, A. H., ... Moons, P. (2021). Phenotypes of adults with congenital heart disease around the globe: a cluster analysis. <i>Health and Quality of Life Outcomes</i>, 19(Article number: 53), http://hdl.handle.net/11427/35196en_ZA
dc.identifier.chicagocitationCallus, Edward, Silvana Pagliuca, Sara Boveri, Federico Ambrogi, Koen Luyckx, Adrienne H Kovacs, Silke Apers, et al "Phenotypes of adults with congenital heart disease around the globe: a cluster analysis." <i>Health and Quality of Life Outcomes</i> 19, Article number: 53. (2021) http://hdl.handle.net/11427/35196en_ZA
dc.identifier.citationCallus, E., Pagliuca, S., Boveri, S., Ambrogi, F., Luyckx, K., Kovacs, A.H., Apers, S. & Budts, W. et al. 2021. Phenotypes of adults with congenital heart disease around the globe: a cluster analysis. <i>Health and Quality of Life Outcomes.</i> 19(Article number: 53) http://hdl.handle.net/11427/35196en_ZA
dc.identifier.ris TY - Journal Article AU - Callus, Edward AU - Pagliuca, Silvana AU - Boveri, Sara AU - Ambrogi, Federico AU - Luyckx, Koen AU - Kovacs, Adrienne H AU - Apers, Silke AU - Budts, Werner AU - Enomoto, Junko AU - Sluman, Maayke A AU - Wang, Jou-Kou AU - Jackson, Jamie L AU - Khairy, Paul AU - Cook, Stephen C AU - Chidambarathanu, Shanthi AU - Alday, Luis AU - Eriksen, Katrine AU - Dellborg, Mikael AU - Berghammer, Malin AU - Johansson, Bengt AU - Mackie, Andrew S AU - Menahem, Samuel AU - Caruana, Maryanne AU - Veldtman, Gruschen AU - Soufi, Alexandra AU - Fernandes, Susan M AU - White, Kamila AU - Kutty, Shelby AU - Moons, Philip AB - 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. DA - 2021-02-10 DB - OpenUCT DP - University of Cape Town IS - Article number: 53 J1 - Health and Quality of Life Outcomes KW - Cluster analysis KW - Adults with congenital heart disease KW - Perceived health KW - Psychological functioning KW - Health behaviours KW - Quality of life LK - https://open.uct.ac.za PY - 2021 T1 - Phenotypes of adults with congenital heart disease around the globe: a cluster analysis TI - Phenotypes of adults with congenital heart disease around the globe: a cluster analysis UR - http://hdl.handle.net/11427/35196 ER - en_ZA
dc.identifier.urihttps://doi.org/10.1186/s12955-021-01696-x
dc.identifier.urihttp://hdl.handle.net/11427/35196
dc.identifier.vancouvercitationCallus E, Pagliuca S, Boveri S, Ambrogi F, Luyckx K, Kovacs AH, et al. Phenotypes of adults with congenital heart disease around the globe: a cluster analysis. Health and Quality of Life Outcomes. 2021;19(Article number: 53) http://hdl.handle.net/11427/35196.en_ZA
dc.language.isoenen_US
dc.language.rfc3066en
dc.publisher.departmentDepartment of Paediatrics and Child Healthen_US
dc.publisher.facultyFaculty of Health Sciencesen_US
dc.rights.holderThe Author(s)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceHealth and Quality of Life Outcomesen_US
dc.source.journalissueArticle number: 53en_US
dc.source.journalvolume19en_US
dc.source.urihttps://hqlo.biomedcentral.com/
dc.subjectCluster analysisen_US
dc.subjectAdults with congenital heart diseaseen_US
dc.subjectPerceived healthen_US
dc.subjectPsychological functioningen_US
dc.subjectHealth behavioursen_US
dc.subjectQuality of lifeen_US
dc.titlePhenotypes of adults with congenital heart disease around the globe: a cluster analysisen_US
dc.typeJournal Articleen_US
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