TY - JOUR
T1 - Phenotypes of adults with congenital heart disease around the globe
T2 - a cluster analysis
AU - the APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD)
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
N1 - Funding Information:
Open access funding provided by University of Gothenburg. This work was supported by the Research Fund—KU Leuven (Leuven, Belgium) through grant OT/11/033 to K.L. and P.M.; by the Swedish Heart–Lung Foundation (Sweden) through grant number 20130607 to M.D.; by the University of Gothenburg Centre for Person-centred Care (Gothenburg, Sweden) to M.D. and P.M.; and by the Cardiac Children's Foundation (Taiwan) through grant CCF2013_02 to H.L.Y. Furthermore, this work was endorsed by and conducted in collaboration with the International Society for Adult Congenital Heart Disease. This study was also partially supported by Ricerca Corrente funding from the Italian Ministry of Health to IRCCS Policlinico San Donato.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - 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.
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.
KW - Adults with congenital heart disease
KW - Cluster analysis
KW - Health behaviours
KW - Perceived health
KW - Psychological functioning
KW - Quality of life
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U2 - 10.1186/s12955-021-01696-x
DO - 10.1186/s12955-021-01696-x
M3 - Article
C2 - 33568120
AN - SCOPUS:85101005480
SN - 1477-7525
VL - 19
JO - Health and Quality of Life Outcomes
JF - Health and Quality of Life Outcomes
IS - 1
M1 - 53
ER -