Literature DB >> 26584938

Comparison between CHA2DS2-VASc and the new R2CHADS2 and ATRIA scores at predicting thromboembolic event in non-anticoagulated and anticoagulated patients with non-valvular atrial fibrillation.

Rami Riziq-Yousef Abumuaileq1, Emad Abu-Assi2, Andrea López-López3, Sergio Raposeiras-Roubin4, Moisés Rodríguez-Mañero5, Luis Martínez-Sande6, Javier García-Seara7, Xesús Alberte Fernandez-López8, Carlos Peña-Gil9, Jose Ramón González-Juanatey10.   

Abstract

BACKGROUND: Accurate risk stratification is considered the first and most important step in the management of patients with non-valvular atrial fibrillation (NVAF). We compared the performance of the widely used CHA2DS2-VASc and the recently developed R2CHADS2 and ATRIA scores, for predicting thromboembolic (TE) event in either non-anticoagulated or anticoagulated patients with NVAF.
METHODS: The non-anticoagulated cohort was comprised of 154 patients, whereas 911 patients formed the cohort of patients on vitamin-K-antagonist. The scores were computed using the criteria mentioned in their developmental cohorts. Measures of performance for the risk scores were evaluated at predicting TE event.
RESULTS: In the non-anticoagulated cohort, 9 TE events occurred during 11 ± 2.7 months. CHA2DS2-VASc showed significant association with TE occurrence: hazard ratio (HR) = 1.58 (95 % confidence interval [95 % IC] 1.01-2.46), but R2CHADS2 and ATRIA did not (HR = 1.23 (95 % CI 0.86-1.77) and 1.20 (95 % CI 0.93-1.56), respectively. In the anticoagulated cohort, after 10 ± 3 months of follow up, 18 TE events were developed. In that cohort, the three scores showed similar association with TE risk: HR = 1.49 (95 % CI 1.13-1.97), 1.41 (95 % CI 1.13-1.77) and 1.37 (95 % CI 1.12-1.66) for CHA2DS2-VASc, R2CHADS2 and ATRIA, respectively. In both cohorts, no TE event occurred in patients classified in the low risk category according to CHA2DS2-VASc or R2CHADS2.
CONCLUSIONS: In this study of NVAF patients, CHA2DS2-VASc has better association with TE events than the new R2CHADS2 and ATRIA risk scores in the non-anticoagulated cohort. CHA2DS2-VASc and R2CHADS2 can identify patients at truly low risk regardless of the anticoagulation status.

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Year:  2015        PMID: 26584938      PMCID: PMC4653932          DOI: 10.1186/s12872-015-0149-3

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


  21 in total

1.  Association of chronic kidney disease with atrial fibrillation among adults in the United States: REasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Authors:  Usman Baber; Virginia J Howard; Jonathan L Halperin; Elsayed Z Soliman; Xiao Zhang; William McClellan; David G Warnock; Paul Muntner
Journal:  Circ Arrhythm Electrophysiol       Date:  2010-11-13

2.  Antithrombotic therapy for atrial fibrillation: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.

Authors:  John J You; Daniel E Singer; Patricia A Howard; Deirdre A Lane; Mark H Eckman; Margaret C Fang; Elaine M Hylek; Sam Schulman; Alan S Go; Michael Hughes; Frederick A Spencer; Warren J Manning; Jonathan L Halperin; Gregory Y H Lip
Journal:  Chest       Date:  2012-02       Impact factor: 9.410

3.  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

4.  The value of the CHA2DS2-VASc score for refining stroke risk stratification in patients with atrial fibrillation with a CHADS2 score 0-1: a nationwide cohort study.

Authors:  Jonas Bjerring Olesen; Christian Torp-Pedersen; Morten Lock Hansen; Gregory Y H Lip
Journal:  Thromb Haemost       Date:  2012-04-03       Impact factor: 5.249

5.  Patient characteristics associated with oral anticoagulation control: results of the Veterans AffaiRs Study to Improve Anticoagulation (VARIA).

Authors:  A J Rose; E M Hylek; A Ozonoff; A S Ash; J I Reisman; D R Berlowitz
Journal:  J Thromb Haemost       Date:  2010-10       Impact factor: 5.824

6.  The CHA2DS2-VASc score identifies those patients with atrial fibrillation and a CHADS2 score of 1 who are unlikely to benefit from oral anticoagulant therapy.

Authors:  Michiel Coppens; John W Eikelboom; Robert G Hart; Salim Yusuf; Gregory Y H Lip; Paul Dorian; Olga Shestakovska; Stuart J Connolly
Journal:  Eur Heart J       Date:  2012-09-27       Impact factor: 29.983

7.  Renal dysfunction as a predictor of stroke and systemic embolism in patients with nonvalvular atrial fibrillation: validation of the R(2)CHADS(2) index in the ROCKET AF (Rivaroxaban Once-daily, oral, direct factor Xa inhibition Compared with vitamin K antagonism for prevention of stroke and Embolism Trial in Atrial Fibrillation) and ATRIA (AnTicoagulation and Risk factors In Atrial fibrillation) study cohorts.

Authors:  Jonathan P Piccini; Susanna R Stevens; YuChiao Chang; Daniel E Singer; Yuliya Lokhnygina; Alan S Go; Manesh R Patel; Kenneth W Mahaffey; Jonathan L Halperin; Günter Breithardt; Graeme J Hankey; Werner Hacke; Richard C Becker; Christopher C Nessel; Keith A A Fox; Robert M Califf
Journal:  Circulation       Date:  2012-12-03       Impact factor: 29.690

Review 8.  Stroke and bleeding risk in atrial fibrillation: navigating the alphabet soup of risk-score acronyms (CHADS2 , CHA2 DS2 -VASc, R2 CHADS2 , HAS-BLED, ATRIA, and more).

Authors:  Mikhail S Dzeshka; Deirdre A Lane; Gregory Y H Lip
Journal:  Clin Cardiol       Date:  2014-08-28       Impact factor: 2.882

9.  A comparison of risk stratification schemes for stroke in 79,884 atrial fibrillation patients in general practice.

Authors:  T P Van Staa; E Setakis; G L Di Tanna; D A Lane; G Y H Lip
Journal:  J Thromb Haemost       Date:  2011-01       Impact factor: 5.824

10.  A new risk scheme to predict ischemic stroke and other thromboembolism in atrial fibrillation: the ATRIA study stroke risk score.

Authors:  Daniel E Singer; Yuchiao Chang; Leila H Borowsky; Margaret C Fang; Niela K Pomernacki; Natalia Udaltsova; Kristi Reynolds; Alan S Go
Journal:  J Am Heart Assoc       Date:  2013-06-21       Impact factor: 5.501

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  1 in total

1.  Predicting Thromboembolic and Bleeding Event Risk in Patients with Non-Valvular Atrial Fibrillation: A Systematic Review.

Authors:  Ethan D Borre; Adam Goode; Giselle Raitz; Bimal Shah; Angela Lowenstern; Ranee Chatterjee; Lauren Sharan; Nancy M Allen LaPointe; Roshini Yapa; J Kelly Davis; Kathryn Lallinger; Robyn Schmidt; Andrzej Kosinski; Sana M Al-Khatib; Gillian D Sanders
Journal:  Thromb Haemost       Date:  2018-10-30       Impact factor: 6.681

  1 in total

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