ORIGINAL ARTICLE

Electroencephalogram (EEG) features and clinical presentation in the elderly patient at neurologic policlinic Sanglah General Hospital between July 2015-2017 period

Anak Agung Ayu Meidiary , Anna Marita Gelgel, I Gusti Ngurah Purna Putra

Anak Agung Ayu Meidiary
Neurogeriatric, neurophysiology and epilepsy subdivision, Department of Neurology Sanglah General Hospital, Universitas Udayana, Denpasar Bali Indonesia/Perdossi Denpasar, Indonesia. Email: drmeidiary@yahoo.com

Anna Marita Gelgel
Neurogeriatric, neurophysiology and epilepsy subdivision, Department of Neurology Sanglah General Hospital, Universitas Udayana, Denpasar Bali Indonesia/Perdossi Denpasar, Indonesia

I Gusti Ngurah Purna Putra
Neurogeriatric, neurophysiology and epilepsy subdivision, Department of Neurology Sanglah General Hospital, Universitas Udayana, Denpasar Bali Indonesia/Perdossi Denpasar, Indonesia
Online First: August 01, 2019 | Cite this Article
Meidiary, A., Gelgel, A., Putra, I. 2019. Electroencephalogram (EEG) features and clinical presentation in the elderly patient at neurologic policlinic Sanglah General Hospital between July 2015-2017 period. Bali Medical Journal 8(2). DOI:10.15562/bmj.v8i2.1484


Background: Epilepsy has the highest prevalence and many diagnostic process challenges in the elderly population. Research about clinical, type of seizure, and electroencephalogram (EEG) features is very limited in Indonesia, including in Bali. This study aims to know clinical, type of seizure and electroencephalogram (EEG) features in elderly patients.

Methods: Cross-sectional descriptive study was conducted among 76 elderly-patients consecutively at Neurologic Policlinic of Sanglah General Hospital Denpasar Bali between July 2015-2017. The clinical aspect, age, gender, and type of seizure were analyzed. Digital electroencephalogram (EEG) was obtained from all patients by 30 minutes of routine EEG recording. Data were analyzed using univariate analysis to determine the frequency distribution of each variable and showed as a percentage in SPSS version 17 for Windows.

Results: There were 43 (56,57%) males and 33 (43,43%) females enrolled. Most of the epilepsy in elderly are symptomatic epilepsy which consists of post-stroke epilepsy (30,26%), post-traumatic epilepsy (1,32%), epilepsy-related to brain tumor (10,53%), and post encephalitis epilepsy (6,58%). The type of seizure dominated by partial seizure (57,9%) compared with others.  EEG result of 76% of patients was classified as normal EEG, and 24% were abnormal EEG.

Conclusion: Most of epilepsy in the elderly are symptomatic epilepsy, and the most cause is post-stroke epilepsy. The partial seizure is the most frequent type of seizure in the elderly.

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