Statistical identification of delayed repolarization: Applicability in long QT syndrome (LQTS) population

Author

Gottlieb, S. ; Moss, A.J. ; Hall, W.J. ; Choi, S. ; Badilini, F. ; Andrews, M.L. ; Locati, E.H. ; Robinson, J.L.

Author_Institution

Rochester Univ., NY, USA

fYear

1991

fDate

23-26 Sep 1991

Firstpage

297

Lastpage

300

Abstract

The objectives of this study were: to establish normal standards for QT intervals, based on a large normal population, using high-quality digitized electrocardiogram recordings, and a statistical probabilistic approach adjusting for heart rate, age, and gender, and to apply this approach to the LQTS international registry. Based on digitized electrocardiogram recordings and multiregression methods adjusting the QT interval for RR interval, age, and gender, in normal population (N=578) a measurement called adjusted QT (QTa) was determined. QTa is expressed in normal population standard deviation units, and in percentiles (%QTa). The QTa was applied to the LQTS multicenter registry (N=2000), treating probands (N=326), and family members (N=1674) separately

Keywords

electrocardiography; statistical analysis; waveform analysis; QT intervals; age; delayed repolarization; gender; heart rate; high-quality digitized electrocardiogram recordings; international registry; long QT syndrome population; multiregression methods; normal standards; statistical identification; statistical probabilistic approach; Delay effects; Frequency; Heart rate; Heart rate interval; Hospitals; Pediatrics; Q measurement; Sampling methods; Statistical analysis; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1991, Proceedings.

Conference_Location

Venice

Print_ISBN

0-8186-2485-X

Type

conf

DOI

10.1109/CIC.1991.169104

Filename

169104