scholarly journals White Blood Cell Count Mean Platelet Volume Ratio as A Predictor of Major Adverse Cardiovascular Event in Acute Non St-Elevation Myocardial Infarction (NSTEMI)

2018 ◽  
Vol 11 (4) ◽  
pp. 298-304
Author(s):  
Yusrina Saragih ◽  
Ali N. Nasution ◽  
Cut A. Andra ◽  
Harris Hasan ◽  
R. Abdul Halim ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Blood Cell ◽  
Cell Count ◽  
Mean Platelet Volume ◽  
Volume Ratio ◽  
Major Adverse Cardiovascular Event ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
Adverse Cardiovascular Event ◽  
St Elevation

scholarly journals Usefulness of white blood cell count to mean platelet volume ratio in the prediction of SYNTAX score in patients with non-ST elevation myocardial infarction

2019 ◽  
Vol 35 (3) ◽  
Author(s):  
Serkan Sivri ◽  
Erdoğan Sökmen ◽  
Mustafa Celik ◽  
Sinan Cemgil Ozbek ◽  
Alp Yildirim ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Blood Cell ◽  
White Blood Cell ◽  
Mean Platelet Volume ◽  
Volume Ratio ◽  
St Elevation Myocardial Infarction ◽  
Syntax Score ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
St Elevation

Objective: White blood cell (WBC) count to mean platelet volume (MPV) ratio (WMR) is associated with major adverse cardiovascular events in patients with non-ST elevation myocardial infarction (NSTEMI). We aimed to compare WMR between NSTEMI patients and matched-controls and to evaluate its predictive value on SYNTAX score. Methods: Total 175 patients with NSTEMI and 160 age and co-morbidity matched subjects were recruited in our study. WMR was compared between the patient and control groups. The patient group was further subdivided into 3 tertiles according to SYNTAX scores as follows: low SYNTAX score tertile (score ≤22, 141 patients); intermediate SYNTAX score tertile (score between 23 and 32, 20 patients); and, high SYNTAX score tertile (score ≥33, 14 patients). WMR was further assessed among the tertiles. Results: WMR was significantly greater in the patient group compared to the control group (p<0,001). WMR among low, intermediate and high score tertiles were calculated to be 890±26, 1090±042 and 1500±65, respectively (p <0,001). In receiver operating characteristics (ROC) analysis, WMR >960 predicted a SYNTAX score ≥23 with 80.6% sensitivity and 67.6% specificity (AUC: 0.756; 95% CI: 0.685 - 0.818; p <0.0001) and a WMR >1360 predicted a SYNTAX score ≥33 with 71.4% sensitivity and 93% specificity (AUC: 0.840; 95% CI: 0.777 - 0.892; p <0.0001). Conclusions: WMR value was significantly elevated in NSTEMI patients, compared to controls. Higher WMR was associated with greater SYNTAX score in patients with NSTEMI. WMR may be used to predict severity of the CAD and to implement risk stratification in patients with NSTEMI. doi: https://doi.org/10.12669/pjms.35.3.1017 How to cite this:Sivri S, Sokmen E, Celik M, Ozbek SC, Yildirim A, Boduroglu Y. Usefulness of white blood cell count to mean platelet volume ratio in the prediction of SYNTAX score in patients with non-ST elevation myocardial infarction. Pak J Med Sci. 2019;35(3):---------.  doi: https://doi.org/10.12669/pjms.35.3.1017 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.

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.

Mean Platelet Volume, Red Cell Distribution Width, and Complete Blood Cell Count Indices in Retinal Vein Occlusions

2020 ◽  
Vol 28 (1) ◽  
pp. 39-47
Author(s):  
Antonio Pinna ◽  
Tiziana Porcu ◽  
Jacopo Marzano ◽  
Francesco Boscia ◽  
Panagiotis Paliogiannis ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Mean Platelet Volume ◽  
Red Cell ◽  
Cell Distribution ◽  
Complete Blood Cell Count ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
Distribution Width ◽  
Retinal Vein Occlusions
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