Evidence map›Paper›PMID 36262703›Full record

ArticleEthiopian journal of health sciences2022

Electroencephalographic Findings, Antiepileptic Drugs and Risk Factors of 433 Individuals Referred to a Tertiary Care Hospital in Ethiopia.

Biniyam A Ayele, Hanna Demissie Belay, Dereje Melka Oda, Yohannes D Gelan, Hanna Assefa Negash, Selam Kifelew, Meron Awraris Gebrewold, Teklil Hagos, Yared Z Zewde, Yared Mamushet Yifru and 5 more

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Article in Ethiopian journal of health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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15 authors.

Biniyam A AyeleDepartment of Neurology, College of Health Science, Addis Ababa University.
Hanna Demissie BelayDepartment of Neurology, College of Health Science, Addis Ababa University.
Dereje Melka OdaDepartment of Neurology, College of Health Science, Addis Ababa University.
Yohannes D GelanDepartment of Neurology, College of Health Science, Addis Ababa University.
Hanna Assefa NegashDepartment of Neurology, College of Health Science, Addis Ababa University.
Selam KifelewDepartment of Neurology, College of Health Science, Addis Ababa University.
Meron Awraris GebrewoldDepartment of Neurology, College of Health Science, Addis Ababa University.
Teklil HagosDepartment of Neurology, College of Health Science, Addis Ababa University.
Yared Z ZewdeDepartment of Neurology, College of Health Science, Addis Ababa University.
Yared Mamushet YifruDepartment of Neurology, College of Health Science, Addis Ababa University.
Fikru TsehaynehDepartment of Neurology, College of Health Science, Addis Ababa University.
Amanuel AmareDepartment of Neurology, College of Health Science, Addis Ababa University.
Ayalew MogesDepartment of Paediatrics and Child Health, College of Health Science, Addis Ababa University.
Seid Ali GugssaDepartment of Neurology, College of Health Science, Addis Ababa University.
Abenet Tafesse MengeshaDepartment of Neurology, College of Health Science, Addis Ababa University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Little is known about the characteristics of electroencephalogram (EEG) findings in epileptic patients in Ethiopia. The objective of this study was to characterize the EEG patterns, indications, antiepileptic drugs (AEDs), and epilepsy risk factors. Methods: A retrospective observational review of EEG test records of 433 patients referred to our electrophysiology unit between July 01, 2020 and December 31, 2021. Results: The age distribution in the study participants was right skewed unipolar age distribution for both sexes and the mean age of 33.8 (SD=15.7) years. Male accounted for 51.7%. Generalized tonic clonic seizure was the most common seizure type. The commonest indication for EEG was abnormal body movement with loss of consciousness (35.2%). Abnormal EEG findings were observed in 55.2%; more than half of them were Interictal epileptiform discharges, followed by focal/or generalized slowing. Phenobarbitone was the commonest AEDs. A quarter (20.1%) of the patients were getting a combination of two AEDs and 5.2% were on 3 different AEDs. Individuals taking the older AEDs and those on 2 or more AEDs tended to have abnormal EEG findings. A cerebrovascular disorder (27.4%) is the prevalent risk factor identified followed by brain tumor, HIV infection, and traumatic head injury respectively. Conclusions: High burden of abnormal EEG findings among epileptic patients referred to our unit. The proportion of abnormal EEG patterns was higher in patients taking older generation AEDs and in those on 2 or more AEDs. Stroke, brain tumor, HIV infection and traumatic head injury were the commonest identified epilepsy risk factors.

Indexed as

Brain NeoplasmsCraniocerebral TraumaEpilepsyHIV InfectionsAdultAnticonvulsantsElectroencephalographyEthiopiaFemaleHumansMalePhenobarbitalRetrospective StudiesRisk FactorsSeizuresTertiary Care CentersAnticonvulsantsPhenobarbitalElectroencephalogramepilepsyepileptiform dischargesEthiopiarisk factors

Identifiers

PMID36262703
PMCPMC9554775

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