Literature DB >> 25546809

The impact of risk score (CHADS2 versus CHA2DS2-VASc) on long-term outcomes after atrial fibrillation ablation.

Victoria Jacobs1, Heidi T May1, Tami L Bair1, Brian G Crandall1, Michael Cutler1, John D Day1, J Peter Weiss1, Jeffrey S Osborn1, Joseph B Muhlestein1, Jeffrey L Anderson1, Charles Mallender1, T Jared Bunch2.   

Abstract

BACKGROUND: Risk stratification tools are needed to select the right candidates for catheter ablation of atrial fibrillation (AF). Both the CHADS2 and CHA2DS2-VASc scores have utility in predicting AF-related outcomes and guiding anticoagulation treatment.
OBJECTIVE: We sought to determine whether these risk scores predict long-term outcomes after AF ablation and whether one risk score provides comparatively superior performance.
METHODS: CHADS2 and CHA2DS2-VASc scores were calculated in 2179 patients who underwent a first ablation procedure for AF enrolled in the Intermountain Heart Collaborative Study. CHADS2 and CHA2DS2-VASc scores were categorized as 0-1, 2-4, and ≥5. Patient outcomes were analyzed over 5 years for AF/atrial flutter recurrence and major adverse cardiovascular events (MACE: composite of death, stroke, and heart failure hospitalization).
RESULTS: The mean age was 65.7 ± 10.5 years, and 61.1% were men. Both scores incrementally predicted risk of AF recurrence, stroke, heart failure, and death at 5 years. Increasing CHADS2 (hazard ratio [HR] 1.19; P < .001) and CHA2DS2-VASc (HR 1.15; P < .0001) scores were both associated with AF/atrial flutter recurrence. The results were similar for MACE where increasing CHADS2 (HR 1.54; P < .0001) and CHA2DS2-VASc (HR 1.32; P < .0001) scores were associated with risk. When CHADS2 and CHA2DS2-VASc scores were modeled together, only CHA2DS2-VASc scores significantly predicted AF recurrence (HR 1.13; P = .001), but both were associated with MACE.
CONCLUSION: Both the CHADS2 and CHA2DS2-VASc scores were excellent in stratifying patients for 5-year outcomes after AF ablation. However, the CHA2DS2-VASc score was superior to the CHADS2 score in predicting AF recurrence and AF-related morbidities.
Copyright © 2015 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ablation; Atrial fibrillation; Atrial fibrillation ablation; Diabetes; Heart failure; Hypertension; Outcomes; Risk factors; Stroke

Mesh:

Substances:

Year:  2014        PMID: 25546809     DOI: 10.1016/j.hrthm.2014.12.034

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  26 in total

Review 1.  Clinical scores used for the prediction of negative events in patients undergoing catheter ablation for atrial fibrillation.

Authors:  Falco Kosich; Katja Schumacher; Tatjana Potpara; Gregory Y Lip; Gerhard Hindricks; Jelena Kornej
Journal:  Clin Cardiol       Date:  2019-01-14       Impact factor: 2.882

2.  Left atrial strain assessed by three-dimensional speckle tracking echocardiography predicts atrial fibrillation recurrence after catheter ablation in patients with paroxysmal atrial fibrillation.

Authors:  Atsushi Mochizuki; Satoshi Yuda; Takefumi Fujito; Mina Kawamukai; Atsuko Muranaka; Daigo Nagahara; Shinya Shimoshige; Akiyoshi Hashimoto; Tetsuji Miura
Journal:  J Echocardiogr       Date:  2017-02-02

3.  Is left atrial appendage isolation a pyrrhic victory in the effort to treat atrial fibrillation?

Authors:  T Jared Bunch; John D Day
Journal:  J Thorac Dis       Date:  2017-01       Impact factor: 2.895

Review 4.  EHRA/HRS/APHRS/SOLAECE expert consensus on atrial cardiomyopathies: Definition, characterization, and clinical implication.

Authors:  Andreas Goette; Jonathan M Kalman; Luis Aguinaga; Joseph Akar; Jose Angel Cabrera; Shih Ann Chen; Sumeet S Chugh; Domenico Corradi; Andre D'Avila; Dobromir Dobrev; Guilherme Fenelon; Mario Gonzalez; Stephane N Hatem; Robert Helm; Gerhard Hindricks; Siew Yen Ho; Brian Hoit; Jose Jalife; Young-Hoon Kim; Gregory Y H Lip; Chang-Sheng Ma; Gregory M Marcus; Katherine Murray; Akihiko Nogami; Prashanthan Sanders; William Uribe; David R Van Wagoner; Stanley Nattel
Journal:  Heart Rhythm       Date:  2016-06-10       Impact factor: 6.343

5.  A Comparison of Oral Anticoagulant Use for Atrial Fibrillation in the Pre- and Post-DOAC Eras.

Authors:  Joshua D Brown; Anand R Shewale; Parinita Dherange; Jeffery C Talbert
Journal:  Drugs Aging       Date:  2016-06       Impact factor: 3.923

6.  Ablation for Persistent Atrial Fibrillation-Is There a Role for More Than PVI?

Authors:  Jason M Lappe; Michael J Cutler; John D Day; T Jared Bunch
Journal:  Curr Treat Options Cardiovasc Med       Date:  2016-03

7.  Predictors of arrhythmia recurrence in patients with heart failure undergoing left atrial ablation for atrial fibrillation.

Authors:  George Bazoukis; Konstantinos P Letsas; Gary Tse; Katerina K Naka; Panagiotis Korantzopoulos; Evangelia Ntzani; Konstantinos Vlachos; Athanasios Saplaouras; Eirini Pagkalidou; Lampros K Michalis; Antonios Sideris; Michael Efremidis
Journal:  Clin Cardiol       Date:  2018-01-22       Impact factor: 2.882

Review 8.  The burden of proof: The current state of atrial fibrillation prevention and treatment trials.

Authors:  Rosita Zakeri; David R Van Wagoner; Hugh Calkins; Tom Wong; Heather M Ross; E Kevin Heist; Timothy E Meyer; Peter R Kowey; Robert J Mentz; John G Cleland; Bertram Pitt; Faiez Zannad; Cecilia Linde
Journal:  Heart Rhythm       Date:  2017-02-02       Impact factor: 6.343

9.  European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population.

Authors:  Jens Cosedis Nielsen; Yenn-Jiang Lin; Marcio Jansen de Oliveira Figueiredo; Alireza Sepehri Shamloo; Alberto Alfie; Serge Boveda; Nikolaos Dagres; Dario Di Toro; Lee L Eckhardt; Kenneth Ellenbogen; Carina Hardy; Takanori Ikeda; Aparna Jaswal; Elizabeth Kaufman; Andrew Krahn; Kengo Kusano; Valentina Kutyifa; Han S Lim; Gregory Y H Lip; Santiago Nava-Townsend; Hui-Nam Pak; Gerardo Rodríguez Diez; William Sauer; Anil Saxena; Jesper Hastrup Svendsen; Diego Vanegas; Marmar Vaseghi; Arthur Wilde; T Jared Bunch; Alfred E Buxton; Gonzalo Calvimontes; Tze-Fan Chao; Lars Eckardt; Heidi Estner; Anne M Gillis; Rodrigo Isa; Josef Kautzner; Philippe Maury; Joshua D Moss; Gi-Byung Nam; Brian Olshansky; Luis Fernando Pava Molano; Mauricio Pimentel; Mukund Prabhu; Wendy S Tzou; Philipp Sommer; Janice Swampillai; Alejandro Vidal; Thomas Deneke; Gerhard Hindricks; Christophe Leclercq
Journal:  Europace       Date:  2020-08-01       Impact factor: 5.214

10.  A comparison of the CHARGE-AF and the CHA2DS2-VASc risk scores for prediction of atrial fibrillation in the Framingham Heart Study.

Authors:  Ingrid E Christophersen; Xiaoyan Yin; Martin G Larson; Steven A Lubitz; Jared W Magnani; David D McManus; Patrick T Ellinor; Emelia J Benjamin
Journal:  Am Heart J       Date:  2016-05-17       Impact factor: 4.749

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