www.elsevier.com/locate/jelectrocard Heart rate bin method for identifying repolarization changes in LQT1 and LQT2 patients Martino Vaglio, Jean-Philippe Couderc, Scott McNitt, Xiaojuan Xia, Wojciech Zareba, Arthur J. Moss (Heart Research Follow-up Program, Cardiology, Department, University of Rochester Medical Center, Rochester, NY 14642, USA) The clinical course and the precipitating risk factors in the congenital long QT syndrome are genotype-specific. Among long QT syndrome mutations, KvLQT1 (LQT1) and HERG (LQT2) mutations have an increased risk of recurrent cardiac events and their early diagnosis and treatment is crucial to reduce the risk of mortality. Twelvelead electrocardiogram Holters were recorded in 49 LQT1 and 25 LQT2 carriers. The cardiac beats were clustered based on heart rate (HR) and scalar and vectorial repolarization parameters were compared for similar HR. 0022-0736/$ – see front matter D 2006 Elsevier Inc. All rights reserved. doi:10.1016/j.jelectrocard.2006.05.019 The QT, QTpeak and the Tpeak to Tend intervals, T-wave magnitude as well as T-loop morphology were automatically quantified using custom-made algorithms. T-wave magnitude and Tpeak to Tend interval from lead V5 were the most discriminant parameters. The predictive model using these scalar parameters provided 87% sensitivity and 96% specificity for discriminating LQT1 and LQT2 carriers. A model including 3 parameters based on the vectorial T-loop reached 96% of sensitivity and 96% of specificity. T-wave morphology (mainly T-wave magnitude) was found as HR-independent in LQT2 carriers, whereas it was HR-dependent in LQT1 carriers. In conclusion, automatic algorithm quantifying T-wave morphology discriminates LQT1 and LQT2 carriers with high accuracy. T-wave morphology presents distinct heart-rate dynamics by genotype.