Classification of the long-QT syndrome based on discriminant analysis of T-wave morphology
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Classification of the long-QT syndrome based on discriminant analysis of T-wave morphology. / Struijk, Johannes J.; Kanters, Jørgen K.; Andersen, M P; Hardahl, Thomas Bork; Graff, Claus; Christiansen, M; Toft, E.
I: Medical & Biological Engineering & Computing, Bind 44, Nr. 7, 01.07.2006, s. 543-549.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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
VL - 44
SP - 543
EP - 549
JO - Medical and Biological Engineering and Computing
JF - Medical and Biological Engineering and Computing
SN - 0140-0118
IS - 7
ER -
ID: 1207427