11 research outputs found

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

    Get PDF
    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.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

    The 2022 symposium on dementia and brain aging in low‐ and middle‐income countries: Highlights on research, diagnosis, care, and impact

    Get PDF
    Two of every three persons living with dementia reside in low‐ and middle‐income countries (LMICs). The projected increase in global dementia rates is expected to affect LMICs disproportionately. However, the majority of global dementia care costs occur in high‐income countries (HICs), with dementia research predominantly focusing on HICs. This imbalance necessitates LMIC‐focused research to ensure that characterization of dementia accurately reflects the involvement and specificities of diverse populations. Development of effective preventive, diagnostic, and therapeutic approaches for dementia in LMICs requires targeted, personalized, and harmonized efforts. Our article represents timely discussions at the 2022 Symposium on Dementia and Brain Aging in LMICs that identified the foremost opportunities to advance dementia research, differential diagnosis, use of neuropsychometric tools, awareness, and treatment options. We highlight key topics discussed at the meeting and provide future recommendations to foster a more equitable landscape for dementia prevention, diagnosis, care, policy, and management in LMICs. Highlights: Two‐thirds of persons with dementia live in LMICs, yet research and costs are skewed toward HICs. LMICs expect dementia prevalence to more than double, accompanied by socioeconomic disparities. The 2022 Symposium on Dementia in LMICs addressed advances in research, diagnosis, prevention, and policy. The Nairobi Declaration urges global action to enhance dementia outcomes in LMICs

    Defining the causes of sporadic Parkinson's disease in the global Parkinson's genetics program (GP2)

    Get PDF
    The Global Parkinson’s Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding of the genetic architecture of PD. This report details the workflow for cohort integration into the complex arm of GP2, and together with our outline of the monogenic hub in a companion paper, provides a generalizable blueprint for establishing large scale collaborative research consortia

    Multi-ancestry genome-wide association meta-analysis of Parkinson?s disease

    Get PDF
    Although over 90 independent risk variants have been identified for Parkinson’s disease using genome-wide association studies, most studies have been performed in just one population at a time. Here we performed a large-scale multi-ancestry meta-analysis of Parkinson’s disease with 49,049 cases, 18,785 proxy cases and 2,458,063 controls including individuals of European, East Asian, Latin American and African ancestry. In a meta-analysis, we identified 78 independent genome-wide significant loci, including 12 potentially novel loci (MTF2, PIK3CA, ADD1, SYBU, IRS2, USP8, PIGL, FASN, MYLK2, USP25, EP300 and PPP6R2) and fine-mapped 6 putative causal variants at 6 known PD loci. By combining our results with publicly available eQTL data, we identified 25 putative risk genes in these novel loci whose expression is associated with PD risk. This work lays the groundwork for future efforts aimed at identifying PD loci in non-European populations

    Neuroimaging Features and Associated Factors in Multiple Sclerosis Patients: A Perspective from a Private Care Center in Addis Ababa, Ethiopia

    Get PDF
    BACKGROUND፡ Brain and spine magnetic resonance image (MRI) have an invaluable importance in diagnosing multiple sclerosis (MS) in low prevalence countries such as Ethiopia. The objective of our study was to characterize the neuroimaging features and associated factors in Multiple sclerosis patients inAddis Ababa, Ethiopia.METHOD: A cross-sectional observational study was conducted in 30 multiple sclerosis patients at Yehuleshet Specialty Clinic, Addis Ababa, Ethiopia. Both descriptive and analytical statistics were used to analyze the data.RESULTS: We have enrolled 30 patients with confirmed multiple sclerosis and clinically isolate syndrome. The mean age was 34.7 years (1SD=8.9). Female accounted 86.7%. The mean duration of illness was 3.4 years (1SD=3.1) (range: 1 – 11 years). Relapsing and remitting variant was the commonest sub type (66.7%). Alcohol use and head injury were the commonest identified risk factors reported by the patients. Classical radiological features of MS such as white matter lesions involving juxtacortical, U-fiber, corpus callosum (CC), and Dawson’s finger projections pattern were observed in 46.7%, 23.3%, 70%, and 40% respectively. Cervical and thoracic cords were affected in 40% and 6.7% respectively. Global cortical and CC atrophy was observed in 16.7% and 6.7% respectively. Advanced age was associated with lesions of corpus callosum when adjusted for duration of illness and history of head injury (AOR 1.13, 95% CI 1.01-1.28, p=0.04).CONCLUSION: Typical neuroimaging features of MS were prevalent among Ethiopian MS patients. Age was an independent predictor of lesions involving corpus callosum. Global cortical atrophy was common among Ethiopian MS patients
    corecore