scholarly journals Association of mean platelet volume and red blood cell distribution width with coronary collateral development in stable coronary artery disease

2018 ◽  
Vol 14 (3) ◽  
pp. 263-269
Author(s):  
Isa Sincer ◽  
Yilmaz Gunes ◽  
Asli Kurtar Mansiroglu ◽  
Mehmet Cosgun ◽  
Gulali Aktas
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Blood Cell ◽  
Stable Coronary Artery Disease ◽  
Cell Distribution ◽  
Platelet Volume ◽  
Distribution Width ◽  
Collateral Development ◽  
Artery Disease ◽  
Red Blood Cell Distribution

Red blood cell distribution width and myocardial scar burden in coronary artery disease

2017 ◽  
Vol 93 (1104) ◽  
pp. 607-612 ◽  
Author(s):  
Caroline Jane Magri ◽  
Tan Xiao Tian ◽  
Liberato Camilleri ◽  
Robert Xuereb ◽  
Joseph Galea ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Myocardial Scar ◽  
Cell Distribution ◽  
Distribution Width ◽  
Scar Burden ◽  
Artery Disease ◽  
Red Blood Cell Distribution

Red blood cell distribution width and coronary artery disease severity in diabetic patients

2019 ◽  
Vol 15 (5) ◽  
pp. 355-366 ◽  
Author(s):  
Abdelrahman Khalil ◽  
Mohamed Shehata ◽  
Adham Abdeltawab ◽  
Ahmed Onsy
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Diabetic Patients ◽  
Study Cohort ◽  
Cell Distribution ◽  
Distribution Width ◽  
Artery Disease ◽  
Red Blood Cell Distribution

Aim: The purpose of the study is to evaluate the relationship between red blood cell distribution width (RDW) and coronary calcium score in diabetic patients. Methods: Hematological parameters of 100 diabetic (Type II) patients were assessed. Computed tomographic angiography was used to asses coronary artery calcium (CAC) score. Results: Mean age of the study cohort was 55 years (males: 60%). Mean RDW was 12.7%. Mean CAC score was 243. There was a significant correlation between RDW and each of: CAC scores (r = 0.53; p < 0.001) and severity of coronary artery disease (CAD; r = 0.25; p = 0.047). A cut-off value >14.2% (receiver operating characteristic curves) predicted CAC score >400. A cut-off value >-14.6% predicted the presence of significant CAD. Conclusion: Diabetic patients with high-CAC scores and significant CAD had higher RDW.

scholarly journals The Prognostic Role of Red Blood Cell Distribution Width in Coronary Artery Disease: A Review of the Pathophysiology

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Kamil Bujak ◽  
Jarosław Wasilewski ◽  
Tadeusz Osadnik ◽  
Sandra Jonczyk ◽  
Aleksandra Kołodziejska ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Bone Marrow ◽  
Coronary Artery ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Coronary Syndrome ◽  
Artery Disease ◽  
Red Blood Cell Distribution

Red blood cell distribution width (RDW) is a measure of red blood cell volume variations (anisocytosis) and is reported as part of a standard complete blood count. In recent years, numerous studies have noted the importance of RDW as a predictor of poor clinical outcomes in the settings of various diseases, including coronary artery disease (CAD). In this paper, we discuss the prognostic value of RDW in CAD and describe the pathophysiological connection between RDW and acute coronary syndrome. In our opinion, the negative prognostic effects of elevated RDW levels may be attributed to the adverse effects of independent risk factors such as inflammation, oxidative stress, and vitamin D3and iron deficiency on bone marrow function (erythropoiesis). Elevated RDW values may reflect the intensity of these phenomena and their unfavorable impacts on bone marrow erythropoiesis. Furthermore, decreased red blood cell deformability among patients with higher RDW values impairs blood flow through the microcirculation, resulting in the diminution of oxygen supply at the tissue level, particularly among patients suffering from myocardial infarction treated with urgent revascularization.

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