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العنوان
Daytime Sleepiness and Fatigue in Epileptic Patients, a Clinical and Electrophysiological Assessment
“A Questionnaire Based Study”
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الناشر
Ain Shams University.
المؤلف
Moustafa,Ahmed Samir Abdelqader .
هيئة الاعداد
باحث / أحمد سمير عبدالقادر مصطفى
مشرف / محمود حميدة محمود الرقاوى
مشرف / نجــلاء مـحمـد الـخيــاط
مشرف / جـيداء فـاروق مـكى
تاريخ النشر
2022
عدد الصفحات
130.p;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الطب النفسي والصحة العقلية
تاريخ الإجازة
1/1/2022
مكان الإجازة
جامعة عين شمس - كلية الطب - Neurology and Psychiatry
الفهرس
Only 14 pages are availabe for public view

from 130

from 130

Abstract

People with epilepsy suffer from variant complaints that affect their daily life and impair their functional ability. Excessive daytime sleepiness and fatigue are amongst theses debilitating symptoms. They could be attributed to seizures occurrence, antiepileptic use or comorbid systemic diseases, sleep disorders, or CNS insults. These symptoms also vary according to different parameters such as type of epilepsy, number of medications as well as disease control.
The commonly used scale for daytime sleepiness assessment is Epworth Sleepiness Scale “ ESS”, which is a seven-item questionnaire that evaluates sleepiness in the daily life activities of patients. Also, one of the objective methods for assessing sleepiness is the multiple sleep latency test “MSLT”, that evaluates sleepiness by calculating the median for sleep onset latency in four to five daytime naps. On the other hand, fatigue is commonly assessed by fatigue severity scale “ FSS”, that calculates the severity of fatigue using a nine- item questionnaire as well.
This study primarily aims at detecting the frequency of daytime sleepiness and fatigue among people with epilepsy in Ain Shams University Hospital and Alexandria University Hospitals, and compare theses occurrences with normal healthy controls. It secondarily aims to compare different polysomnographic parameters between epileptic patients and healthy controls, as well as detect the differences in these two symptoms according to epilepsy subtype, EEG findings as well as number of antiepileptic medications of each patient