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Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry
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Red blood cell distribution width and coronary artery disease severity in diabetic patients

Abdelrahman Khalil1, Mohamed Shehata1, Adham Abdeltawab1

  • 1Department of Cardiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

Future Cardiology
|September 10, 2019
PubMed

Insights

Red blood cell distribution width (RDW) is linked to coronary artery disease severity in diabetic patients. Higher RDW levels indicate a greater likelihood of significant coronary artery disease and elevated coronary calcium scores.

Area of Science:

  • Cardiology
  • Diabetology
  • Hematology

Background:

  • Coronary artery disease (CAD) is a major complication in diabetic patients.
  • Red blood cell distribution width (RDW) is an indicator of red blood cell anisocytosis.
  • The association between RDW and CAD in diabetic populations requires further investigation.

Purpose of the Study:

  • To investigate the relationship between RDW and coronary artery calcium (CAC) score in patients with Type II diabetes.
  • To determine if RDW can predict the presence and severity of CAD in this cohort.

Main Methods:

  • Assessed hematological parameters, including RDW, in 100 Type II diabetic patients.
  • Utilized computed tomographic angiography to determine the CAC score.
  • Employed receiver operating characteristic (ROC) curve analysis to identify predictive cut-off values.

Main Results:

  • A significant positive correlation was observed between RDW and CAC scores (r = 0.53, p < 0.001).
  • RDW also correlated significantly with the severity of CAD (r = 0.25, p = 0.047).
  • An RDW cut-off of >14.2% predicted a CAC score >400, and >-14.6% predicted significant CAD.

Conclusions:

  • Elevated RDW levels are associated with higher CAC scores in diabetic patients.
  • Higher RDW is indicative of significant coronary artery disease in individuals with Type II diabetes.
  • RDW may serve as a potential biomarker for assessing CAD risk in diabetic populations.

Keywords:
cholesterolcomputed tomographic angiographycoronary artery calciumdiabetes mellitusred blood cell

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