LONG QT SYNDROME - NEW ELECTROCARDIOGRAPHIC CHARACTERISTICS

被引:84
作者
BENHORIN, J
MERRI, M
ALBERTI, M
LOCATI, E
MOSS, AJ
HALL, WJ
CUI, L
机构
[1] UNIV ROCHESTER,SCH MED & DENT,DIV BIOSTAT,ROCHESTER,NY 14642
[2] UNIV MILAN,CTR FISIOL CLIN & IPERTENS,I-20122 MILAN,ITALY
[3] UNIV ROCHESTER,SCH MED & DENT,DEPT MED,ROCHESTER,NY 14642
[4] UNIV ROCHESTER,SCH MED & DENT,DEPT ELECT ENGN,ROCHESTER,NY 14642
[5] UNIV ROCHESTER,SCH MED & DENT,DEPT PREVENT FAMILY & REHABIL MED,ROCHESTER,NY 14642
关键词
electrocardiography; digital; long QT syndrome; repolarization;
D O I
10.1161/01.CIR.82.2.521
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The long QT syndrome is electrocardiographically characterized by a prolonged QT interval and by several other, more subtle, ST-T-U wave abnormalities, most of which have not been quantified. To determine the possible usefulness of several new electrocardiographic characteristics in identifying patients with known long QT syndrome, logistic regression models were applied to a data base of seven new, relatively independent, electrocardiographic repolarization variables. These were measured on digitized 12-lead electrocardiograms of 315 normal subjects and 37 patients with the long QT syndrome (members of well-identified long QT syndrome families, QTc > 0.44 second, 27% symptomatic), who ranged in age from 17 to 60 years. Electrocardiographic variables that independently differentiated (p < 0.001) patients with long QT syndrome from normal subjects included quantitative measures of repolarization: early duration, rate, T wave symmetry, late phenomena, and heterogeneity. All selected repolarization variables except the early duration variable were essentially independent of the QTc (r2 < 0.15), and all contributed significantly to the identification of patients with long QT syndrome. A classification model of five electrocardiographic predictor variables resulted in an estimated sensitivity (95% confidence interval) of 92.6% (81.6-100%) and an estimated specificity (95% confidence interval) of 95.8% (93.6-98.1%). This model performed significantly better than an alternative classification model that was based on the early duration variable as a single predictor variable. The symptomatic status of patients with long QT syndrome could not be predicted by any combination of the electrocardiographic variables in the investigated model.
引用
收藏
页码:521 / 527
页数:7
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