Healthcare utilization and cost outcomes for a multicenter first seizure and new onset epilepsy clinic.

RATIONALE: A First Seizure/New Onset Epilepsy (FS/NOE) protocol was implemented to ensure proper evaluation by an epileptologist and improve overall care for patients. We compared healthcare utilization and cost incurred by patients pre and post protocol implementation. METHODS: Clinical data were retrospectively collected from the EMR and cost data from the financial database. Patients were identified by FS event and grouped into either the pre-implementation (pre-FSC) or post-implementation cohort (post-FSC). Pre-FSC patients were seen between January 2014-December 2015 and post-FSC between March 2016-January 2018. Utilization outcomes include time from FS to neurology appointment, MRI, and electroencephalogram (EEG). Cost outcomes included the annualized median difference in pre versus post costs for ER, inpatient, outpatient or ambulatory, and total hospital services. Cost and utilization outcomes were collected within 90 days or 6 months post first-seizure event. Pre and post cohorts were compared using Kaplan-Meier analysis and Cox proportional hazard models for time-to-event outcomes, multivariable median regression models for cost differences and negative binomial regression models for utilization analyses. Models were adjusted for age, sex, health insurance, and comorbidities. RESULTS: One-hundred and fifty six patients were included with 84 (53.8%) pre- and 72 (46.2%) post-FSC patients. Kaplan-Meier and Cox regression results indicated post-FSC patients had significantly faster time-to-first neurology appointment (5.0 vs. 20.9 days, p < .001; Adjusted Hazard Ratio (HR) = 5.98, p < .001), time-to-MRI (9.0 vs. 27.0 days; p = 0.005; HR = 1.88, p = .021) and EEG (3.6 vs. 48.6 days, p < .001; HR = 9.01, p < .001). A total of 138 patients had at least one cost in the financial database. For 6-month follow-up period, post-FSC patients had higher adjusted all-cause total median costs (+$830, p = 0.009) and outpatient costs (+$1203, p < .001) but lower ED costs (-245, p = 0.073), not significant. Results were similar for seizure-related costs. Similarly, Post-FSC patients had a significantly higher likelihood of all-cause (Adjusted Rate Ratio (ARR) = 1.41, p = .029) and outpatient utilization (ARR = 1.72, p = .008) but lower ED utilization (ARR = 0.54, p < .001). CONCLUSIONS: Implementation of the FSC decreased time to evaluation by a neurologist and time to diagnostic workup. Ultimately, total healthcare costs and ambulatory costs increased but ED costs and utilization were reduced. It is our hypothesis that faster access to initial care and diagnosis would result in better control of seizures and reduce long-term costs and utilization. Further research over a longer duration of time across a broader population is needed to evaluate the full implications of an epilepsy specialist-populated FSC.

Diagnostic Yield of Epilepsy Panels in Children With Medication-Refractory Epilepsy.

BACKGROUND: When no chromosomal variations are identified, patients with suspected genetic etiologies can be tested using next-generation sequencing utilizing epilepsy panels. The primary objective of this study was to analyze the diagnostic yield of next-generation sequencing epilepsy panels in medication-resistant epilepsy subjects with non-clinically significant comparative genomic hybridization microarray results. METHODS: We completed a single-center retrospective review of the diagnostic yield of next-generation sequencing epilepsy panels in medication-resistant epilepsy subjects aged 18 years or less who had non-clinically significant comparative genomic hybridization microarray results from January 2011 to December 2014. The primary end point was the yield of clinically significant next-generation sequencing results. RESULTS: Forty-nine subjects (21 male) with medication-refractory epilepsy and clinically in significant comparative genomic hybridization microarray results were identified. Next-generation sequencing abnormalities were seen in 28 subjects (57%): seven of these 28 subjects (25%) had clinically significant findings. Mutations were found in the SCN1A gene in three subjects, in the PCDH19 gene in two subjects, and in DLG3, MECP2, TSC2, and SLC9A6 genes in one subject each. Only the MECP2 mutation was found to be pathogenic in this last subject. The additional yield of next-generation sequencing with uninformative chromosomal microarray was 14%. Positive findings were primarily seen in those with Dravet syndrome, all with SCN1A mutations (42% of clinically significant results). Given the small sample size, a larger prospective study would help to determine the clinical yield of next-generation sequencing. CONCLUSION: Next-generation sequencing seizure panels could be a useful tool in the diagnosis of nonacquired pediatric medication-refractory epilepsy with uninformative comparative genomic hybridization microarray.

The effects of lacosamide on cognition, quality-of-life measures, and quality of life in patients with refractory partial epilepsy.

OBJECTIVE: The objective of this study was to examine cognitive and quality-of-life measures/quality of life outcomes with adjunctive lacosamide therapy in patients with treatment-resistant partial epilepsy. METHODS: This was a prospective, open-label, nonblinded, adjunctive therapy test-retest (within subjects) study of patients with treatment-resistant partial epilepsy in which outcome (cognitive functioning and mood/quality of life) was measured in the same subject before and after adjunctive lacosamide administration for 24weeks. The cognitive assessment included the following: Controlled Oral Word Association Test, Buschke Selective Reminding Test, Brief Visuospatial Memory Test-Revised, Stroop Color Word Test, Symbol Digit Modalities Test, Digit Span, Digit Cancellation, and Trails A and B. The quality-of-life measures/quality-of-life assessment included the following: Beck Depression Inventory-II, Profile of Mood States, and Quality of Life Inventory-89. Lacosamide was started at 100mg (50mg twice daily) and could be titrated as needed up to 400mg/day (200mg twice daily). Baseline concomitant AEDs were kept constant. Composite scores were calculated for a pre-post difference score for the cognitive and mood/quality-of-life measures separately and used in regression analyses to correct for the effects of age, education, seizure frequency, seizure severity, dose of lacosamide, and number of AEDs at baseline. RESULTS: Thirty-four patients were enrolled (13 males, 21 females). Mean age was 38.8±2.43years. Mean seizure frequency decreased significantly from 2.0±2.55 seizures per week at baseline to 1.02±1.72 seizures per week at posttreatment (t=4.59, p<.0001) with a 50% responder rate seen in 18 patients (52.9%). No significant differences were found on the composite scores of the cognitive or the mood/quality-of-life measures after 6months of lacosamide. SIGNIFICANCE: Lacosamide appeared to have low risks of significant changes in cognition or mood/quality of life. In addition, the present study supports prior studies that have proven lacosamide as an effective adjunctive therapy for the treatment of resistant partial epilepsy.

Development and Feasibility Testing of a Critical Care EEG Monitoring Database for Standardized Clinical Reporting and Multicenter Collaborative Research.

PURPOSE: The rapid expansion of the use of continuous critical care electroencephalogram (cEEG) monitoring and resulting multicenter research studies through the Critical Care EEG Monitoring Research Consortium has created the need for a collaborative data sharing mechanism and repository. The authors describe the development of a research database incorporating the American Clinical Neurophysiology Society standardized terminology for critical care EEG monitoring. The database includes flexible report generation tools that allow for daily clinical use. METHODS: Key clinical and research variables were incorporated into a Microsoft Access database. To assess its utility for multicenter research data collection, the authors performed a 21-center feasibility study in which each center entered data from 12 consecutive intensive care unit monitoring patients. To assess its utility as a clinical report generating tool, three large volume centers used it to generate daily clinical critical care EEG reports. RESULTS: A total of 280 subjects were enrolled in the multicenter feasibility study. The duration of recording (median, 25.5 hours) varied significantly between the centers. The incidence of seizure (17.6%), periodic/rhythmic discharges (35.7%), and interictal epileptiform discharges (11.8%) was similar to previous studies. The database was used as a clinical reporting tool by 3 centers that entered a total of 3,144 unique patients covering 6,665 recording days. CONCLUSIONS: The Critical Care EEG Monitoring Research Consortium database has been successfully developed and implemented with a dual role as a collaborative research platform and a clinical reporting tool. It is now available for public download to be used as a clinical data repository and report generating tool.

Inclusion and exclusion criteria for epilepsy clinical trials-recommendations from the April 30, 2011 NINDS workshop.

On April 30th, 2011 the National Institute of Neurological Disorders and Stroke (NINDS) held a workshop to identify key problems in recent epilepsy clinical trials and propose approaches to address the barriers that impede development of new therapeutic options for epilepsy. Preliminary recommendations were made for selection criteria for subjects entered into epilepsy trials that maximize the scientific impact of the trial and increase the ability to recruit appropriate subjects efficiently and safely. These recommendations were further refined by the authors following the workshop, and subsequently shared with all NINDS workshop participants and with the participants of the 2011 AED XI workshop on epilepsy trials (approximately 200 participants) for further comment. The working group agreed to a final set of criteria that include updated considerations of subject age, clinical semiology, EEG and imaging results, use of prior and current therapies, co-occurring conditions, and suicidality, among others.

Novel LGI1 mutation in a family with autosomal dominant partial epilepsy with auditory features.

Autosomal dominant partial epilepsy with auditory features (ADPEAF) is a rare idiopathic epilepsy syndrome caused by mutations in the leucine-rich, glioma-inactivated 1 (LGI1) gene. The authors report that molecular genetic studies in seven affected family members identified a novel F318C substitution that alters a highly conserved residue in a predicted repeat domain of unknown function. This report suggests that this domain may participate in the development of the ADPEAF phenotype.