Epilepsy classification (ILAE Classification 2017) in resource-limited countries: A cross-sectional study on epilepsy in pediatric patients from Sudan

Background: The objective of this study is to utilize the ILAE 2017 to classify epilepsy patients and determine its applicability in Sudan. Methods: This study is a prospective, descriptive, cross-sectional research conducted in two pediatric epilepsy clinics in Khartoum State, Sudan. Results: In this cross-sectional study, 350 pediatric patients with epilepsy were included, with a mean age of 8.4 ± 4.7 years and a mean illness duration of 4.71 ± 3.91 years. The ILAE classification was applied, showing that 71.11% of patients had generalized onset seizures, 27.7% had focal onset seizures, and only 1.1% had unknown onset seizures. Among patients with focal onset seizures, 56.4% had intact awareness, while 43.6% had impaired levels of awareness. The majority of patients who had generalized onset seizures experienced motor onset seizures, with tonicclonic seizures being the most common (44.2%). Nearly all patients with unknown onset seizures experienced tonic-clonic convulsions. These findings provide insights into the prevalence and types of seizures among pediatric epilepsy patients in Sudan and can guide clinicians in developing appropriate treatment plans. Conclusion: This study highlights the importance of utilizing the latest ILAE classification 2017 in epilepsy classification and its potential utilization in resource limited areas like Sudan.

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

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. CONCLUSION: 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

Role of electroencephalogram in diagnosis of attention deficit hyper activity disorder

Introduction: Attention deficit hyper activity disorder (ADHD), is the most prevalent neurodevelopmental disorder of childhood, which is characterized by the presence of inattention, hyperactivity, and/or impulsivity, EEG is the substrate of brain activity underlying cognition and behavior.Objective: To detect the abnormalities in the electroencephalogram (EEG) in patients with ADHD also to find the relation between attention deficit hyperactivity disorder symptom severity and results of EEG. Method: sixty patients of ADHD and 60 age and sex matched control were evaluated with EEG to detect abnormal waves. Results: Patients with ADHD show abnormal EEG results in the form of background slowing in3 patients (5%) and epileptiform discharge in 19 patients (32%) frontal slowing in 13 patients(22%) normal EEG in 25 patients (42%).Conclusion: There is increased low frequency activity and decreased high frequency activity in children with ADHD, this may aid as an indicator in the diagnosis of ADHD

Electroencephalography abnormalities in generalized epilepsy and their predictors: A multicenter experience

Background: In spite of the overwhelming significance of knowledge of basic elements of electroencephalography (EEG) in its application to the diagnostic workup and the management of patients with suspected or already established generalized epilepsy (GE), there is a dearth of data on the pattern and utility of clinical variables that can independently determine EEG abnormalities in GE. Objective: The study was designed to evaluate the frequency and pattern of EEG abnormality as well as assess the utility of clinical variables in predicting the likelihood of an abnormal EEG in GE. Methods: It was a cross-sectional study involving the analysis of EEGs of consecutive patients with clinical diagnosis of idiopathic GE from three centers over a 7-year period. Information on sociodemographic and seizure variables was obtained. The International Federation of Societies for Electroencephalography and Clinical Neurophysiology definition of interictal epileptiform discharges (interictal epileptiform activity [IEA]) was adopted in the study. Results: A total of 403 patients comprising 242 (60%) males and 161 (40%) females with clinical diagnosis of GE had EEG. Their age ranged between 2 weeks and 70 years, with a median age of 21 years and an interquartile age of 26 years. Two hundred and thirty-seven (58.8%) and 213 (52.9%) patients had abnormal EEG and IEA, respectively. Before adjustment for confounders, female gender (P = 0.0001), pediatric age group (P = 0.0388), duration of epilepsy of 1­4 years (P = 0.01387), uncontrolled seizure (P = 0.0060), and seizure frequency (P = 0.0001) were significantly associated with the presence of abnormal EEG. However, age, female gender, poor seizure control, and seizure frequencies were the independent predictors of EEG abnormality. Conclusion: The study showed that about 58% of patients with GE patients had abnormal EEG. Age, poor seizure control, and high frequency of seizure were independent predictors of the presence of EEG abnormality

Electroencephalographic Findings in Patients Referred for Electroencephalogram in a University Teaching Hospital in Northern Nigeria

Background: Electroencephalogram (EEG) is a valuable investigation for the assessment of patients with seizures and some other neuropsychiatric disorders. The literature is scanty of reports describing its application and usefulness in Nigerian patients. In this study we analyzed the EEG records of a series of patients who were referred with various provisional diagnoses. Materials and Methods: EEG records of the entire 200 consecutive cases referred from various clinics within and outside a tertiary hospital in Northern Nigeria during a 1 year period were analyzed. Information on biodemographic data; clinical description of symptoms and provisional diagnosis made by referring physicians and the EEG diagnosis were obtained from the records. Results: Most of the attendees were aged between 10 years and 29 years (59.5) and mostly males (63.5). About 80 of the attendees had received a provisional diagnosis of seizure disorder (generalized and partial). The EEG diagnosis of seizure disorder accounted for 75; normal EEG record accounted for 21 and organic brain disorder accounted for 4 of all EEG diagnosis. Generalized seizure disorder was the commonest seizure type by EEG diagnosis (50). There was a significant association between the provisional diagnosis and EEG diagnosis (P 0.05). Conclusion: Most of the patients referred for the EEG had their reports consistent with clinical suspicion. EEG was found to be a useful tool in the evaluation of seizures and organic brain disorder in our study

Occipital intermittent rhythmical delta activity in a schoolgirl with microcephaly

The clinical significance of occipital intermittent rhythmic delta activity (OIRDA) on the electroencephalogram (EEG) has not been fully established. Over the years, it has been suggested that the interpretation of the OIRDA electroen-cephalographic pattern may be related to metabolic problems, structural lesions, infections and epilepsy. Recent studies sug-gested that this pattern occurs almost exclusively in children and is probably of epileptic origin in most case. It has been asso-ciated with primary generalized epilepsy syndromes, such as childhood absence. An 8-year-old schoolgirl, attending the 3rd grade, with easy distractibility, inattention, low school performance,and microcephaly is described. EEG was performed awake during hyperventilation revealed occipital intermittent rhythmic delta with a frequency of 3 Hz, bilateral and synchronous, with 2nd and 4th sec of duration. Antiepileptic therapy with valproic acid was begun. After being treated for 8 months, no OIRDA was detected on follow up EEG. The presence of OIRDA activity on EEG in a child should alert us to the presence of absence epi-lepsy

Clinical neuropsychiatric correlates and EEG findings among children with developmental disorders in Lagos, Nigeria

Abstract Objective: Developmental disorders with or without associated neuropsychiatric complications continue to be one of the major health problems in Africa. The grossly inadequate management/ rehabilitative facilities further worsen this. A prospective study aimed at finding the types of developmental disorders and associated neuropsychiatric complications among children aged ≤15 years that presented with developmental disorder in the study centers over 36 month study duration. Methods: The study was carried out in the paediatric and child psychiatric clinics as well as the Electroencephalographic (EEG) unit of two major health facilities in Lagos, Nigeria: Lagos University Teaching Hospital (LUTH) and Psychiatric Hospital, Yaba, Lagos. For each subject, socio-demographic data was obtained and appropriate clinical evaluation was carried out to obtain the necessary data and clinical diagnoses. Furthermore, each of the subjects had waking EEG recording using 20-channel computerized Medelec® EEG machine. The EEG interpretation was blinded to the clinical history of the subjects. Results: Overall, one hundred and eleven (111) subjects were evaluated over the 36 month study period. The cohort was made up of 63 (56.8%) males and 48 (43.2%) females. The mean age was 4.8 (±3.9) years, with most subjects falling in the age group of 0-5 years(69.4%). Mixed specific developmental disorders were most common (55%) followed by that of specific developmental disorders of speech and language (34.2%). Forty-one (36.9%) subjects suffered from one or more types of complications, with seizure, 22(19.8%) being the most common. The waking EEG recording was normal in 22 (19.8%) subjects; while abnormal epileptiform activities were found in 85 (76.6%) of recordings. No statistically significant relationship existed between EEG abnormalities and the factors of age and clinical diagnoses (i.e developmental abnormalities). Conclusion: The small number of subjects in this study is a major hindrance to drawing a general conclusion. However, it has been shown that a number of the cohort in addition to their developmental disorders suffered from such complications as seizures, hyperactivity etc. Furthermore, a significant proportion had EEG abnormalities of the epileptiform types possibly reinforcing the previously known fact of prevalent subtle brain damage among African children. The need for preventive health care is therefore emphasized