Key result
An increased PCA ratio of the T-wave loop (>90th percentile) was associated with a 3.68-fold increased risk of cardiovascular mortality in women and a 2.77-fold increased risk in men.
Why the study?
Does principal component analysis of the T-wave vector loop predict cardiovascular mortality better than QT interval dispersion in American Indians?
Population
1839 American Indian participants in the first Strong Heart Study examination
Comparison
Principal component analysis of the T-wave… vs QT interval dispersion (QTd)
Design
Cohort
Follow-up
mean 3.7+/-0.9 years
Authors
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T-wave PCA ratio signals CV mortality risk across sexes; leaves open incremental value over QT dispersion before clinical adoption.
Cohort (n=1,839)
Does principal component analysis of the T-wave vector loop predict cardiovascular mortality better than QT interval dispersion in American Indians?
Hazard Ratio: 3.68 (95% CI 1.54–8.83)
p-value: p=0.043
Abnormalities of repolarization measured by PCA of the T-wave loop predict cardiovascular death in both men and women, outperforming QT dispersion which only predicted risk in women.
Okin et al. (2002) conducted a cohort in Cardiovascular mortality risk (n=1,839). Increased PCA ratio (>90th percentile) vs. PCA ratio ≤90th percentile was evaluated on Cardiovascular mortality (HR 3.68, 95% CI 1.54-8.83, p=0.043). An increased PCA ratio of the T-wave loop (>90th percentile) was associated with a 3.68-fold increased risk of cardiovascular mortality in women and a 2.77-fold increased risk in men.
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