Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block

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Standard

Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block. / Skov, Morten W; Ghouse, Jonas; Kühl, Jørgen T; Platonov, Pyotr G; Graff, Claus; Fuchs, Andreas; Rasmussen, Peter V; Pietersen, Adrian; Nordestgaard, Børge G; Torp-Pedersen, Christian; Hansen, Steen M; Olesen, Morten S; Haunsø, Stig; Køber, Lars; Gerds, Thomas A; Kofoed, Klaus F; Svendsen, Jesper H; Holst, Anders G; Nielsen, Jonas B.

I: Journal of the American Heart Association, Bind 7, Nr. 11, e008247, 05.06.2018.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Skov, MW, Ghouse, J, Kühl, JT, Platonov, PG, Graff, C, Fuchs, A, Rasmussen, PV, Pietersen, A, Nordestgaard, BG, Torp-Pedersen, C, Hansen, SM, Olesen, MS, Haunsø, S, Køber, L, Gerds, TA, Kofoed, KF, Svendsen, JH, Holst, AG & Nielsen, JB 2018, 'Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block', Journal of the American Heart Association, bind 7, nr. 11, e008247. https://doi.org/10.1161/JAHA.117.008247

APA

Skov, M. W., Ghouse, J., Kühl, J. T., Platonov, P. G., Graff, C., Fuchs, A., Rasmussen, P. V., Pietersen, A., Nordestgaard, B. G., Torp-Pedersen, C., Hansen, S. M., Olesen, M. S., Haunsø, S., Køber, L., Gerds, T. A., Kofoed, K. F., Svendsen, J. H., Holst, A. G., & Nielsen, J. B. (2018). Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block. Journal of the American Heart Association, 7(11), [e008247]. https://doi.org/10.1161/JAHA.117.008247

Vancouver

Skov MW, Ghouse J, Kühl JT, Platonov PG, Graff C, Fuchs A o.a. Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block. Journal of the American Heart Association. 2018 jun. 5;7(11). e008247. https://doi.org/10.1161/JAHA.117.008247

Author

Skov, Morten W ; Ghouse, Jonas ; Kühl, Jørgen T ; Platonov, Pyotr G ; Graff, Claus ; Fuchs, Andreas ; Rasmussen, Peter V ; Pietersen, Adrian ; Nordestgaard, Børge G ; Torp-Pedersen, Christian ; Hansen, Steen M ; Olesen, Morten S ; Haunsø, Stig ; Køber, Lars ; Gerds, Thomas A ; Kofoed, Klaus F ; Svendsen, Jesper H ; Holst, Anders G ; Nielsen, Jonas B. / Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block. I: Journal of the American Heart Association. 2018 ; Bind 7, Nr. 11.

Bibtex

@article{41b68f87fc3c410d8337f4749088194c,
title = "Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block",
abstract = "BACKGROUND: The electrocardiographic interatrial block (IAB) has been associated with atrial fibrillation (AF). We aimed to test whether IAB can improve risk prediction of AF for the individual person.METHODS AND RESULTS: Digital ECGs of 152 759 primary care patients aged 50 to 90 years were collected from 2001 to 2011. We identified individuals with P-wave ≥120 ms and the presence of none, 1, 2, or 3 biphasic P-waves in inferior leads. Data on comorbidity, medication, and outcomes were obtained from nationwide registries. We observed a dose-response relationship between the number of biphasic P-waves in inferior leads and the hazard of AF during follow-up. Discrimination of the 10-year outcome of AF, measured by time-dependent area under the curve, was increased by 1.09% (95% confidence interval 0.43-1.74%) for individuals with cardiovascular disease at baseline (CVD) and 1.01% (95% confidence interval 0.40-1.62%) for individuals without CVD, when IAB was added to a conventional risk model for AF. The highest effect of IAB on the absolute risk of AF was observed in individuals aged 60 to 70 years with CVD. In this subgroup, the 10-year risk of AF was 50% in those with advanced IAB compared with 10% in those with a normal P-wave. In general, individuals with advanced IAB and no CVD had a higher risk of AF than patients with CVD and no IAB.CONCLUSIONS: IAB improves risk prediction of AF when added to a conventional risk model. Clinicians may consider monitoring patients with IAB more closely for the occurrence of AF, especially for high-risk subgroups.",
author = "Skov, {Morten W} and Jonas Ghouse and K{\"u}hl, {J{\o}rgen T} and Platonov, {Pyotr G} and Claus Graff and Andreas Fuchs and Rasmussen, {Peter V} and Adrian Pietersen and Nordestgaard, {B{\o}rge G} and Christian Torp-Pedersen and Hansen, {Steen M} and Olesen, {Morten S} and Stig Hauns{\o} and Lars K{\o}ber and Gerds, {Thomas A} and Kofoed, {Klaus F} and Svendsen, {Jesper H} and Holst, {Anders G} and Nielsen, {Jonas B}",
note = "{\textcopyright} 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.",
year = "2018",
month = jun,
day = "5",
doi = "10.1161/JAHA.117.008247",
language = "English",
volume = "7",
journal = "Journal of the American Heart Association",
issn = "2047-9980",
publisher = "Wiley-Blackwell",
number = "11",

}

RIS

TY - JOUR

T1 - Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block

AU - Skov, Morten W

AU - Ghouse, Jonas

AU - Kühl, Jørgen T

AU - Platonov, Pyotr G

AU - Graff, Claus

AU - Fuchs, Andreas

AU - Rasmussen, Peter V

AU - Pietersen, Adrian

AU - Nordestgaard, Børge G

AU - Torp-Pedersen, Christian

AU - Hansen, Steen M

AU - Olesen, Morten S

AU - Haunsø, Stig

AU - Køber, Lars

AU - Gerds, Thomas A

AU - Kofoed, Klaus F

AU - Svendsen, Jesper H

AU - Holst, Anders G

AU - Nielsen, Jonas B

N1 - © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

PY - 2018/6/5

Y1 - 2018/6/5

N2 - BACKGROUND: The electrocardiographic interatrial block (IAB) has been associated with atrial fibrillation (AF). We aimed to test whether IAB can improve risk prediction of AF for the individual person.METHODS AND RESULTS: Digital ECGs of 152 759 primary care patients aged 50 to 90 years were collected from 2001 to 2011. We identified individuals with P-wave ≥120 ms and the presence of none, 1, 2, or 3 biphasic P-waves in inferior leads. Data on comorbidity, medication, and outcomes were obtained from nationwide registries. We observed a dose-response relationship between the number of biphasic P-waves in inferior leads and the hazard of AF during follow-up. Discrimination of the 10-year outcome of AF, measured by time-dependent area under the curve, was increased by 1.09% (95% confidence interval 0.43-1.74%) for individuals with cardiovascular disease at baseline (CVD) and 1.01% (95% confidence interval 0.40-1.62%) for individuals without CVD, when IAB was added to a conventional risk model for AF. The highest effect of IAB on the absolute risk of AF was observed in individuals aged 60 to 70 years with CVD. In this subgroup, the 10-year risk of AF was 50% in those with advanced IAB compared with 10% in those with a normal P-wave. In general, individuals with advanced IAB and no CVD had a higher risk of AF than patients with CVD and no IAB.CONCLUSIONS: IAB improves risk prediction of AF when added to a conventional risk model. Clinicians may consider monitoring patients with IAB more closely for the occurrence of AF, especially for high-risk subgroups.

AB - BACKGROUND: The electrocardiographic interatrial block (IAB) has been associated with atrial fibrillation (AF). We aimed to test whether IAB can improve risk prediction of AF for the individual person.METHODS AND RESULTS: Digital ECGs of 152 759 primary care patients aged 50 to 90 years were collected from 2001 to 2011. We identified individuals with P-wave ≥120 ms and the presence of none, 1, 2, or 3 biphasic P-waves in inferior leads. Data on comorbidity, medication, and outcomes were obtained from nationwide registries. We observed a dose-response relationship between the number of biphasic P-waves in inferior leads and the hazard of AF during follow-up. Discrimination of the 10-year outcome of AF, measured by time-dependent area under the curve, was increased by 1.09% (95% confidence interval 0.43-1.74%) for individuals with cardiovascular disease at baseline (CVD) and 1.01% (95% confidence interval 0.40-1.62%) for individuals without CVD, when IAB was added to a conventional risk model for AF. The highest effect of IAB on the absolute risk of AF was observed in individuals aged 60 to 70 years with CVD. In this subgroup, the 10-year risk of AF was 50% in those with advanced IAB compared with 10% in those with a normal P-wave. In general, individuals with advanced IAB and no CVD had a higher risk of AF than patients with CVD and no IAB.CONCLUSIONS: IAB improves risk prediction of AF when added to a conventional risk model. Clinicians may consider monitoring patients with IAB more closely for the occurrence of AF, especially for high-risk subgroups.

U2 - 10.1161/JAHA.117.008247

DO - 10.1161/JAHA.117.008247

M3 - Journal article

C2 - 29848496

VL - 7

JO - Journal of the American Heart Association

JF - Journal of the American Heart Association

SN - 2047-9980

IS - 11

M1 - e008247

ER -

ID: 198706521