Literature DB >> 28844514

Comparison of the CHA2DS2-VASc, CHADS2, HAS-BLED, ORBIT, and ATRIA Risk Scores in Predicting Non-Vitamin K Antagonist Oral Anticoagulants-Associated Bleeding in Patients With Atrial Fibrillation.

Xiaoxi Yao1, Bernard J Gersh2, Lindsey R Sangaralingham3, David M Kent4, Nilay D Shah5, Neena S Abraham6, Peter A Noseworthy7.   

Abstract

The increasing adoption of non-vitamin K antagonist oral anticoagulants (NOACs) for stroke prevention in atrial fibrillation (AF) necessitates a reassessment of bleeding risk scores. Because known risk factors for bleeding are largely the same as for stroke, we hypothesize that stroke risk scores could also be used to identify patients with high bleeding risks. We aimed to compare the performance of 2 stroke risk scores (Congestive Heart failure, hypertension, Age ≥75 [doubled], Diabetes, Stroke [doubled], Vascular disease, Age 65-74, and Sex [female] [CHA2DS2-VASc] and Cardiac failure, Hypertension, Age, Diabetes, Stroke [Doubled] [CHADS2]) and 3 bleeding risk scores (hypertension, abnormal renal/liver function [1 point each], stroke, bleeding history or predisposition, labile INR, elderly [.65 years], drugs/alcohol concomitantly [1 point each] [HAS-BLED], Outcomes Registry for Better Informed Treatment of Atrial Fibrillation [ORBIT], and AnTicoagulation and Risk factors In Atrial fibrillation [ATRIA]) in predicting major and intracranial bleeding. Using a large US commercial insurance database, we identified 39,539 patients with nonvalvular AF who started NOACs between October 1, 2010 and June 30, 2015. The performance of risk scores was compared using C-statistic and net reclassification improvement (NRI). Over a total of 22,583 person-years, 665 patients (2.94% per year) had major bleeding, including 74 intracranial hemorrhages (0.33% per year). For the prediction of major bleeding, CHA2DS2-VASc had the highest C-statistic both as a continuous score (C-statistic 0.68) and as a categorical score (C-statistic 0.65). For the prediction of intracranial bleeding, CHADS2 had the highest C-statistic both as a continuous score (C-statistic 0.66) and as a categorical score (C-statistic 0.66). There were no statistically significant differences between scores based on NRI. In conclusion, CHA2DS2-VASc, CHADS2, HAS-BLED, ORBIT, and ATRIA had similar, albeit modest, performance in predicting NOAC-associated bleeding in patients with AF. Careful assessment and active management of bleeding risk factors may be warranted in all patients on NOACs who have high stroke risk scores.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28844514     DOI: 10.1016/j.amjcard.2017.07.051

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  14 in total

1.  Vitamin-K-antagonist phenprocoumon versus low-dose direct oral anticoagulants (DOACs) in patients with atrial fibrillation: a real-world analysis of German claims data.

Authors:  Lisette Warkentin; Susann Hueber; Barthold Deiters; Florian Klohn; Thomas Kühlein
Journal:  Thromb J       Date:  2022-05-26

2.  Comparison of clinical performance of four gastrointestinal bleeding risk scores in Chinese patients with atrial fibrillation receiving oral anticoagulants.

Authors:  Mei-Na Lv; Xiao-Chun Zheng; Hong-Qin Zhang; Fang-da Xu; Ting-Ting Wu; Wen-Jun Chen; Xiao-Tong Xia; Jing-Lan Fu; Shao-Jun Jiang; Jin-Hua Zhang
Journal:  J Thromb Thrombolysis       Date:  2021-01       Impact factor: 2.300

Review 3.  Sex Differences in Atrial Fibrillation-Update on Risk Assessment, Treatment, and Long-Term Risk.

Authors:  Charlotte J Bai; Nidhi Madan; Shaza Alshahrani; Neelum T Aggarwal; Annabelle Santos Volgman
Journal:  Curr Treat Options Cardiovasc Med       Date:  2018-08-27

4.  The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement: Explanation and Elaboration.

Authors:  David M Kent; David van Klaveren; Jessica K Paulus; Ralph D'Agostino; Steve Goodman; Rodney Hayward; John P A Ioannidis; Bray Patrick-Lake; Sally Morton; Michael Pencina; Gowri Raman; Joseph S Ross; Harry P Selker; Ravi Varadhan; Andrew Vickers; John B Wong; Ewout W Steyerberg
Journal:  Ann Intern Med       Date:  2019-11-12       Impact factor: 25.391

5.  Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.

Authors:  Jeph Herrin; Neena S Abraham; Xiaoxi Yao; Peter A Noseworthy; Jonathan Inselman; Nilay D Shah; Che Ngufor
Journal:  JAMA Netw Open       Date:  2021-05-03

6.  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

7.  Paraplegia Caused by Spontaneous Spinal Hemorrhage in a Patient Undergoing Rivaroxaban Therapy.

Authors:  Wiktoria B Feret; Ewa Kwiatkowska; Leszek Domański
Journal:  Am J Case Rep       Date:  2020-07-07

8.  The impact of diabetes and osteoarthritis on the occurrence of stroke, acute myocardial infarction, and heart failure among older adults with non-valvular atrial fibrillation in Hawaii: a retrospective observational cohort study.

Authors:  Masako Matsunaga; John J Chen; Mayumi Jijiwa; Eunjung Lim
Journal:  BMC Public Health       Date:  2021-06-21       Impact factor: 3.295

9.  Comparison of HAS-BLED with other risk models for predicting the bleeding risk in anticoagulated patients with atrial fibrillation: A PRISMA-compliant article.

Authors:  Junquan Zeng; Peng Yu; Wenjuan Cui; Xiaoping Wang; Jianyong Ma; Changai Zeng
Journal:  Medicine (Baltimore)       Date:  2020-06-19       Impact factor: 1.817

10.  Bleeding Risk Scores in Atrial Fibrillation: Helpful or Harmful?

Authors:  Marissa K Edmiston; William R Lewis
Journal:  J Am Heart Assoc       Date:  2018-09-18       Impact factor: 5.501

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.