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

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Article Type:
Research/Original Article (دارای رتبه معتبر)
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 40 voluntary individuals divided into healthy men reserved as control with Mean±SD age of 56.13±3.32 years and ischemic stroke man (patients) with Mean±SD age of 57.75±4.01 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>0.05) while serum sodium, potassium, and chloride concentrations and serum alkaline phosphatase activity significantly decreased (P<0.05) in stroke patients. Red blood cell, hemoglobin, glutathione (GSH), and total thiol levels significantly decreased (P<0.05) while white blood cell, neutrophile, platelets, malondialdehyde (MDA), superoxide dismutase (SOD), total antioxidant capacity (TAC) and vitamine C levels significantly increased (P<0.05) 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.

Language:
English
Published:
Pharmaceutical and Biomedical Research, Volume:8 Issue: 4, Dec 2022
Pages:
323 to 331
https://magiran.com/p2517686  
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