Spatial QRS-T angle variants for prediction of all-cause mortality.

Abstract:

BACKGROUND:Many variants of the spatial QRS-T angle (QRS-Ta) are in use. We aimed to identify the best QRS-Ta for all-cause mortality prediction among different variants. METHODS:6667 individuals from the Inter99 General Population Study were followed for a median of 12.7 years. Vectorcardiograms were calculated using the Kors and Inverse Dower matrices. The QRS-Ta was calculated using both mean and peak vectors of the QRS- and T-loops. Hazard ratios (HR) for abnormal QRS-Tas were calculated using a Cox's Proportional Hazard Model. RESULTS:The highest HR and largest AUC for all-cause mortality was obtained with the Kors matrix and the mean vector (HR = 2.2, 95% confidence interval: [1.38;3.43] p < 0.001, in men). There was interaction with the orientation of the QRS-T plane. CONCLUSION:For optimal prediction of all-cause mortality, the mean vectors in the QRS- and T-loops of the Kors-derived vectorcardiogram should be used. QRS-T plane orientation affects mortality prediction.

journal_name

J Electrocardiol

authors

Kück K,Isaksen JL,Graff C,Skaaby T,Linneberg A,Hansen T,Kanters JK

doi

10.1016/j.jelectrocard.2018.05.011

subject

Has Abstract

pub_date

2018-01-01 00:00:00

pages

768-775

issue

5

eissn

0022-0736

issn

1532-8430

pii

S0022-0736(18)30094-3

journal_volume

51

pub_type

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