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European Heart Journal Advance Access published online on August 1, 2006

European Heart Journal, doi:10.1093/eurheartj/ehl159
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European Heart Journal © The European Society of Cardiology 2006; all rights reserved
Received August 22, 2005
Revised May 29, 2006
Accepted July 6, 2006

Clinical research

Electrocardiographic risk stratification in families with congenital long QT syndrome

Gerold Mönnig 1 *, Lars Eckardt 1, Horst Wedekind 1, Wilhelm Haverkamp 1, Joachim Gerss 2, Peter Milberg 1, Kristina Wasmer 3, Paulus Kirchhof 1, Gerd Assmann 4, Günter Breithardt 1, and Eric Schulze-Bahr 1

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

* To whom correspondence should be addressed.
Gerold Mönnig, E-mail: moennig{at}uni-muenster.de


   Abstract

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.

Keywords: Long QT syndrome; Risk stratification; ECG leads; Sudden cardiac death; Receiver operating characteristic analysis.
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