Eur Heart J. 2026 Oct 5:ehag616. doi: 10.1093/eurheartj/ehag616. Online ahead of print.

ABSTRACT

Over the past decades, advances in the diagnosis and treatment of congenital heart disease have reshaped its epidemiology. Congenital heart disease is now increasingly a chronic, lifelong disorder, with adult survivors outnumbering affected children in many countries. This demographic transition has shifted the focus from preventing early mortality towards optimizing long-term health and managing comorbidities. Adult congenital heart disease (ACHD) experience acquired cardiovascular and systemic complications that challenge traditional models of care. As the lifelong burden of disease in ACHD patients continues to rise globally, advanced training pathways in ACHD have spearheaded the content expertise required to deliver high quality of care. The well-established hub-and-scope model has been recommended in the last two decades to improve ACHD care by expanding the number of specialized centres that allow ACHD specialists to reach underserved regions more effectively. However, the advent of technology, digital health, and artificial intelligence-enhanced decision-making provides an opportunity to imagine a different approach, to coordinate advances in research, clinical care, and health system design, with particular emphasis on scalable models that align expertise, data, and delivery across the life course. Networked care structures, workforce redesign, and digitally enabled learning health systems offer a pathway to close persistent gaps in care access and quality. Ultimately, the future of ACHD care will depend on our ability to integrate these innovations into routine practice, ensuring that extended survival is matched by preserved function, quality of life, and equitable outcomes at the population scale.

PMID:42830677 | DOI:10.1093/eurheartj/ehag616