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Enregistrement W7124154150 · doi:10.1093/ehjimp/qyaf167

Bridging the gap: building structured pathways in paediatric and congenital cardiology education: with a focus on cardiovascular imaging

2025· article· en· W7124154150 sur OpenAlexaff
Sara Moscatelli, Martina Avesani, Jolanda Sabatino, Irene Cattapan, Andriana Anagnostopoulou, Dimpna C Albert Brotons, Alessia Callegari, Giovanni Di Salvo, Merja Kallio, Colin J McMahon, Ornella Milanesi, Conall T. Morgan, Enrico Piccinelli, Skaistė Sendžikaitė, Domenico Sirico, Inga Voges, R. Heying

Notice bibliographique

RevueEuropean Heart Journal - Imaging Methods and Practice · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueCongenital Heart Disease Studies
Établissements canadiensHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésMentorshipBridging (networking)Heart diseasePatient careFocus (optics)Disease

Résumé

récupéré en direct d'OpenAlex

Paediatric and congenital cardiology stand at a critical juncture. Advances in cardiovascular imaging, interventional cardiology, and surgical care have dramatically improved survival and quality of life for patients with congenital heart disease (CHD). Yet, these achievements have not been matched by parallel evolution in formalized, equitable, and structured educational frameworks. Across Europe, training in paediatric and congenital cardiology remains fragmented, heterogeneous, and highly dependent on local resources, leading to significant disparities in exposure, competence development, and career progression. Imaging in particular—now central to diagnosis, intervention planning, and longitudinal follow-up—lacks consistent integration into early-stage training curricula, creating variability in skill acquisition and limiting cross-border mobility of young specialists.1 Despite the growing complexity of CHD management, many trainees still rely on informal, apprenticeship-based learning with limited access to mentorship, structured curricula, or standardized assessment tools. In some regions, access to advanced imaging modalities such as cardiac magnetic resonance imaging and computed tomography (CT) is restricted, further widening the gap between centres of excellence and smaller institutions. Workforce shortages, uneven subspecialty recognition, and the absence of harmonized accreditation systems reinforce these challenges and hinder sustainable development of the specialty.2,3 Within this landscape, the increasing population of adults with congenital heart disease (ACHD) adds additional pressure. As more than 90% of children with CHD now survive into adulthood, the demand for cardiologists trained along the full lifespan—from paediatric diagnosis to adult follow-up—continues to rise. However, in many countries ACHD subspecialty recognition, funding, and formal training pathways remain limited, creating inconsistencies in care delivery and exacerbating the mismatch between patient needs and specialist availability. Integrating ACHD education as a continuum of paediatric training is therefore essential, but requires robust foundational frameworks that are still lacking in several parts of Europe.4 Across Europe and beyond, disparities persist in congenital cardiology training. Bravo-Jaimes et al.5 reported that fewer than one-third of cardiology trainees considered ACHD as a career option, citing limited training opportunities, unclear career pathways, and lack of financial or institutional support. Similarly, McMahon et al.6 found that only a minority of European countries have recognized subspecialty training in ACHD; nearly half offer only informal, non-accredited programmes. This uneven distribution of expertise perpetuates regional inequities and forces many trainees to seek education abroad, contributing to ‘brain drain’ phenomena. In paediatric cardiology, similar concerns have been documented: for example Cantinotti et al.7 identified major variation in training programmes, equipment and accreditation of paediatric echocardiography labs across 22 countries. McMahon et al.8 further reported that in many countries paediatric cardiology training lacks formal subspecialty recognition, contributing to regional inequities and mobility of trainees. Other systemic factors compound these challenges. Subspecialty recognition for ACHD is lacking in many countries, limiting dedicated funding and accreditation mechanisms. Curricular content, assessment methods, and certification remain inconsistent, while structured mentorship programmes are rare. Gender disparities, work–life balance concerns, and insufficient integration of digital and imaging technologies further discourage early-career cardiologists from entering the field.9,10 Cardiovascular imaging is a cornerstone of CHD management, yet formal training in this area remains fragmented. Accurate interpretation of complex anatomy, postoperative changes, and haemodynamic patterns requires deep understanding, technical skill, and systematic exposure. Despite technological progress and the proliferation of advanced modalities—three-dimensional echocardiography, strain imaging, cardiac magnetic resonance (CMR), and CT—training opportunities remain inconsistent across centres.11 Education in CHD imaging is often ‘learning-by-doing,’ dependent on local case volume and expert availability.7 While major referral centres may provide structured rotations in echo, CMR, and CT, most young trainees encounter disjointed and uncoordinated learning experiences. This variability directly affects diagnostic accuracy and clinical decision-making.12 Certification schemes such as the EACVI/AEPC programmes in CHD echocardiography and CMR represent important milestones but remain unevenly implemented across Europe.13 In many regions, imaging education still relies on local initiatives without formal integration into national curricula, limiting professional mobility and cross-border recognition of expertise. Hands-on opportunities are also limited. Access to dedicated workstations, direct supervision, and multidisciplinary exposure to imaging–surgical correlation is inconsistent.14 Yet, imaging mastery relies on iterative, mentored practice, structured feedback, and sustained exposure to complex cases. Early and progressive integration of imaging into training curricula is therefore essential—not only to build competence but also to cultivate three-dimensional and pathophysiological thinking that underpins congenital cardiology.15 Structured training pathways are not merely academic ideals; they directly impact patient outcomes. Population-based analyses demonstrate that patients managed within dedicated CHD programmes experience lower mortality rates, particularly in severe disease forms.16 Similarly, surgical procedures performed by congenital specialists are associated with significantly reduced in-hospital mortality compared with those performed by non-specialists.17 Structured educational frameworks ensure consistency, quality, and patient safety by defining competencies, supervision standards, and milestones. They also sustain workforce development, mitigating burnout, and maintaining expertise during the transition from paediatric to adult care—a period marked by high risk of discontinuity and adverse events.18,19 A harmonized training model encourages early exposure to the entire spectrum of CHD—from prenatal diagnosis to adult management—enhancing clinical, technical, and communicative competencies. Standardized curricula promote equitable access to knowledge, ensuring that all trainees, regardless of country or institutional resources, can achieve comparable proficiency. Addressing disparities in paediatric cardiology education requires a coordinated, evidence-based strategy at the European level. Harmonized curricula should define shared core competencies and entrustable professional activities that transcend national boundaries.20 Structured assessment tools, standardized logbooks, and transparent accreditation of training centres are vital to ensure accountability and comparability. Training centre accreditation should be based on objective criteria, including case volume, multidisciplinary exposure, and faculty competence.21 Regular evaluation by professional societies such as the AEPC and the ESC ensures adherence to quality standards and alignment with evolving scientific evidence. Mentorship represents another pillar of sustainable education. Structured mentorship programmes—particularly those fostering inclusion and career development—help mitigate isolation and support academic growth. When embedded institutionally through the AEPC Education Committee and its allied societies, mentorship becomes a systemic mechanism for continuity, diversity, and leadership.22 Professional societies have a central role in coordinating these initiatives. By establishing consensus on training standards, accrediting centres, and facilitating certification programmes, the AEPC and ESC can transform harmonization from aspiration into reality, ensuring equitable professional development and lifelong learning across Europe. In this context, it is important to acknowledge the substantial work already undertaken by the AEPC to address many of the disparities outlined in this manuscript. Over the past years, the AEPC has significantly expanded its educational portfolio, developing a structured curriculum for paediatric and congenital cardiology, establishing the AEPC examination as a Europe-wide benchmark, and creating accreditation pathways that promote transparency and comparability across training centres. The AEPC-directed webinar series, recently evaluated and shown to provide high educational value, interactivity, and accessibility to junior members across Europe23 represents a particularly impactful achievement. Delivered bi-weekly and aligned with AEPC training recommendations, these webinars offer equitable exposure to expert teaching across the full breadth of paediatric and congenital cardiology and cardiac surgery. Together, these initiatives demonstrate AEPC’s strong commitment to reducing variability in training opportunities, supporting workforce development, and fostering a harmonized, sustainable, and modern educational ecosystem for future generations of paediatric cardiologists. To meet the evolving needs of patients with CHD, education in paediatric and congenital cardiology must evolve from fragmented local experiences to structured, harmonized pathways grounded in equity, quality, and innovation. Integration of cardiovascular imaging into core training curricula from early stages, supported by cross-disciplinary mentorship and accreditation, will strengthen diagnostic expertise and patient outcomes. This effort requires recognition at institutional and governmental levels—acknowledging the strategic importance of congenital cardiology within healthcare systems. Investment in harmonized, lifelong educational frameworks represents not only a professional responsibility but also a moral imperative. The next generation of congenital cardiologists must be equipped with the tools, competencies, and collaborative mindset necessary to deliver excellence in an increasingly complex and multidisciplinary field. These educational, accreditation, and digital initiatives underline AEPC’s long-standing commitment to strengthening paediatric cardiology training across Europe. Through curriculum development, competency-based frameworks, and innovative e-learning strategies, the AEPC continues to build a coherent, harmonized educational ecosystem that supports both trainees and young specialists and ensures high-quality cardiovascular care for future generations. Sara Moscatelli, Domenico Sirico, Skaiste Sendzikaite, Enrico Piccinelli, Conall Morgan, Ornella Milanesi, Colin J. McMahon, Merja Kallio, Giovanni di Salvo, Alessia Callegari, Dimpna C. Albert Brotons, Andriana Anagnostopoulou, Irene Cattapan, Jolanda Sabatino, Martina Avesani, Nunzia Borrelli, Inga voges, and Ruth Heyding No specific grant was received for this editorial. This editorial did not involve human or animal research. No new data were generated or analysed in support of this research.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,920
Score d'incertitude au seuil0,648

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,034
Tête enseignante GPT0,371
Écart entre enseignants0,338 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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