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Biomarkers and the prediction of atrial fibrillation: state of the art.

Publication ,  Journal Article
O'Neal, WT; Venkatesh, S; Broughton, ST; Griffin, WF; Soliman, EZ
Published in: Vasc Health Risk Manag
2016

Atrial fibrillation (AF) is the most common sustained arrhythmia encountered in clinical practice, and it places a substantial burden on the health care system. Despite improvements in our understanding of AF pathophysiology, we have yet to develop targeted preventive therapies. Recently, numerous biological markers have been identified to aid in the prediction of future AF events. Subclinical markers of atrial stress, inflammation, endothelial dysfunction, kidney dysfunction, and atherosclerosis have been linked to AF. The connection between these markers and AF is the identification of subclinical states in which AF propagation is likely to occur, as these conditions are associated with abnormal atrial remodeling and fibrosis. Additionally, several risk scores have been developed to aid in the identification of at-risk patients. The practicing clinician should be aware of these subclinical markers, as several of these markers improve the predictive abilities of current AF risk scores. Knowledge of these subclinical markers also provides clinicians with a better understanding of AF risk factors, and the opportunity to reduce the occurrence of AF by incorporating well-known cardiovascular disease risk factor modification strategies. In this review, we highlight several novel biological markers that have improved our understanding of AF pathophysiology and appraise the utility of these markers to improve our ability to predict future AF events.

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Published In

Vasc Health Risk Manag

DOI

EISSN

1178-2048

Publication Date

2016

Volume

12

Start / End Page

297 / 303

Location

New Zealand

Related Subject Headings

  • Risk Factors
  • Prognosis
  • Predictive Value of Tests
  • Humans
  • Cardiovascular System & Hematology
  • Biomarkers
  • Atrial Fibrillation
  • Animals
  • 3202 Clinical sciences
  • 3201 Cardiovascular medicine and haematology
 

Citation

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O’Neal, W. T., Venkatesh, S., Broughton, S. T., Griffin, W. F., & Soliman, E. Z. (2016). Biomarkers and the prediction of atrial fibrillation: state of the art. Vasc Health Risk Manag, 12, 297–303. https://doi.org/10.2147/VHRM.S75537
O’Neal, Wesley T., Sanjay Venkatesh, Stephen T. Broughton, William F. Griffin, and Elsayed Z. Soliman. “Biomarkers and the prediction of atrial fibrillation: state of the art.Vasc Health Risk Manag 12 (2016): 297–303. https://doi.org/10.2147/VHRM.S75537.
O’Neal WT, Venkatesh S, Broughton ST, Griffin WF, Soliman EZ. Biomarkers and the prediction of atrial fibrillation: state of the art. Vasc Health Risk Manag. 2016;12:297–303.
O’Neal, Wesley T., et al. “Biomarkers and the prediction of atrial fibrillation: state of the art.Vasc Health Risk Manag, vol. 12, 2016, pp. 297–303. Pubmed, doi:10.2147/VHRM.S75537.
O’Neal WT, Venkatesh S, Broughton ST, Griffin WF, Soliman EZ. Biomarkers and the prediction of atrial fibrillation: state of the art. Vasc Health Risk Manag. 2016;12:297–303.

Published In

Vasc Health Risk Manag

DOI

EISSN

1178-2048

Publication Date

2016

Volume

12

Start / End Page

297 / 303

Location

New Zealand

Related Subject Headings

  • Risk Factors
  • Prognosis
  • Predictive Value of Tests
  • Humans
  • Cardiovascular System & Hematology
  • Biomarkers
  • Atrial Fibrillation
  • Animals
  • 3202 Clinical sciences
  • 3201 Cardiovascular medicine and haematology