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Relationship between high-density lipoprotein cholesterol and the red cell distribution width in patients with
Eyup Avci1, Tuncay Kiris2, Abdullah Orhan Demirtas3
1Cardiology Department, Balikesir University Faculty of Medicine, Balikesir, Turkey. dreyupavci@gmail.com.
Insights
Higher high-density lipoprotein cholesterol (HDL-C) levels correlate with lower red blood cell distribution width (RDW) in coronary artery disease patients. This inverse relationship suggests HDL-C may influence red blood cell size variability.
Area of Science:
- Cardiology
- Hematology
- Biochemistry
Background:
- Red cell distribution width (RDW) measures red blood cell size variability.
- High-density lipoprotein cholesterol (HDL-C) possesses anti-inflammatory properties.
- Investigating the link between HDL-C and RDW in coronary artery disease (CAD) is crucial.
Purpose of the Study:
- To examine the association between serum HDL-C levels and RDW in patients diagnosed with coronary artery disease (CAD).
Main Methods:
- Retrospective review of 328 patients undergoing coronary angiography.
- Exclusion criteria included heart/renal failure, anemia, recent transfusion, hematologic disease, and lipid-lowering medication use.
- CAD severity assessed by Gensini score; biochemical and hematological parameters measured after fasting.
Main Results:
- A significant inverse relationship was observed between serum HDL-C levels and RDW.
- Regression analysis identified HDL-C, hemoglobin, hs-CRP, and Gensini score as predictors of RDW.
- Patients were stratified into quartiles based on RDW values.
Conclusions:
- An inverse and gradual association exists between serum HDL-C levels and RDW.
- Serum HDL-C level emerged as an independent predictor of RDW in this patient cohort.
Background:
The red cell distribution width (RDW) is a numerical measurement of variability in the size of red blood cells. Many studies have shown that high-density lipoprotein cholesterol (HDL-C), has an anti-inflammatory effect. The aim of this study was to investigate the relationship between the serum HDL-C level and RDW in patients with coronary artery disease (CAD).
Methods:
Patients who underwent coronary angiography were reviewed. Patients who had moderate or severe heart failure, moderate or severe renal failure, significant systemic disease, anemia, a blood transfusion within the last 3 months, or a hematologic disease, as well as those who were taking lipid-lowering medication, were excluded from the study. The Gensini scoring system was used to determine the severity of CAD. Biochemical and hematological parameters were measured from venous blood samples taken after the patient fasted for at least 8 h. The RDW was routinely obtained from a hemogram.
Results:
In total, 328 patients were included in the study. The patients were categorized according to quartiles. There were 80 patients in Quartile 1 (RDW < 13.2), 84 patients in Quartile 2 (13.2 ≥ RDW < 14.15), 81 patients in Quartile 3 (14.15 ≥ RDW < 16), and 83 patients in Quartile 4 (RDW ≥ 16). There was a significant and inverse relationship between the serum HDL level and RDW. Regression analysis showed that the HDL-C, hemoglobin, and hs-CRP levels and Gensini score were predictors for the RDW.
Conclusion:
We found an inverse and gradual association between the serum HDL-C level and RDW, and the serum HDL-C level was an independent predictor for the RDW.
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