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العنوان
Predictive Variables of Mortality After Acute Ischaemic Stroke in Tanta University Hospital /
المؤلف
Elhusseiny, Ahmed Mohamed Mahmoud.
هيئة الاعداد
باحث / احمد محمد محمود الحسينى
مشرف / وائل احمد فاضل عبد الرحمن
مشرف / حازم عبد الرحمن فايد
مشرف / ياسر ابو الفتوح الهنيدى
الموضوع
Neuropsychiatry.
تاريخ النشر
2016.
عدد الصفحات
p 100. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الطب النفسي والصحة العقلية
تاريخ الإجازة
1/1/2016
مكان الإجازة
جامعة طنطا - كلية الطب - امراض العصبيه والنفسيه
الفهرس
Only 14 pages are availabe for public view

from 136

from 136

Abstract

Ischaemic stroke is a major cause of long-term disability and mortality (Bhatia et al, 2015).In 20-40% of patients with ischaemic stroke, neurological symptoms progress during the initial hours which leading to increase post-stroke mortality (Lin et al,2011).The aim of this study is to evaluate the important predictors associated with increased mortality rate in acute cerebral ischaemic
stroke. This study was conducted on 294 patients with acute cerebral ischaemic stroke admitted to Department of Neuropsychiatry Tanta University over 6 months and these patients were followed up for another 6 months. The duration of this study started from April 2015
to April 2016. During the follow-up period, the number of missed cases who did not continue to follow up was 43 patients and divided into 11 patients at the end of date 1, 15 patients at end of date 2 and17 patients at the end of date 3. So total number of patients at the end of follow-up period was 251 patients who divided into:group I : included 66 patients who died after acute cerebral ischaemic stroke.group II :included 185 patients who survived after acute cerebral ischaemic stroke. At time of admission, patients with haemorrhagic stroke or severe systemic cause that may be a cause of death were excluded from this studyAll patients were subjected to full medical history, full general medical and detailed neurological examinations. Level of consciousness of patients among the studied groups was assessed by GCS. Stroke severity was assessed according to National Institute of health Stroke Scale (NIHSS).Type of stroke was determined according to Oxfordshire Community Stroke Project Classification(OCSP) and TOAST classification(Trial of Org 10172 in Acute Stroke Treatment)