Literature DB >> 12941677

A risk score for predicting stroke or death in individuals with new-onset atrial fibrillation in the community: the Framingham Heart Study.

Thomas J Wang1, Joseph M Massaro, Daniel Levy, Ramachandran S Vasan, Philip A Wolf, Ralph B D'Agostino, Martin G Larson, William B Kannel, Emelia J Benjamin.   

Abstract

CONTEXT: Prior risk stratification schemes for atrial fibrillation (AF) have been based on randomized trial cohorts or Medicare administrative databases, have included patients with established AF, and have focused on stroke as the principal outcome.
OBJECTIVE: To derive risk scores for stroke alone and stroke or death in community-based individuals with new-onset AF. DESIGN, SETTING, AND PARTICIPANTS: Prospective, community-based, observational cohort in Framingham, Mass. We identified 868 participants with new-onset AF, 705 of whom were not treated with warfarin at baseline. Risk scores for stroke (ischemic or hemorrhagic) and stroke or death were developed with censoring when warfarin initiation occurred during follow-up. Event rates were examined in low-risk individuals, as defined by the risk score and 4 previously published risk schemes. MAIN OUTCOME MEASURES: Stroke and the combination of stroke or death.
RESULTS: During a mean follow-up of 4.0 years free of warfarin use, stroke alone occurred in 83 participants and stroke or death occurred in 382 participants. A risk score for stroke was derived that included the following risk predictors: advancing age, female sex, increasing systolic blood pressure, prior stroke or transient ischemic attack, and diabetes. With the risk score, 14.3% of the cohort had a predicted 5-year stroke rate < or =7.5% (average annual rate < or =1.5%), and 30.6% of the cohort had a predicted 5-year stroke rate < or =10% (average annual rate < or =2%). Actual stroke rates in these low-risk groups were 1.1 and 1.5 per 100 person-years, respectively. Previous risk schemes classified 6.4% to 17.3% of subjects as low risk, with actual stroke rates of 0.9 to 2.3 per 100 person-years. A risk score for stroke or death is also presented.
CONCLUSION: These risk scores can be used to estimate the absolute risk of an adverse event in individuals with AF, which may be helpful in counseling patients and making treatment decisions.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12941677     DOI: 10.1001/jama.290.8.1049

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  193 in total

1.  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

2.  Heart disease and stroke statistics--2011 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Robert J Adams; Jarett D Berry; Todd M Brown; Mercedes R Carnethon; Shifan Dai; Giovanni de Simone; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Kurt J Greenlund; Susan M Hailpern; John A Heit; P Michael Ho; 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; Mary M McDermott; James B Meigs; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Wayne D Rosamond; Paul D Sorlie; Randall S Stafford; Tanya N Turan; Melanie B Turner; Nathan D Wong; Judith Wylie-Rosett
Journal:  Circulation       Date:  2010-12-15       Impact factor: 29.690

3.  A clinical prediction model to estimate risk for 30-day adverse events in emergency department patients with symptomatic atrial fibrillation.

Authors:  Tyler W Barrett; Amy R Martin; Alan B Storrow; Cathy A Jenkins; Frank E Harrell; Stephan Russ; Dan M Roden; Dawood Darbar
Journal:  Ann Emerg Med       Date:  2010-08-21       Impact factor: 5.721

4.  Rationale and design of the ODIn-AF Trial: randomized evaluation of the prevention of silent cerebral thromboembolism by oral anticoagulation with dabigatran after pulmonary vein isolation for atrial fibrillation.

Authors:  Jan W Schrickel; Markus Linhart; Dietmar Bänsch; Daniel Thomas; Georg Nickenig
Journal:  Clin Res Cardiol       Date:  2015-10-29       Impact factor: 5.460

5.  Extreme deep white matter hyperintensity volumes are associated with African American race.

Authors:  Paul A Nyquist; Murat S Bilgel; Rebecca Gottesman; Lisa R Yanek; Taryn F Moy; Lewis C Becker; Jennifer Cuzzocreo; Jerry Prince; David M Yousem; Diane M Becker; Brian G Kral; Dhananjay Vaidya
Journal:  Cerebrovasc Dis       Date:  2014-03-25       Impact factor: 2.762

6.  The incidence, pattern, and prognostic value of left ventricular myocardial scar by late gadolinium enhancement in patients with atrial fibrillation .

Authors:  Tomas G Neilan; Ravi V Shah; Siddique A Abbasi; Hoshang Farhad; John D Groarke; John A Dodson; Otavio Coelho-Filho; Ciaran J McMullan; Bobak Heydari; Gregory F Michaud; Roy M John; Rob van der Geest; Michael L Steigner; Ron Blankstein; Michael Jerosch-Herold; Raymond Y Kwong
Journal:  J Am Coll Cardiol       Date:  2013-08-28       Impact factor: 24.094

7.  Gender differences in the risk of ischemic stroke and peripheral embolism in atrial fibrillation: the AnTicoagulation and Risk factors In Atrial fibrillation (ATRIA) study.

Authors:  Margaret C Fang; Daniel E Singer; Yuchiao Chang; Elaine M Hylek; Lori E Henault; Nancy G Jensvold; Alan S Go
Journal:  Circulation       Date:  2005-09-12       Impact factor: 29.690

8.  Statin use is associated with lower risk of atrial fibrillation in women with coronary disease: the HERS trial.

Authors:  C N Pellegrini; E Vittinghoff; F Lin; S B Hulley; G M Marcus
Journal:  Heart       Date:  2009-01-28       Impact factor: 5.994

9.  Atrial Fibrillation and Risk of ST-Segment-Elevation Versus Non-ST-Segment-Elevation Myocardial Infarction: The Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  Elsayed Z Soliman; Faye Lopez; Wesley T O'Neal; Lin Y Chen; Lindsay Bengtson; Zhu-Ming Zhang; Laura Loehr; Mary Cushman; Alvaro Alonso
Journal:  Circulation       Date:  2015-04-27       Impact factor: 29.690

Review 10.  Antithrombotic therapy for the treatment of atrial fibrillation in the elderly.

Authors:  Margaret C Fang
Journal:  J Interv Card Electrophysiol       Date:  2009-01-16       Impact factor: 1.900

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.