Multidisciplinary therapy of ENB should be considered, especially for Kadish C and high-grade lesions. Craniofacial resection (CFR), Intensity modulated radiation therapy (IMRT), and chemotherapy should be investigated in a multi-institution trial of ENB.

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To investigate connections between patient demographics, health care utilization, prescription use, and refills for patients using intranasal midazolam, per rectum diazepam, or both. A retrospective cohort contained patients with epilepsy prescribed intranasal midazolam, per rectum diazepam, or both. We analyzed number of emergency department visits, ambulance services, urgent care visits, and unplanned hospitalizations. A total of 5458 patients were identified. Patients on intranasal midazolam had on average 1.53 fewer emergency department visits (95% confidence interval 1.16-1.89, P < .0001), 0.29 fewer uses of ambulance services (95% confidence interval 0.17-0.41, P < .0001), and 0.60 fewer urgent care visits (95% confidence interval 0.36-0.83, P < .0001) compared to patients in the per rectum diazepam group. Patients with commercial insurance were more likely to have intranasal midazolam prescription (odds ratio = 1.73, 95% confidence interval 1.42-2.11, P < .0001). The results substantiate the cost-effective benefits of prescribing intranasal midazolam compared to per rectum diazepam because several aspects of health care utilization were decreased in those using intranasal midazolam.

Currently, the tracking of seizures is highly subjective, dependent on qualitative information provided by the patient and family instead of quantifiable seizure data. Usage of a seizure detection device to potentially detect seizure events in a population of epilepsy patients has been previously done. Therefore, we chose the Fitbit Charge 2 smart watch to determine if it could detect seizure events in patients when compared to continuous electroencephalographic (EEG) monitoring for those admitted to an epilepsy monitoring unit. A total of 40 patients were enrolled in the study that met the criteria between 2015 and 2016. All seizure types were recorded. Twelve patients had a total of 53 epileptic seizures. The patient-aggregated receiver operating characteristic curve had an area under the curve of 0.58 [0.56, 0.60], indicating that the neural network models were generally able to detect seizure events at an above-chance level. However, the overall low specificity implied a false alarm rate that would likely make the model unsuitable in practice. Overall, the use of the Fitbit Charge 2 activity tracker does not appear well suited in its current form to detect epileptic seizures in patients with seizure activity when compared to data recorded from the continuous EEG.

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