(Circulation. 2000;102:685.)
© 2000 American Heart Association, Inc.
Basic Science Reports |
From Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah School of Medicine, Salt Lake City, Utah (M.S.F., B.P., B.T., R.S.M., P.R.E., L.S.G., R.L.L.), and MTA Institute for Technical Physics and Materials Science, Budapest, Hungary (G.S.).
Correspondence to Marc S. Fuller, PhD, CVRTI, Bldg 500, 95 South 2000 East, University of Utah, Salt Lake City, UT 84112-5000. E-mail fuller{at}cvrti.utah.edu
BackgroundRepolarization dispersion (Rd) is frequently mentioned as a predictor of cardiac abnormalities. We present a new measure of Rd based on the root-mean-square (RMS) curve of an ECG lead set and compare its performance with that of the commonly used QT dispersion (QTd) measure with the use of recovery times measured from directly recorded canine electrograms.
Methods and ResultsUsing isolated, perfused canine hearts suspended in a torso-shaped electrolytic tank, we simultaneously recorded electrograms from 64 epicardial sites and ECGs from 192 "body surface" sites. RMS curves were derived from 4 lead sets: epicardial, body surface, precordial, and a 6-lead optimal set. Repolarization was altered by changing cycle length, temperature, and activation sequence. Rd, calculated directly from recovery times of the 64 epicardial potentials, was then compared with the width of the T wave of the RMS curve and with QTd for each of these 4 lead sets. The correlation between T-wave width and Rd for each lead set, respectively, was epicardium, 0.91; body surface, 0.84; precordial, 0.72; and optimal leads, 0.81. The correlation between QTd and Rd for each lead set was epicardium, 0.46; body surface, 0.47; precordial, 0.17; and optimal leads, 0.11.
ConclusionsRMS curve analysis provides an accurate method of estimating Rd from the body surface. In contrast, QTd analysis provides a poor estimate of Rd.
Key Words: fibrillation electrocardiography arrhythmia
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