Literature DB >> 23167998

Validation of contemporary stroke and bleeding risk stratification scores in non-anticoagulated Chinese patients with atrial fibrillation.

Yutao Guo1, Stavros Apostolakis, Andrew D Blann, Haijun Wang, Xiaoning Zhao, Yu Zhang, Dexian Zhang, Jingling Ma, Yutang Wang, Gregory Y H Lip.   

Abstract

BACKGROUND: Risk stratification schemes assessing stroke and thromboembolism (stroke/TE) and bleeding relating to atrial fibrillation (AF) have largely been derived and validated in Western populations. We assessed risk factors that constitute scores for assessing stroke/TE (CHADS2, CHA2DS2-VASc) and bleeding (HAS-BLED), and the predictive value of these scores in a large cohort of Chinese patients with AF. METHODS AND
RESULTS: We studied 1034 AF patients (27.1% female, median age 75; 85.6% non-anticoagulated) with mean follow-up of 1.9 years. On multivariate analysis, vascular disease was independently associated with stroke/TE in non-anticoagulated patients (p=0.04). In patients with a CHADS2 or CHA2DS2-VASc score=1, the rate of stroke/TE was 2.9% and 0.9% respectively, but in patients at "high risk" (scores ≥ 2), this rate was 4.6% and 4.5%, respectively. The c-statistics for predicting stroke/TE with CHADS2 and CHA2DS2-VASc were 0.58 (p=0.109) and 0.72 (p<0.001), respectively. Compared to CHADS2, the use of CHA2DS2-VASc would result in a Net Reclassification Improvement (NRI) of 16.6% (p=0.009) and an Integrated Discrimination Improvement (IDI) of 1.1% (p=0.002). Cumulative survival of the patients with a CHA2DS2-VASc score≥2 was decreased compared to those with a CHA2DS2-VASc score 0-1 (p<0.001), but the CHADS2 was not predictive of mortality. There was an increased risk of major bleeding with increasing HAS-BLED score (c-statistic 0.61, 95% CI: 0.51-0.71, p=0.042).
CONCLUSIONS: Vascular disease was a strong independent predictor of stroke/TE in Chinese patients with AF. The CHA2DS2-VASc score performed better than CHADS2 in predicting stroke/TE in this Chinese AF population. Cumulative survival of the patients at high risk with the CHA2DS2-VASc score (but not using CHADS2) was significantly decreased.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Bleeding; Chinese population; Risk assessment; Stroke

Mesh:

Year:  2012        PMID: 23167998     DOI: 10.1016/j.ijcard.2012.10.052

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  19 in total

Review 1.  Meta-analysis of CHADS2 versus CHA2DS2-VASc for predicting stroke and thromboembolism in atrial fibrillation patients independent of anticoagulation.

Authors:  Wen-Gen Zhu; Qin-Mei Xiong; Kui Hong
Journal:  Tex Heart Inst J       Date:  2015-02-01

Review 2.  Global epidemiology of atrial fibrillation.

Authors:  Faisal Rahman; Gene F Kwan; Emelia J Benjamin
Journal:  Nat Rev Cardiol       Date:  2014-08-12       Impact factor: 32.419

Review 3.  The Indian consensus guidance on stroke prevention in atrial fibrillation: An emphasis on practical use of nonvitamin K oral anticoagulants.

Authors:  Jamshed Dalal; Abhay Bhave; Abraham Oomman; Amit Vora; Anil Saxena; Dhiman Kahali; Fali Poncha; D S Gambhir; Jaydip Ray Chaudhuri; Nakul Sinha; Saumitra Ray; S S Iyengar; Suvro Banerjee; Upendra Kaul
Journal:  Indian Heart J       Date:  2015-11-24

4.  Time Trends of Aspirin and Warfarin Use on Stroke and Bleeding Events in Chinese Patients With New-Onset Atrial Fibrillation.

Authors:  Yutao Guo; Hao Wang; Yingchun Tian; Yutang Wang; Gregory Y H Lip
Journal:  Chest       Date:  2015-07       Impact factor: 9.410

Review 5.  Stroke Prevention in Atrial Fibrillation.

Authors:  Xu Gao; Rod Passman
Journal:  Curr Cardiol Rep       Date:  2022-09-22       Impact factor: 3.955

6.  Incidence of ischemic stroke and systemic embolism in patients with hypertrophic cardiomyopathy, nonvalvular atrial fibrillation, CHA2DS2-VASc score of ≤1 and without anticoagulant therapy.

Authors:  Yin-Jian Yang; Jin-Qing Yuan; Chao-Mei Fan; Jie-Lin Pu; Pi-Hua Fang; Jian Ma; Xi-Ying Guo; Yi-Shi Li
Journal:  Heart Vessels       Date:  2015-08-01       Impact factor: 2.037

7.  Assessing bleeding risk in 4824 Asian patients with atrial fibrillation: The Beijing PLA Hospital Atrial Fibrillation Project.

Authors:  Yu-Tao Guo; Ye Zhang; Xiang-Min Shi; Zhao-Liang Shan; Chun-Jiang Wang; Yu-Tang Wang; Yun-Dai Chen; Gregory Y H Lip
Journal:  Sci Rep       Date:  2016-08-25       Impact factor: 4.379

8.  Advanced Left Atrial Remodeling and Appendage Contractile Dysfunction in Women Than in Men Among the Patients With Atrial Fibrillation: Potential Mechanism for Stroke.

Authors:  Hee Tae Yu; Jihei Sara Lee; Tae-Hoon Kim; Jae-Sun Uhm; Boyoung Joung; Geu-Ru Hong; Moon-Hyoung Lee; Chi Young Shim; Hui-Nam Pak
Journal:  J Am Heart Assoc       Date:  2016-07-11       Impact factor: 5.501

9.  Prediction of Thromboembolic Events in Heart Failure Patients in Sinus Rhythm: The Hong Kong Heart Failure Registry.

Authors:  Jo-Jo Hai; Pak-Hei Chan; Yap-Hang Chan; Carol-Ho-Yi Fong; Duo Huang; Wen-Hua Li; Li-Xue Yin; Chu-Pak Lau; Hung-Fat Tse; Chung-Wah Siu
Journal:  PLoS One       Date:  2016-12-30       Impact factor: 3.240

10.  Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention.

Authors:  Shirley V Wang; James R Rogers; Yinzhu Jin; David W Bates; Michael A Fischer
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

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