scholarly journals White blood cell count to mean platelet volume ratio: A novel and promising prognostic marker for ST-segment elevation myocardial infarction

2016 ◽  
Vol 23 (3) ◽  
pp. 225-235 ◽  
Author(s):  
Gökhan Çiçek ◽  
Sadık Kadri Açıkgöz ◽  
Çağrı Yayla ◽  
Harun Kundi ◽  
Mehmet İleri
Keyword(s):  
Myocardial Infarction ◽  
Blood Cell ◽  
Cell Count ◽  
Mean Platelet Volume ◽  
Volume Ratio ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment

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 Cardiac rehabilitation in patients with ST-segment elevation myocardial infarction: can its failure be predicted?

2017 ◽  
Vol 11 (7) ◽  
pp. 177-184
Author(s):  
Robert Irzmański ◽  
Joanna Kapusta ◽  
Agnieszka Obrębska-Stefaniak ◽  
Beata Urzędowicz ◽  
Jan Kowalski
Keyword(s):  
Myocardial Infarction ◽  
Logistic Regression ◽  
Blood Cell ◽  
Cardiac Rehabilitation ◽  
Blood Cells ◽  
Blood Cell Count ◽  
St Segment Elevation ◽  
Failure Index ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment

Background: The prognosis in patients after acute coronary syndromes (ACS) is significantly burdened by coexisting anaemia, leukocytosis and low glomerular filtration rate (GFR). Hyperglycaemia in the early stages of ACS is a strong predictor of death and heart failure in non-diabetic subjects. This study aimed to evaluate the effect of hyperglycaemia, anaemia, leukocytosis, thrombocytopaenia and decreased GFR on the risk of the failure of cardiac rehabilitation (phase II at the hospital) in post-ST-segment elevation myocardial infarction (STEMI) patients. Methods: The study included 136 post-STEMI patients, 96 men and 40 women, aged 60.1 ± 11.8 years, admitted for cardiac rehabilitation (phase II) to the Department of Internal Medicine and Cardiac Rehabilitation, WAM University Hospital in Lodz, Poland. On admission fasting blood cell count was performed and serum glucose and creatinine level was determined (GFR assessment). The following results were considered abnormal: glucose ⩾ 100 mg/dl, GFR < 60 ml/min/1, 73 m², red blood cells (RBCs) < 4 × 106/μl, white blood cells (WBCs) > 10 × 103/μl; platelets (PLTs) < 150 × 10³/ml. In all patients an exercise test was performed twice, before and after the completion of the second stage of rehabilitation, to assess its effects. Results: Based on logistic regression analysis and the results of an individual odds ratio (OR) of the tested parameters, their prognostic impact was determined on the risk of failure of cardiac rehabilitation. This risk has been defined on the basis of the patient’s inability to tolerate workload increment >5 Watt in spite of the applied program of cardiac rehabilitation. As a result of building a logistic regression model, the most statistically significant risk factors were selected, on the basis of which cardiac rehabilitation failure index was determined. leukocytosis and reduced GFR determined most significantly the risk of failure of cardiac rehabilitation (respectively OR = 6.42 and OR = 3.29, p = 0.007). These parameters were subsequently utilized to construct a rehabilitation failure index. Conclusions: Peripheral blood cell count and GFR are important in assessing the prognosis of cardiac rehabilitation effects. leukocytosis and decreased GFR determine to the highest degree the risk of cardiac rehabilitation failure. Cardiac rehabilitation failure index may be useful in classifying patients into an appropriate model of rehabilitation. These findings support our earlier reports.

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