Evidence map›Paper›PMID 42895645›Full record

ArticleEuropean journal of pediatrics2026

Family screening for genetic cardiomyopathies in ECG-positive phenotype-negative adolescents: a joint clinical and genetic approach.

Mark Abela, Jessica Debattista, Jeanesse Scerri, Tiziana Felice, Victor Grech, Christian Scerri

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Article in European journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mark AbelaDepartment of Cardiology, Mater Dei Hospital, Msida, MSD2090, Malta. markabela88@gmail.com.ORCID https://orcid.org/0000-0003-1050-1637
Jessica DebattistaMolecular Genetics, University of Malta, Msida, Malta.
Jeanesse ScerriMolecular Genetics, University of Malta, Msida, Malta.
Tiziana FeliceDepartment of Cardiology, Mater Dei Hospital, Msida, MSD2090, Malta.
Victor GrechDepartment of Paediatrics, Mater Dei Hospital, Msida, Malta.
Christian ScerriMolecular Genetics, University of Malta, Msida, Malta.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescents may present with abnormal ECG findings despite having no structural or electrical evidence of cardiomyopathy. The value of extending family screening to this subgroup remains uncertain. To evaluate the impact of family screening in ECG-positive phenotype-negative adolescents, and determine whether a joint clinical-genetic approach improves the diagnostic yield. In this prospective cohort study, adolescents with an abnormal ECG identified through a nationwide screening program underwent comprehensive clinical/genetic evaluation. Phenotype-negative individuals were included. Relatives underwent clinical screening, with cascade genetic testing offered when probands carried a likely/definite pathogenic (LP/P) cardiomyopathy variant. Abnormal screening outcomes included relatives with (i) de novo cardiomyopathy diagnosis, (ii) early cardiomyopathic traits, or (iii) gene-positive/phenotype-negative (G + P -) status. Sixteen adolescents (0.6%) met inclusion criteria, and 3 (18.8%) were G + (MYBPC3, MYH7, ACTC1). One in five relatives (n = 13/71, 18.3%; 95% CI 11.0-28.9%) were referred, most having an abnormal ECG (12.7%). Nine relatives (12.7%; 95% CI 4.9-20.4%) exhibited early cardiomyopathy traits at baseline. One (1.4%) relative was G + /P - . Cardiomyopathy was diagnosed in 3 (4.2%, 95% CI 0.9-11.8%) relatives at baseline (n = 2 HCM, n = 1 DCM). One relative with early cardiomyopathy traits underwent phenoconversion (NDLVC) during follow-up at 77 months, yielding an overall diagnostic rate of 5.6% (95% CI 2.0-13.8%) in 4 unrelated families. A joint clinical-genetic approach enabled personalized surveillance in 6 relatives (8.5%), including 2 (2.8%) diagnoses that would otherwise have been missed with conventional clinical screening.Conclusion: One in five relatives of ECG‑positive phenotype‑negative adolescents received a cardiomyopathy diagnosis or had early cardiomyopathy traits. A joint clinical-genetic approach in this subgroup may aid early cardiomyopathy detection in selected families, though findings remain exploratory and require validation in larger cohorts. What is Known - What is New: •Resting ECG can identify individuals harboring conditions linked to sudden cardiac death •The penetrance of cardiomyopathy is age dependent, which explains why screened adolescents may exhibit abnormal ECG patterns in the absence of a cardiomyopathy diagnosis •Our data indicate that extending screening to relatives of ECG-positive, phenotype-negative adolescents is justified, with one in five relatives receiving a new cardiomyopathy diagnosis (5.6%) or exhibiting early cardiomyopathy traits (11.3%) •A joint clinical/genetic evaluation in this context may help personalize screening strategies.

Indexed as

CardiomyopathiesElectrocardiographyGenetic TestingAdolescentFemaleHumansMaleMass ScreeningPhenotypeProspective StudiesAdolescentCardiomyopathyECGECG-positive phenotype-negativeFamily screeningGeneticsPre-clinical

Identifiers

PMID42895645
PMCPMC13680340

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