Epileptic Disorders最新文献

Objective: Very few publications have reported the impact of artisanal cannabis use on overall quality of life among people with drug-resistant epilepsy. This study aimed to evaluate the association of artisanal cannabis use among adults with drug-resistant epilepsy with quality of life, and to determine if an association exists between Quality-of-Life in Epilepsy Inventory-31 (QOLIE-31) 'T scores' and different clinical variables.

Methods: This study included patients admitted to a Canadian tertiary care epilepsy center as part of a larger study. These patients were confirmed to have drug-resistant epilepsy by an epileptologist at the Ambulatory Epilepsy Clinic. Patients were categorized into cannabis users (CAN group) (n = 25) and Non-cannabis users (Non-CAN group) (n = 21). Data was collected on RedCap® for epilepsy and cannabis use details. These were analyzed for an association using a binary multivariable logistic regression model between QOLIE-31 'T scores' and age, sex, epilepsy duration, age at initiation of use, duration of cannabis use and psychiatric related comorbidity for all patients. Additionally, different 'T subscores' of the questionnaire were compared between the CAN group and Non-CAN group.

Results: A statistically significant difference between the CAN group and Non-CAN group for the T subscore 'energy and fatigue' (p = .004) was found, with the CAN group scoring higher. However, for the 'overall T score' between the two groups there was no statically significant difference (p = .11). Additionally, a significant negative correlation between 'overall T score' and cannabis use disorder (p = .032) was found.

Significance: This study provides new data on association of quality of life in epilepsy with cannabis use and can serve as a foundation for larger future studies to better assess this association.

Objective: Despite recommendations to initiate antiseizure medication treatment once the diagnosis of epilepsy is confirmed, a certain proportion of patients with epilepsy who should receive antiseizure medication treatment remain untreated. We aimed to evaluate the rate of and the reasons for the treatment gap in patients with epilepsy who were referred to their first visit in our epilepsy clinic.

Methods: We retrospectively reviewed the computerized database and the medical records of all the patients with epilepsy who had their first visit in our outpatient epilepsy clinic during a 10-year period (2012-2021).

Results: Forty-nine (6.5%) of 746 patients with epilepsy were not treated with antiseizure medications: 27 (3.6%) were nonadherent to treatment, 12 (1.6%) patients were not definitively diagnosed with epilepsy prior to their first epilepsy clinic visit, and in 10 (1.3%) patients antiseizure medication treatment was not recommended. Untreated patients had shorter epilepsy duration compared to patients treated with antiseizure medications (p = .003). At last follow-up, 77% of the untreated patients at first visit were receiving antiseizure medications compared to 97% of the initially treated group, and fewer were receiving antiseizure medication polytherapy (p = .0001).

Significance: Although the rate of treatment gap was relatively low, we believe that it should be further reduced. Efforts may focus on addressing individual causes of nonadherence to antiseizure medication treatment and on promoting knowledge of diagnosis and treatment of epilepsy among healthcare professionals.

Objective: Epileptic seizures occur frequently after stroke due to changes in brain function and structure, and up to around 10% of stroke patients experience stroke recurrence in the first year. We aimed to establish the risk of acute symptomatic seizures in patients with recurrent stroke.

Methods: Retrospective cohort study including consecutive admissions to a Stroke Unit due to acute ischemic stroke, during a 5-year period. Additional inclusion of patients admitted to two centers in different countries to corroborate findings (confirmatory cohort). We aimed to compare acute symptomatic seizure incidence in patients with and without previous stroke. Patients with history of epilepsy were excluded. Logistic regression modeling was performed to identify predictors in middle cerebral artery (MCA) stroke.

Results: We included 1473 patients (1085 with MCA stroke), of which 117 had a recurrent ischemic stroke (84 with MCA stroke). Patients with recurrent stroke had a seizure risk during hospital stay similar to that of patients with a first-ever stroke (5.1% vs. 4.5%, OR 1.15, 95% CI .48-2.71, p = .75). Risk of acute symptomatic seizures was also similar (5.0% vs. 4.1, OR 1.22, 95% CI .29-5.27, p = .78). Older age, female sex, and hemorrhagic transformation were predictors of seizures in patients with a first MCA ischemic stroke, but not in recurrent stroke patients. Electrographic characteristics were similar between the two groups in patients who had an electroencephalogram (46 with first stroke, 5 with recurrent stroke). The low rate of seizures (1.5%) in the confirmatory cohort (n = 198) precluded full comparison with the initial cohort. Nevertheless, the rate of seizures was not higher in stroke recurrence.

Significance: History of previous stroke was not associated with an increased risk of acute symptomatic seizures during hospital stay. Larger, prospective studies, with prospective electrophysiological evaluation, are needed to explore the impact of stroke recurrence on seizure risk.

Objective: Timely treatment is one of the most relevant prognostic factors in patients with urgent epileptic seizures. Despite the available evidence, treatment times remain suboptimal. The aim of this study was to demonstrate the impact of the "seizure code" in an emergency department, focusing on both treatment times and hospital outcomes of patients with urgent epileptic seizures.

Methods: An ambispective cohort study was conducted in the emergency department of a public hospital in Bogotá, Colombia. Treatment times and hospital outcomes were evaluated both before and after the implementation of the seizure code.

Results: A total of 336 patients were included (94 in the pre-seizure code period and 242 in the post-seizure code period). Both cohorts were comparable in terms of clinical and demographic baseline characteristics. After the implementation of the seizure code, in-hospital treatment times improved among patients with status epilepticus and seizure cluster. For the group of patients with status epilepticus, the time from arrival to the first benzodiazepine decreased from a median of 100.5 min (IQR: 43-152.5) to a median of 20 min (IQR: 10-45) (p = .0063), and the time from arrival to the first non-benzodiazepine antiseizure medication decreased from a median of 155 min (IQR: 49-194) to a median of 39 min (IQR: 25-57) (p = .0071). For the group of patients with seizure cluster, the time from arrival to the first non-benzodiazepine antiseizure medication decreased from a median of 296 min (IQR: 112.5-409) to a median of 72 min (IQR: 46-111) (p < .001). The seizure code significantly decreased the risk of inappropriate benzodiazepine use (p = .0087), in-hospital seizure recurrence (p < .001), in-hospital mortality (p = .0074), and prolonged hospitalizations (more than 48 h) (p = .0475).

Significance: The seizure code shortens the time to treatment, reduces the length of hospital stay, decreases the risk of inappropriate benzodiazepine use, and lowers both the in-hospital seizure recurrence and in-hospital mortality among patients with urgent epileptic seizures.

In childhood drug-resistant focal epilepsy, the identification of a magnetic resonance imaging lesion significantly affects the management and prognosis, although it is often challenging. Herein we report the preliminary results of a modified MR sequence, in which both magnetization transfer and chemical shift selective preparation pulses are added to a 3D fast spin echo T1-weighted sequence to recognize focal cortical dysplasia. The scan time is short, and the images have expected uniform suppression of the background normal gray and white matter. We report four children with focal epilepsy, in whom the focal cortical and subcortical lesions are superiorly conspicuous on the aforementioned MR sequence compared to the high-resolution fluid-attenuated inversion recovery images obtained with typical epilepsy MR protocols.

To present the background, rationale, details pertaining to use and essential computational steps, synopsis of findings to date, and future directions for the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE)-an initiative of the ILAE Neuropsychology Task Force. Examined are: (a) the 6 steps leading to the derivation of a cognitive phenotype from neuropsychological test data with an accompanying case example, (b) concise review of all IC-CoDE research to date, (c) summary of identified correlates of IC-CoDE outcomes, and (d) future research and clinical directions for the initiative. The IC-CoDE is computationally uncomplicated with individual or group data and represents a novel approach leading to new insights in the neuropsychology of epilepsy, with applications to diverse datasets internationally informing the reliability and validity of the approach. The IC-CoDE represents a novel approach to the analysis and interpretation of neuropsychological data in epilepsy that offers to advance a global taxonomy of cognitive disorders in epilepsy facilitating international collaboration and big data science.