Literature DB >> 31782613

Accuracy of HAS-BLED and other bleeding risk assessment tools in predicting major bleeding events in atrial fibrillation: A network meta-analysis.

Guodong Chang1,2, Qiufen Xie1, Lingyue Ma1, Kun Hu1, Zhuo Zhang1, Guangyan Mu1, Yimin Cui1.   

Abstract

BACKGROUND: Preventing thrombosis is an important part of atrial fibrillation (AF) treatment. However, it may increase the risk of bleeding, and bleeding risk assessment tools' predictive value remains unclear. This network meta-analysis investigated the sensitivity and specificity of HAS-BLED, and other bleeding risk assessment tools, to predict major bleeding events in AF patients.
METHODS: The PubMed, EMBASE, and Cochrane Central Register of Controlled Trials databases were searched using keywords, including "AF," "bleeding," and "HAS-BLED," for results published through 30 November 2018. The predictive sensitivity and specificity of each bleeding risk assessment tool was analyzed by network meta-analysis.
RESULTS: Our analysis included 18 studies, recruiting a total of 321 888 people. The bleeding risk assessment tools analyzed in this study included the ABC-bleeding score, ATRIA, European score, GARFIELD-AF, HAS-BLED, HEMORR2HAGES, ORBIT, Shireman, and mOBRI. A comprehensive analysis of sensitivity and specificity, based on an inconsistency model, showed that European score, ABC, and mOBRI have relatively high-sensitivity but low-specificity tools, whereas HAS-BLED and HEMORR2HAGES have balanced sensitivity and specificity. ORBIT, ATRIA, Shireman, and GARFIELD-AF had relatively high specificity but low sensitivity. A consistency model analysis showed similar results.
CONCLUSIONS: HAS-BLED is a balanced bleeding risk assessment tool in terms of sensitivity and specificity, whereas the European score, ABC, and mOBRI are high-sensitivity tools and ORBIT, ATRIA, Shireman, and GARFIELD-AF are high-specificity tools.
© 2019 International Society on Thrombosis and Haemostasis.

Entities:  

Keywords:  atrial fibrillation; hemorrhage; meta-analysis; risk assessment; sensitivity and specificity

Mesh:

Substances:

Year:  2020        PMID: 31782613     DOI: 10.1111/jth.14692

Source DB:  PubMed          Journal:  J Thromb Haemost        ISSN: 1538-7836            Impact factor:   5.824


  3 in total

1.  Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme-A Post Hoc Analysis.

Authors:  Yung-Chuan Huang; Yu-Chen Cheng; Mao-Jhen Jhou; Mingchih Chen; Chi-Jie Lu
Journal:  J Pers Med       Date:  2022-05-06

2.  Mitral Regurgitation and Body Mass Index Increase the Predictability of Perioperative Bleeding in Anticoagulated Patients With Nonvalvular Atrial Fibrillation.

Authors:  Hao Huang; Chi Cai; Wei Hua; Nixiao Zhang; Hongxia Niu; Xuhua Chen; Jing Wang; Yuhe Jia; Jianmin Chu; Min Tang; Shu Zhang
Journal:  Front Cardiovasc Med       Date:  2022-03-28

3.  Laboratory Test Predictors for Major Bleeding in Elderly (≥80 Years) Patients With Nonvalvular Atrial Fibrillation Treated With Edoxaban 15 mg: Sub-Analysis of the ELDERCARE-AF Trial.

Authors:  Takeshi Mikami; Kagami Hirabayashi; Keisuke Okawa; Tetsuo Betsuyaku; Saori Watanabe; Yuki Imamura; Kimihiko Tanizawa; Takuya Hayashi; Masaharu Akao; Takeshi Yamashita; Ken Okumura
Journal:  J Am Heart Assoc       Date:  2022-09-03       Impact factor: 6.106

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.