METHOD: We translated into Malay a brief screening instrument for ascertainment of epilepsy designed and validated by Ottman et al., using the three-stage cross-cultural adaptation process developed by the International Quality of Life Assessment (IQOLA) project. We then administered the translated questionnaire via online survey to 162 cases (patients with epilepsy under follow-up care at the neurology clinic in University of Malaya Medical Centre, Kuala Lumpur) and 146 controls with no known history of epilepsy for validation.
RESULTS: Applying the most liberal definition for a positive screen, we obtained a sensitivity of 96.3% (95% confidence interval [CI]: 91.8-98.5%), with a specificity of 66.4% (95% CI: 58.1-73.0%) and positive predictive value (PPV) of 2.0%. The most stringent definition for a positive screen (only epilepsy) resulted in a sensitivity of 97.4% (95% CI: 62.0-72.6%), specificity of 98.6% (95% CI: 94.6-99.7%), and PPV of 26.6%. Narrowing the definition of a positive screen decreased sensitivity but improved PPVs. When compared to the original English questionnaire, the sensitivities were similar for all four definitions of a positive screen.
CONCLUSION: This is the first validated epilepsy screening questionnaire in the Malay language and represents a useful tool for the ascertainment of epilepsy in population-based studies.
METHODS: Systematic computerized search of PubMed, Embase, and Web of Science were performed. The meta-analysis of pooled prevalence and 95 % confidence interval (CI) for tumor-related seizures were calculated by using a random effect model. Based on the 2014 epilepsy definition, a mean seizure prevalence of 60 % is used to indicate high seizure prevalence in this study.
RESULTS: 74 studies that reported seizure prevalence with 23,116 patients were included in this meta-analysis. These tumors has higher seizure incidence rate (at least 60 %) with pooled prevalence of 63 % for adult with low-grade astrocytoma (95 % CI: 57-68 %), 65 % for oligodendroglioma (95% CI: 57-72 %), 72 % for oligoastrocytoma (95 % CI: 67-77 %), 81 % for ganglioglioma (95 % CI: 66-97 %) and 94 % for DNET (94 % CI: 83-100 %).
CONCLUSION: This study highlights the type of brain tumors that carry a high seizure prevalence. Screening for subtle seizures and early management of seizures may be beneficial in patients with low-grade astrocytoma (adult), oligodendroglioma, oligoastrocytoma, ganglioglioma or DNET brain tumor.
METHODS: A hybrid model of a decision tree and Markov model was developed to evaluate 3 strategies for treating newly diagnosed epilepsy among adults: (i) CBZ initiation without HLA-B*15:02 screening (current practice); (ii) universal HLA-B*15:02 screening prior to CBZ initiation; and (iii) alternative prescribing without HLA-B*15:02 screening. The model was populated with real-world inputs derived from the Malaysian population. From a societal perspective, base-case analysis and sensitivity analyses estimated the costs and outcomes over a lifetime. Incremental cost-effectiveness ratios were calculated.
RESULTS: In the base-cases analysis, universal HLA-B*15:02 screening yielded the lowest total costs and the highest total quality-adjusted life years (QALYs) gained. Compared with current practice, universal screening was less costly by USD100 and more effective by QALYs increase of 0.1306, while alternative prescribing resulted in 0.1383 QALYs loss at additional costs of USD332. The highest seizure remission rate (56%) was estimated for universal HLA-B*15:02 screening vs. current practice (54%) and alternative prescribing (48%).
CONCLUSION: Our study suggests that universal HLA-B*15:02 screening is a cost-effective intervention in Malaysia. With the demonstrated value of real-world evidence in economic evaluations, more relevant standardization efforts should be emphasized to better inform decision-making.
METHOD: This was a pilot, assessor-blinded, randomized controlled trial. The intervention group received a guided video and was briefed to perform the exercise twice a week for two weeks while the waitlist control group only received the video upon completion of the study. The subjects were assessed at three-time points (T0: Baseline, T1: 2 weeks after the intervention, T2: 4 weeks after intervention), using the Neurological Disorders Depression Index (NDDI-E), General Anxiety Disorder (GAD-7), Quality of Life in Epilepsy Inventory (QOLIE-31) and Mindfulness Attention Awareness Scale (MAAS).
RESULTS: Twenty patients were recruited, with 10 in the intervention and waitlist-control groups. Compared with the waitlist-control group, participants in the intervention group showed significant improvement in NDDI-E at T1 (p = 0.022) but not at T2 (p = 0.056) and greater improvement in GAD-7 at T1 and T2 but not statistically significant. The QOLIE-31 overall score in the intervention group has significantly improved at T1 (p = 0.036) and T2 (p = 0.031) compared to the waitlist-control group. For MAAS, the intervention group also had an increased score at T2 (p = 0.025).
CONCLUSION: The 20-minute mindfulness breathing exercise has an immediate effect in improving depression and quality of life among people with epilepsy.
METHODS: We performed whole genome sequencing and analyzed 6 199 696 common variants among 113 aromatic ASM-induced SJS/TEN cases and 84 tolerant controls of Han Chinese ethnicity.
RESULTS: In the primary analysis, nine variants reached genome-wide significance (p
METHODS: A population-based door-to-door survey was carried out throughout the country, using questionnaire for brief screening in ascertainment of epilepsy, using a questionnaire and its validated multilingual versions. Respondents who were screened positive underwent second-stage diagnostic phone interview by neurologists/ research assistants.
RESULTS: A total 16, 686 respondents participated in the survey and 646 (3.8 %) respondents were screened positive during the first stage interview. A total of 185 consented for second stage diagnostic interview and 118 (63.8 %) respondents were contacted successfully for the second stage diagnostic phone interview, of which 17 (14.4 %) respondents were diagnosed to have epilepsy. An additional 68 (57.6 %) respondents had febrile seizures only. After applying a weighting factor to each respondent to adjust for non-response and for the varying probabilities of selection, the adjusted lifetime epilepsy prevalence was 7.8 in 1000 population, and the adjusted prevalence for active epilepsy was 4.2 in 1000 population in Malaysia.
CONCLUSION: The prevalence of lifetime epilepsy in Malaysia is 7.8 per 1000 persons.
METHODS: In 2018, we developed the HCMC epilepsy core multidisciplinary team with members from various hospitals and centers. The team typically included neurologists, neurosurgeons, neuropsychologists, psychiatrists, and nursing specialists. Presurgical evaluations were performed for patients with drug-resistant epilepsy, fulfilling the ILAE criteria, with an epileptogenic lesion (mesial temporal sclerosis, low-grade gliomas, or focal cortical dysplasia). All epilepsy surgeries were performed in two epilepsy surgery centers in HCMC between 2018 and 2021. The patients were followed up for at least 12 months.
RESULTS: Fifty-two patients with drug-resistant epilepsy underwent presurgical evaluation, of which 35 underwent surgery. Among the 52 patients, 20 (38.5%) underwent surgery after showing concordance among the results of standard presurgical assessments such as semiology, scalp interictal or ictal electroencephalography, and brain imaging. Among the 26 people with epilepsy who required more advanced evaluations, 15 underwent surgery with intraoperative electrocorticography to delineate the optimal resection borders. The outcomes of Engel Class I and Class II were achieved in 29/35 (82.8%) and 6/35 (17.2%) patients, respectively.
SIGNIFICANCE: The epilepsy surgery program with a multicentered collaborative model in a resource-limited setting showed favorable outcomes in HCMC, Vietnam.
METHODS: We conducted a cross-sectional survey by contacting country representatives in lower-middle-income countries (LMICs) in Asia, including Indonesia, Lao People's Democratic Republic (PDR), Myanmar, Philippines, Vietnam, India, Bangladesh, and Pakistan, and the upper-middle-income country Malaysia, from March 2022 to April 2022. The affordability of each ASM was calculated by dividing the 30-day ASM cost by the daily wage of the lowest paid unskilled laborers. Treatment costing 1 day's wage or less for a 30-day supply of chronic disease is considered affordable.
RESULTS: Eight LMICs and one upper-middle-income country were included in this study. Lao PDR had no newer ASM, and Vietnam had only three newer ASMs. The most frequently available ASMs were levetiracetam, topiramate, and lamotrigine, and the least frequently available was lacosamide. The majority of the newer ASMs were unaffordable, with the median number of days' wages for a 30-day supply ranging from 5.6 to 14.8 days.
SIGNIFICANCE: All new generation ASMs, whether original or generic brands, were unaffordable in most Asian LMICs.
OBJECTIVE: To develop and validate a deep learning model using readily available clinical information to predict treatment success with the first ASM for individual patients.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study developed and validated a prognostic model. Patients were treated between 1982 and 2020. All patients were followed up for a minimum of 1 year or until failure of the first ASM. A total of 2404 adults with epilepsy newly treated at specialist clinics in Scotland, Malaysia, Australia, and China between 1982 and 2020 were considered for inclusion, of whom 606 (25.2%) were excluded from the final cohort because of missing information in 1 or more variables.
EXPOSURES: One of 7 antiseizure medications.
MAIN OUTCOMES AND MEASURES: With the use of the transformer model architecture on 16 clinical factors and ASM information, this cohort study first pooled all cohorts for model training and testing. The model was trained again using the largest cohort and externally validated on the other 4 cohorts. The area under the receiver operating characteristic curve (AUROC), weighted balanced accuracy, sensitivity, and specificity of the model were all assessed for predicting treatment success based on the optimal probability cutoff. Treatment success was defined as complete seizure freedom for the first year of treatment while taking the first ASM. Performance of the transformer model was compared with other machine learning models.
RESULTS: The final pooled cohort included 1798 adults (54.5% female; median age, 34 years [IQR, 24-50 years]). The transformer model that was trained using the pooled cohort had an AUROC of 0.65 (95% CI, 0.63-0.67) and a weighted balanced accuracy of 0.62 (95% CI, 0.60-0.64) on the test set. The model that was trained using the largest cohort only had AUROCs ranging from 0.52 to 0.60 and a weighted balanced accuracy ranging from 0.51 to 0.62 in the external validation cohorts. Number of pretreatment seizures, presence of psychiatric disorders, electroencephalography, and brain imaging findings were the most important clinical variables for predicted outcomes in both models. The transformer model that was developed using the pooled cohort outperformed 2 of the 5 other models tested in terms of AUROC.
CONCLUSIONS AND RELEVANCE: In this cohort study, a deep learning model showed the feasibility of personalized prediction of response to ASMs based on clinical information. With improvement of performance, such as by incorporating genetic and imaging data, this model may potentially assist clinicians in selecting the right drug at the first trial.
METHOD: This is a cross-sectional study in the neurology clinic in a tertiary teaching hospital in Kuala Lumpur. The screening tools used were the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the General Anxiety Disorder Form (GAD-7).
RESULTS: Five hundred and eighty-five patients were recruited in this study, and 50.8% of them were male, predominantly Chinese (46.7%), with a mean age of seizure onset of 21.8 ± 16.1 years. The majority had focal seizures (75.0%), and 41.9% had seizure remission. There were 15.5% who scored ≥15 in the NDDI-E, and 17.0% had moderate or severe anxiety (scored ≥10 in the GAD-7). In a regression model to predict the NDDI-E score, the age of seizure onset recorded a higher beta value (β = -0.265, p =
METHODS: Phase III, randomized, double-blind, placebo-controlled study (EP0083; NCT03083665) evaluating BRV 50 mg/day and 200 mg/day in patients (≥16-80 years) with FOS with/without secondary generalization (focal to bilateral tonic-clonic seizures) despite current treatment with 1 or 2 concomitant antiseizure medications. Following an 8-week baseline, patients were randomized 1:1:1 to placebo, BRV 50 mg/day, or BRV 200 mg/day, and entered a 12-week treatment period. Efficacy outcomes: percent reduction over placebo in 28-day FOS frequency (primary); 50% responder rate in FOS frequency; median percent reduction in FOS frequency from baseline; seizure freedom during treatment period (secondary). Primary safety endpoints: incidences of treatment-emergent adverse events (TEAEs); TEAEs leading to discontinuation; serious TEAEs.
RESULTS: In this study, 448/449 randomized patients (mean age, 34.5 years; 53.8% female) received ≥1 dose of study medication (placebo/BRV 50 mg/BRV 200 mg/day: n = 149/151/148). Percent reduction over placebo in 28-day adjusted FOS frequency was 24.5% (p = 0.0005) and 33.4% (p
METHOD: A cross-sectional survey was completed by national representatives in all ASEAN countries (Brunei, Cambodia, East Timor, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam).
RESULTS: Overall facilities for initial epilepsy pre-surgical evaluation are available in most countries, but further non-invasive and invasive investigations are limited. Three countries (Brunei, Cambodia, and East Timor) have no epilepsy center, and 2 countries (Laos, Myanmar) have level 2 centers doing tumor surgery only. Level-3 epilepsy centers are available in 6 countries (Indonesia, Malaysia, Philippine, Singapore, Thailand, Vietnam); only 5 countries (Indonesia, Malaysia, Philippine, Singapore, Thailand) has at least one level-4 epilepsy care facility. Indonesia with 261 million population only has one level 3 and another level 4 center. The costs of presurgical evaluation and brain surgery vary within and among the countries. The main barriers towards epilepsy surgery in ASEAN include lack of expertise, funding and facilities.
CONCLUSIONS: Epilepsy surgery is underutilized in ASEAN with low number of level 3 centers, and limited availability of advanced presurgical evaluation. Lack of expertise, facilities and funding may be the key factors contributing to the underutilization.
METHODOLOGY: A cross-sectional survey using a 36-item questionnaire was conducted among country representatives to AOAN from August 2015 to August 2016.
RESULTS: A total of 18/20 AOAN member countries participated in the survey. All the countries have organized association with regular meetings, election of officers and neurology training program. In 9/18 countries, professionals other than neurologists were eligible for affiliation. In 11/18 countries, prior Internal medicine training (or equivalent postgraduate housemanship) is prerequisite to neurology program. Recertification examination is not a practice, but submission of CME is required in 7/18 countries to maintain membership. 12/18 countries publish peer-reviewed journals with at least 1 issue per year. Subspecialty training is offered in 14/18 countries. The ratio of neurologist to population ranges from 1:14,000 to as low as 1:32 million with 9/18 having <1 neurologist per 100,000 population. 6/18 countries have at least 1 specialized center solely for neurological diseases. In government-funded hospitals, the lag time to be seen by a neurologist and/or obtain neuroimaging scan ranges from 1day to 3months. All except one country have several medical- and lay- advocacy or support groups for different neurological conditions.
IMPLICATIONS: The data generated can be used for benchmarking to improve neurological care, training, collaborative work and research in the field of neurosciences among the AOAN member countries. The paper presented several strategies used by the different organizations to increase their number of neurologists and improve the quality of training. Sharing of best practices, academic networking, exchange programs and use of telemedicine have been suggested.