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

• Main Authors: Edward Callus, Silvana Pagliuca, Sara Boveri, Federico Ambrogi, Koen Luyckx, Adrienne H. Kovacs, Silke Apers, Werner Budts, Junko Enomoto, Maayke A. Sluman, Jou-Kou Wang, Jamie L. Jackson, Paul Khairy, Stephen C. Cook, Shanthi Chidambarathanu, Luis Alday, Katrine Eriksen, Mikael Dellborg, Malin Berghammer, Bengt Johansson, Andrew S. Mackie, Samuel Menahem, Maryanne Caruana, Gruschen Veldtman, Alexandra Soufi, Susan M. Fernandes, Kamila White, Shelby Kutty, Philip Moons, the APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD)
• Format: Article
• Language: English
• Published: BMC 2021-02-01
• Series: Health and Quality of Life Outcomes
• Subjects: Cluster analysis; Adults with congenital heart disease; Perceived health; Psychological functioning; Health behaviours; Quality of life
• Online Access: https://doi.org/10.1186/s12955-021-01696-x

Abstract 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.