Evidence map›Paper›PMID 42460964›Full record

ArticleJACC. Case reports2026

Multimodality Risk Stratification in Athletes With Long QT Syndrome.

Kevin G Tayon, Ufuk Vardar, Elizabeth H Dineen, Brian P Shapiro, Fred Kusumoto, Andrew S Tseng

Abstract readCase Reports
In one paragraph

Article in JACC. Case reports, 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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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kevin G TayonDepartment of Cardiovascular Disease, Mayo Clinic, Jacksonville, Florida, USA.
Ufuk VardarDepartment of Cardiovascular Disease, Mayo Clinic, Jacksonville, Florida, USA.
Elizabeth H DineenDepartment of Cardiovascular Disease, Mayo Clinic, Jacksonville, Florida, USA.
Brian P ShapiroDepartment of Cardiovascular Disease, Mayo Clinic, Jacksonville, Florida, USA.
Fred KusumotoDepartment of Cardiovascular Disease, Mayo Clinic, Jacksonville, Florida, USA.
Andrew S TsengDepartment of Cardiovascular Disease, Mayo Clinic, Jacksonville, Florida, USA. Electronic address: Tseng.Andrew@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong QT syndrome has traditionally led to exercise restriction due to concerns for exertion-triggered arrhythmia and sudden cardiac death. Emerging data, however, support individualized participation guided by genotype and physiologic risk markers. CASE SUMMARY: We describe 3 young athletes with distinct genotypes (KCNE1 D85N [long QT syndrome type 5-Lite], KCNQ1 R555H [long QT syndrome type 1], and KCNH2 p.T613M [long QT syndrome type 2]) evaluated through electrocardiography, exercise testing, and echocardiographic assessment of the electromechanical window. The electromechanical window ranged from mildly to severely negative (-11 to -103 ms) and corresponded with phenotypic severity. Personalized management, including selective β-blockade, mexiletine, and device therapy, enabled safe continuation of sports participation in all cases. DISCUSSION: This case series underscores the role of genotype-specific, multimodality assessment in risk stratifying athletes with long QT syndrome. Integration of individualized therapy, shared decision making, and structured emergency preparedness supports safe athletic participation while maintaining arrhythmic protection and quality of life. TAKE-HOME MESSAGES: Individualized risk assessment including resting and stress electrocardiography, genotype analysis, and electromechanical window measurement provides a more accurate estimate of arrhythmic risk than does resting QTc interval alone. Genotype-guided therapy and structured sports counseling allow most patients with LQTS to safely engage in exercise and even competitive athletics under expert supervision. Shared decision making and emergency preparedness, including automated external defibrillator access and multidisciplinary collaboration, are essential to balancing athletic participation with long-term safety in patients with LQTS.

Indexed as

electromechanical windowgenetic heart diseasegenotype-guided therapylong QT syndromereturn to playsudden cardiac arrest

Identifiers

PMID42460964
PMCPMC13379815

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