Karina Kück1, Jonas L Isaksen2, Claus Graff3, Tea Skaaby4, Allan Linneberg5, Torben Hansen6, Jørgen K Kanters7. 1. Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Denmark. 2. Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Denmark; Department of Health Science and Technology, Aalborg University, Denmark. 3. Department of Health Science and Technology, Aalborg University, Denmark. 4. Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark. 5. Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. 6. Novo Nordisk Foundation Center for Basic Metabolic Research, Denmark. 7. Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Denmark. Electronic address: jkanters@sund.ku.dk.
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.
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.
Authors: Andrzej Jaroszyński; Todd T Schlegel; Jerzy Mosiewicz; Renata Stępień; Wojciech Dąbrowski Journal: Mediators Inflamm Date: 2022-05-19 Impact factor: 4.529
Authors: Wojciech Dabrowski; Dorota Siwicka-Gieroba; Chiara Robba; Rafael Badenes; Katarzyna Kotfis; Todd T Schlegel; Andrzej Jaroszynski Journal: Int J Environ Res Public Health Date: 2020-11-21 Impact factor: 3.390