Spatial QRS-T angle variants for prediction of all-cause mortality
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Spatial QRS-T angle variants for prediction of all-cause mortality. / Kück, Karina; Isaksen, Jonas L; Graff, Claus; Skaaby, Tea; Linneberg, Allan; Hansen, Torben; Kanters, Jørgen K.
In: Journal of Electrocardiology, Vol. 51, No. 5, 2018, p. 768-775.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Spatial QRS-T angle variants for prediction of all-cause mortality
AU - Kück, Karina
AU - Isaksen, Jonas L
AU - Graff, Claus
AU - Skaaby, Tea
AU - Linneberg, Allan
AU - Hansen, Torben
AU - Kanters, Jørgen K
N1 - Copyright © 2018 Elsevier Inc. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - All-cause mortality
KW - Dominant vector
KW - QRS-T angle
KW - Transformation matrix
KW - Vectorcardiogram
U2 - 10.1016/j.jelectrocard.2018.05.011
DO - 10.1016/j.jelectrocard.2018.05.011
M3 - Journal article
C2 - 30177310
VL - 51
SP - 768
EP - 775
JO - Journal of Electrocardiology
JF - Journal of Electrocardiology
SN - 0022-0736
IS - 5
ER -
ID: 203874161