Assessment Of Frequency of EEG Findings in Children with Epilepsy in A Tertiary Care Hospital in Karachi, Pakistan

Author:

Hassan Faiqa,Ali Shazia,Munir Misbah,Masood Ali,Suharwardy Obaid Munazza,Urooj Baig Ramsha,Zakaria Faiza

Abstract

Epilepsy impacts around 46 million individuals worldwide, with an exacerbated incidence and mortality in lower-income settings Objective: To evaluate the use of EEG in determining the diagnosis of epilepsy, with its particular subtypes. This study also assessed the vital correlation between age and sex with subnormal EEG findings. Methods: It is a cross-sectional study conducted at MMI Pead’s Memon Hospital, Karachi, from January 2020 to December 2020. Age ranges between 1 month and 18 years. Study evaluated the correlation of EEG findings. The EEG patterns was also assessed. EEG patterns were categorized as normal, abnormal with either background slowing or interictal epileptiform discharges (IED) or both, types of seizure and day of admission when the EEG was performed. Using SPSS latest version, association of age, and sex with abnormal EEGs was determined Results: Two-third of the children reported normal EEG, whereas abnormal background findings were observed in the remaining one-third. Inter- ictal epileptic discharge was noted on 18 EEG reports. This finding was most frequent in children within the age bracket of 30 months to more than 67 months. A combination of inter-ictal epileptic discharge and abnormal background findings were noted in children older than 49 months. However, hypsarrhythmia was noted in 2 subjects, both under 30 months of age. With regards to diagnosis, majority of the children categorized as having generalized epilepsy were over 67 months of age. Focal epilepsy was the second most frequent diagnosis, with majority under 30 months of age. On the association of EEG findings with sex, out findings were insignificant. Conclusions: EEG has been determined as the investigation of choice among patients with epilepsy, however it may have certain limitations in providing an accurate diagnosis, and must not be relied on as the sole determinant of epilepsy.

Publisher

CrossLinks International Publishers

Subject

General Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3