Literature DB >> 19249635

Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study.

Renate B Schnabel1, Lisa M Sullivan, Daniel Levy, Michael J Pencina, Joseph M Massaro, Ralph B D'Agostino, Christopher Newton-Cheh, Jennifer F Yamamoto, Jared W Magnani, Thomas M Tadros, William B Kannel, Thomas J Wang, Patrick T Ellinor, Philip A Wolf, Ramachandran S Vasan, Emelia J Benjamin.   

Abstract

BACKGROUND: Atrial fibrillation contributes to substantial increases in morbidity and mortality. We aimed to develop a risk score to predict individuals' absolute risk of developing the condition, and to provide a framework for researchers to assess new risk markers.
METHODS: We assessed 4764 participants in the Framingham Heart Study from 8044 examinations (55% women, 45-95 years of age) undertaken between June, 1968, and September, 1987. Thereafter, participants were monitored for the first event of atrial fibrillation for a maximum of 10 years. Multivariable Cox regression identified clinical risk factors associated with development of atrial fibrillation in 10 years. Secondary analyses incorporated routine echocardiographic measurements (5152 participants, 7156 examinations) to reclassify the risk of atrial fibrillation and to assess whether these measurements improved risk prediction.
FINDINGS: 457 (10%) of the 4764 participants developed atrial fibrillation. Age, sex, body-mass index, systolic blood pressure, treatment for hypertension, PR interval, clinically significant cardiac murmur, and heart failure were associated with atrial fibrillation and incorporated in a risk score (p<0.05, except body-mass index p=0.08), clinical model C statistic 0.78 (95% CI 0.76-0.80). Risk of atrial fibrillation in 10 years varied with age: more than 15% risk was recorded in 53 (1%) participants younger than 65 years, compared with 783 (27%) older than 65 years. Additional incorporation of echocardiographic measurements to enhance the risk prediction model only slightly improved the C statistic from 0.78 (95% CI 0.75-0.80) to 0.79 (0.77-0.82), p=0.005. Echocardiographic measurements did not improve risk reclassification (p=0.18).
INTERPRETATION: From clinical factors readily accessible in primary care, our risk score could help to identify risk of atrial fibrillation for individuals in the community, assess technologies or markers for improvement of risk prediction, and target high-risk individuals for preventive measures.

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Year:  2009        PMID: 19249635      PMCID: PMC2764235          DOI: 10.1016/S0140-6736(09)60443-8

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  33 in total

Review 1.  Presentation of multivariate data for clinical use: The Framingham Study risk score functions.

Authors:  Lisa M Sullivan; Joseph M Massaro; Ralph B D'Agostino
Journal:  Stat Med       Date:  2004-05-30       Impact factor: 2.373

2.  Relation of pooled logistic regression to time dependent Cox regression analysis: the Framingham Heart Study.

Authors:  R B D'Agostino; M L Lee; A J Belanger; L A Cupples; K Anderson; W B Kannel
Journal:  Stat Med       Date:  1990-12       Impact factor: 2.373

Review 3.  P wave signal-averaged electrocardiography to identify risk for atrial fibrillation.

Authors:  Dawood Darbar; Arshad Jahangir; Stephen C Hammill; Bernard J Gersh
Journal:  Pacing Clin Electrophysiol       Date:  2002-10       Impact factor: 1.976

4.  Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study.

Authors:  A S Go; E M Hylek; K A Phillips; Y Chang; L E Henault; J V Selby; D E Singer
Journal:  JAMA       Date:  2001-05-09       Impact factor: 56.272

5.  Physical activity and incidence of atrial fibrillation in older adults: the cardiovascular health study.

Authors:  Dariush Mozaffarian; Curt D Furberg; Bruce M Psaty; David Siscovick
Journal:  Circulation       Date:  2008-08-04       Impact factor: 29.690

6.  Lifetime risk for development of atrial fibrillation: the Framingham Heart Study.

Authors:  Donald M Lloyd-Jones; Thomas J Wang; Eric P Leip; Martin G Larson; Daniel Levy; Ramachandran S Vasan; Ralph B D'Agostino; Joseph M Massaro; Alexa Beiser; Philip A Wolf; Emelia J Benjamin
Journal:  Circulation       Date:  2004-08-16       Impact factor: 29.690

7.  Temporal relations of atrial fibrillation and congestive heart failure and their joint influence on mortality: the Framingham Heart Study.

Authors:  Thomas J Wang; Martin G Larson; Daniel Levy; Ramachandran S Vasan; Eric P Leip; Philip A Wolf; Ralph B D'Agostino; Joanne M Murabito; William B Kannel; Emelia J Benjamin
Journal:  Circulation       Date:  2003-05-27       Impact factor: 29.690

8.  Echocardiographic predictors of nonrheumatic atrial fibrillation. The Framingham Heart Study.

Authors:  S M Vaziri; M G Larson; E J Benjamin; D Levy
Journal:  Circulation       Date:  1994-02       Impact factor: 29.690

9.  Survival after the onset of congestive heart failure in Framingham Heart Study subjects.

Authors:  K K Ho; K M Anderson; W B Kannel; W Grossman; D Levy
Journal:  Circulation       Date:  1993-07       Impact factor: 29.690

10.  Independent risk factors for atrial fibrillation in a population-based cohort. The Framingham Heart Study.

Authors:  E J Benjamin; D Levy; S M Vaziri; R B D'Agostino; A J Belanger; P A Wolf
Journal:  JAMA       Date:  1994-03-16       Impact factor: 56.272

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  361 in total

1.  Validation of an atrial fibrillation risk algorithm in whites and African Americans.

Authors:  Renate B Schnabel; Thor Aspelund; Guo Li; Lisa M Sullivan; Astrid Suchy-Dicey; Tamara B Harris; Michael J Pencina; Ralph B D'Agostino; Daniel Levy; William B Kannel; Thomas J Wang; Richard A Kronmal; Philip A Wolf; Gregory L Burke; Lenore J Launer; Ramachandran S Vasan; Bruce M Psaty; Emelia J Benjamin; Vilmundur Gudnason; Susan R Heckbert
Journal:  Arch Intern Med       Date:  2010-11-22

2.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

3.  Assessment of atrial conduction time by tissue Doppler echocardiography and P-wave dispersion in smokers.

Authors:  Erdal Akturk; Jülide Yağmur; Nusret Açıkgöz; Necip Ermiş; Mehmet Cansel; Yasin Karakuş; Hakan Taşolar; Ferhat Eyupkoca; Hasan Pekdemir
Journal:  J Interv Card Electrophysiol       Date:  2012-03-06       Impact factor: 1.900

4.  Association between left atrial size and measures of adiposity among normal adolescent boys.

Authors:  Valeria Hirschler; H Laura Perez Acebo; Graciela B Fernandez; Sandra Ferradas; Karin Oestreicher
Journal:  Pediatr Cardiol       Date:  2011-09-28       Impact factor: 1.655

5.  Assessing the Incremental Role of Novel and Emerging Risk Factors.

Authors:  Nancy R Cook
Journal:  Curr Cardiovasc Risk Rep       Date:  2010-03-01

6.  Association between familial atrial fibrillation and risk of new-onset atrial fibrillation.

Authors:  Steven A Lubitz; Xiaoyan Yin; João D Fontes; Jared W Magnani; Michiel Rienstra; Manju Pai; Mark L Villalon; Ramachandran S Vasan; Michael J Pencina; Daniel Levy; Martin G Larson; Patrick T Ellinor; Emelia J Benjamin
Journal:  JAMA       Date:  2010-11-13       Impact factor: 56.272

7.  Assessment of conventional cardiovascular risk factors and multiple biomarkers for the prediction of incident heart failure and atrial fibrillation.

Authors:  J Gustav Smith; Christopher Newton-Cheh; Peter Almgren; Joachim Struck; Nils G Morgenthaler; Andreas Bergmann; Pyotr G Platonov; Bo Hedblad; Gunnar Engström; Thomas J Wang; Olle Melander
Journal:  J Am Coll Cardiol       Date:  2010-11-16       Impact factor: 24.094

8.  The effects of PM10 on electrocardiogram parameters, blood pressure and oxidative stress in healthy rats: the protective effects of vanillic acid.

Authors:  Mahin Dianat; Esmat Radmanesh; Mohammad Badavi; Gholamreza Goudarzi; Seyyed Ali Mard
Journal:  Environ Sci Pollut Res Int       Date:  2016-07-08       Impact factor: 4.223

9.  Associations of obesity and body fat distribution with incident atrial fibrillation in the biracial health aging and body composition cohort of older adults.

Authors:  Konstantinos N Aronis; Na Wang; Caroline L Phillips; Emelia J Benjamin; Gregory M Marcus; Anne B Newman; Nicolas Rodondi; Suzanne Satterfield; Tamara B Harris; Jared W Magnani
Journal:  Am Heart J       Date:  2015-06-14       Impact factor: 4.749

10.  High-sensitivity cardiac troponin T and the risk of incident atrial fibrillation: the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Kristian B Filion; Sunil K Agarwal; Christie M Ballantyne; Maria Eberg; Ron C Hoogeveen; Rachel R Huxley; Laura R Loehr; Vijay Nambi; Elsayed Z Soliman; Alvaro Alonso
Journal:  Am Heart J       Date:  2014-10-22       Impact factor: 4.749

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