G-CSF Predicts Cardiovascular Events in Patients with Stable Coronary Artery Disease

Katharina M Katsaros1,2, Walter S Speidl1, Svitlana Demyanets1

  • 1Department of Internal Medicine II, Cardiology, Medical University of Vienna, Vienna, Austria.

Plos One
|November 12, 2015
PubMed

Insights

Elevated levels of granulocyte-colony-stimulating-factor (G-CSF) in the blood are linked to a doubled risk of major adverse cardiovascular events. Higher G-CSF also predicts in-stent restenosis in bare-metal stents.

Area of Science:

  • Cardiology
  • Immunology
  • Biomarkers

Background:

  • Granulocyte-colony-stimulating-factor (G-CSF) is known to mobilize progenitor cells.
  • Recombinant G-CSF use post-myocardial infarction is linked to in-stent restenosis.
  • The role of endogenous G-CSF in cardiovascular risk is unclear.

Purpose of the Study:

  • To investigate the association between endogenous plasma G-CSF levels and cardiovascular risk in patients with stable coronary artery disease.
  • To determine if G-CSF levels predict major adverse cardiovascular events (MACE).
  • To assess the relationship between G-CSF levels and in-stent restenosis after stent implantation.

Main Methods:

  • 280 patients with stable coronary artery disease were enrolled.
  • Plasma G-CSF levels were measured using ELISA.
  • Patients were followed for 30 months for MACE and in-stent restenosis.

Main Results:

  • Patients with cardiac events had significantly higher baseline G-CSF levels.
  • G-CSF levels above the median were associated with a 2-fold increased risk of MACE, independent of risk factors.
  • Elevated G-CSF predicted in-stent restenosis in bare-metal stents but not drug-eluting stents.

Conclusions:

  • Endogenous plasma G-CSF levels are a significant predictor of cardiovascular events in patients with stable coronary artery disease.
  • Higher G-CSF levels are associated with an increased risk of in-stent restenosis after bare-metal stent implantation.
  • G-CSF may represent a novel biomarker for cardiovascular risk stratification.

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