Assessment of Hematological and Electrolytes Levels and Oxidative Stress Predictive Factors by Logistic Regression Analysis of Acute Ischemic Stroke Disease

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نوع سند: مقاله ژورنالی
زبان: English
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JR_PBRE-8-4_008

تاریخ نمایه سازی: 10 دی 1402

Abstract:

Background: Ischemic stroke is a common disease that affects the blood vessels in the brain. This disease is considered one of the most dangerous ailments that affect the nervous system all over the world. Objectives: The aim of this study was to evaluate some hematological and biochemical parameters in men with ischemic disease in Touggourt (Algeria) region.  Methods: The study was done on ۴۰ voluntary individuals divided into healthy men reserved as control with Mean±SD age of ۵۶.۱۳±۳.۳۲ years and ischemic stroke man (patients) with Mean±SD age of ۵۷.۷۵±۴.۰۱ years; their origin covered the whole Touggourt (Algeria) region. Some hematological and biochemical parameters were analyzed, Sensitivity and specificity of oxidative stress biomarkers in serum, erythrocytes, and leucocytes were estimated using a receiver operating characteristics curve (ROC) design.  Results: The results suggest that when compared to the controls, blood glucose levels significantly increased (P>۰.۰۵) while serum sodium, potassium, and chloride concentrations and serum alkaline phosphatase activity significantly decreased (P<۰.۰۵) in stroke patients. Red blood cell, hemoglobin, glutathione (GSH), and total thiol levels significantly decreased (P<۰.۰۵) while white blood cell, neutrophile, platelets, malondialdehyde (MDA), superoxide dismutase (SOD), total antioxidant capacity (TAC) and vitamine C levels significantly increased (P<۰.۰۵) in ischemic stroke patients compared to the controls with high sensitivity and specificity values of oxidative stress markers.  Conclusion: The results indicate that change in electrolytes, hematological, alkaline phosphatase, and oxidative stress markers contributes to the development or complications of ischemic stroke. Investigations on oxidative stress markers can early identify predictors of stroke disease.

Authors

Derouiche Samir

Department of Cellular and Molecular Biology, Faculty of Natural Sciences and Life, University of El Oued, El-Oued, Algeria.

Salem Saadia

Department of Cellular and Molecular Biology, Faculty of Natural Sciences and Life, University of El Oued, El-Oued, Algeria.

Leguemairi Maroua

Department of Cellular and Molecular Biology, Faculty of Natural Sciences and Life, University of El Oued, El-Oued, Algeria.

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