History Of Seizures Research Articles

Cefepime Induced Neurotoxicity in Patients With or Without a History of Seizures: A Retrospective Matched Cohort Study.

Background: Cefepime is used for the treatment of nosocomial infections and serves as a carbapenem-sparing agent for treating AmpC inducible bacteria. Cefepime induced neurotoxicity (CIN) is a well-documented adverse effect, although data describing the risk of CIN in patients with a history of seizures (HOS) remains limited. Objectives: The primary and secondary objectives were to compare the rates of CIN in patients with and without HOS and identify risk factors associated with CIN, respectively. Methods: This was a retrospective matched cohort study of patients admitted to University Hospital from January 2019 to December 2022 that were initiated on cefepime with and without a baseline HOS. Patients were matched at a rate of 1:1 by age (+/- 5 years), sex, and month of admission (+/- 1 month). Results: A total of 150 patients were included, 75 in each group. There was no statistically significant difference in CIN between the two groups (9 vs 7, P = 0.7923). The only risk factors associated with CIN were age >65 (OR, 5.8 [95% CI, 1.194-27.996]), acute kidney injury (AKI) during cefepime administration (OR, 13.8 [95% CI, 2.528-75.206]), and an intensive care unit (ICU) stay (OR, 8.6 [95% CI, 1.735-42.624]). Conclusion: There was no increased risk of CIN observed in patients with HOS. Patients age >65, AKI while receiving cefepime and those admitted to the ICU were 5.8, 13.8, and 8.6 times more likely to experience CIN. These results suggest that it may be safe to administer cefepime to patients with HOS in the appropriate clinical setting.

Neuropathology of deaths due to acute alcohol toxicity in Australia, 2011–2022

BackgroundA major alcohol-related harm is structural pathology affecting the brain. The study aimed to: 1. Determine the frequency and nature of neuropathology amongst cases of death due to acute alcohol toxicity; 2. Compare diagnoses of brain atrophy with pathology in other organs; 3. Determine the demographic, clinical and organ pathology correlates of brain atrophy. Methods:Retrospective study of 500 cases of death attributed to acute alcohol toxicity in Australia, 2011–2022. Data on clinical characteristics, toxicology, neuropathology and other organ pathology were retrieved from police reports, autopsies, toxicology and coronial findings. ResultsMean age was 49.5 years, 69.4 % were male, with alcohol use problems documented in 70.2 %. Brain atrophy was diagnosed in 60 cases (12.0 %), most commonly in the cerebellum (32 cases, 6.4 %). Atrophy at other sites was present in 37 (7.4 %). The presence of brain atrophy was lower than other major pathologies: cardiomegaly (32.6 %, p<.001), nephro/arteriosclerosis (30.2 %, p<.001), and chronic obstructive pulmonary disease (21.8 %, p<.001) but not hepatic cirrhosis (11.9 % p=1.0). Those diagnosed with atrophy were older (53.4v 49.0 years, p<.001), more likely to have documented alcohol problems (85.0v 68.2 %, Odds ratio: OR 2.53) and seizure history (10.0v 3.0 %, OR 2.92), to have cardiomegaly (43.3v 31.0 %, OR 1.90, COPD (48.3v 18.2 %, 3.57) and nephro/arteriosclerosis (50.0 v 27.4 %, OR 2.27). Conclusions:Despite the majority of cases having a history of alcohol problems, the level of neuropathology amongst cases of death due to acute alcohol toxicity was comparatively low.

Hypoparathyroidism: A dark horse differential in young age cataracts

In India, cataracts account for the lion’s share of cases of blindness. Age is still the single most important risk factor for cataracts. Cataracts in the young adult age group are less common and are usually secondary to various local and systemic conditions. The aetiology may be a challenging one to ascertain in certain cases of young-age cataracts. A rapidly developing cataract in a young age individual may further add to the diagnostic dilemma especially when the patient presents with multi-system affection necessitating the widening of the horizons of suspected local and systemic pathologies at play. Therefore, we report a case of a 25-year-old lady who presented with a history of seizures, headache, disc oedema and progressive bilateral blurring of vision due to rapidly developing cataracts over 4 months in a case of primary hypoparathyroidism. Correction of the underlying abnormalities resulted in the resolution of disc oedema and headache. Furthermore, the patient had no episodes of seizures in the 1½ years of follow-up. In addition, full visual recovery was achieved after bilateral cataract surgery. Awareness of this rare presentation can help in the early diagnosis and evaluation of cataracts, besides correction of the systemic pathologies for an overall better patient outcome.

Association between microcytic-hypochromic anemia and simple febrile seizure in children

Aims: This research aims to assess the impact of microcytic-hypochromic anemia on first febrile seizures in children, given its high incidence in developed countries like Indonesia. Settings and Design: This study was conducted in a regional general hospital setting. Methods and Material: We conducted a prospective cross-sectional study including 50 patients aged 6 months to 5 years old over 14 months. Patients were divided into 2 groups: Controls were the age and sex-matched febrile children without accompanying seizures, and the case group admitted with a first simple febrile seizure. Both case and control groups were normal in growth. To provide 95% confidence and 80% power in statistical analysis, a sample size of 25 for each group was calculated. Data including age, gender, body temperature, seizure characteristics, family history of febrile seizure, and laboratory findings consisting of hemoglobin, hematocrit, and mean corpuscular volume (MCV) were recorded. Anemia is defined as having hemoglobin level of less than 10.5 g/dl in children aged 6 months to 2 years old and less than 11.5 g/dl in 2 to 6-year-old patients.

Surgical and radiosurgical treatment of hypothalamic hamartoma: The Italian experience between 2011 and 2021.

To investigate the Italian experience on the surgical and radiosurgical treatment of drug-resistant epilepsy due to hypothalamic hamartoma (HH) in the period 2011-2021 in six Italian epilepsy surgery centers, and to compare safety and efficacy profiles of the different techniques. We collected pseudo-anonymized patient's data with at least 12 months of follow-up. Surgical outcome was defined according to Engel classification of seizure outcome. Univariate analysis was performed to assess the risk of post-operative seizures, categorized in dichotomous variable as favorable and unfavorable; explanatory variables were considered. Mann-Whitney or Chi-squared test were used to assess the presence of an association between variables (p < 0.05). Full presurgical and postoperative data about 42 patients from 6 epilepsy surgery centers were gathered. Engel class I was reached in the 65.8% and 66.6% of patients with gelastic and non-gelastic seizures, respectively. Other than daily non-gelastic seizures were associated with seizure freedom (p = 0.01), and the radiological type presented a trend toward significance (p = 0.12). Endoscopic disconnection and laser interstitial thermal therapy are effective in the treatment of HH-related epilepsy, with a tolerable safety profile. Both gelastic and non-gelastic seizures can be treated, also in patients with a long history of seizures. This study collected data about 42 patients with HH-related epilepsies. Endoscopic disconnection and laser therapy are both effective and safe in the treatment of hypothalamic hamartoma-related epilepsies.

Characterizing white matter connectome abnormalities in patients with temporal lobe epilepsy using threshold-free network-based statistics.

Emerging evidence illustrates that temporal lobe epilepsy (TLE) involves network disruptions represented by hyperexcitability and other seizure-related neural plasticity. However, these associations are not well-characterized. Our study characterizes the whole brain white matter connectome abnormalities in TLE patients compared to healthy controls (HCs) from the prospective Epilepsy Connectome Project study. Furthermore, we assessed whether aberrant white matter connections are differentially related to cognitive impairment and a history of focal-to-bilateral tonic-clonic (FBTC) seizures. Multi-shell connectome MRI data were preprocessed using the DESIGNER guidelines. The IIT Destrieux gray matter atlas was used to derive the 162×162 structural connectivity matrices (SCMs) using MRTrix3. ComBat data harmonization was applied to harmonize the SCMs from pre- and post-scanner upgrade acquisitions. Threshold-free network-based statistics were used for statistical analysis of the harmonized SCMs. Cognitive impairment status and FBTC seizure status were then correlated with these findings. We employed connectome measurements from 142 subjects, including 92 patients with TLE (36 males, mean age=40.1±11.7 years) and 50 HCs (25 males, mean age=32.6±10.2 years). Our analysis revealed overall significant decreases in cross-sectional area (CSA) of the white matter tract in TLE group compared to controls, indicating decreased white matter tract integrity and connectivity abnormalities in addition to apparent differences in graph theoretic measures of connectivity and network-based statistics. Focal and generalized cognitive impaired TLE patients showcased higher trend-level abnormalities in the white matter connectome via decreased CSA than those with no cognitive impairment. Patients with a positive FBTC seizure history also showed trend-level findings of association via decreased CSA. Widespread global aberrant white matter connectome changes were observed in TLE patients and characterized by seizure history and cognitive impairment, laying a foundation for future studies to expand on and validate the novel biomarkers and further elucidate TLE's impact on brain plasticity.

Machine learning algorithms predict canine structural epilepsy with high accuracy.

Clinical reasoning in veterinary medicine is often based on clinicians' personal experience in combination with information derived from publications describing cohorts of patients. Studies on the use of scientific methods for patient individual decision making are largely lacking. This applies to the prediction of the individual underlying pathology in seizuring dogs as well. The aim of this study was to apply machine learning to the prediction of the risk of structural epilepsy in dogs with seizures. Dogs with a history of seizures were retrospectively as well as prospectively included. Data about clinical history, neurological examination, diagnostic tests performed as well as the final diagnosis were collected. For data analysis, the Bayesian Network and Random Forest algorithms were used. A total of 33 features for Random Forest and 17 for Bayesian Network were available for analysis. The following four feature selection methods were applied to select features for further analysis: Permutation Importance, Forward Selection, Random Selection and Expert Opinion. The two algorithms Bayesian Network and Random Forest were trained to predict structural epilepsy using the selected features. A total of 328 dogs of 119 different breeds were identified retrospectively between January 2017 and June 2021, of which 33.2% were diagnosed with structural epilepsy. An overall of 89,848 models were trained. The Bayesian Network in combination with the Random feature selection performed best. It was able to predict structural epilepsy with an accuracy of 0.969 (sensitivity: 0.857, specificity: 1.000) among all dogs with seizures using the following features: age at first seizure, cluster seizures, seizure in last 24 h, seizure in last 6 month, and seizure in last year. Machine learning algorithms such as Bayesian Networks and Random Forests identify dogs with structural epilepsy with a high sensitivity and specificity. This information could provide some guidance to clinicians and pet owners in their clinical decision-making process.

Incidence of seizures in ICU patients with diffuse encephalopathy and its predictors.

Encephalopathy is a diffuse brain dysfunction that results from systemic disorder. Patients with diffuse encephalopathy are at risk of developing clinical and electrographic seizures. The aim of this study is to assess the prevalence of electrographic seizures in a setting of encephalopathy and the clinical and electroencephalogram predictors. We retrospectively reviewed all continuous electroencephalograms done between 2019 and 2022. Continuous electroencephalograms with diffuse encephalopathy were included in the study. A total of 128 patients with diffuse encephalopathy were included in this study. Patients' ages ranged from 18 to 96 years old with a mean age of 55.3 ± 19.2 years old. Nine out of 128 patients had seizures with an incidence of 7%. Sixty-six point six percent were nonconvulsive electrographic seizures. Fourteen point three percent of the female patients with diffuse encephalopathy had seizures as compared to none of the male patients (P = .002). Also, 12% of patients with a history of epilepsy experienced seizures versus 5.8% of patients without this history (P = .049). Among electrographic features, 25% of patients with delta background had seizures versus 2.3% of the other patients (P = .048). Likewise, 90% of patients with periodic discharges developed seizures in comparison with none of the patients without (P = .001). Seizures are seen in 7% of patients with diffuse encephalopathy. Female gender, past history of epilepsy, delta background and periodic discharges are significant predictors of seizure development in patients with diffuse encephalopathy.

Chromosomal instability in a patient with ring chromosome 14 syndrome: a case report

BackgroundRing chromosome 14 syndrome is a rare disorder primarily marked by early-onset epilepsy, microcephaly, distinctive craniofacial features, hypotonia, intellectual disability, and delay in both development and language acquisition.Case presentationA 21-year-old woman with a history of epileptic seizures since the age of 1.5 years presented with distinctive craniofacial features, including a prominent and narrow forehead, sparse and short eyebrows, palpebral ptosis, horizontal palpebral fissures, a broad nasal bridge, a prominent nasal tip, a flat philtrum, hypertelorism, midfacial hypoplasia, horizontal labial fissures, a thin upper lip, crowded teeth, an ogival palate, retrognathia, and a wide neck. Additional physical abnormalities included kyphosis, lumbar scoliosis, pectus carinatum, cubitus valgus, thenar and hypothenar hypoplasia, bilateral hallux valgus, shortening of the Achilles tendon on the left foot, and hypoplasia of the labia minora. Chromosomal analysis identified a ring 14 chromosome with breakpoints in p11 and q32.33. An aCGH study revealed a ~ 1.7 Mb deletion on chromosome 14qter, encompassing 23 genes. Genomic instability was evidenced by the presence of micronuclei and aneuploidies involving the ring and other chromosomes.ConclusionThe clinical features of our patient closely resembled those observed in other individuals with ring chromosome 14 syndrome. The most important point was that we were able to verify an instability of the r(14) chromosome, mainly involving anaphasic lags and its exclusion from the nucleus in the form of a micronucleus.

Combined Endovascular-Microsurgical Treatment for a Parietal Brain Arteriovenous Malformation and Neuropsychological Implications: An Operative 2-Dimensional Video Case: 2-Dimensional Operative Video

Brain arteriovenous malformations (AVMs) are complex vascular anomalies characterized by abnormal veins and arteries, lacking capillary beds. With an average 2.4% annual risk of hemorrhage, AVMs pose a significant challenge in treatment, especially in high-grade cases. Risk factors of hemorrhage include young age, previous rupture, and deep or infratentorial locations. 1-10 In this operative video, a 34-year-old man presented with a history of seizures and progressive headaches over 15 years. Clinical examination revealed a Glasgow Coma Scale of 15 and neuropsychological deficits including divided attention, working memory, verbal and semantic memory, and arithmetic skills. Digital subtraction angiography confirmed an AVM Spetzler-Martin III in the right parietal lobe, with venous drainage toward the superior sagittal sinus and involvement of the superior longitudinal fasciculus. After multiple embolizations, microsurgical resection was performed successfully. Postoperatively, the patient experienced no complications, with follow-up angiography demonstrating complete AVM exclusion. The patient consent to the procedure and to the publication of his/her image. This study was approved by the ethics committee of our institution. Despite its size and location in a noneloquent area, the AVM affected neuropsychological function. The combined endovascular-microsurgical approach proved effective, highlighting the importance of considering anatomical, functional, and neuropsychological factors in AVM treatment to maximize success in achieving complete obliteration and curative outcomes.

Columella fistula: A case report

Cysts and fistulas located on the dorsum of the nose are rare occurrences. These malformations are strictly confined to the midline, extending from the columella to the glabella. In some cases, they may extend deeply, potentially reaching the leptomeningeal spaces. Imaging studies are crucial for determining the depth of extension and the relationship between the malformation and surrounding structures, such as the cribriform plate and meninges. Detection of frontal and/or nasal bone defects on computed tomography scans or the presence of a transosseous canal with or without a cyst on magnetic resonance imaging should raise suspicion of a dermal sinus cyst prompt surgical excision is indicated to mitigate the risk of the most concerning complication: Neuro-meningeal superinfection. Preferably, surgical excision should be carried out before the age of 1 year to minimize the risk of infection. If communication with meningeal spaces is suspected, neurosurgical intervention becomes necessary. Herein, we present the case of a 4-year-old male child with a history of neonatal distress, psychomotor delays, and epileptic seizures. The patient presented a fistula at the columella level, accompanied by pus discharge, within the context of dysmorphic syndrome. Consequently, the patient was scheduled for fistula excision.

Antiepileptic Drugs as Prophylaxis for Seizures after Excision of Brain Tumors

Abstract Background Seizures are the most common &amp; most serious side effect of cranial surgery. The latter condition requires chronic treatment with Antiepileptic drugs (AEDs) and comes with relevant socioeconomic sequelae. The routine prophylactic use of AEDs for people undergoing tumor resection has remained controversial due to the risk of postoperative seizures. Some Neurosurgeons are advocates to the use of AEDs to reduce the risk of these seizures. Objective To evaluate the efficacy of prophylactic AEDs routinely in brain tumor patients without previous history of seizures. Primary objective has been to identify the efficacy of AEDs in perioperative seizure prophylaxis. Secondary objective has been to highlight the most common type of post-operative AEDs. Methods All available studies from 2000-2021 including randomized or non-randomized clinical trials, prospective or retrospective observational cohort studies, and case series of six or more cases that address these criteria have been collected. Results Our search concluded that the most common type of post-operative seizure is the Early seizure which is of total 87 patients representing 12.3% of seizure reported patients, yet when comparing the P-value between the Early &amp; late seizure it has a P-value of 0.415 which is nonsignificant rendering the comparison redundant. The Most common types of AED used are Phenytoin (PHT) 89 (71.8%) &amp; Levetiracetam (LEV) 109 (81.8%). To measure the efficacy of AEDs two groups of patients with no history of AED administration or seizures preoperatively were created, one the control group of 268 participants were not administered AEDs postoperatively only 32 (11.94%) of them suffered from seizures postoperatively. The other group of 171 participants were administered the AEDs postoperatively only 25 (14.62%) of these participants suffered from postoperative seizure. Comparing both of these results statistically it had a P-value of 0.416 which is non-Significant statistically. On interpreting these results was that the AED have no influence in controlling the seizures. Conclusion Postoperative seizures are one of the main complications of brain tumor surgery. Neurosurgeons have a strong belief more of tradition that preventing seizures with Anti-Epileptic Drugs (AEDs) as a sort of seizure prophylaxis is not only effective but also necessary. Finally, there is not enough evidence of sufficient quality available to suggest that antiepileptic drugs AEDs treatment can or cannot be recommended to reduce Post-craniotomy seizures.

Tuberous sclerosis: Renal, skin and brain involvement

21-year-old male presented to our pulmonology clinic with complaints of abdominal discomfort for 2 weeks. He had history of seizures since childhood well-controlled with anti-epileptic medications. Patient had lesions on face and back on physical examination (Figure 1A &amp; 1B).

A Cross Sectional Study on Prescription Pattern of Antiepileptic Medication among Children of Southern Rajasthan in a Tertiary Care Teaching Hospital

Background: Drug utilization studies are powerful exploratory tools for establishing the role of drugs in society and also effective methods for assessing the prescribing pattern of clinicians. Around 4-10% of children suffer at least one seizure episode at 16 years of age. Even after the availability of several Antiepileptic drugs (AEDs), choosing the correct drug with accurate dosing will produce seizure-free generation. Hence, this study aims to examine the prescription patterns of drugs in epileptic children. Methods: This study was a cross sectional observational study. Children &lt;16 years old visiting neurology department with a history of epileptic seizures and already on antiepileptic drug therapy were included in the study. The data comprised of demographic details, disease history, type of seizure, diagnosis, investigations done, along with prescribed medication noted in case record form. The total study duration was 13 months. Results: In this study, the maximum epilepsy encountering age in male and female children was below the 12-year age group, male predominance was higher than females (male 60.83% vs. female 39.16%). The majority of children were diagnosed with generalized tonic colonic seizures, 54.17%, followed by focal/or partial seizures, 39.17%. Sodium valproate 19.16%, carbamazepine 14.17%, oxcarbazepine 16.67%, and levetriacetam 13.33% were the most commonly prescribed single drug regimens for treating both types of seizures, followed by clobazam added as second and third adjuvant drug in resistant epilepsy to valproate 12.5%, oxcarbazepine 6.67%, and levetriacetam plus carbamazepine combination 5% respectively. Conclusion: Monotherapy was majorly followed in 70% of pediatric patients for maintaining better patient compliance. Both old and new AEDs regimens are prescribed for maintaining the quality of life in patients.

Olfactory Neuroblastoma with Intracranial Extension

Background: Olfactory Neuroblastoma (ONB), so called esthesioneuroblastoma, is a rare malignant tumor of the sinonasal tract. ONB represents 6.3% of all sinonasal tract malignancies, with a prevalence of 0.4 cases per million population. These tumors are slow-growing and there may be intracranial extension of the tumor. Nasal obstruction, anosmia, recurrent epistaxis and pain are typical early manifestations. Imaging studies are essential in determining tumor extension and surgical planning of ONB. Endonasal biopsy is required to confirm the diagnosis of ONB. The case provides a basis for discussion of ONB and highlights the possibility of extension of this tumor. Case: A 45-year-old male presented with a generalized clonic seizure, conjugate eye deviation, and pre-seizure headache. Post-seizure, the patient was unconscious and incontinent, later appearing conscious but confused. The patient had a history of seizures at home and in the ER, along with occasional headaches over the past year. The patient described nasal congestion, decreased smell, and recurrent nosebleeds, having undergone ethmoidectomy in 2020 for papilloma. Discussion: The patient experienced symptoms of seizures, headache, and nasal disturbances. Olfactory neuroblastoma (ONB) tumor was detected after comprehensive examination. Treatment involves multimodal therapy, including surgery, chemotherapy, and radiotherapy, with prognosis depending on tumor stage and grade. Conclusion: Early diagnosis of ONB is necessary to prevent further tumor progression. Intracranial extension of the ONB should be carefully investigated. Imaging as well as histopathological and immunohistochemical examinations are very helpful in identifying the location, metastasis and degree of malignancy of the tumor.

Seizure Incidence among Children Hospitalized with COVID-19 during the Omicron Wave

Purpose: Since late 2019, coronavirus disease 2019 (COVID-19) has rapidly spread worldwide. Some children with COVID-19 present with seizures; in particular, studies have reported an increase in seizure episodes during the Omicron wave of the pandemic. This study was performed to describe the clinical characteristics of seizures among children hospitalized with COVID-19 before and during the Omicron wave.Methods: A retrospective cross-sectional study was conducted on all pediatric admissions for COVID-19 at Hospital Tunku Azizah from June 2021 to May 2022.Results: During this period, 1,586 children were admitted with COVID-19, of whom 111 (7.0%) experienced seizures. Patients with seizures were more likely to have a history of seizure (odds ratio [OR], 71.4; 95% confidence interval [CI], 23.7 to 215.2; &lt;i&gt;P&lt;/i&gt;&lt;0.001) and prior antiseizure medication use (OR, 55.1; 95% CI, 6.1 to 497.4; &lt;i&gt;P&lt;/i&gt;&lt;0.001). Most seizures (55.0%) occurred on the first day of illness, with 86.5% lasting less than 5 minutes. None of the children required intubation or admission to the pediatric intensive care unit, and all were discharged without complications. Between June 2021 and January 2022, the seizure rate varied from 1.3% to 3.4%; however, it increased to 18% in April 2022, coinciding with the period of Omicron variant predominance in Malaysia. Children admitted during the Omicron wave had significantly higher odds of experiencing seizures (OR, 7.89; 95% CI, 2.07 to 13.07; &lt;i&gt;P&lt;/i&gt;&lt;0.001) than children hospitalized prior to this wave.Conclusion: In conclusion, the study revealed a marked increase in seizures associated with pediatric COVID-19 cases during the Omicron wave.

Predicting efficacy of antiseizure medication treatment with machine learning algorithms in North Indian population

PurposeThis study aimed to develop a classifier using supervised machine learning to effectively assess the impact of clinical, demographical, and biochemical factors in accurately predicting the antiseizure medications (ASMs) treatment response in people with epilepsy (PWE). MethodsData was collected from 786 PWE at the Outpatient Department of Neurology, Institute of Human Behavior and Allied Sciences (IHBAS), New Delhi, India from 2005 to 2015. Patients were followed up at the 2nd, 4th, 8th, and 12th month over the span of 1 year for the drugs being administered and their dosage, the serum drug levels, the frequency of seizure control, drug efficacy, the adverse drug reactions (ADRs), and their compliance to ASMs. Several features, including demographic details, medical history, and auxiliary examinations electroencephalogram (EEG) or Computed Tomography (CT) were chosen to discern between patients with distinct remission outcomes. Remission outcomes were categorized into ‘good responder (GR)’ and ‘poor responder (PR)’ based on the number of seizures experienced by the patients over the study duration. Our dataset was utilized to train seven classical machine learning algorithms i.e Extreme Gradient Boost (XGB), K-Nearest Neighbor (KNN), Support Vector Classifier (SVC), Decision Tree (DT), Random Forest (RF), Naïve Bayes (NB) and Logistic Regression (LR) to construct classification models. ResultsOur research findings indicate that 1) among the seven algorithms examined, XGB and SVC demonstrated superior predictive performances of ASM treatment outcomes with an accuracy of 0.66 each and ROC-AUC scores of 0.67 (XGB) and 0.66 (SVC) in distinguishing between PR and GR patients. 2) The most influential factor in discerning PR to GR patients is a family history of seizures (no), education (literate) and multitherapy with Chi-square (χ2) values of 12.1539, 8.7232 and 13.620 respectively and odds ratio (OR) of 2.2671, 0.4467, and 1.9453 each. 3). Furthermore, our surrogate analysis revealed that the null hypothesis for both XGB and SVC was rejected at a 100 % confidence level, underscoring the significance of their predictive performance. These findings underscore the robustness and reliability of XGB and SVC in our predictive modelling framework. SignificanceUtilizing XG Boost and SVC-based machine learning classifier, we successfully forecasted the likelihood of a patient's response to ASM treatment, categorizing them as either PR or GR, post-completion of standard epilepsy examinations. The classifier’s predictions were found to be statistically significant, suggesting their potential utility in improving treatment strategies, particularly in the personalized selection of ASM regimens for individual epilepsy patients.

Use of Clozapine in persons with a history of seizures: A retrospective study

BackgroundSeizures are considered to be one of the dreaded side effects of clozapine, and due to this, the use of clozapine is avoided in patients with treatment-resistant schizophrenia. Resultantly, there is little information about the use of clozapine among patients with seizure disorder. AimTo assess the safety of clozapine in patients with history of seizures in their lifetime before starting clozapine and receiving clozapine for the management of psychotic disorders. ResultsOut of the 958 patients, 35 (3.65 %) had a history of at least one seizure episode before starting clozapine, with a mean of 5.06 (SD: 7.23; Median: 3.00) seizures before starting clozapine. The mean duration between the last seizure and the starting of clozapine was 123.75 (SD: 124.99; Median: 84) months, with nine patients having an episode of seizure in the previous 12 months and 15 patients being seizure-free for more than ten years. About one-fourth (25.7 %; nine out of 35) of the patients had recurrence of seizure while receiving clozapine for a mean duration of about five years. When the recurrence of seizure after starting clozapine was evaluated in patients receiving antiepileptics along with clozapine, the incidence of at least one seizure was 26.67 % (4 out of 15), and among those not receiving antiepileptics, the incidence of at least one seizure was 25 % (5 out of 20). The dose of clozapine at which seizure was noted ranged from 12.5 mg to 600 mg/day with a mean of 236.25 (SD: 169.04; Median: 162.5) mg/day. In none of the patients, clozapine had to be stopped due to the continuation of seizures. ConclusionAbout one-fourth of the patients with history of an episode of seizure have recurrence of seizure while receiving clozapine. The demographic and clinical variables do not differ between those who develop and who do not develop seizures after starting clozapine, including concomitant use of antiepileptics.

Exploring the diverse phenotypes of anti-GAD 65 encephalitis, diagnosis and treatment challenges

Objectives. To present two cases of anti-glutamic acid decarboxylase 65 (anti-GAD65) antibody encephalitis with different clinical phenotypes. Introduction. Anti-glutamic acid decarboxylase 65 antibody encephalitis (GAD-65 AE) is a rare pathology with a high potential for severity, having multiple forms of presentation and multiple differential diagnoses. This presentation aims to exemplify the strong clinical heterogeneity that is associated with this clinical entity by putting forth two cases that were treated in our clinic, each representing a separate clinical phenotype of this pathology. Material and methods. We analyzed two cases from our clinic of autoimmune encephalitis with positive anti-GAD65 antibodies and compared the cases with the data from the literature regarding clinical presentation, differential diagnosis, treatment, and evolution. Content. The first case presented is a woman aged 71 (66 at onset) presenting with progressive cerebellar ataxia. She was diagnosed with GAD-65 AE based on clinical presentation and positive anti-GAD65 antibodies titer. She was initially treated with methylprednisolone pulse therapy and received four such courses in the first year after diagnosis, resulting in a slowing of the progression of the neurological deficit. During the COVID19 pandemic, treatment was paused and her neurological status resumed its decline, and she also developed insulin-dependent diabetes mellitus. Starting in 2021, treatment was continued, having received one course of IVIg and one course of plasma exchange in our clinic. Eventually, the treatment was switched to Mycophenolate mofetil but her status continues to decline. The second case is about a 32 years old woman, with a history of recurrent seizures and progressive memory decline that started at 28 years. She was diagnosed 11 months after the onset with limbic encephalitis with anti-GAD65 antibodies, left temporal focal epilepsy with nocturnal seizures and mild cognitive decline. She was treated with corticotherapy and IgG. She was discharged home with antiepileptic treatment with no recurring seizures, but a slow cognitive decline. She had two relapses at distance from the onset, the first one with status epilepticus and the second one with focal seizures and a generalized seizure. She developed type I diabetes with positive anti-pancreatic islet antibodies. After the first relapse, immunosuppressive therapy with Mycophenolate mofetil was initiated. The evolution was good and under immunosuppression she had only one episode of seizures in the context of a COVID-19 infection. Conclusions. Autoimmune encephalitis with positive GAD antibodies presents a very diverse clinical picture, as we can see in the presented cases.

Oral ethanol prescribing for alcohol withdrawal syndrome: initial findings and future directions following implementation within a United Kingdom National Health Service setting

Introduction Prescribing of ethanol may be an alternative to benzodiazepines for managing alcohol withdrawal syndrome. We present our experience of oral ethanol prescribing within an acute United Kingdom National Health Service setting. Methods A retrospective review of patients presenting with alcohol withdrawal who were managed with oral ethanol or benzodiazepines was performed from data collected across two acute care settings. Ethanol prescribing inclusion: high risk of delirium tremens, or a history of harmful alcohol consumption (typically ≥30 units/day; in which 1 unit = 8 grams of alcohol; one standard United States drink = 14 grams of alcohol) or known to have a history of severe alcohol withdrawal, alcohol-related seizures or delirium tremens. Inverse propensity score weighting was used to partially account for variance between the two patient populations. Results Fifty (82 per cent male; average age 50.9 years) and 93 (84 per cent male; average age 46.5 years) patients in receipt of benzodiazepines or ethanol, respectively, were included. The likelihood of hospital admission was significantly reduced when individuals were managed with ethanol (odds ratio 0.206 (95 per cent confidence interval; 0.066-0.641), Wald chi-square P = 0.006). In those not admitted, the treatment type had no significant impact on length of stay or the number of occasions a pharmacological agent was required. In those admitted, treatment had no significant effect on length of stay. Discussion We offer preliminary evidence to support a role of oral ethanol in the management of patients with alcohol withdrawal. We have implemented a robust and translatable guideline. Despite limitations in the data set the impact of ethanol in reducing the likelihood of admission remained significant. Conclusions In individuals at significant risk of severe alcohol withdrawal, prescribing ethanol as part of a comprehensive care plan, may reduce unplanned admissions. The preliminary findings presented here warrant further assessment through prospective studies.