Correlation Between Red Cell Distribution Width and Peripheral Vascular Disease Severity and Complexity
Seçkin Satılmış1, Ahmet Karabulut2,3
1Department of Cardiology, Acibadem Atakent Hospital, Istanbul 34303, Turkey.
Medical Sciences (Basel, Switzerland)
|July 21, 2019
Summary
Elevated red cell distribution width (RDW) is linked to more severe peripheral vascular disease (PVD). Higher RDW levels independently predict the presence and complexity of PVD, indicating its potential as a prognostic biomarker.
Area of Science:
- Vascular Medicine
- Hematology
- Diagnostic Biomarkers
Background:
- Red cell distribution width (RDW) is an established hematological marker.
- Emerging evidence suggests RDW as a potential biomarker for atherosclerotic vascular diseases.
- Limited studies have explored RDW's prognostic value in peripheral vascular disease (PVD).
Purpose of the Study:
- To investigate the correlation between RDW levels and the severity and complexity of PVD.
- To assess RDW as an independent predictor of PVD presence and severity.
- To evaluate RDW in angiographically classified PVD using the Trans-Atlantic Inter-Society Consensus (TASC II) classification.
Main Methods:
- Retrospective analysis of 118 patients undergoing peripheral lower extremity angiography.
- RDW levels measured via automated complete blood count.
- PVD severity and complexity categorized using TASC II classification (A-B for simple, C-D for complex).
Main Results:
- RDW levels showed a significant correlation with PVD presence and TASC II grades (p:0.02).
- Patients with RDW ≥14.1 (fourth quartile) exhibited a stronger correlation with PVD presence and severity (p:0.001).
- Elevated RDW independently predicted PVD presence and complex TASC II C-D lesions (OR:2.26, p:0.02).
Conclusions:
- Elevated RDW is associated with more prevalent and complex PVD (TASC II C-D lesions).
- RDW serves as an independent predictor for the presence and severity of peripheral vascular disease.
- RDW demonstrates potential as a valuable prognostic biomarker in PVD assessment.
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