Literature DB >> 27957044

Stroke Risk Predictor Scoring Systems in Atrial Fibrillation.

Tze-Fan Chao M D And1, Shih-Ann Chen M D1.   

Abstract

An effective risk stratification which could help us identify high-risk patients who should take oral anticoagulants (OACs) is the key step for stroke prevention in atrial fibrillation (SPAF). Several scoring systems were available to estimate the risk of stroke in AF, including CHADS2, CHA2DS2-VASc, R2CHADS2 and ATRIA scores, which were constituted of different clinical risk factors. Recently, several new OACs (NOACs) were demonstrated to be at least as effective as warfarin in stroke prevention and were much safer regarding the risk of intra-cranial hemorrhage. In the era of NOACs, the roles of scoring schemes have shifted to identify patients with a truly low-risk of thromboembolic events, in whom OACs were not recommended. The CHA2DS2-VASc score is powerful in selecting "truly low-risk" patients who do not require anticoagulation. Whether the new-emerging scoring systems, R2CHADS2 and ATRIA scores, could further improve the stroke prediction in AF deserves a further study. ("SPAF", the same as the initials of a series of studies about aspirin, warfarin and stroke prevention in AF, was used as the abbreviation for "stroke prevention in atrial fibrillation" in this review article.).

Entities:  

Keywords:  ATRIA; Atrial Fibrillation; CHA2DS2-VASc; CHADS2; R2CHADS2; Stroke

Year:  2014        PMID: 27957044      PMCID: PMC4956132          DOI: 10.4022/jafib.998

Source DB:  PubMed          Journal:  J Atr Fibrillation        ISSN: 1941-6911


  30 in total

1.  Prognosis in patients with atrial fibrillation and CHA2DS2-VASc Score = 0 in a community-based cohort study.

Authors:  Sophie Taillandier; Jonas B Olesen; Nicolas Clémenty; Isabelle Lagrenade; Dominique Babuty; Gregory Y H Lip; Laurent Fauchier
Journal:  J Cardiovasc Electrophysiol       Date:  2012-01-23

2.  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

3.  Association of left atrial fibrosis detected by delayed-enhancement magnetic resonance imaging and the risk of stroke in patients with atrial fibrillation.

Authors:  Marcos Daccarett; Troy J Badger; Nazem Akoum; Nathan S Burgon; Christian Mahnkopf; Gaston Vergara; Eugene Kholmovski; Christopher J McGann; Dennis Parker; Johannes Brachmann; Rob S Macleod; Nassir F Marrouche
Journal:  J Am Coll Cardiol       Date:  2011-02-15       Impact factor: 24.094

4.  High sensitivity cardiac troponin T and interleukin-6 predict adverse cardiovascular events and mortality in anticoagulated patients with atrial fibrillation.

Authors:  V Roldán; F Marín; J Díaz; P Gallego; E Jover; M Romera; S Manzano-Fernández; T Casas; M Valdés; V Vicente; G Y H Lip
Journal:  J Thromb Haemost       Date:  2012-08       Impact factor: 5.824

Review 5.  Epidemiology and natural history of atrial fibrillation: clinical implications.

Authors:  S S Chugh; J L Blackshear; W K Shen; S C Hammill; B J Gersh
Journal:  J Am Coll Cardiol       Date:  2001-02       Impact factor: 24.094

6.  Canadian Cardiovascular Society atrial fibrillation guidelines 2010: prevention of stroke and systemic thromboembolism in atrial fibrillation and flutter.

Authors:  John A Cairns; Stuart Connolly; Sean McMurtry; Michael Stephenson; Mario Talajic
Journal:  Can J Cardiol       Date:  2011 Jan-Feb       Impact factor: 5.223

7.  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

8.  Prolonged atrium electromechanical interval is associated with stroke in patients with atrial fibrillation after catheter ablation.

Authors:  Tze-Fan Chao; Yenn-Jiang Lin; Hsuan-Ming Tsao; Shih-Lin Chang; Li-Wei Lo; Yu-Feng Hu; Ta-Chuan Tuan; Cheng-Hung Li; Hung-Yu Chang; Tsu-Juey Wu; Wen-Chung Yu; Shih-Ann Chen
Journal:  J Cardiovasc Electrophysiol       Date:  2012-12-17

9.  Does chronic kidney disease improve the predictive value of the CHADS2 and CHA2DS2-VASc stroke stratification risk scores for atrial fibrillation?

Authors:  V Roldán; F Marín; S Manzano-Fernandez; H Fernández; P Gallego; M Valdés; V Vicente; G Y H Lip
Journal:  Thromb Haemost       Date:  2013-03-21       Impact factor: 5.249

10.  Plasma asymmetric dimethylarginine and adverse events in patients with atrial fibrillation referred for coronary angiogram.

Authors:  Tze-Fan Chao; Tse-Min Lu; Yenn-Jiang Lin; Hsuan-Ming Tsao; Shih-Lin Chang; Li-Wei Lo; Yu-Feng Hu; Ta-Chuan Tuan; Ming-Hsiung Hsieh; Shih-Ann Chen
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

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  2 in total

Review 1.  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 2.  C2HEST score for atrial fibrillation risk prediction models: a Diagnostic Accuracy Tests meta-analysis.

Authors:  Habib Haybar; Kimia Shirbandi; Fakher Rahim
Journal:  Egypt Heart J       Date:  2021-12-04
  2 in total

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