Impact of Atherosclerotic Carotid Artery Disease in Patients of Stroke and Recent TIA Using Colour Doppler Sonography- A Prospective Study in Eastern India
Journal Title: International Journal of Contemporary Medical Research - Year 2018, Vol 5, Issue 4
Abstract
Introduction: Cerebral ischemic stroke is life-threatening and debilitating neurological disease, it is the second leading cause of death in the world. Previous many studies emphasise on significant importance of atherosclerotic carotid diseases on development of ischemic stroke. Material and Methods: This prospective non randomised clinical study done in a teaching hospital in Eastern India from December 2016 to February 2018.95 indoor patients of Ischemic CVA and symptomatic or recent history (<3months) of TIA were selected based on inclusion and exclusion criteria. Other established risk factors like hypertension, diabetes mellitus, smoking, age, family history etc documented properly. Result: Age variation, Sex variation, Distribution of risk factors, risk of Major stroke in first 3 months after TIA (ABCD2 score) were calculated. Collected data were analyzed and presented in the form of tables, figures, graphs and diagrams wherever necessary. Frequency distribution graphical representations done accordingly. In our study we had total 95 patients of which 61 patients had CVA and 34 patients had recent TIA. Male population between 55 to 65 years were found to have highest incidence of stroke. 23(24%) found to have significant stenosis of >60% of which 13 (58%) had cortical infarct.70 patients (74%) found to have atherosclerotic plaque most commonly (42%) found in Common Carotid bifurcation. Conclusion: Ischaemic CVA being one of the leading causes of mortality and morbidity specially in the elderly have modifiable and non modifiable risk factors. Of them carotid atherosclerotic plaque is a predictable correlation in both TIA and CVA patients. Color doppler study being an available, non-invasive and cost-effective tool to evaluate visible carotid disease can be an extremely useful modality to describe and predict the causality of CVA and outline a treatment guideline in a large number of patients with TIA or stroke
Authors and Affiliations
Anirban Sarkar, Faizanul Haque2, Rimi Som Sengupta, Samir Chakraborty, Tapas Kumar Mondal, Snehasish Ghosh
Keywords
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