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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
10:03

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty

Published on: January 28, 2020

Red cell distribution width, C-reactive protein, the complete blood count, and mortality in patients with coronary

Jason M Lappé1, Benjamin D Horne, Svati H Shah

  • 1Department of Medicine, Division of Cardiology, Duke University Medical Center, Durham, NC, USA.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|August 9, 2011
PubMed

Insights

Red cell distribution width (RDW) predicts mortality in coronary artery disease (CAD) patients and healthy individuals. While RDW correlates with inflammation markers, it independently predicts mortality, offering clinical value for risk assessment.

Area of Science:

  • Cardiology
  • Clinical Chemistry

Background:

  • Red cell distribution width (RDW) is linked to adverse outcomes in coronary artery disease (CAD).
  • The relationship between RDW and chronic inflammation remains unclear.

Purpose of the Study:

  • To investigate the association between RDW and all-cause mortality in CAD patients.
  • To explore RDW's correlation with inflammation and other health markers.

Main Methods:

  • A Cox regression analysis was performed on 1,489 CAD patients with 8.4-15.2 years of follow-up.
  • RDW's association with inflammation (hsCRP), liver function, renal function, and BMI was assessed.
  • A control group of 449 individuals without CAD was also evaluated.

Main Results:

  • RDW significantly predicted all-cause mortality in CAD patients (HR=1.37 per quintile).
  • A weak but significant correlation was found between RDW and hsCRP (r=0.181).
  • RDW remained the strongest independent predictor of mortality in CAD and also predicted mortality in the control group.

Conclusions:

  • RDW is a valuable prognostic marker for mortality in CAD patients.
  • RDW and hsCRP are independent predictors of mortality.
  • RDW can be integrated into risk prediction tools using basic laboratory data.
Abstract

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