Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE-AF Consortium

A Alonso; Bouwe Krijthe; T Aspelund; KA Stepas; MJ Pencina; CB Moser; MF Sinner; N Sotoodehnia; JD Fontes; Cecile Janssens; RA Kronmal; JW Magnani; JCM Witteman; AM Chamberlain; SA Lubitz; RB Schnabel; SK Agarwal; DD McManus; PT Ellinor; MG Larson; GL Burke; LJ (Lenore) Launer; Bert Hofman; D Levy; JS Gottdiener; S Kaab; D Couper; TB Harris; EZ Soliman; Bruno Stricker; V Gudnason; SR Heckbert; EJ Benjamin

doi:10.1161/JAHA.112.000102

Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE-AF Consortium

A Alonso, Bouwe Krijthe, T Aspelund, KA Stepas, MJ Pencina, CB Moser, MF Sinner, N Sotoodehnia, JD Fontes, Cecile Janssens, RA Kronmal, JW Magnani, JCM Witteman, AM Chamberlain, SA Lubitz, RB Schnabel, SK Agarwal, DD McManus, PT Ellinor, MG LarsonGL Burke, LJ (Lenore) Launer, Bert Hofman, D Levy, JS Gottdiener, S Kaab, D Couper, TB Harris, EZ Soliman, Bruno Stricker, V Gudnason, SR Heckbert, EJ Benjamin

Research output: Contribution to journal › Article › Academic › peer-review

520 Citations (Scopus)

Abstract

Background-Tools for the prediction of atrial fibrillation (AF) may identify high-risk individuals more likely to benefit from preventive interventions and serve as a benchmark to test novel putative risk factors. Methods and Results-Individual-level data from 3 large cohorts in the United States (Atherosclerosis Risk in Communities [ARIC] study, the Cardiovascular Health Study [CHS], and the Framingham Heart Study [FHS]), including 18 556 men and women aged 46 to 94 years (19% African Americans, 81% whites) were pooled to derive predictive models for AF using clinical variables. Validation of the derived models was performed in 7672 participants from the Age, Gene and Environment-Reykjavik study (AGES) a Conclusion-A risk model including variables readily available in primary care settings adequately predicted AF in diverse populations from the United States and Europe.

Original language	Undefined/Unknown
Journal	Journal of the American Heart Association
Volume	2
Issue number	2
DOIs	https://doi.org/10.1161/JAHA.112.000102
Publication status	Published - 2013

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10.1161/JAHA.112.000102

Cite this

Alonso, A., Krijthe, B., Aspelund, T., Stepas, KA., Pencina, MJ., Moser, CB., Sinner, MF., Sotoodehnia, N., Fontes, JD., Janssens, C., Kronmal, RA., Magnani, JW., Witteman, JCM., Chamberlain, AM., Lubitz, SA., Schnabel, RB., Agarwal, SK., McManus, DD., Ellinor, PT., ... Benjamin, EJ. (2013). Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE-AF Consortium. Journal of the American Heart Association, 2(2). https://doi.org/10.1161/JAHA.112.000102

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title = "Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE-AF Consortium",

abstract = "Background-Tools for the prediction of atrial fibrillation (AF) may identify high-risk individuals more likely to benefit from preventive interventions and serve as a benchmark to test novel putative risk factors. Methods and Results-Individual-level data from 3 large cohorts in the United States (Atherosclerosis Risk in Communities [ARIC] study, the Cardiovascular Health Study [CHS], and the Framingham Heart Study [FHS]), including 18 556 men and women aged 46 to 94 years (19% African Americans, 81% whites) were pooled to derive predictive models for AF using clinical variables. Validation of the derived models was performed in 7672 participants from the Age, Gene and Environment-Reykjavik study (AGES) a Conclusion-A risk model including variables readily available in primary care settings adequately predicted AF in diverse populations from the United States and Europe.",

author = "A Alonso and Bouwe Krijthe and T Aspelund and KA Stepas and MJ Pencina and CB Moser and MF Sinner and N Sotoodehnia and JD Fontes and Cecile Janssens and RA Kronmal and JW Magnani and JCM Witteman and AM Chamberlain and SA Lubitz and RB Schnabel and SK Agarwal and DD McManus and PT Ellinor and MG Larson and GL Burke and Launer, {LJ (Lenore)} and Bert Hofman and D Levy and JS Gottdiener and S Kaab and D Couper and TB Harris and EZ Soliman and Bruno Stricker and V Gudnason and SR Heckbert and EJ Benjamin",

year = "2013",

doi = "10.1161/JAHA.112.000102",

language = "Undefined/Unknown",

volume = "2",

journal = "Journal of the American Heart Association",

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Alonso, A, Krijthe, B, Aspelund, T, Stepas, KA, Pencina, MJ, Moser, CB, Sinner, MF, Sotoodehnia, N, Fontes, JD, Janssens, C, Kronmal, RA, Magnani, JW, Witteman, JCM, Chamberlain, AM, Lubitz, SA, Schnabel, RB, Agarwal, SK, McManus, DD, Ellinor, PT, Larson, MG, Burke, GL, Launer, LJ, Hofman, B, Levy, D, Gottdiener, JS, Kaab, S, Couper, D, Harris, TB, Soliman, EZ, Stricker, B, Gudnason, V, Heckbert, SR & Benjamin, EJ 2013, 'Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE-AF Consortium', Journal of the American Heart Association, vol. 2, no. 2. https://doi.org/10.1161/JAHA.112.000102

TY - JOUR

T1 - Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE-AF Consortium

AU - Alonso, A

AU - Krijthe, Bouwe

AU - Aspelund, T

AU - Stepas, KA

AU - Pencina, MJ

AU - Moser, CB

AU - Sinner, MF

AU - Sotoodehnia, N

AU - Fontes, JD

AU - Janssens, Cecile

AU - Kronmal, RA

AU - Magnani, JW

AU - Witteman, JCM

AU - Chamberlain, AM

AU - Lubitz, SA

AU - Schnabel, RB

AU - Agarwal, SK

AU - McManus, DD

AU - Ellinor, PT

AU - Larson, MG

AU - Burke, GL

AU - Launer, LJ (Lenore)

AU - Hofman, Bert

AU - Levy, D

AU - Gottdiener, JS

AU - Kaab, S

AU - Couper, D

AU - Harris, TB

AU - Soliman, EZ

AU - Stricker, Bruno

AU - Gudnason, V

AU - Heckbert, SR

AU - Benjamin, EJ

PY - 2013

Y1 - 2013

N2 - Background-Tools for the prediction of atrial fibrillation (AF) may identify high-risk individuals more likely to benefit from preventive interventions and serve as a benchmark to test novel putative risk factors. Methods and Results-Individual-level data from 3 large cohorts in the United States (Atherosclerosis Risk in Communities [ARIC] study, the Cardiovascular Health Study [CHS], and the Framingham Heart Study [FHS]), including 18 556 men and women aged 46 to 94 years (19% African Americans, 81% whites) were pooled to derive predictive models for AF using clinical variables. Validation of the derived models was performed in 7672 participants from the Age, Gene and Environment-Reykjavik study (AGES) a Conclusion-A risk model including variables readily available in primary care settings adequately predicted AF in diverse populations from the United States and Europe.

AB - Background-Tools for the prediction of atrial fibrillation (AF) may identify high-risk individuals more likely to benefit from preventive interventions and serve as a benchmark to test novel putative risk factors. Methods and Results-Individual-level data from 3 large cohorts in the United States (Atherosclerosis Risk in Communities [ARIC] study, the Cardiovascular Health Study [CHS], and the Framingham Heart Study [FHS]), including 18 556 men and women aged 46 to 94 years (19% African Americans, 81% whites) were pooled to derive predictive models for AF using clinical variables. Validation of the derived models was performed in 7672 participants from the Age, Gene and Environment-Reykjavik study (AGES) a Conclusion-A risk model including variables readily available in primary care settings adequately predicted AF in diverse populations from the United States and Europe.

U2 - 10.1161/JAHA.112.000102

DO - 10.1161/JAHA.112.000102

M3 - Article

SN - 0039-2499

VL - 2

JO - Journal of the American Heart Association

JF - Journal of the American Heart Association

IS - 2

ER -