Prevalence of epilepsy in Bangladesh: Results from a national household survey

Mohammad, Quazi Deen; Saha, Narayan Chandra; Alam, Badrul; Hoque, Seikh Azimul; Islam, Ariful; Chowdhury, Rajib Nayan; Hussain, Mohammad Enayet; Chowdhury, Yamin Shahriar; Hossain, Sakhawat; Chowdhury, Mahmood A; Rahman, Muhammad Khalilur; Majumder, Bikash Kumar; Salam, Abdus; Sarker, Amitabh; Uddin, Kafil; Moniruzzaman, Mohammad; Hakim, Ferdous; Bhuiyan, Rijwan; Anwar, Nazneen; Zaman, Maseeh uz

doi:10.1002/epi4.12430

Cited by 12 publications

(8 citation statements)

References 25 publications

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“…12 Studies including children and adult populations showed higher prevalence than pediatric studies. [13][14][15] Since 1998, no other studies on epilepsy prevalence in Morocco have been done. In the Standards for epidemiologic studies and Surveillance of Epilepsy performed by the ILAE epidemiology commission, surveys conducted by telephone were encouraged but the validity and clinical detail from self-reports and proxy reports must be considered.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of epilepsy in Morocco: A population‐based study

Souirti,

Hmidani,

Lamkadddem

et al. 2023

Epilepsia Open

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ObjectiveIn Morocco, there was a lack of data related to the epidemiology of epilepsy. This data serves as a useful basis for the development of any national intervention or action program against epilepsy in Morocco. Through this study, we aimed to estimate the active and lifetime prevalence of epilepsy in Morocco.MethodsWe collected data from eight out of 12 Moroccan regions in two steps: In the screening step, we first used a nationwide telephone diagnosis questionnaire and in the second stage, a team of physicians under the direction of an epileptologist conducted a confirmative survey for suspected cases. We fixed the confidence interval at α = 5% and the precision at 0.02.ResultsUp to 3184 responded positively to our invitation to participate in this study and were able to answer the questions of the first diagnostic questionnaire. In the diagnostic phase, physicians in neurology reinterviewed all 86 suspected cases using a confirmative diagnosis questionnaire, and 63 persons were confirmed as having lifetime epilepsy and 56 with active epilepsy. The mean age (Mean ± SD) of persons with epilepsy was 35.53 years (±21.36). The prevalence of lifetime and active epilepsy were 19.8 (19.6–20.0) and 17.6 (17.5–17.8) per 1000 (95% confidence interval), respectively.SignificanceThis is the first study to estimate the active and lifetime prevalence of epilepsy in Morocco according to the international recommendations of the ILAE. The prevalence of lifetime and active epilepsy were 19.8 (15–24.6) and 17.6 (13.3–22.8) per 1000, respectively. We included both children and elderly subjects. The rates of active and lifetime population epilepsy prevalence in Morocco ranged between Asian and sub‐Saharan Africa low‐ and middle‐income countries.

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Section: Discussionmentioning

confidence: 99%

Prevalence of epilepsy in Morocco: A population‐based study

Souirti,

Hmidani,

Lamkadddem

et al. 2023

Epilepsia Open

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“…Epileptic seizure is a chronic brain disorder caused by abrupt anomaly of brain nerve cells. It gives rise to abnormal electrical activity in human brain due to the improper firing of brain neurons [1][2][3][4][5]. Seizures have intricate and distinct traumatic symptoms including imbalance body movement, jerking of body parts, loss of consciousness, stroke and disruption of cognitive functions [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…Seizures have intricate and distinct traumatic symptoms including imbalance body movement, jerking of body parts, loss of consciousness, stroke and disruption of cognitive functions [2,4]. Severe occurrence of epileptic seizure may even cause death if the patient during seizure attack is unattended [3,5]. Around the globe, approximately 50 million people suffer from epileptic seizure; among them nearly 80% patients live in developing countries [2,3].…”

Section: Introductionmentioning

confidence: 99%

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Detection of Epileptic Seizures from EEG Signals Using Machine Learning Classifiers

2022

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Epileptic seizure is a chronic neurological disorder which affects millions of people all over the globe. It can be treated in a better way if the symptoms are detected at an early stage. In this study, we have demonstrated and evaluated the classification performances of different machine learning classifiers for the detection of epileptic seizures from electroencephalography (EEG) signals. For this, we have first applied principal component analysis (PCA) on EEG signals to obtain much reduced-length PCA vectors. These vectors are then applied to decision tree (DT), k-nearest neighbor (KNN), Naïve Bayes (NB), support vector machine (SVM) and artificial neural network (ANN) classifiers for the detection of epileptic seizures. The effects of length of PCA vectors on the performances of these classifiers have also been analyzed rigorously for 2-class, 3-class and 5-class classification of EEG signals. Besides such PCA-based classifiers, we have also proposed and evaluated the performances of a customized convolutional neural network (CNN) to directly extract features from the EEG signals as well as to perform classification tasks. The results showed that CNN outperforms PCA-based machine learning classifiers. For 2-class classification cases, CNN attains classification accuracies in the range from 99.50% to 100%, whereas 98.48% and 96.32% accuracies are obtained with CNN for 3-class and 5-class classification cases. The results signify that the proposed CNN classifier can be considered as a highly-efficient scheme for the reliable detection of epileptic seizures from EEG signals. Bangladesh Journal of Medical Physics Vol.15 No.1 2022 P 28-42

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“…2 Epilepsy affects 0.5%-1% of the children, incidence varies from high income to low middle income countries . 3 In Bangladesh, it is estimated to be 8.2/1000 (95% CI 3.4-13.0) in children aged <18 years 4 whereas Pakistan showed up to 9.99 / 1000 population. 5 The electroencephalogram (EEG) is the procedure for detecting brain waves which showed electrical activity of the brain using leads made up of metallic electrodes which records different types of lines/waves on paper.…”

Section: Introductionmentioning

confidence: 99%

Spectrum of Electroencephalographic Findings in Seizures under 6 months aged infants at a Tertiary Care Hospital

Riaz¹,

Shafique²,

Ishaq³

et al. 2021

JAFMDC

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Objectives: To determine the spectrum of electroencephalographic findings in epilepsy of infants under 6 months of age Methodology It was a cross-sectional study conducted in the Pediatrics Department, at Shaikh Zayed Hospital, Lahore from May 2018 till April 2019. One hundred and forty-two infants aged one to six months of both genders which were newly diagnosed having first episode of seizures recruited by non-probability purposive sampling. Infants with no seizures, any central nervous system abnormalities like meningomyelocele, spina bifida, encephalocele, microcephaly and already taking antiepileptic drugs were excluded. Patient’s demographic characteristics, seizure pattern and EEG record was obtained on Performa. Frequencies and percentages were calculated. Results: The mean age of infant patients was 3.18±1.90 months (1-6 months). Of the 142 infant patients, 97 (68%) were male and 45 (32%) females with positive family history in 42 (30%) patients. Epilepsy pattern revealed 101 (71.1%) presented with generalized seizures while 23 (16.2%) had focal seizures. Only 1 (0.7%) child suffered from epilepsy syndromes while seventeen (12%) had unclassified seizures. EEG reporting showed 41 (29%) had abnormal tracing. Of these, 23 (16%) patients had abnormal focal while 15 (11%) had abnormal generalized frequency and only 3 (2%) were with undetermined reporting. Normal EEG was seen in 101 (71%) patients. Conclusion: Almost one-third of patients with epilepsy had abnormal EEG findings so antiepileptic therapy selection must be tailored on individual basis, with special focus on patient’s history and clinical presentation.

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Prevalence of epilepsy in Bangladesh: Results from a national household survey

Cited by 12 publications

References 25 publications

Prevalence of epilepsy in Morocco: A population‐based study

Prevalence of epilepsy in Morocco: A population‐based study

Detection of Epileptic Seizures from EEG Signals Using Machine Learning Classifiers

Spectrum of Electroencephalographic Findings in Seizures under 6 months aged infants at a Tertiary Care Hospital

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