Why the study?
Do new quantitative electrocardiographic repolarization variables accurately identify patients with long QT syndrome?
Population
352 subjects, comprising 315 normal subjects and 37 patients with long QT syndrome, aged 17 to 60 years.
Comparison
Classification model using five new… vs Alternative classification model based on the…
Design
Case-control
Authors
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May aid ECG detection of long QT syndrome; hypothesis-generating and requires prospective validation before clinical use.
Do new quantitative electrocardiographic repolarization variables accurately identify patients with long QT syndrome?
A novel classification model using five quantitative ECG repolarization variables accurately differentiates patients with long QT syndrome from normal subjects.
Benhorin et al. (1990) studied this question.
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