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

Karina Kück; Jonas L Isaksen; Claus Graff; Tea Skaaby; Allan Linneberg; Torben Hansen; Jørgen K Kanters

doi:10.1016/j.jelectrocard.2018.05.011

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

Karina Kück, Jonas L Isaksen, Claus Graff, Tea Skaaby, Allan Linneberg, Torben Hansen, Jørgen K Kanters

6 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	Journal of Electrocardiology
Vol/bind	51
Udgave nummer	5
Sider (fra-til)	768-775
Antal sider	8
ISSN	0022-0736
DOI	https://doi.org/10.1016/j.jelectrocard.2018.05.011
Status	Udgivet - 2018

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10.1016/j.jelectrocard.2018.05.011

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@article{26ca93050271452185fc2cb3efbae1a0,

title = "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.",

keywords = "All-cause mortality, Dominant vector, QRS-T angle, Transformation matrix, Vectorcardiogram",

author = "Karina K{\"u}ck and Isaksen, {Jonas L} and Claus Graff and Tea Skaaby and Allan Linneberg and Torben Hansen and Kanters, {J{\o}rgen K}",

year = "2018",

doi = "10.1016/j.jelectrocard.2018.05.011",

language = "English",

volume = "51",

pages = "768--775",

journal = "Journal of Electrocardiology",

issn = "0022-0736",

publisher = "Churchill Livingstone",

number = "5",

}

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

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

SN - 0022-0736

VL - 51

SP - 768

EP - 775

JO - Journal of Electrocardiology

JF - Journal of Electrocardiology

IS - 5

ER -

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

Abstract

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