Evidence map›Paper›PMID 41243887›Full record

ArticleAnatolian journal of cardiology2026

Electrophysiological Markers in Hypertrophic Cardiomyopathy: Enhancing Sudden Cardiac Death Risk Prediction with Index of Cardiac Electrophysiological Balance and Its Corrected Variant.

İsmail Balaban, Seda Tanyeri, Ahmet Karaduman, Barkın Kültürsay, Ezgi Gültekin Güner, Mustafa Ferhat Keten, Süleyman Çağan Efe, Elnur Alizade

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Article in Anatolian journal of cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

İsmail BalabanDepartment of Cardiology, University of Health Sciences, Hamidiye School of Medicine, Koşuyolu Heart Training and Research Institute, İstanbul, Türkiye.
Seda TanyeriDepartment of Cardiology, University of Health Sciences, Hamidiye School of Medicine, Koşuyolu Heart Training and Research Institute, İstanbul, Türkiye.
Ahmet KaradumanDepartment of Cardiology, University of Health Sciences, Hamidiye School of Medicine, Koşuyolu Heart Training and Research Institute, İstanbul, Türkiye.
Barkın KültürsayDepartment of Cardiology, Tunceli State Hospital, Tunceli, Türkiye.
Ezgi Gültekin GünerDepartment of Cardiology, Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye.
Mustafa Ferhat KetenDepartment of Cardiology, University of Health Sciences, Hamidiye School of Medicine, Koşuyolu Heart Training and Research Institute, İstanbul, Türkiye.
Süleyman Çağan EfeDepartment of Cardiology, University of Health Sciences, Hamidiye School of Medicine, Koşuyolu Heart Training and Research Institute, İstanbul, Türkiye.
Elnur AlizadeDepartment of Cardiology, University of Health Sciences, Hamidiye School of Medicine, Koşuyolu Heart Training and Research Institute, İstanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertrophic cardiomyopathy (HCM) is characterized by asymmetric left ventricular hypertrophy and myocardial fibrosis, which significantly increases the risk of sudden cardiac death (SCD). Existing risk stratification models are limited in predicting SCD risk in patients within the "gray zone"-those with intermediate risk. This study investigates the prognostic utility of the Index of Cardiac Electrophysiological Balance (ICEB) and its corrected variant (ICEBc) in predicting ventricular arrhythmias (VAs) in HCM. To evaluate the predictive value of ICEB and ICEBc for Life-Threatening Arrhythmias (LTA) and non-sustained ventricular tachycardia (NSVT) in HCM and compare their performance with traditional repolarization parameters and the European Society of Cardiology (ESC) SCD Risk Score.

methodsA retrospective observational study was conducted at a single center, including 127 HCM patients categorized into 3 groups: LTA (n = 45), NSVT (n = 29), and control (n = 53). Electrocardiographic parameters, including ICEB, ICEBc, Tp-e interval, Tp-e/QTc ratio, and QRS-T angle were measured. Multiple logistic regression and receiver operating characteristic (ROC) curve analyses were performed to identify independent predictors of VAs.

resultsThe ICEB and ICEBc were significantly lower in LTA and NSVT groups compared to the control group (P < .001), indicating increased arrhythmogenic risk. The ROC curve analysis showed that ICEB and ICEBc had superior predictive power for LTA and NSVT compared to traditional markers and the ESC SCD Risk Score, with the highest area under the curve (AUC) for the Base + ICEB Model (AUC = 0.79).

conclusionThe ICEB and ICEBc are robust markers of repolarization heterogeneity and effective predictors of VAs in HCM patients. Their integration into existing risk stratification models could enhance predictive accuracy, particularly for gray zone patients.

Identifiers

PMID41243887
PMCPMC13177175

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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.