Karakteristik Penderita Epilepsi di Bangsal Anak RSUP Dr. M. Djamil Padang Tahun 2018

Author:

Khairin Khalvia,Zeffira Laura,Malik Rifkind

Abstract

Background: Epilepsy is a condition characterized by recurrent seizures that occur due to the disruption of brain function caused by an abnormal electrical charge on brain neurons. Epilepsy has two categories of seizures, they are focal seizures and generalized seizures. The incidence of epilepsy is estimated to be more prevalent in developing countries than developed countries. In 2017, the number of cases of children with epilepsy in West Sumatra, especially at RSUP Dr. M. Djamil Padang, there are 1081 cases in the outpatient and inpatient cases and will be expected to increase every year.Purpose: To find out the characteristics of epilepsy disease in the children's ward RSUP Dr. M. Djamil Padang in 2018.Method: This research was conducted at RSUP Dr. M. Djamil Padang. This research is descriptive with cross sectional design. Data sources from secondary data derived from medical records. Samples were selected using inclusion and exclusion criteria. Data analysis uses univariate analysis.Results: The results of the study were obtained from 65 samples suffering from epilepsy, there are age 0-5 years as many as 37 people (56.9%), male gender as many as 39 people (60%), do not have a family history of epilepsy as much as 62 people (95.4%), picture of sharp wave and spikes EEG as many as 30 people (46.2%), generalized seizure type as many as 57 people (87.7%) and valproic acid as one of the management of epilepsy as many as 32 people (49, 2%).Conclusion: From the results of this study, it can be concluded that most people with epilepsy are aged 0-5 years with male sex and do not have a family history of epilepsy. The types of EEG images are sharp waves and spikes, the type of generalized seizures with the most management of valproic acid.

Publisher

Universitas Baiturrahmah

Subject

General Medicine,General Chemistry

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Electroencephalography (EEG) Signal Identification for Epilepsy Using Support Vector Machine (SVM);2023 17th International Conference on Telecommunication Systems, Services, and Applications (TSSA);2023-10-12

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