Literature DB >> 25083260

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

Yishen Wang1, Beata Bajorek2.   

Abstract

Clinical guidelines advocate stroke prevention therapy in atrial fibrillation (AF) patients, specifically anticoagulation. However, the decision to initiate treatment is based on the risk (bleeding) versus benefit (prevention of stroke) of therapy, which is often difficult to assess. This review identifies available risk assessment tools to facilitate the safe and optimal use of antithrombotic therapy for stroke prevention in AF. Using key databases and online clinical resources to search the literature (1992-2012), 19 tools have been identified and published to date: 11 addressing stroke risk, 7 addressing bleeding risk and 1 integrating both risk assessments. The stroke risk assessment tools (e.g. CHADS2, CHA2DS2-VASc) share common risk factors: age, hypertension, previous cerebrovascular attack. The bleeding risk assessment tools (e.g. HEMORR2HAGES, HAS-BLED) share common risk factors: age, previous bleeding, renal and liver impairment. In terms of their development, six of the stroke risk assessment tools have been derived from clinical studies, whilst five are based on refinement of existing tools or expert consensus. Many have been evaluated by prospective application to data from real patient cohorts. Bleeding risk assessment tools have been derived from trials, or generated from patient data and then validated via further studies. One identified tool (i.e. Computerised Antithrombotic Risk Assessment Tool [CARAT]) integrates both stroke and bleeding, and specifically considers other key factors in decision-making regarding antithrombotic therapy, particularly those increasing the risk of medication misadventure with treatment (e.g. function, drug interactions, medication adherence). This highlights that whilst separate tools are available to assess stroke and bleeding risk, they do not estimate the relative risk versus benefit of treatment in an individual patient nor consider key medication safety aspects. More effort is needed to synthesize these separate risk assessments and integrate key medication safety issues, particularly since the introduction of new anticoagulants into practice.

Entities:  

Keywords:  atrial fibrillation; bleeding; decision making; risk assessment; risk versus benefit; stroke; stroke prevention

Year:  2014        PMID: 25083260      PMCID: PMC4110878          DOI: 10.1177/2042098613506592

Source DB:  PubMed          Journal:  Ther Adv Drug Saf        ISSN: 2042-0986


  64 in total

1.  Contra: 'Warfarin should be the drug of choice for thromboprophylaxis in elderly patients with atrial fibrillation'. Caveats regarding use of oral anticoagulant therapy among elderly patients with atrial fibrillation.

Authors:  Elaine M Hylek
Journal:  Thromb Haemost       Date:  2008-07       Impact factor: 5.249

2.  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

3.  Performance of the HEMORR 2 HAGES, ATRIA, and HAS-BLED bleeding risk-prediction scores in nonwarfarin anticoagulated atrial fibrillation patients.

Authors:  Stavros Apostolakis; Deirdre A Lane; Yutao Guo; Harry Buller; Gregory Y H Lip
Journal:  J Am Coll Cardiol       Date:  2012-12-12       Impact factor: 24.094

4.  Additive role of plasma von Willebrand factor levels to clinical factors for risk stratification of patients with atrial fibrillation.

Authors:  Gregory Y H Lip; Deirdre Lane; Carl Van Walraven; Robert G Hart
Journal:  Stroke       Date:  2006-08-03       Impact factor: 7.914

5.  Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF).

Authors:  Brian F Gage; Yan Yan; Paul E Milligan; Amy D Waterman; Robert Culverhouse; Michael W Rich; Martha J Radford
Journal:  Am Heart J       Date:  2006-03       Impact factor: 4.749

6.  Oral anticoagulants vs aspirin in nonvalvular atrial fibrillation: an individual patient meta-analysis.

Authors:  Carl van Walraven; Robert G Hart; Daniel E Singer; Andreas Laupacis; Stuart Connolly; Palle Petersen; Peter J Koudstaal; Yuchiao Chang; Beppie Hellemons
Journal:  JAMA       Date:  2002-11-20       Impact factor: 56.272

7.  Prediction of the risk of bleeding during anticoagulant treatment for venous thromboembolism.

Authors:  P M Kuijer; B A Hutten; M H Prins; H R Büller
Journal:  Arch Intern Med       Date:  1999-03-08

Review 8.  The risks of warfarin use in the elderly.

Authors:  Luke R Bereznicki; Gregory M Peterson; Shane L Jackson; Ella C Jeffrey
Journal:  Expert Opin Drug Saf       Date:  2006-05       Impact factor: 4.250

9.  Meta-analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation.

Authors:  Robert G Hart; Lesly A Pearce; Maria I Aguilar
Journal:  Ann Intern Med       Date:  2007-06-19       Impact factor: 25.391

Review 10.  Risk factors for bleeding in patients taking coumarins.

Authors:  Rebecca J Beyth; Paul E Milligan; Brian F Gage
Journal:  Curr Hematol Rep       Date:  2002-09
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  4 in total

1.  Risk factors: Individual assessment of CKD risk in HIV-positive patients.

Authors:  Rebecca Scherzer; Michael G Shlipak
Journal:  Nat Rev Nephrol       Date:  2015-05-12       Impact factor: 28.314

2.  Validation Of The HAS-BLED Tool In Atrial Fibrillation Patients Receiving Rivaroxaban.

Authors:  E W Gorman; D Perkel; D Dennis; J Yates; R E Heidel; D Wortham
Journal:  J Atr Fibrillation       Date:  2016-08-31

3.  Optimizing Stroke Prevention in Patients With Atrial Fibrillation: A Cluster-Randomized Controlled Trial of a Computerized Antithrombotic Risk Assessment Tool in Australian General Practice, 2012-2013.

Authors:  Beata V Bajorek; Parker J Magin; Sarah N Hilmer; Ines Krass
Journal:  Prev Chronic Dis       Date:  2016-07-14       Impact factor: 2.830

4.  Comparison of HAS-BLED with other risk models for predicting the bleeding risk in anticoagulated patients with atrial fibrillation: A PRISMA-compliant article.

Authors:  Junquan Zeng; Peng Yu; Wenjuan Cui; Xiaoping Wang; Jianyong Ma; Changai Zeng
Journal:  Medicine (Baltimore)       Date:  2020-06-19       Impact factor: 1.817

  4 in total

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