Evidence map›Paper›PMID 42012702›Full record

ArticleEuropean journal of pediatrics2026

Electrocardiographic dispersion parameters as markers of early cardiac involvement in children with β-thalassemia major.

Helen Bornaun, Damla Gökçeer Akbulut, Fatih Şap, Reyhan Dedeoğlu, Deniz Bornaun Kavak, Sina Aghdasi, Erkan Erfidan

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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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7 authors.

Helen BornaunDepartment of Pediatric Cardiology, University of Health Sciences, Kanuni Sultan Suleyman Training and Research Hospital, Istanbul, Turkey.
Damla Gökçeer AkbulutDepartment of Pediatric Cardiology, University of Health Sciences, Kanuni Sultan Suleyman Training and Research Hospital, Istanbul, Turkey. dgkceer@hotmail.com.
Fatih ŞapDepartment of Pediatric Cardiology, Necmettin Erbakan University, Konya, Turkey.
Reyhan DedeoğluDepartment of Pediatric Cardiology, Cerrahpaşa Medical School, Istanbul University-Cerrahpaşa, Istanbul, Turkey.
Deniz Bornaun KavakDepartment of Family Medicine, University of Health Sciences, Bakırköy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
Sina AghdasiDepartment of Cardiology, Shahid Beheshti University of Medical Sciences, Masih Daneshvari Hospital, Tehran, Iran.
Erkan ErfidanDepartment of Pediatrics, Kanuni Sultan Suleyman Training and Research Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac iron deposition remains a leading cause of morbidity and mortality in patients with beta-thalassemia major (β-TM). Early myocardial involvement may be difficult to detect using conventional echocardiography before overt systolic dysfunction develops. We aimed to evaluate early cardiac involvement in children with β-TM using electrocardiographic indices-P-wave dispersion (PWD) and QT dispersion (QTD)-and to examine their associations with markers of iron load. This retrospective study included 85 children with β-TM aged 6-17 years and 85 age-matched and sex-matched healthy controls. All participants underwent 12-lead electrocardiography and comprehensive echocardiography. PWD and QTD were measured manually from surface ECG recordings. Iron load was assessed using serum ferritin levels and cardiac magnetic resonance (CMR) T2* measurements; patients were stratified according to ferritin (< 2500 vs ≥ 2500 ng/mL) and T2* (> 20 ms vs ≤ 20 ms). Children with β-TM had significantly higher PWD, QTD, and corrected QT dispersion (QTcD) than controls (all p < 0.001), despite preserved left ventricular systolic function. Echocardiography demonstrated increased ventricular wall thickness, chamber dimensions, myocardial performance indices, and altered diastolic parameters in the β-TM group. PWD showed a positive correlation with left ventricular mass index (r = 0.295, p = 0.006) and a negative correlation with the tissue Doppler E/A ratio (r =  - 0.252, p = 0.020). QTD correlated negatively with both mitral inflow E/A and tissue Doppler E/A ratios (r =  - 0.247, p = 0.020). No significant correlations were observed between ECG dispersion indices and serum ferritin or CMR T2* values.Conclusion: PWD and QTD are significantly prolonged in children with β-TM even in the absence of clinical heart failure or overt systolic dysfunction, indicating early subclinical cardiac involvement. Given their simplicity, low cost, and noninvasive nature, these ECG indices may serve as practical and accessible tools for early cardiac screening in this population.

Indexed as

beta-ThalassemiaElectrocardiographyIron OverloadAdolescentBiomarkersCase-Control StudiesChildEchocardiographyFemaleFerritinsHumansMagnetic Resonance ImagingMaleRetrospective StudiesBiomarkersFerritinsBeta-thalassemia majorCardiac iron overloadElectrocardiographyP-wave dispersionQT dispersion

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.