Comparative prognostic value of C-reactive protein & fibrinogen in patients with coronary artery disease

Gjin Ndrepepa1, Siegmund Braun, Tomohisa Tada

  • 1German Heart Centre, Technical University, Munich, Germany.

Insights

C-reactive protein (CRP) is a superior predictor of mortality in coronary artery disease (CAD) patients compared to fibrinogen. Elevated CRP levels independently correlate with increased all-cause mortality risk in this population.

Area of Science:

  • Cardiology
  • Biomarkers
  • Prognostic Medicine

Background:

  • The comparative prognostic value of C-reactive protein (CRP) and fibrinogen for cardiovascular events remains incompletely understood.
  • Investigating these inflammatory markers is crucial for refining risk stratification in patients with coronary artery disease (CAD).

Purpose of the Study:

  • To directly compare the prognostic capabilities of C-reactive protein (CRP) and fibrinogen in predicting mortality among patients diagnosed with coronary artery disease (CAD).

Main Methods:

  • A cohort of 13,100 patients with confirmed coronary artery disease (CAD) underwent plasma CRP and fibrinogen level measurements prior to coronary angiography.
  • Elevated levels were defined as CRP >3 mg/l and fibrinogen >350 mg/dl.
  • The primary endpoint assessed was 1-year all-cause mortality.

Main Results:

  • Patients were stratified into four groups based on CRP and fibrinogen levels, with significant differences in 1-year mortality observed (P<0.001).
  • Multivariate analysis identified elevated CRP levels as an independent correlate of mortality (adjusted HR=1.31, 95% CI 1.18-1.45).
  • Fibrinogen levels did not demonstrate an independent association with mortality in the multivariate analysis (adjusted HR=0.99, 95% CI 0.90-1.09).

Conclusions:

  • C-reactive protein (CRP) serves as a more potent predictor of mortality in patients with coronary artery disease (CAD) than fibrinogen.
  • CRP provides prognostic information that extends beyond conventional cardiovascular risk factors, aiding in risk assessment.
Abstract

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