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European Heart Journal Advance Access originally published online on August 1, 2006
European Heart Journal 2006 27(17):2074-2080; doi:10.1093/eurheartj/ehl159
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© The European Society of Cardiology 2006. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

Electrocardiographic risk stratification in families with congenital long QT syndrome

Gerold Mönnig1,2,*, Lars Eckardt1,2, Horst Wedekind1,2, Wilhelm Haverkamp1,2,{dagger}, Joachim Gerss3, Peter Milberg1,2, Kristina Wasmer1, Paulus Kirchhof1,2, Gerd Assmann2, Günter Breithardt1,2 and Eric Schulze-Bahr1,2

1 Department of Cardiology and Angiology, Medizinische Klinik und Poliklinik C, University Hospital Münster, Albert-Schweitzer-Str. 33, D-48149 Münster, Germany
2 Department of Molecular Cardiology, Leibniz-Institute of Arteriosclerosis Research at the University of Münster, Germany
3 Coordinating Centre for Clinical Trials, University Hospital Münster, Germany

Received 22 August 2005; revised 29 May 2006; accepted 6 July 2006; online publish-ahead-of-print 1 August 2006.

* Corresponding author. Tel: +49 251 8347645; fax: +49 251 834 7864. E-mail address: moennig{at}uni-muenster.de

Aims The QT interval in the surface ECG is one of the most often used risk stratifiers in families with congenital long QT syndrome (LQTS). The best ECG lead for clinical management of LQTS families remains unclear.

Methods and results The predictive power of the QTc interval in all ECG leads was studied in 200 consecutive genotyped LQTS family members to identify mutation carriers (n=103; age: 35±19 years) and high-risk LQTS patients (n=16 with survived sudden cardiac arrest) using receiver operating curve (ROC) analysis (ROC=area under curve). Additionally, the risk for events (syncope and sudden cardiac arrest) was calculated for QTc decile in all individuals. The predictive power was highest in lead II and lead V5 for identifying carriers in LQTS families. These ECG leads were optimal for risk stratification (ROC range 0.83–0.87). In these leads, positive predictive value (PPV) and negative predictive value (NPV) were highest for suggested QTc cut-offs (440 and 500 ms) for identification of LQTS mutation carriers and high-risk patients (PPV between 78–81 and 73–80%, respectively). The risk for events in QTc deciles increased exponentially from 10 to 80% and was 40% for QTc>500 ms.

Conclusion On the basis of these data, QTc is the best diagnostic and prognostic ECG parameter in LQTS families. A single measurement should be obtained in lead II if measurable and then in left precordial leads (preferably V5) as a second choice.

Key Words: Long QT syndrome • Risk stratification • ECG leads • Sudden cardiac death • Receiver operating characteristic analysis


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