Literature DB >> 23962731

The emerging role of biomarkers in atrial fibrillation.

Jelena Kornej1, Stavros Apostolakis, Andreas Bollmann, Gregory Y H Lip.   

Abstract

Improved diagnostic techniques have identified various biomarkers that might play an important role in prediction of atrial fibrillation (AF) and related outcomes (cardio- and cerebrovascular events, and mortality and rhythm outcomes). Biomarkers can include blood markers (e.g., von Willebrand factor, D-dimer, natriuretic peptides, etc.), urine (e.g., proteinuria, estimated glomerular filtration rate, or creatinine clearance), cardiac imaging (echocardiography; transthoracic or transoesophageal), or cerebral imaging (e.g., computed tomography or magnetic resonance imaging), which can provide additional refinement to clinical stroke risk stratification for identification of "high risk" subjects. Although inclusion of some blood-based biomarkers (e.g., von Willebrand factor, D-dimer) in existing clinical stroke risk stratification schemes might improve their predictive value for identifying "high risk" patients, this concept might be outdated and overtaken by new developments in thromboprophylaxis (which now focus on initial identification of "low risk" patients who do not need any antithrombotic therapy, followed by patients with 1 or more stroke risk factors, to whom anticoagulation can be offered), and additional questionable practicality in "everyday" practice. Biomarkers could be applied as a "rule out" approach or as surrogates of anticoagulation efficacy in trials of new antithrombotic strategies. The present review aims to provide an update of the role of biomarkers in AF, with particular focus on AF outcomes.
Copyright © 2013 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23962731     DOI: 10.1016/j.cjca.2013.04.016

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  14 in total

1.  Von Willebrand Factor: Multimeric Structure and Functional Activity in Patients With Atrial Fibrillation With and Without Oral Anticoagulation.

Authors:  Sandra Lopez-Castaneda; Ignacio Valencia-Hernández; Carlos Arean; Daniel Godínez-Hernández; Martha Eva Viveros-Sandoval
Journal:  Clin Appl Thromb Hemost       Date:  2017-06-15       Impact factor: 2.389

Review 2.  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

Review 3.  Atrial fibrillation therapy now and in the future: drugs, biologicals, and ablation.

Authors:  Christopher E Woods; Jeffrey Olgin
Journal:  Circ Res       Date:  2014-04-25       Impact factor: 17.367

Review 4.  Novel mediators and biomarkers of thrombosis.

Authors:  Travis Sexton; Susan S Smyth
Journal:  J Thromb Thrombolysis       Date:  2014-01       Impact factor: 2.300

Review 5.  Circulating Biomarkers Predictive of Postoperative Atrial Fibrillation.

Authors:  Mohit K Turagam; Mahek Mirza; Paul H Werner; Jasbir Sra; David C Kress; A Jamil Tajik; Arshad Jahangir
Journal:  Cardiol Rev       Date:  2016 Mar-Apr       Impact factor: 2.644

6.  Patients with atrial fibrillation complicated by coronary artery disease. Is a single value of sensitive cardiac troponin I on admission enough?

Authors:  Dirk Bandorski; Harilaos Bogossian; Olaf Braun; Gerrit Frommeyer; Markus Zarse; Reinhard Höltgen; Christoph Liebetrau
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2015-02-05

7.  Population-based study of blood biomarkers in prediction of subacute recurrent stroke.

Authors:  Helen C Segal; Annette I Burgess; Debbie L Poole; Ziyah Mehta; Louise E Silver; Peter M Rothwell
Journal:  Stroke       Date:  2014-08-26       Impact factor: 7.914

Review 8.  Predictive Role of Coagulation, Fibrinolytic, and Endothelial Markers in Patients with Atrial Fibrillation, Stroke, and Thromboembolism: A Meta-Analysis, Meta-Regression, and Systematic Review.

Authors:  Alexander Weymann; Anton Sabashnikov; Sadeq Ali-Hasan-Al-Saegh; Aron-Frederik Popov; Seyed Jalil Mirhosseini; William L Baker; Mohammadreza Lotfaliani; Tong Liu; Hamidreza Dehghan; Senol Yavuz; Michel Pompeu Barros de Oliveira Sá; Jae-Sik Jang; Mohamed Zeriouh; Lei Meng; Fabrizio D'Ascenzo; Abhishek J Deshmukh; Guiseppe Biondi-Zoccai; Pascal M Dohmen; Hugh Calkins; Integrated Meta-Analysis Of Cardiac Cardiac Surgery And Cardiology-Group Imcsc-Group
Journal:  Med Sci Monit Basic Res       Date:  2017-03-31

Review 9.  Prediction of New-Onset and Recurrent Atrial Fibrillation by Complete Blood Count Tests: A Comprehensive Systematic Review with Meta-Analysis.

Authors:  Alexander Weymann; Sadeq Ali-Hasan-Al-Saegh; Anton Sabashnikov; Aron-Frederik Popov; Seyed Jalil Mirhosseini; Tong Liu; Mohammadreza Lotfaliani; Michel Pompeu Barros de Oliveira Sá; William L L Baker; Senol Yavuz; Mohamed Zeriouh; Jae-Sik Jang; Hamidreza Dehghan; Lei Meng; Luca Testa; Fabrizio D'Ascenzo; Umberto Benedetto; Gary Tse; Luis Nombela-Franco; Pascal M Dohmen; Abhishek J Deshmukh; Cecilia Linde; Giuseppe Biondi-Zoccai; Gregg W Stone; Hugh Calkins; Integrated Meta-Analysis Of Cardiac Surgery And Cardiology-Group Imcsc-Group
Journal:  Med Sci Monit Basic Res       Date:  2017-05-12

10.  Hemoglobin A1c and risk of left atrial thrombus and spontaneous echo contrast in non-valvular atrial fibrillation patients.

Authors:  Rong-Ren Kuang; Fang-Zhou Liu; Yun-Peng Li; Wei-Dong Lin; Hua-Sheng Liang; Ai-Hua Chen
Journal:  Eur J Med Res       Date:  2017-04-21       Impact factor: 2.175

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