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. Methods and 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 3.7Ϯ0.9 years mean follow-up, there were 55 CV deaths. In univariate analyses, an increased PCA ratio predicted CV mortality in women ( 2 ϭ7.8, Pϭ0.0053) and men ( 2 ϭ9.5, Pϭ0.0021). In contrast, increased QTd was a significant predictor of CV mortality in women ( 2 ϭ30.6, PϽ0.0001) but not in men ( 2 ϭ2.0, PϭNS). 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 ϭ4.0, Pϭ0.043) and men ( 2 ϭ6.4, Pϭ0.011); QTd was a significant predictor in women only ( 2 ϭ11.0, Pϭ0.0009). PCA ratios Ͼ90th 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