Literature DB >> 11817807

Impact of electrocardiogram recording format on QT interval measurement and QT dispersion assessment.

T S Faber1, J Kautzner, M Zehender, A J Camm, M Malik.   

Abstract

The aim of this study was to determine the effect of recording conditions on the operator dependent measures of QT dispersion in patients with known and/or suspected repolarization abnormalities. Among several methods for risk stratification, QT dispersion has been suggested as a simple estimate of repolarization abnormalities. In a cohort of high and low risk patients, different components of the repolarization process were assessed in the 12-lead ECG using three different paper speeds and amplifier gains. To assess measurement error and reproducibility, a straight line was repeatedly measured. The operator error was 0.675 +/- 0.02 mm and the repeatability of the measurement error was 31 +/- 6%. The QT interval was most frequently measurable in V2-V5. Depending on the lead selected for analysis, the incidence of visible U waves was greatest in the precordial leads with high amplifier gain and low paper speed, strongly affecting QT interval measurement. The timing of the onset of the QRS complex (QRS onset dispersion) or offset of the T wave was strongly dependent on the paper speed. Paper speed, but not amplifier gain, had a significant shortening effect on the measurement of the maximum QT interval. As QT interval measurement in each ECG lead incorporates QRS onset and T wave offset (depending on the number of visible U waves), the dispersion of each of these parameters significantly affected QT dispersion. Thus, QT dispersion appears to reflect merely the presence of more complex repolarization patterns in patients at risk of arrhythmias.

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Year:  2001        PMID: 11817807     DOI: 10.1046/j.1460-9592.2001.01739.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  4 in total

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3.  Examination of New Electrocardiographic Repolarization Markers in Diabetic Patients with Noncritical Coronary Artery Disease.

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Journal:  Int J Clin Pract       Date:  2022-03-12       Impact factor: 3.149

4.  Dataset of manually measured QT intervals in the electrocardiogram.

Authors:  Ivaylo Christov; Ivan Dotsinsky; Iana Simova; Rada Prokopova; Elina Trendafilova; Stefan Naydenov
Journal:  Biomed Eng Online       Date:  2006-05-18       Impact factor: 2.819

  4 in total

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