Evidence mapPaperPMID 40365780Full record

ArticleClinical cardiology2025

KCNQ1 Polymorphism in the Context of Ischemic Cardiomyopathy: A Potential Key to Decision-Making for Device Implantation.

Uğur Özkan, Metin Budak, Muhammet Gürdoğan, Gülnur Öztürk, Mustafa Yildiz, Gökay Taylan, Servet Altay, Kenan Yalta

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Article in Clinical cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 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.

Uğur ÖzkanDepartment of Cardiology, School of Medicine, Trakya University, Turkey.ORCID https://orcid.org/0000-0002-7552-7654
Metin BudakDepartment of Biophysics, Faculty of Medicine, Trakya University, Turkey.ORCID https://orcid.org/0000-0002-5968-2048
Muhammet GürdoğanDepartment of Cardiology, School of Medicine, Trakya University, Turkey.ORCID https://orcid.org/0000-0001-5650-9066
Gülnur ÖztürkDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Trakya University, Turkey.ORCID https://orcid.org/0000-0003-0752-538X
Mustafa YildizDepartment of Biophysics, Faculty of Medicine, Trakya University, Turkey.ORCID https://orcid.org/0000-0002-1192-6242
Gökay TaylanDepartment of Cardiology, School of Medicine, Trakya University, Turkey.ORCID https://orcid.org/0000-0002-7015-4537
Servet AltayDepartment of Cardiology, School of Medicine, Trakya University, Turkey.ORCID https://orcid.org/0000-0001-7112-3970
Kenan YaltaDepartment of Cardiology, School of Medicine, Trakya University, Turkey.ORCID https://orcid.org/0000-0001-5966-2488

Funding

This study was supported by the Scientific Research Projects of Trakya University (Project No: 2022/210).
6 · The paper itself

Abstract

backgroundVentricular tachyarrhythmia (VTA) in ischemic cardiomyopathy (ICM) is a life-threatening condition influenced by genetic factors and electrical remodeling. This study investigated the association between KCNQ1 gene polymorphisms (rs2237892 and rs2237895) and the development of VTA in ICM patients to improve risk stratification and guide device implantation decisions.

methodsThis single-center study included 213 ICM patients with implantable cardioverter-defibrillators (ICD) for primary prevention of VTA. Patients were divided into arrhythmia and control groups based on device interrogation findings. Genetic analysis for rs2237892 and rs2237895 polymorphisms was performed using real-time polymerase chain reaction (PCR). Clinical, electrocardiographic, and laboratory parameters were analyzed. Correlation and logistic regression analyses evaluated the association between KCNQ1 polymorphisms and VTA risk.

resultsThe arrhythmia group demonstrated significantly higher QT dispersion, frontal QRS-T angle, and T-wave peak-to-end interval compared to the control group. The TT genotype of rs2237892 and the AC genotype of rs2237895 were significantly associated with increased VTA risk (p < 0.001). Multivariate analysis confirmed these genotypes as independent predictors of VTA. No significant differences in other clinical or laboratory risk factors were observed.

conclusionsKCNQ1 gene polymorphisms (rs2237892 and rs2237895) are strongly associated with VTA in ICM patients, suggesting a potential role as biomarkers for risk stratification. These findings may assist in tailoring ICD implantation decisions and improving patient outcomes.

Indexed as

CardiomyopathiesClinical Decision-MakingDefibrillators, ImplantableDNAElectric CountershockKCNQ1 Potassium ChannelMyocardial IschemiaPolymorphism, Single NucleotideTachycardia, VentricularAgedElectrocardiographyFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedDNAKCNQ1 Potassium ChannelKCNQ1 protein, humanimplantable cardioverter‐defibrillatorischemic cardiomyopathyKCNQ1 gene polymorphismventricular tachyarrhythmia

Identifiers

PMID40365780
PMCPMC12076121

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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 Socratic graph.