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Phenotypes of adults with congenital heart disease around the globe: a cluster analysis
Edward Callus1,2, Silvana Pagliuca1, Sara Boveri3
1Clinical Psychology Service, IRCCS Policlinico San Donato, Milan, Italy.
Insights
Adults with congenital heart disease (ACHD) were grouped into three clusters based on health perception and behaviors. One cluster showed significantly lower scores, linked to female sex, older age, lower education, and complex heart conditions.
Area of Science:
- Cardiology
- Psychology
- Public Health
Background:
- Adults with congenital heart disease (ACHD) face unique challenges impacting their well-being.
- Understanding patient subgroups is crucial for targeted interventions.
Purpose of the Study:
- To identify distinct patient profiles within the ACHD population.
- To analyze differences in perceived health, psychological functioning, health behaviors, and quality of life (QoL).
Main Methods:
- A hierarchical cluster analysis was performed on data from 3768 ACHD patients.
- Psychological characteristics were assessed using validated questionnaires (Sense Of Coherence, HADS, EQ-5D, etc.).
Main Results:
- Three distinct clusters emerged, with 89.6% reporting favorable health perception, QoL, and behaviors.
- The third cluster, comprising 10.4% of patients, reported significantly lower outcomes.
- This subgroup was characterized by higher proportions of females, older age, lower education, complex CHDs, and comorbidities.
Conclusions:
- Demographic and clinical factors are associated with poorer outcomes in a subset of ACHD patients.
- Findings can inform improved psychosocial screening and care delivery for at-risk individuals.
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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