Principal component analysis of the T wave and prediction of cardiovascular mortality in American Indians: the Strong Heart Study.
BACKGROUND
Increased 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.


RESULTS
Predictive 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 (chi2=7.8, P=0.0053) and men (chi2=9.5, P=0.0021). In contrast, increased QTd was a significant predictor of CV mortality in women (chi2=30.6, P<0.0001) but not in men (chi2=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 (chi2=4.0 P=0.043) and men (chi2=6.4, P=0.011); QTd was a significant predictor in women only (chi2=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).


CONCLUSIONS
Abnormalities 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.
Okin
Peter M
PM
Division of Cardiology, Department of Medicine, Cornell Medical Center, New York, NY 10021, USA. pokin@med.cornell.edu
Devereux
Richard B
RB
Fabsitz
Richard R
RR
Lee
Elisa T
ET
Galloway
James M
JM
Howard
Barbara V
BV
D001130:Arizona / Q000453:epidemiology; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000208:ethnology / Q000401:mortality*; D004562:Electrocardiography; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007198:Indians, North American; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009658:North Dakota / Q000453:epidemiology; D009825:Oklahoma / Q000453:epidemiology; D011237:Predictive Value of Tests; D025341:Principal Component Analysis; D011379:Prognosis; D016016:Proportional Hazards Models; D011446:Prospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors; D012815:Signal Processing, Computer-Assisted; D013023:South Dakota / Q000453:epidemiology; D015996:Survival Rate