scholarly journals Response to the Letter to the Editor: “The prognostic value of white blood cell count-to-mean platelet volume ratio in patients with acute coronary syndrome”

2015 ◽  
Vol 22 (3) ◽  
pp. 353-354
Author(s):  
Mohammad Reza Dehghani ◽  
Yousef Rezaei
Keyword(s):  
Acute Coronary Syndrome ◽  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
Mean Platelet Volume ◽  
Prognostic Value ◽  
Volume Ratio ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
Coronary Syndrome

scholarly journals Role of White blood Cell Count and Mean Platelet Volume ratio in Acute Coronary Syndrome patients: A short study

2021 ◽  
Vol 06 (02) ◽  
pp. 098-099
Author(s):  
S. Rama Devi
Keyword(s):  
Acute Coronary Syndrome ◽  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Mean Platelet Volume ◽  
Volume Ratio ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
Coronary Syndrome

AbstractThe white blood cell count to mean platelet volume ratio is an indicator of inflammation in patients with atherosclerotic disease. Acute coronary syndrome is a disease characterized in most of the cases by rupture of atherosclerotic plaque and subsequent complete or incomplete thrombosis of the coronary arteries.

scholarly journals The White Blood Cell Count to Mean Platelet Volume Ratio for the Prediction of Chronic Limb-Threatening Ischemia in Lower Extremity Artery Disease

2019 ◽  
Vol 8 (10) ◽  
pp. 1593 ◽  
Author(s):  
Guetl ◽  
Raggam ◽  
Muster ◽  
Gressenberger ◽  
Vujic ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Blood Cell ◽  
Cell Count ◽  
Mean Platelet Volume ◽  
Multivariate Regression ◽  
Volume Ratio ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
Artery Disease ◽  
Lower Extremity Artery Disease

: Background: The white blood cell count to mean platelet volume ratio (WMR) is increasingly gaining importance as a promising prognostic marker in atherosclerotic disease, but data on lower extremity artery disease (LEAD) are not yet available. The principle aim of this study was to assess the association of the WMR with the occurrence of CLTI (chronic limb-threatening ischemia) as the most advanced stage of disease. Methods: This study was performed as a retrospective analysis on 2121 patients with a diagnosis of LEAD. Patients were admitted to the hospital for the reason of LEAD and received conservative or endovascular treatment. Blood sampling, in order to obtain the required values for this analysis, was implemented at admission. Statistical analysis was conducted by univariate regression in a first step and, in case of significance, by multivariate regression additionally. Results: Multivariate regression revealed an increased WMR (p < 0.001, OR (95%CI) 2.258 (1.460–3.492)), but also advanced age (p < 0.001, OR (95%CI) 1.050 (1.040–1.061)), increased CRP (p < 0.001, OR (95%CI) 1.010 (1.007–1.014)), and diabetes (p < 0.001, OR (95%CI) 2.386 (1.933–2.946)) as independent predictors for CLTI. Conclusions: The WMR presents an easily obtainable and cost-effective parameter to identify LEAD patients at high risk for CLTI.

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