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Submitted on October 1, 2001
From the Division of Cardiology, Department of Medicine (P.M.O., R.B.D.), Cornell Medical Center, New York, NY; National Heart, Lung, and Blood Institute (R.R.F.), Bethesda, Md; College of Public Health, University of Oklahoma Health Sciences Center (E.L.T.), Oklahoma City, Okla; University of Arizona (J.M.G.), Tucson, AZ; and Medlantic Research Institute (B.V.H.), Washington, DC. * To whom correspondence should be addressed. E-mail: pokin{at}med.cornell.edu.
BackgroundIncreased
QT interval dispersion (QTd) is a proposed ECG marker of vulnerability
to ventricular arrhythmias and of
cardiovascular (CV) mortality. However, principal
component analysis (PCA) of the T-wave vector loop may more
accurately represent repolarization abnormalities than
QTd. Methods and ResultsPredictive values of QTd and PCA were
assessed in 1839 American Indian participants in the first Strong Heart
Study examination. T-wave loop morphology was quantified by the ratio
of the second to first eigenvalues of the T-wave vector by PCA (PCA
ratio); QTd was quantified as the difference between maximum and
minimum QT intervals. After 3.7±0.9 years mean follow-up, there were
55 CV deaths. In univariate analyses, an increased
PCA ratio predicted CV mortality in women
( ConclusionsAbnormalities
of repolarization measured by PCA of the T-wave loop predict CV death
in men and women, supporting use of PCA for quantifying repolarization
abnormalities.
Revised on November 20, 2001
Accepted on December 14, 2001
Principal Component Analysis of the T Wave
and Prediction of Cardiovascular Mortality in American
Indians. The Strong Heart Study
2=7.8,
P=0.0053) and men
(
2=9.5,
P=0.0021). In contrast,
increased QTd was a significant predictor of CV mortality in women
(
2=30.6,
P<0.0001) but not in men
(
2=2.0,
P=NS). In
multivariate Cox analyses controlling for risk
factors and rate-corrected QT interval, the PCA ratio remained a
significant predictor of CV mortality in women
(
2=4.0,
P=0.043) and men
(
2=6.4,
P=0.011); QTd was a significant
predictor in women only (
2=11.0,
P=0.0009). PCA ratios >90th
percentile (32% in women and 24.6% in men) identified women with a
3.68-fold increased risk of CV mortality (95% CI, 1.54 to 8.83) and
men with a 2.77-fold increased risk (95% CI, 1.18 to
6.49).
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