Skip to content
2000
Volume 18, Issue 6
  • ISSN: 1389-2010
  • E-ISSN: 1873-4316

Abstract

Background: Coronary Artery Disease (CAD) is the most common reason for death in the western hemisphere. Therefore, a well-functioning risk-management has been established over the past decades with uprising interest in ‘novel’ biomarkers to predict adverse coronary events and detect patients with subclinical CAD. This review will focus on selected biomarkers belonging to the family of inflammatory markers (fibrinogen or hs-CRP) or to the family of lipid-associated markers (Lipoprotein associated PA2 or Lipoprotein a) and organ-specific biomarkers (hs-troponin, Cystatin C or NTproBNP). Methods: This review is based on a pubmed search focusing on the biomarkers fibrinogen, hs-CRP, Lipoprotein associated PA2, Lipoprotein a, hs-troponin, NT-proBNP and Cystatin C. Results: The search retrieved 149 references containing meta-analysis, prospective and retrospective studies concerning the usage of the selected biomarkers in risk prediction and detection of CAD. Despite clinical studies, current guidelines of the European Society of Cardiology (ESC), the American Heart Association (AHA) and the Canadian Cardiovascular Society (CCS) were analyzed regarding their recommendation of the implementation of biomarkers in clinical routine. The review identified promising stand-alone biomarkers and multi-marker risk models for CAD patients. Conclusion: Novel biomarkers detect patients at risk beyond established risk scores. However, an ideal biomarker fulfilling all necessary criteria does still not exist.

Loading

Article metrics loading...

/content/journals/cpb/10.2174/1389201018666170630120805
2017-05-01
2025-07-15
Loading full text...

Full text loading...

/content/journals/cpb/10.2174/1389201018666170630120805
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test