Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries

Author:

Lim Toon Wei12ORCID,Camm Alan John3ORCID,Virdone Saverio4,Singer Daniel E.5,Bassand Jean P.46,Fonarow Gregg C.7ORCID,Fox Keith A. A.8,Ezekowitz Michael9,Gersh Bernard J.10,Kayani Gloria4,Hylek Elaine M.11,Kakkar Ajay K.412,Mahaffey Kenneth W.13,Pieper Karen S.414,Peterson Eric D.1415,Piccini Jonathan P.1415ORCID,

Affiliation:

1. National Heart Centre Singapore Singapore

2. National University Hospital Singapore Singapore

3. Cardiology Clinical Academic Group Molecular & Clinical Sciences Institute St. George's University of London London UK

4. Thrombosis Research Institute London UK

5. Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA

6. Department of Cardiology University of Besançon Besançon France

7. Ronald Reagan‐UCLA Medical Center Los Angeles California USA

8. Department of Cardiovascular Science Centre for Cardiovascular Science, University of Edinburgh Edinburgh UK

9. Sidney Kimmel Medical School Thomas Jefferson University Philadelphia Pennsylvania USA

10. Mayo Clinic College of Medicine and Science Rochester Minnesota USA

11. Department of Medicine Boston University School of Medicine Boston Massachusetts USA

12. Department of Surgery University College London London UK

13. Stanford Center for Clinical Research Stanford School of Medicine Stanford California USA

14. Department of Cardiac Electrophysiology Duke Clinical Research Institute Durham North Carolina USA

15. Duke University School of Medicine Durham North Carolina USA

Abstract

AbstractBackgroundAn unmet need exists to reliably predict the risk of intracranial hemorrhage (ICH) in patients with atrial fibrillation (AF) treated with oral anticoagulants (OACs).HypothesisAn externally validated model improves ICH risk stratification.MethodsIndependent factors associated with ICH were identified by Cox proportional hazard modeling, using pooled data from the GARFIELD‐AF (Global Anticoagulant Registry in the FIELD‐Atrial Fibrillation) and ORBIT‐AF (Outcomes Registry for Better Informed Treatment of Atrial Fibrillation) registries. A predictive model was developed and validated by bootstrap sampling and by independent data from the Danish National Patient Register.ResultsIn the combined training data set, 284 of 53 878 anticoagulated patients had ICH over a 2‐year period (0.31 per 100 person‐years; 95% confidence interval [CI]: 0.28–0.35). Independent predictors of ICH included: older age, prior stroke or transient ischemic attack, concomitant antiplatelet (AP) use, and moderate‐to‐severe chronic kidney disease (CKD). Vitamin K antagonists (VKAs) were associated with a significantly higher risk of ICH compared with non‐VKA oral anticoagulants (NOACs) (adjusted hazard ratio: 1.61; 95% CI: 1.25–2.08; p = .0002). The ability of the model to discriminate individuals in the training set with and without ICH was fair (optimism‐corrected C‐statistic: 0.68; 95% CI: 0.65–0.71) and outperformed three previously published methods. Calibration between predicted and observed ICH probabilities was good in both training and validation data sets.ConclusionsAge, prior ischemic events, concomitant AP therapy, and CKD were important risk factors for ICH in anticoagulated AF patients. Moreover, ICH was more frequent in patients receiving VKA compared to NOAC. The new validated model is a step toward mitigating this potentially lethal complication.

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3