Literature DB >> 24461143

CHADS2, CHA2DS2-VASc and HAS-BLED as predictors of outcome in patients with atrial fibrillation undergoing percutaneous coronary intervention.

Marja K Puurunen1, Tuomas Kiviniemi2, Axel Schlitt3, Andrea Rubboli4, Britta Dietrich3, Pasi Karjalainen5, Kai Nyman6, Matti Niemelä7, Gregory Y H Lip8, K E Juhani Airaksinen9.   

Abstract

INTRODUCTION: CHADS2 and CHA2DS2-VASc scores are used to estimate thromboembolic risk in atrial fibrillation (AF). HAS-BLED is recommended for bleeding risk prediction. Their value in predicting the outcome of AF patients after percutaneous coronary intervention (PCI) is unknown. Thus, our aim was to assess whether these simple risk scores are useful in predicting outcome in these patients.
MATERIALS AND METHODS: AFCAS is an observational, multicenter, prospective registry including patients (n=929) with AF referred for PCI. Primary study endpoints were 1) all cause mortality; 2) major adverse events (all-cause mortality, myocardial infarction, repeat revascularization, stent thrombosis, transient ischemic attack, stroke or other arterial thromboembolism; MACCE); and 3) bleeding at 12 months follow-up. CHADS2 and CHA2DS2-VASc scores and a modified HAS-BLED (mHAS-BLED) score (omitting labile INR and liver function) were calculated.
RESULTS: Patients were distributed as follows: CHADS2 low 29.5%, intermediate 55.2%, high 15.3%; CHA2DS2-VASc low 9.6%, intermediate 46.0%, high 44.5%. A high CHA2DS2-VASc score was predictive of all-cause mortality (p=0.02), whereas CHADS2 was not. High CHA2DS2-VASc score predicted MACCE (HR 2.24, 95%CI 1.21-4.17, p=0.01), as did a high CHADS2 score (HR 1.60, 95%CI 1.05-2.45, p=0.029). Their predictive performance was only modest (C indexes 0.56-0.57). CHADS2 or CHA2DS2-VASc scores were not associated with bleeding. High mHAS-BLED scores (≥3) were not associated with any of the study outcomes.
CONCLUSIONS: High CHA2DS2-VASc score was the best predictor of thrombotic outcomes after PCI in a high risk AF population. High mHAS-BLED score was not predictive of bleeding events. More accurate, simple risk scores are needed.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; CHA(2)DS(2)-VASc; CHADS(2); HAS-BLED; PCI; Risk scoring schemes

Mesh:

Year:  2014        PMID: 24461143     DOI: 10.1016/j.thromres.2014.01.007

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  22 in total

1.  Utility of the HAS-BLED score for risk stratification of patients with acute coronary syndrome.

Authors:  Diego Castini; Simone Persampieri; Ludovico Sabatelli; Massimo Erba; Giulia Ferrante; Federica Valli; Marco Centola; Stefano Carugo
Journal:  Heart Vessels       Date:  2019-04-10       Impact factor: 2.037

2.  Ischemic Stroke and Bleeding: Clinical Benefit of Anticoagulation in Atrial Fibrillation After Intracerebral Hemorrhage.

Authors:  Robert J Stanton; Mark H Eckman; Daniel Woo; Charles J Moomaw; Mary Haverbusch; Matthew L Flaherty; Dawn O Kleindorfer
Journal:  Stroke       Date:  2020-01-31       Impact factor: 7.914

3.  Outcomes after nonemergent electrical cardioversion for atrial arrhythmias.

Authors:  Benjamin Adam Steinberg; Phillip Joel Schulte; Paul Hofmann; Mads Ersbøll; John Hunter Alexander; Kathleen Broderick-Forsgren; Kevin Joseph Anstrom; Christopher Bull Granger; Jonathan Paul Piccini; Eric Jose Velazquez; Bimal Ramesh Shah
Journal:  Am J Cardiol       Date:  2015-02-18       Impact factor: 2.778

Review 4.  [Prediction in cerebrovascular diseases].

Authors:  G F Hamann
Journal:  Nervenarzt       Date:  2014-10       Impact factor: 1.214

5.  Utilization of NaF-PET/CT in assessing global cardiovascular calcification using CHADS2 and CHADS2-VASc scoring systems in high risk individuals for cardiovascular disease.

Authors:  Karthik Gonuguntla; Chaitanya Rojulpote; Shivaraj Patil; Abhijit Bhattaru; Pranav Karambelkar; Kiranmayi Vuthaluru; William Y Raynor; Austin J Borja; Vincent Zhang; Thomas J Werner; Oke Gerke; Poul Flemming Høilund-Carlsen; Abass Alavi
Journal:  Am J Nucl Med Mol Imaging       Date:  2020-12-15

6.  Real-world antithrombotic therapies and clinical outcomes after second-generation drug-eluting stent implantation in patients with atrial fibrillation: a multi-center cohort study.

Authors:  Hisao Otsuki; Junichi Yamaguchi; Kazuho Kamishima; Hiroyuki Arashi; Nobuhisa Hagiwara
Journal:  Heart Vessels       Date:  2018-03-16       Impact factor: 2.037

7.  Veterans Like Me: Formative evaluation of a patient decision aid design.

Authors:  Bryan Gibson; Jorie Butler; Katherine Doyon; Lee Ellington; Bruce E Bray; Qing Zeng
Journal:  J Biomed Inform       Date:  2016-09-10       Impact factor: 6.317

8.  Interventional Therapy for Bilateral Acute Renal Artery Embolism Caused by Paroxysmal Atrial Fibrillation.

Authors:  Mao-Xiao Nie; Chang-Rong Tian; Qin-Wen Bao; Yan Dong; Yun-Feng Yan; Quan-Ming Zhao
Journal:  Chin Med J (Engl)       Date:  2016-05-20       Impact factor: 2.628

9.  Accuracy of bleeding scores for patients presenting with myocardial infarction: a meta-analysis of 9 studies and 13 759 patients.

Authors:  Salma Taha; Fabrizio D'Ascenzo; Claudio Moretti; Pierluigi Omedè; Antonio Montefusco; Richard G Bach; Karen P Alexander; Roxana Mehran; Albert Ariza-Solé; Giuseppe Biondi Zoccai; Fiorenzo Gaita
Journal:  Postepy Kardiol Interwencyjnej       Date:  2015-09-28       Impact factor: 1.426

Review 10.  How to choose appropriate direct oral anticoagulant for patient with nonvalvular atrial fibrillation.

Authors:  Jordan K Schaefer; Robert D McBane; Waldemar E Wysokinski
Journal:  Ann Hematol       Date:  2015-12-11       Impact factor: 3.673

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