Literature DB >> 33313695

Biomarkers for Risk Assessment in Atrial Fibrillation.

David D Berg1, Christian T Ruff1, David A Morrow1.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is associated with an increased risk of thromboembolism, which can be significantly reduced with anticoagulant treatment. Key goals in the clinical management of AF are the identification of patients at high risk for developing AF and accurate stratification of the risk of stroke and systemic embolic events (S/SEE) as well as treatment-related major bleeding. CONTENT: In this review, we describe the expanding evidence regarding the use of circulating biomarkers for predicting the risks of both incident AF and its clinically important complications of S/SEE and treatment-related major bleeding. We also review emerging biomarker-based scores for assessing these risks.
SUMMARY: Patients with AF undergo progressive cardiac structural remodeling, which may precede the onset of the arrhythmia. Abnormal concentrations of circulating biomarkers reflecting the underlying pathophysiologic mechanisms of hemodynamic stress (i.e., natriuretic peptides), inflammation (i.e., C-reactive protein), and myocardial fibrosis identify patients at higher risk of developing AF. Circulating biomarkers can also be used to identify patients with AF who are at greatest risk for developing S/SEE or major bleeding. In particular, biomarkers of hemodynamic stress, myocardial injury (i.e., cardiac troponin), and coagulation activity (i.e., D-dimer) are key indicators of thromboembolic risk, and cardiac troponin and growth-differentiation factor-15 are strongly associated with risk of anticoagulant-related major bleeding. The biomarker-based age, biomarker, clinical history (ABC)-stroke and ABC-bleeding risk scores improve risk stratification for S/SEE and major bleeding, respectively, when compared with traditional clinical risk scores like the CHA2DS2-VASc and HAS-BLED scores. © American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  atrial fibrillation; biomarkers; bleeding; stroke

Mesh:

Substances:

Year:  2021        PMID: 33313695     DOI: 10.1093/clinchem/hvaa298

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


  5 in total

1.  Improving prediction of anticoagulant-related major bleeding in atrial fibrillation: The search for new biomarkers.

Authors:  David D Berg; David A Morrow
Journal:  J Thromb Haemost       Date:  2021-11       Impact factor: 5.824

2.  From Bench to Bedside-Implementing the New ABC Approach for Atrial Fibrillation in an Emergency Department Setting.

Authors:  Sophie Gupta; Martin Lutnik; Jan Niederdöckl; Sebastian Schnaubelt
Journal:  Int J Environ Res Public Health       Date:  2022-04-15       Impact factor: 4.614

3.  Growth Differentiation Factor-15 Based ABC (Age, Biomarkers, Clinical History)-AF (Atrial Fibrillation)-Bleeding Risk Score for Elderly Patients with Nonvalvular Atrial Fibrillation.

Authors:  U Fan O; Tou Kun Chong; Yulin Wei; Cheok Ian Lo; Wei Wu
Journal:  J Healthc Eng       Date:  2022-03-08       Impact factor: 2.682

4.  A Targeted Proteomic Approach Identifies Novel Biomarkers of Arterial Thromboembolic Risk in ENGAGE AF-TIMI 48.

Authors:  David D Berg; Robert P Giugliano; Christian T Ruff; Minao Tang; KyungAh Im; Petr Jarolim; Howard Rutman; Elliott M Antman; Eugene Braunwald; David A Morrow
Journal:  J Am Coll Cardiol       Date:  2021-08-10       Impact factor: 24.094

5.  Neopterin and kynurenic acid as predictors of stroke recurrence and mortality: a multicentre prospective cohort study on biomarkers of inflammation measured three months after ischemic stroke.

Authors:  Katinka Nordheim Alme; Arve Ulvik; Torunn Askim; Jörg Assmus; Tom Eirik Mollnes; Mala Naik; Halvor Næss; Ingvild Saltvedt; Per-Magne Ueland; Anne-Brita Knapskog
Journal:  BMC Neurol       Date:  2021-12-08       Impact factor: 2.474

  5 in total

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