Literature DB >> 22722228

Predictive value of the HAS-BLED and ATRIA bleeding scores for the risk of serious bleeding in a "real-world" population with atrial fibrillation receiving anticoagulant therapy.

Vanessa Roldán1, Francisco Marín2, Hermógenes Fernández1, Sergio Manzano-Fernandez2, Pilar Gallego1, Mariano Valdés2, Vicente Vicente1, Gregory Y H Lip3.   

Abstract

BACKGROUND: Despite the clear net clinical benefit of oral anticoagulation for stroke prevention in patients with atrial fibrillation (AF), the occurrence of major bleeding events may be devastating. The HAS-BLED (hypertension, abnormal renal/liver function, stroke, bleeding history or predisposition, labile international normalized ratio, elderly, drugs/alcohol concomitantly) bleeding risk score was first described in 2010 and is recommended in European and Canadian guidelines to estimate major bleeding risk. In 2011, the Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA) study group described a new bleeding risk scheme for AF, which includes five weighted risk factors: anemia, severe renal disease, age ≥ 75 years, previous hemorrhage, and diagnosed hypertension. We assessed the predictive value of the ATRIA bleeding score in a large cohort of patients with AF receiving anticoagulant therapy, compared with the well-validated HAS-BLED score.
METHODS: We recruited consecutive patients with AF receiving anticoagulant therapy from our outpatient anticoagulation clinic with an INR between 2.0 and 3.0 during the previous 6 months' clinic visits. During follow-up, major bleeding events were assessed. We assessed both bleeding risk scores as quantitative variables or as dichotomized variables (low-moderate risk vs high risk). Model performance was evaluated by calculating C statistics, and the improvement in predictive accuracy was evaluated by calculating the net reclassification improvement (NRI) and the integrated discrimination improvement (IDI).
RESULTS: We included 937 patients (49% men; median age, 76 years). Median (interquartile range) follow-up was 952 (785-1,074) days, during which 79 (8%) suffered a major bleeding event (annual rate, 3.2%). The HAS-BLED score had a model performance (based on C statistics) similar to that of the ATRIA score as a quantitative variable (C statistic, 0.71 vs 0.68; P = .356) but was superior to the ATRIA score when analyzed as a dichotomized variable (C statistic, 0.68 vs 0.59; P = .035). Both NRI and IDI analyses demonstrated that the HAS-BLED score more accurately predicted major bleeding episodes than did the ATRIA risk score, as reflected in the percentage of events reclassified correctly.
CONCLUSION: The HAS-BLED score shows significantly better prediction accuracy than the weighted (and more complex) ATRIA score. Our findings reinforce the incremental usefulness of the simple HAS-BLED score over other published bleeding risk scores in patients with AF receiving anticoagulant therapy.

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Year:  2013        PMID: 22722228     DOI: 10.1378/chest.12-0608

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  47 in total

1.  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

2.  Factors driving anticoagulant selection in patients with atrial fibrillation in the United States.

Authors:  Julie C Lauffenburger; Joel F Farley; Anil K Gehi; Denise H Rhoney; M Alan Brookhart; Gang Fang
Journal:  Am J Cardiol       Date:  2015-02-02       Impact factor: 2.778

3.  Quality of anticoagulation control and hemorrhage risk among African American and European American warfarin users.

Authors:  Nita A Limdi; Todd M Brown; Aditi Shendre; Nianjun Liu; Charles E Hill; Timothy M Beasley
Journal:  Pharmacogenet Genomics       Date:  2017-10       Impact factor: 2.089

4.  Net Clinical Benefits of Guidelines and Decision Tool Recommendations for Oral Anticoagulant Use among Patients with Atrial Fibrillation.

Authors:  Anand R Shewale; Jill T Johnson; Chenghui Li; David Nelsen; Bradley C Martin
Journal:  J Stroke Cerebrovasc Dis       Date:  2015-10-21       Impact factor: 2.136

5.  International Validity of the HOSPITAL Score to Predict 30-Day Potentially Avoidable Hospital Readmissions.

Authors:  Jacques D Donzé; Mark V Williams; Edmondo J Robinson; Eyal Zimlichman; Drahomir Aujesky; Eduard E Vasilevskis; Sunil Kripalani; Joshua P Metlay; Tamara Wallington; Grant S Fletcher; Andrew D Auerbach; Jeffrey L Schnipper
Journal:  JAMA Intern Med       Date:  2016-04       Impact factor: 21.873

6.  Antithrombotic therapy for atrial fibrillation and coronary artery disease in older patients.

Authors:  Connie N Hess; Samuel Broderick; Jonathan P Piccini; Karen P Alexander; L Kristin Newby; Linda K Shaw; Kenneth W Mahaffey; John H Alexander; Eric D Peterson; Christopher B Granger; Renato D Lopes
Journal:  Am Heart J       Date:  2012-10       Impact factor: 4.749

Review 7.  Assessing bleeding risk in patients taking anticoagulants.

Authors:  Marwa Shoeb; Margaret C Fang
Journal:  J Thromb Thrombolysis       Date:  2013-04       Impact factor: 2.300

Review 8.  Atrial fibrillation in the elderly.

Authors:  Teerapat Nantsupawat; Kenneth Nugent; Arintaya Phrommintikul
Journal:  Drugs Aging       Date:  2013-08       Impact factor: 3.923

Review 9.  Safe use of antithrombotics for stroke prevention in atrial fibrillation: consideration of risk assessment tools to support decision-making.

Authors:  Yishen Wang; Beata Bajorek
Journal:  Ther Adv Drug Saf       Date:  2014-02

10.  Individualising Anticoagulant Therapy in Atrial Fibrillation Patients.

Authors:  Marco Alings
Journal:  Arrhythm Electrophysiol Rev       Date:  2016-08
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