{"title":"Discrimination of herg carrier from non-carrier adult patients with borderline prolonged QTc interval","authors":"J. Couderc, W. Zareba, A. Moss","doi":"10.1109/CIC.2005.1588050","DOIUrl":null,"url":null,"abstract":"Ten to fifteen percent of individual with the hereditary long-QT syndrome (LQTS) involving the human ether-a-go-go related gene (HERG) do not have an abnormal QT prolongation but are at risk of lethal arrhythmic event. We investigated the phenotypic T-wave morphology for the identification of patients with HERG mutations. The standard 12-lead ECGs from carrier and non-carrier LQT2 patients were digitized and the RR intervals and T-waves were quantified using QT/QTc, QT apex, T-wave amplitude, ascending (alphaL) and its descending slopes (alphaR). A logistic regression model selected 3 parameters for the classification of the groups: QT, RR and alphaL. The model provided 92.7% sensitivity and 90.0 % specificity. The information within the T-wave morphology is complementary to the information of repolarization duration. Abnormal T-wave morphology is a phenotypic expression of the HERG mutation in adult LQTS patient","PeriodicalId":239491,"journal":{"name":"Computers in Cardiology, 2005","volume":"218 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Cardiology, 2005","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2005.1588050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Ten to fifteen percent of individual with the hereditary long-QT syndrome (LQTS) involving the human ether-a-go-go related gene (HERG) do not have an abnormal QT prolongation but are at risk of lethal arrhythmic event. We investigated the phenotypic T-wave morphology for the identification of patients with HERG mutations. The standard 12-lead ECGs from carrier and non-carrier LQT2 patients were digitized and the RR intervals and T-waves were quantified using QT/QTc, QT apex, T-wave amplitude, ascending (alphaL) and its descending slopes (alphaR). A logistic regression model selected 3 parameters for the classification of the groups: QT, RR and alphaL. The model provided 92.7% sensitivity and 90.0 % specificity. The information within the T-wave morphology is complementary to the information of repolarization duration. Abnormal T-wave morphology is a phenotypic expression of the HERG mutation in adult LQTS patient