Literature DB >> 25323252

Using the CHA2DS2-VASc score for refining stroke risk stratification in 'low-risk' Asian patients with atrial fibrillation.

Tze-Fan Chao1, Chia-Jen Liu2, Kang-Ling Wang1, Yenn-Jiang Lin1, Shih-Lin Chang1, Li-Wei Lo1, Yu-Feng Hu1, Ta-Chuan Tuan1, Tzeng-Ji Chen3, Gregory Y H Lip4, Shih-Ann Chen5.   

Abstract

BACKGROUND: A new scoring system, the anticoagulation and risk factors in atrial fibrillation (ATRIA) score, was proposed for risk stratification in patients with atrial fibrillation (AF). Whether the ATRIA scheme can adequately identify patients who are at low risk of ischemic stroke remains unknown.
OBJECTIVES: The goal of the present study was to compare the performance of ATRIA to that of CHA2DS2-VASc (congestive heart failure, hypertension, age ≥75, diabetes mellitus, prior stroke or transient ischemic attack, vascular disease, age 65 to 74, female) scores for stroke prediction.
METHODS: This study used the National Health Insurance research database in Taiwan. A total of 186,570 AF patients without antithrombotic therapy were selected as the study cohort. The clinical endpoint was the occurrence of ischemic stroke.
RESULTS: During the follow-up of 3.4 ± 3.7 years, 23,723 patients (12.7%) experienced ischemic stroke. The CHA2DS2-VASc score performed better than ATRIA score in predicting ischemic stroke as assessed by c-indexes (0.698 vs. 0.627, respectively; p < 0.0001). The CHA2DS2-VASc score also improved the net reclassification index by 11.7% compared with ATRIA score (p < 0.0001). Among 73,242 patients categorized as low-risk on the basis of an ATRIA score of 0 to 5, the CHA2DS2-VASc scores ranged from 0 to 7, and annual stroke rates ranged from 1.06% to 13.33% at 1-year follow-up and from 1.15% to 8.00% at 15-year follow-up. The c-index of CHA2DS2-VASc score (0.629) was significantly higher than that of the ATRIA score (0.593) in this "low-risk" category (p < 0.0001).
CONCLUSIONS: Patients categorized as low-risk by use of the ATRIA score were not necessarily low-risk, and the annual stroke rates can be as high as 2.95% at 1-year follow-up and 2.84% at 15-year follow-up. In contrast, patients with a CHA2DS2-VASc score of 0 had a truly low risk of ischemic stroke, with an annual stroke rate of approximately 1%.
Copyright © 2014 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ATRIA score; CHA(2)DS(2)-VASc score; atrial fibrillation; ischemic stroke

Mesh:

Year:  2014        PMID: 25323252     DOI: 10.1016/j.jacc.2014.06.1203

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  44 in total

1.  Using the scoring schemes in the right way: the dynamic assessment of stroke and bleeding risk in patients with atrial fibrillation.

Authors:  Tze-Fan Chao; Shih-Ann Chen
Journal:  J Thorac Dis       Date:  2018-06       Impact factor: 2.895

2.  Combination of Oral Anticoagulants and Single Antiplatelets versus Triple Therapy in Nonvalvular Atrial Fibrillation and Acute Coronary Syndrome: Stroke Prevention among Asians.

Authors:  Anwar Santoso; Sunu B Raharjo
Journal:  Int J Angiol       Date:  2020-05-06

3.  Stroke or left atrial thrombus prediction using antithrombin III and mean platelet volume in patients with nonvalvular atrial fibrillation.

Authors:  Seo-Won Choi; Bo-Bae Kim; Dong-Hyun Choi; Geon Park; Byung Chul Shin; Heesang Song; DongHun Kim; Dong-Min Kim
Journal:  Clin Cardiol       Date:  2017-08-14       Impact factor: 2.882

Review 4.  The Application and Future of Big Database Studies in Cardiology: A Single-Center Experience.

Authors:  Kuang-Tso Lee; Ai-Ling Hour; Ben-Chang Shia; Pao-Hsien Chu
Journal:  Acta Cardiol Sin       Date:  2017-11       Impact factor: 2.672

5.  Dynamic stroke risk scores of atrial fibrillation.

Authors:  Minjae Yoon; Boyoung Joung
Journal:  J Thorac Dis       Date:  2018-03       Impact factor: 2.895

Review 6.  Stroke risk assessment in atrial fibrillation: risk factors and markers of atrial myopathy.

Authors:  Brandon W Calenda; Valentin Fuster; Jonathan L Halperin; Christopher B Granger
Journal:  Nat Rev Cardiol       Date:  2016-07-07       Impact factor: 32.419

Review 7.  Socioeconomic Status and Cardiovascular Outcomes: Challenges and Interventions.

Authors:  William M Schultz; Heval M Kelli; John C Lisko; Tina Varghese; Jia Shen; Pratik Sandesara; Arshed A Quyyumi; Herman A Taylor; Martha Gulati; John G Harold; Jennifer H Mieres; Keith C Ferdinand; George A Mensah; Laurence S Sperling
Journal:  Circulation       Date:  2018-05-15       Impact factor: 29.690

Review 8.  Risk of Ischemic Stroke and Stroke Prevention in Patients with Atrial Fibrillation and Renal Dysfunction.

Authors:  Tze-Fan Chao; Shih-Ann Chen
Journal:  J Atr Fibrillation       Date:  2015-06-30

9.  Association of a Family History of Atrial Fibrillation With Incidence and Outcomes of Atrial Fibrillation: A Population-Based Family Cohort Study.

Authors:  Shang-Hung Chang; Chang-Fu Kuo; I-Jun Chou; Lai-Chu See; Kuang-Hui Yu; Shue-Fen Luo; Lu-Hsiang Huang; Weiya Zhang; Michael Doherty; Ming-Shien Wen; Chi-Tai Kuo; Yung-Hsin Yeh
Journal:  JAMA Cardiol       Date:  2017-08-01       Impact factor: 14.676

10.  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.

Authors:  Rami Riziq-Yousef Abumuaileq; Emad Abu-Assi; Andrea López-López; Sergio Raposeiras-Roubin; Moisés Rodríguez-Mañero; Luis Martínez-Sande; Javier García-Seara; Xesús Alberte Fernandez-López; Carlos Peña-Gil; Jose Ramón González-Juanatey
Journal:  BMC Cardiovasc Disord       Date:  2015-11-19       Impact factor: 2.298

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