Literature DB >> 27811208

Application of Biomarkers for Risk Stratification in Patients with Atrial Fibrillation.

Ziad Hijazi1,2, Jonas Oldgren3,2, Agneta Siegbahn2,4, Lars Wallentin3,2.   

Abstract

BACKGROUND: Atrial fibrillation is the most common sustained arrhythmia and an important contributor to cardiovascular morbidity and mortality. Several strategies have been proposed for prediction of outcomes and individualization of treatments to better balance the benefits of stroke prevention and risks of bleeding during anticoagulation. CONTENT: The availability of analytically more specific and sensitive methods to measure circulating biomarkers of cellular and organ stress and dysfunction has led to testing of their utility in several cardiovascular conditions. In patients with atrial fibrillation, biomarkers of myocardial injury (troponin) and cardiovascular stress and dysfunction (natriuretic peptides, growth differentiation factor 15), myocardial fibrosis (galectin-3), renal dysfunction (creatinine, cystatin C), inflammation (C-reactive protein, cytokines) and coagulation activity (d-dimer) have been found associated with underlying pathophysiology, clinical outcomes and effects of treatment. Measurements of these markers might therefore expand the understanding of the pathophysiology, improve risk assessment and optimize treatment in individual patients with atrial fibrillation.
SUMMARY: Biomarkers for risk stratification have potential roles as tools for evaluation of patients with atrial fibrillation and for selection of the best treatment strategies to prevent stroke, major bleeding, and mortality.
© 2016 American Association for Clinical Chemistry.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27811208     DOI: 10.1373/clinchem.2016.255182

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  18 in total

1.  Performance of the ABC Scores for Assessing the Risk of Stroke or Systemic Embolism and Bleeding in Patients With Atrial Fibrillation in ENGAGE AF-TIMI 48.

Authors:  David D Berg; Christian T Ruff; Petr Jarolim; Robert P Giugliano; Francesco Nordio; Hans J Lanz; Michele F Mercuri; Elliott M Antman; Eugene Braunwald; David A Morrow
Journal:  Circulation       Date:  2019-02-05       Impact factor: 29.690

2.  Clinical analysis of antithrombotic treatment and occurrence of stroke in elderly patients with nonvalvular persistent atrial fibrillation.

Authors:  Lu-Jiao Yu; Shuai Chen; Yao Xu; Zi-Xin Zhang
Journal:  Clin Cardiol       Date:  2018-10-16       Impact factor: 2.882

3.  A new model to predict ischemic stroke in patients with atrial fibrillation using warfarin or direct oral anticoagulants.

Authors:  J'Neka S Claxton; Richard F MacLehose; Pamela L Lutsey; Faye L Norby; Lin Y Chen; Wesley T O'Neal; Alanna M Chamberlain; Lindsay G S Bengtson; Alvaro Alonso
Journal:  Heart Rhythm       Date:  2018-12-12       Impact factor: 6.343

4.  Upregulation of Inflammatory Cytokines in Pulmonary Embolism Using Biochip-Array Profiling.

Authors:  Emily Bontekoe; Yevgeniy Brailovsky; Debra Hoppensteadt; Jack Bontekoe; Fakiha Siddiqui; Joshua Newman; Omer Iqbal; Trent Reed; Jawed Fareed; Amir Darki
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

5.  The plasma D-dimer trends and their value in acute lower limb ischemia patients treated by catheter directed thrombolysis.

Authors:  Xiaochun Liu; Hailiang Xie; Guofu Zheng; Yuanfei Liu
Journal:  Sci Rep       Date:  2021-05-17       Impact factor: 4.379

6.  Biomarker-based risk scores in atrial fibrillation.

Authors:  Ziad Hijazi; Nicholas L Mills; Christian Mueller
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2021-12-06

7.  Diagnostic Utility of High Sensitivity Troponins for Echocardiographic Markers of Structural Heart Disease.

Authors:  Tom Kai Ming Wang; Clementina Dugo; Yvonne Gillian; Wynne Yvonne; Semple Heather; Smith Kevin; Cleave Peter; Christiansen Jonathan; To Andrew; Amir Nezar; Tony Scott; Boswell Ross; Gladding Patrick
Journal:  Med Sci (Basel)       Date:  2018-02-15

8.  Long-Term Stroke Risk Prediction in Patients With Atrial Fibrillation: Comparison of the ABC-Stroke and CHA2DS2-VASc Scores.

Authors:  José Miguel Rivera-Caravaca; Vanessa Roldán; María Asunción Esteve-Pastor; Mariano Valdés; Vicente Vicente; Gregory Y H Lip; Francisco Marín
Journal:  J Am Heart Assoc       Date:  2017-07-20       Impact factor: 5.501

9.  A biomarker-based risk score to predict death in patients with atrial fibrillation: the ABC (age, biomarkers, clinical history) death risk score.

Authors:  Ziad Hijazi; Jonas Oldgren; Johan Lindbäck; John H Alexander; Stuart J Connolly; John W Eikelboom; Michael D Ezekowitz; Claes Held; Elaine M Hylek; Renato D Lopes; Salim Yusuf; Christopher B Granger; Agneta Siegbahn; Lars Wallentin
Journal:  Eur Heart J       Date:  2018-02-07       Impact factor: 29.983

10.  Dyslipidemia and Risk of Cardiovascular Events in Patients With Atrial Fibrillation Treated With Oral Anticoagulation Therapy: Insights From the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) Trial.

Authors:  Tymon Pol; Claes Held; Johan Westerbergh; Johan Lindbäck; John H Alexander; Marco Alings; Cetin Erol; Shinya Goto; Sigrun Halvorsen; Kurt Huber; Michael Hanna; Renato D Lopes; Witold Ruzyllo; Christopher B Granger; Ziad Hijazi
Journal:  J Am Heart Assoc       Date:  2018-02-01       Impact factor: 5.501

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.