Classification of the long-QT syndrome based on discriminant analysis of T-wave morphology

TY - JOUR

T1 - Classification of the long-QT syndrome based on discriminant analysis of T-wave morphology

AU - Struijk, Johannes J.

AU - Kanters, Jørgen K.

AU - Andersen, M P

AU - Hardahl, Thomas Bork

AU - Graff, Claus

AU - Christiansen, M

AU - Toft, E

PY - 2006/7/1

Y1 - 2006/7/1

N2 - The long QT syndrome (LQTS) is a genetic disorder, typically characterized by a prolonged QT interval in the ECG due to abnormal cardiac repolarization. LQTS may lead to syncopal episodes and sudden cardiac death. Various parameters based on T-wave morphology, as well as the QT interval itself have been shown to be useful discriminators, but no single ECG parameter has been sufficient to solve the diagnostic problem. In this study we present a method for discrimination among persons with a normal genotype and those with mutations in the KCNQ1 (KvLQT1 or LQT1) and KCNH2 (HERG or LQT2) genes on the basis of parameters describing T-wave morphology in terms of duration, asymmetry, flatness and amplitude. Discriminant analyses based on 4 or 5 parameters both resulted in perfect discrimination in a learning set of 36 subjects. In both cases cross-validation of the resulting classifiers showed no misclassifications either.

AB - The long QT syndrome (LQTS) is a genetic disorder, typically characterized by a prolonged QT interval in the ECG due to abnormal cardiac repolarization. LQTS may lead to syncopal episodes and sudden cardiac death. Various parameters based on T-wave morphology, as well as the QT interval itself have been shown to be useful discriminators, but no single ECG parameter has been sufficient to solve the diagnostic problem. In this study we present a method for discrimination among persons with a normal genotype and those with mutations in the KCNQ1 (KvLQT1 or LQT1) and KCNH2 (HERG or LQT2) genes on the basis of parameters describing T-wave morphology in terms of duration, asymmetry, flatness and amplitude. Discriminant analyses based on 4 or 5 parameters both resulted in perfect discrimination in a learning set of 36 subjects. In both cases cross-validation of the resulting classifiers showed no misclassifications either.

KW - Adolescent

KW - Adult

KW - Discriminant Analysis

KW - Echocardiography

KW - Ether-A-Go-Go Potassium Channels

KW - Female

KW - Humans

KW - KCNQ1 Potassium Channel

KW - Long QT Syndrome

KW - Male

KW - Middle Aged

KW - Mutation

U2 - 10.1007/s11517-006-0061-1

DO - 10.1007/s11517-006-0061-1

M3 - Journal article

C2 - 16937190

SN - 0140-0118

VL - 44

SP - 543

EP - 549

JO - Medical and Biological Engineering and Computing

JF - Medical and Biological Engineering and Computing

IS - 7

ER -