Literature DB >> 15477396

Selecting patients with atrial fibrillation for anticoagulation: stroke risk stratification in patients taking aspirin.

Brian F Gage1, Carl van Walraven, Lesly Pearce, Robert G Hart, Peter J Koudstaal, B S P Boode, Palle Petersen.   

Abstract

BACKGROUND: The rate of stroke in atrial fibrillation (AF) depends on the presence of comorbid conditions and the use of antithrombotic therapy. Although adjusted-dose warfarin is superior to aspirin for reducing stroke in AF, the absolute risk reduction of warfarin depends on the stroke rate with aspirin. This prospective cohort study tested the predictive accuracy of 5 stroke risk stratification schemes. METHODS AND
RESULTS: The study pooled individual data from 2580 participants with nonvalvular AF who were prescribed aspirin in a multicenter trial (Atrial Fibrillation, Aspirin, Anticoagulation I study [AFASAK-1], AFASAK-2, European Atrial Fibrillation Trial, Primary Prevention of Arterial Thromboembolism in patients with nonrheumatic Atrial Fibrillation in primary care study, and Stroke Prevention and Atrial Fibrillation [SPAF]-III high risk or SPAF-III low risk). There were 207 ischemic strokes during 4887 patient-years of aspirin therapy. All schemes predicted stroke better than chance, but the number of patients categorized as low and high risk varied substantially. AF patients with prior cerebral ischemia were classified as high risk by all 5 schemes and had 10.8 strokes per 100 patient-years. The CHADS(2) scheme (an acronym for Congestive heart failure, Hypertension, Age >75, Diabetes mellitus, and prior Stroke or transient ischemic attack) successfully identified primary prevention patients who were at high risk of stroke (5.3 strokes per 100 patient-years). In contrast, patients identified as high risk by other schemes had 3.0 to 4.2 strokes per 100 patient-years. Low-risk patients identified by all schemes had 0.5 to 1.4 strokes per 100 patient-years of therapy.
CONCLUSIONS: Patients with AF who have high and low rates of stroke when given aspirin can be reliably identified, allowing selection of antithrombotic prophylaxis to be individualized.

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Year:  2004        PMID: 15477396     DOI: 10.1161/01.CIR.0000145172.55640.93

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  182 in total

Review 1.  Balancing ischaemia and bleeding risks with novel oral anticoagulants.

Authors:  Usman Baber; Ioannis Mastoris; Roxana Mehran
Journal:  Nat Rev Cardiol       Date:  2014-11-04       Impact factor: 32.419

2.  Identifying a high stroke risk subgroup in individuals with heart failure.

Authors:  Patrick M Pullicino; Leslie A McClure; Virginia J Howard; Virginia G Wadley; Monika M Safford; James F Meschia; Aaron Anderson; George Howard; Elsayed Z Soliman
Journal:  J Stroke Cerebrovasc Dis       Date:  2011-12-03       Impact factor: 2.136

3.  [Epidemiology, clinical picture and management of atrial fibrillation].

Authors:  J Röther
Journal:  Nervenarzt       Date:  2011-02       Impact factor: 1.214

4.  Bleeding and stroke risk in a real-world prospective primary prevention cohort of patients with atrial fibrillation.

Authors:  Daniela Poli; Sophie Testa; Emilia Antonucci; Elisa Grifoni; Oriana Paoletti; Gregory Y H Lip
Journal:  Chest       Date:  2011-04-21       Impact factor: 9.410

5.  Prescription of vitamin K inhibitors in low-risk patients with atrial fibrillation.

Authors:  S Granziera; G Nante; E Manzato; V Pengo
Journal:  J Thromb Thrombolysis       Date:  2011-05       Impact factor: 2.300

6.  Efficacy and safety of percutaneous left atrial appendage closure to prevent thromboembolic events in atrial fibrillation patients with high stroke and bleeding risk.

Authors:  Julia Seeger; Carlo Bothner; Tillman Dahme; Birgid Gonska; Dominik Scharnbeck; Sinisa Markovic; Wolfgang Rottbauer; Jochen Wöhrle
Journal:  Clin Res Cardiol       Date:  2015-08-30       Impact factor: 5.460

Review 7.  Evidence behind quality of care measures for venous thromboembolism and atrial fibrillation.

Authors:  G Eymin; A K Jaffer
Journal:  J Thromb Thrombolysis       Date:  2014       Impact factor: 2.300

8.  The prognostic impact of successful cardioversion of atrial fibrillation in patients with organic heart disease.

Authors:  T Kleemann; T Becker; K Dönges; M Vater; B Gut; S Schneider; J Senges; K Seidl
Journal:  Clin Res Cardiol       Date:  2006-11-24       Impact factor: 5.460

9.  Interactions between cardiovascular and cerebrovascular disease.

Authors:  Giuseppe Di Pasquale; Stefano Urbinati; Enrica Perugini; Simona Gambetti
Journal:  Curr Treat Options Neurol       Date:  2012-12       Impact factor: 3.598

10.  Physicians' perceptions of the value of prognostic models: the benefits and risks of prognostic confidence.

Authors:  Sarah A M Hallen; Norbert A M Hootsmans; Laura Blaisdell; Caitlin M Gutheil; Paul K J Han
Journal:  Health Expect       Date:  2014-05-12       Impact factor: 3.377

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