Literature DB >> 22246948

Can we predict stroke in atrial fibrillation?

Gregory Y H Lip1.   

Abstract

Stroke prevention with appropriate thromboprophylaxis still remains central to the management of atrial fibrillation (AF). Nonetheless, stroke risk in AF is not homogeneous, but despite stroke risk in AF being a continuum, prior stroke risk stratification schema have been used to 'artificially' categorise patients into low, moderate and high risk stroke strata, so that the patients at highest risk can be identified for warfarin therapy. Data from recent large cohort studies show that by being more inclusive, rather than exclusive, of common stroke risk factors in the assessment of the risk for stroke and thromboembolism in AF patients, we can be so much better in assessing stroke risk, and in optimising thromboprophylaxis with the resultant reduction in stroke and mortality. Thus, there has been a recent paradigm shift towards getting better at identifying the 'truly low risk' patients with AF who do not even need antithrombotic therapy, whilst those with one or more stroke risk factors can be treated with oral anticoagulation, whether as well-controlled warfarin or one or the new oral anticoagulant drugs. The new European guidelines on AF have evolved to deemphasise the artificial low/moderate/high risk strata (as they were not very predictive of thromboembolism, anyway) and stressed a risk factor based approach (within the CHA(2) DS(2)-VASc score) given that stroke risk is a continuum. Those categorised as 'low risk' using the CHA(2) DS(2)-VASc score are 'truly low risk' for thromboembolism, and the CHA(2) DS(2)-VASc score performs as good as-and possibly better--than the CHADS(2) score in predicting those at 'high risk'. Indeed, those patients with a CHA(2) DS(2)-VASc score = 0 are 'truly low risk' so that no antithrombotic therapy is preferred, whilst in those with a CHA(2) DS(2)-VASc score of 1 or more, oral anticoagulation is recommended or preferred. Given that guidelines should be applicable for >80% of the time, for >80% of the patients, this stroke risk assessment approach covers the majority of the patients we commonly seen in everyday clinical practice, and considers the common stroke risk factors seen in these patients. The European guidelines also do stress that antithrombotic therapy is necessary in all patients with AF unless they are age <65 years and truly low risk. Indeed, some patients with 'female gender' only as a single risk factor (but still CHA(2) DS(2)-VASc score of 1, due to gender) do not need anticoagulation, especially if they fulfil the criterion of "age <65 and lone AF, and very low risk". In the European and Canadian guidelines, bleeding risk assessment is also emphasised, and the simple validated HAS-BLED score is recommended. A HAS-BLED score of ≥ 3 represents a sufficiently high risk such that caution and/or regular review of a patient is needed. It also makes the clinician think of correctable common bleeding risk factors, and the availability of such a score allows an informed assessment of bleeding risk in AF patients, when antithrombotic therapy is being initiated.
© 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22246948      PMCID: PMC6652729          DOI: 10.1002/clc.20969

Source DB:  PubMed          Journal:  Clin Cardiol        ISSN: 0160-9289            Impact factor:   2.882


  8 in total

1.  Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records.

Authors:  Gregory E Simon; Eric Johnson; Jean M Lawrence; Rebecca C Rossom; Brian Ahmedani; Frances L Lynch; Arne Beck; Beth Waitzfelder; Rebecca Ziebell; Robert B Penfold; Susan M Shortreed
Journal:  Am J Psychiatry       Date:  2018-05-24       Impact factor: 18.112

Review 2.  Formulating a More Comprehensive Stroke-Risk Evaluation Scale.

Authors:  Indranill Basu Ray; Sumit K Shah
Journal:  Tex Heart Inst J       Date:  2018-06-01

Review 3.  Use of Non-Vitamin K Antagonist Oral Anticoagulants in Special Patient Populations with Nonvalvular Atrial Fibrillation: A Review of the Literature and Application to Clinical Practice.

Authors:  Julie Kalabalik; Gail B Rattinger; Jesse Sullivan; Malgorzata Slugocki; Antonia Carbone; Anastasia Rivkin
Journal:  Drugs       Date:  2015-06       Impact factor: 9.546

Review 4.  High Incidence of Atrial Fibrillation or Flutter in Stroke Patients Who Have the Clinical Risk Factors for Stroke.

Authors:  Jacob I Haft; Louis E Teichholz
Journal:  J Atr Fibrillation       Date:  2013-08-31

5.  The risk stratification in atrial fibrillation.

Authors:  Domenico Prisco; Caterina Cenci; Elena Silvestri; Giacomo Emmi; Tommaso Barnini; Carlo Tamburini
Journal:  Intern Emerg Med       Date:  2012-10       Impact factor: 3.397

6.  Atrial Fibrillation Is Associated With Increased Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement: Insights From the Placement of Aortic Transcatheter Valve (PARTNER) Trial.

Authors:  Angelo B Biviano; Tamim Nazif; Jose Dizon; Hasan Garan; Jessica Fleitman; Dua Hassan; Samir Kapadia; Vasilis Babaliaros; Ke Xu; Rupa Parvataneni; Josep Rodes-Cabau; Wilson Y Szeto; William F Fearon; Danny Dvir; Todd Dewey; Mathew Williams; Michael J Mack; John G Webb; D Craig Miller; Craig R Smith; Martin B Leon; Susheel Kodali
Journal:  Circ Cardiovasc Interv       Date:  2016-01       Impact factor: 6.546

7.  Gender differences in patients with atrial fibrillation.

Authors:  Ralph F Bosch; David Pittrow; Anne Beltzer; Irmtraut Kruck; Wilhelm Kirch; Annette Kohlhaussen; Hendrik Bonnemeier
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2013-08-27

8.  Intensity of Left Atrial Spontaneous Echo Contrast as a Correlate for Stroke Risk Stratification in Patients with Nonvalvular Atrial Fibrillation.

Authors:  Yuanping Zhao; Lijing Ji; Jian Liu; Juefei Wu; Yan Wang; Shuxin Shen; Shengcun Guo; Rong Jian; Gangbin Chen; Xuan Wei; Wangjun Liao; Shelby Kutty; Yulin Liao; Jianping Bin
Journal:  Sci Rep       Date:  2016-06-09       Impact factor: 4.379

  8 in total

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