Literature DB >> 27394408

How Well Do Stroke Risk Scores Predict Hemorrhage in Patients With Atrial Fibrillation?

Gene R Quinn1, Daniel E Singer2, Yuchiao Chang2, Alan S Go3, Leila H Borowsky2, Margaret C Fang4.   

Abstract

The decision to use anticoagulants for atrial fibrillation depends on comparing a patient's estimated risk of stroke to their bleeding risk. Several of the risk factors in the stroke risk schemes overlap with hemorrhage risk. We compared how well 2 stroke risk scores (CHADS2 and CHA2DS2-VASc) and 2 hemorrhage risk scores (the ATRIA bleeding score and the HAS-BLED score) predicted major hemorrhage on and off warfarin in a cohort of 13,559 community-dwelling adults with AF. Over a cumulative 64,741 person-years of follow-up, we identified a total of 777 incident major hemorrhage events. The ATRIA bleeding score had the highest predictive ability of all the scores in patients on warfarin (c-index of 0.74 [0.72 to 0.76] compared with 0.65 [0.62 to 0.67] for CHADS2, 0.65 [0.62 to 0.67] for CHA2DS2-VASc, and 0.64 [0.61 to 0.66] for HAS-BLED) and in those off warfarin (0.77 [0.74 to 0.79] compared with 0.67 [0.64 to 0.71] for CHADS2, 0.67 [0.64 to 0.70] for CHA2DS2-VASc, and 0.68 [0.65 to 0.71] for HAS-BLED). In conclusion, although CHADS2 and CHA2DS2-VASc stroke scores were better at predicting hemorrhage than chance alone, they were inferior to the ATRIA bleeding score. Our study supports the use of dedicated hemorrhage risk stratification tools to predict major hemorrhage in atrial fibrillation.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27394408      PMCID: PMC5131634          DOI: 10.1016/j.amjcard.2016.06.014

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  14 in total

1.  The effect of low-dose warfarin on the risk of stroke in patients with nonrheumatic atrial fibrillation.

Authors:  Daniel E Singer; Robert A Hughes; Daryl R Gress; Mary A Sheehan; Lynn B Oertel; Sue Ward Maraventano; Dyan Ryan Blewett; Bernard Rosner; J Philip Kistler
Journal:  N Engl J Med       Date:  1990-11-29       Impact factor: 91.245

2.  A new risk scheme to predict warfarin-associated hemorrhage: The ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) Study.

Authors:  Margaret C Fang; Alan S Go; Yuchiao Chang; Leila H Borowsky; Niela K Pomernacki; Natalia Udaltsova; Daniel E Singer
Journal:  J Am Coll Cardiol       Date:  2011-07-19       Impact factor: 24.094

3.  A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey.

Authors:  Ron Pisters; Deirdre A Lane; Robby Nieuwlaat; Cees B de Vos; Harry J G M Crijns; Gregory Y H Lip
Journal:  Chest       Date:  2010-03-18       Impact factor: 9.410

4.  2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation--developed with the special contribution of the European Heart Rhythm Association.

Authors:  A John Camm; Gregory Y H Lip; Raffaele De Caterina; Irene Savelieva; Dan Atar; Stefan H Hohnloser; Gerhard Hindricks; Paulus Kirchhof
Journal:  Europace       Date:  2012-08-24       Impact factor: 5.214

Review 5.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society.

Authors:  Craig T January; L Samuel Wann; Joseph S Alpert; Hugh Calkins; Joaquin E Cigarroa; Joseph C Cleveland; Jamie B Conti; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Katherine T Murray; Ralph L Sacco; William G Stevenson; Patrick J Tchou; Cynthia M Tracy; Clyde W Yancy
Journal:  J Am Coll Cardiol       Date:  2014-03-28       Impact factor: 24.094

6.  Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ewout W Steyerberg
Journal:  Stat Med       Date:  2010-11-05       Impact factor: 2.373

7.  Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation.

Authors:  B F Gage; A D Waterman; W Shannon; M Boechler; M W Rich; M J Radford
Journal:  JAMA       Date:  2001-06-13       Impact factor: 56.272

8.  Adjusted-dose warfarin versus low-intensity, fixed-dose warfarin plus aspirin for high-risk patients with atrial fibrillation: Stroke Prevention in Atrial Fibrillation III randomised clinical trial.

Authors: 
Journal:  Lancet       Date:  1996-09-07       Impact factor: 79.321

9.  Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation.

Authors:  Gregory Y H Lip; Robby Nieuwlaat; Ron Pisters; Deirdre A Lane; Harry J G M Crijns
Journal:  Chest       Date:  2009-09-17       Impact factor: 9.410

10.  A method to determine the optimal intensity of oral anticoagulant therapy.

Authors:  F R Rosendaal; S C Cannegieter; F J van der Meer; E Briët
Journal:  Thromb Haemost       Date:  1993-03-01       Impact factor: 5.249

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