Biomarkers determining cardiovascular risk in patients with kidney disease

G Siasos1, D Tousoulis, S Michalea

  • 1Department of Biological Chemistry, University of Athens Medical School, Athens, Greece. gsiasos@med.uoa.gr

Insights

Cardiovascular disease (CVD) is a major concern for chronic kidney disease (CKD) patients. This review explores novel biomarkers that predict CVD events and aid treatment monitoring in CKD.

Area of Science:

  • Nephrology
  • Cardiology
  • Biomarker Research

Background:

  • Cardiovascular disease (CVD) is the primary cause of premature death in chronic kidney disease (CKD) patients.
  • Accelerated CVD in CKD involves classic and non-classic risk factors, leading to endothelial dysfunction, inflammation, oxidative stress, vascular calcification, and volume overload.
  • Declining kidney function independently predicts CVD in CKD patients.

Purpose of the Study:

  • To review current knowledge on promising biomarkers for CVD in the CKD population.
  • To discuss clinical correlations of novel risk factors and biomarkers for CVD in CKD.
  • To evaluate the predictive value of these biomarkers for future cardiovascular events and their utility in treatment monitoring.

Main Methods:

  • Literature review of recent evidence on CVD biomarkers in CKD.
  • Analysis of the correlation between novel risk factors, biomarkers, and clinical outcomes.
  • Assessment of the predictive value and therapeutic monitoring applications of identified biomarkers.

Main Results:

  • Emerging biomarkers show strong correlations with CVD in CKD patients.
  • These biomarkers offer predictive value for cardiovascular events.
  • Potential applications in monitoring treatment efficacy are being explored.

Conclusions:

  • Novel biomarkers are crucial for understanding and managing CVD in CKD.
  • Further research is needed to integrate these biomarkers into clinical practice for improved patient outcomes.
  • Biomarker-guided management may enhance CVD prevention and treatment monitoring in CKD.

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