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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Novel biomarkers with potential for cardiovascular risk reclassification
Sagar Mallikethi-Reddy1, Alexandros Briasoulis1, Emmanuel Akintoye1
1a Division of Cardiology , Detroit Medical Center, Wayne State University , Detroit , MI , USA.
Novel biomarkers like red cell distribution width (RDW), cystatin C (cysC), and homocysteine (Hcy) can improve cardiovascular risk prediction. These markers, alongside imaging, offer valuable insights for patients with intermediate risk.
Area of Science:
- Cardiology
- Biomarkers
- Risk Prediction
Background:
- Accurate cardiovascular disease (CVD) risk estimation is crucial for treatment decisions.
- Existing multivariate risk models have limitations in predicting CVD events.
- Novel biomarkers are being investigated to enhance cardiovascular risk prediction.
Purpose of the Study:
- To review the role of underappreciated biomarkers in cardiovascular risk reclassification.
- To highlight the utility of novel serum and imaging biomarkers.
- To assess their value in patients with intermediate CVD risk.
Main Methods:
- Review of current literature on novel cardiovascular risk markers.
- Discussion of serum biomarkers: red cell distribution width (RDW), cystatin C (cysC), and homocysteine (Hcy).
- Inclusion of imaging biomarkers in the assessment of cardiovascular risk.
Main Results:
- RDW, cysC, and Hcy show potential as valuable additions to existing risk models.
- Imaging biomarkers can provide further information for risk stratification.
- These novel markers aid in reclassifying cardiovascular risk, especially in intermediate-risk groups.
Conclusions:
- Underappreciated biomarkers like RDW, cysC, and Hcy can significantly improve cardiovascular risk prediction.
- Integrating these novel serum and imaging biomarkers enhances risk assessment beyond traditional factors.
- These markers are particularly useful for refining risk in patients categorized as intermediate risk.
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