Temporal trends in the cost and use of first-line treatments for infantile epileptic spasms syndrome.

OBJECTIVE: To describe the temporal trends in the cost and use of adrenocorticotropic hormone (ACTH), oral prednisolone, and vigabatrin, the first-line treatments for infantile epileptic spasms syndrome (IESS). METHODS: Retrospective observational study using the MarketScan Commercial database from 2006 to 2020. We identified patients with IESS diagnosed between birth and 18 months of age who received at least one of the first-line treatments within 60 days of diagnosis. Costs were adjusted for inflation using the Gross Domestic Product Implicit Price Deflator. RESULTS: A total of 1131 patients received at least one first-line treatment (median [p25 -p75 ] age: 6.3 [4.5-8.3] months, 55% male), of whom 592 patients received ACTH, 363 patients received oral prednisolone, and 355 patients received vigabatrin. After adjusting for inflation, the median average wholesale price of a 14-day course of treatment increased for ACTH from $3718 in 2006 to $100 457 in 2020, ~2700% (by a factor of 27), whereas it decreased for oral prednisolone from $169 in 2006 to $89 in 2020, ~50% (by a factor of 0.5), and increased for vigabatrin from $1206 in 2009 (first year with data on vigabatrin used for IESS) to $4102 in 2020, ~340% (by a factor of 3.4). During the first 60 days after diagnosis, inpatient admission days and costs where higher for ACTH than for oral prednisolone and vigabatrin-5.0 (3.0-8.3) days vs 2.0 (0.0-5.0) days vs 2.0 (0.0-6.0) days, p < .0001; and $32 828 ($14 711-$67 216) vs $16 227 ($0-$35 829) vs $17 844 ($0-$47 642), p < .0001. ACTH use decreased from representing 78% of first-line treatments in 2006 to 18% in 2020 (p < .0001). Sensitivity analyses confirmed the robustness of the results. SIGNIFICANCE: The gap between the cost of ACTH and the cost of oral prednisolone or vigabatrin has widened markedly from 2006 to 2020, whereas the relative proportion of ACTH use has decreased.

Genomic analysis of "microphenotypes" in epilepsy.

Large international consortia examining the genomic architecture of the epilepsies focus on large diagnostic subgroupings such as "all focal epilepsy" and "all genetic generalized epilepsy". In addition, phenotypic data are generally entered into these large discovery databases in a unidirectional manner at one point in time only. However, there are many smaller phenotypic subgroupings in epilepsy, many of which may have unique genomic risk factors. Such a subgrouping or "microphenotype" may be defined as an uncommon or rare phenotype that is well recognized by epileptologists and the epilepsy community, and which may or may not be formally recognized within the International League Against Epilepsy classification system. Here we examine the genetic structure of a number of such microphenotypes and report in particular on two interesting clinical phenotypes, Jeavons syndrome and pediatric status epilepticus. Although no single gene reached exome-wide statistical significance to be associated with any of the diagnostic categories, we observe enrichment of rare damaging variants in established epilepsy genes among Landau-Kleffner patients (GRIN2A) and pediatric status epilepticus patients (MECP2, SCN1A, SCN2A, SCN8A).

Cost-effectiveness of adrenocorticotropic hormone versus oral steroids for infantile spasms.

OBJECTIVE: To compare the effectiveness and cost-effectiveness of adrenocorticotropic hormone (ACTH) and oral steroids as first-line treatment for infantile spasm resolution, we performed a systematic review, meta-analysis, and cost-effectiveness study. METHODS: A decision analysis model was populated with effectiveness data from a systematic review and meta-analysis of existing literature and cost data from publicly available prices. Effectiveness was defined as the probability of clinical spasm resolution 14 days after treatment initiation. RESULTS: We included 21 studies with a total of 968 patients. The effectiveness of ACTH was not statistically significantly different from that of oral steroids (.70, 95% confidence interval [CI] = .60-.79 vs. .63, 95% CI = .56-.70; p = .28). Considering only the three available randomized trials with a total of 185 patients, the odds ratio of spasm resolution at 14 days with ACTH compared to high-dose prednisolone (4-8 mg/kg/day) was .92 (95% CI = .34-2.52, p = .87). Adjusting for potential publication bias, estimates became even more favorable to high-dose prednisolone. Using US prices, the more cost-effective treatment was high-dose prednisolone, with an incremental cost-effectiveness ratio (ICER) of $333 per case of spasms resolved, followed by ACTH, with an ICER of $1 432 200 per case of spasms resolved. These results were robust to multiple sensitivity analyses and different assumptions. Prednisolone at 4-8 mg/kg/day was more cost-effective than ACTH under a wide range of assumptions. SIGNIFICANCE: For infantile spasm resolution 2 weeks after treatment initiation, current evidence does not support the preeminence of ACTH in terms of effectiveness and, especially, cost-effectiveness.

Twenty-four-hour patterns in electrodermal activity recordings of patients with and without epileptic seizures.

OBJECTIVE: Daytime and nighttime patterns affect the dynamic modulation of brain and body functions and influence the autonomic nervous system response to seizures. Therefore, we aimed to evaluate 24-hour patterns of electrodermal activity (EDA) in patients with and without seizures. METHODS: We included pediatric patients with (a) seizures (SZ), including focal impaired awareness seizures (FIAS) or generalized tonic-clonic seizures (GTCS), (b) no seizures and normal electroencephalography (NEEG), or (c) no seizures but epileptiform activity in the EEG (EA) during vEEG monitoring. Patients wore a device that continuously recorded EDA and temperature (TEMP). EDA levels, EDA spectral power, and TEMP levels were analyzed. To investigate 24-hour patterns, we performed a nonlinear mixed-effects model analysis. Relative mean pre-ictal (-30 min to seizure onset) and post-ictal (I: 30 min after seizure offset; II: 30 to 60 min after seizure offset) values were compared for SZ subgroups. RESULTS: We included 119 patients (40 SZ, 17 NEEG, 62 EA). EDA level and power group-specific models (SZ, NEEG, EA) (h = 1; P < .01) were superior to the all-patient cohort model. Fifty-nine seizures were analyzed. Pre-ictal EDA values were lower than respective 24-hour modulated SZ group values. Post hoc comparisons following the period-by-seizure type interaction (EDA level: χ2  = 18.50; P < .001, and power: χ2  = 6.73; P = .035) revealed that EDA levels were higher in the post-ictal period I for FIAS and GTCS and in post-ictal period II for GTCS only compared to the pre-ictal period. SIGNIFICANCE: Continuously monitored EDA shows a pattern of change over 24 hours. Curve amplitudes in patients with recorded seizures were lower as compared to patients who did not exhibit seizures during the recording period. Sympathetic skin responses were greater and more prolonged in GTCS compared to FIAS. EDA recordings from wearable devices offer a noninvasive tool to continuously monitor sympathetic activity with potential applications for seizure detection, prediction, and potentially sudden unexpected death in epilepsy (SUDEP) risk estimation.

Wearable devices for seizure detection: Practical experiences and recommendations from the Wearables for Epilepsy And Research (WEAR) International Study Group.

The Wearables for Epilepsy And Research (WEAR) International Study Group identified a set of methodology standards to guide research on wearable devices for seizure detection. We formed an international consortium of experts from clinical research, engineering, computer science, and data analytics at the beginning of 2020. The study protocols and practical experience acquired during the development of wearable research studies were discussed and analyzed during bi-weekly virtual meetings to highlight commonalities, strengths, and weaknesses, and to formulate recommendations. Seven major essential components of the experimental design were identified, and recommendations were formulated about: (1) description of study aims, (2) policies and agreements, (3) study population, (4) data collection and technical infrastructure, (5) devices, (6) reporting results, and (7) data sharing. Introducing a framework of methodology standards promotes optimal, accurate, and consistent data collection. It also guarantees that studies are generalizable and comparable, and that results can be replicated, validated, and shared.

Clinical presentation of new onset refractory status epilepticus in children (the pSERG cohort).

OBJECTIVE: We aimed to characterize the clinical profile and outcomes of new onset refractory status epilepticus (NORSE) in children, and investigated the relationship between fever onset and status epilepticus (SE). METHODS: Patients with refractory SE (RSE) between June 1, 2011 and October 1, 2016 were prospectively enrolled in the pSERG (Pediatric Status Epilepticus Research Group) cohort. Cases meeting the definition of NORSE were classified as "NORSE of known etiology" or "NORSE of unknown etiology." Subgroup analysis of NORSE of unknown etiology was completed based on the presence and time of fever occurrence relative to RSE onset: fever at onset (≤24 h), previous fever (2 weeks-24 h), and without fever. RESULTS: Of 279 patients with RSE, 46 patients met the criteria for NORSE. The median age was 2.4 years, and 25 (54%) were female. Forty (87%) patients had NORSE of unknown etiology. Nineteen (48%) presented with fever at SE onset, 16 (40%) had a previous fever, and five (12%) had no fever. The patients with preceding fever had more prolonged SE and worse outcomes, and 25% recovered baseline neurological function. The patients with fever at onset were younger and had shorter SE episodes, and 89% recovered baseline function. SIGNIFICANCE: Among pediatric patients with RSE, 16% met diagnostic criteria for NORSE, including the subcategory of febrile infection-related epilepsy syndrome (FIRES). Pediatric NORSE cases may also overlap with refractory febrile SE (FSE). FIRES occurs more frequently in older children, the course is usually prolonged, and outcomes are worse, as compared to refractory FSE. Fever occurring more than 24 h before the onset of seizures differentiates a subgroup of NORSE patients with distinctive clinical characteristics and worse outcomes.

Factors associated with long-term outcomes in pediatric refractory status epilepticus.

OBJECTIVE: This study was undertaken to describe long-term clinical and developmental outcomes in pediatric refractory status epilepticus (RSE) and identify factors associated with new neurological deficits after RSE. METHODS: We performed retrospective analyses of prospectively collected observational data from June 2011 to March 2020 on pediatric patients with RSE. We analyzed clinical outcomes from at least 30 days after RSE and, in a subanalysis, we assessed developmental outcomes and evaluated risk factors in previously normally developed patients. RESULTS: Follow-up data on outcomes were available in 276 patients (56.5% males). The median (interquartile range [IQR]) follow-up duration was 1.6 (.9-2.7) years. The in-hospital mortality rate was 4% (16/403 patients), and 15 (5.4%) patients had died after hospital discharge. One hundred sixty-six (62.9%) patients had subsequent unprovoked seizures, and 44 (16.9%) patients had a repeated RSE episode. Among 116 patients with normal development before RSE, 42 of 107 (39.3%) patients with available data had new neurological deficits (cognitive, behavioral, or motor). Patients with new deficits had longer median (IQR) electroclinical RSE duration than patients without new deficits (10.3 [2.1-134.5] h vs. 4 [1.6-16] h, p = .011, adjusted odds ratio = 1.003, 95% confidence interval = 1.0008-1.0069, p = .027). The proportion of patients with an unfavorable functional outcome (Glasgow Outcome Scale-Extended score ≥ 4) was 22 of 90 (24.4%), and they were more likely to have received a continuous infusion. SIGNIFICANCE: About one third of patients without prior epilepsy developed recurrent unprovoked seizures after the RSE episode. In previously normally developing patients, 39% presented with new deficits during follow-up, with longer electroclinical RSE duration as a predictor.

Benzodiazepine administration patterns before escalation to second-line medications in pediatric refractory convulsive status epilepticus.

OBJECTIVE: This study was undertaken to evaluate benzodiazepine (BZD) administration patterns before transitioning to non-BZD antiseizure medication (ASM) in pediatric patients with refractory convulsive status epilepticus (rSE). METHODS: This retrospective multicenter study in the United States and Canada used prospectively collected observational data from children admitted with rSE between 2011 and 2020. Outcome variables were the number of BZDs given before the first non-BZD ASM, and the number of BZDs administered after 30 and 45 min from seizure onset and before escalating to non-BZD ASM. RESULTS: We included 293 patients with a median (interquartile range) age of 3.8 (1.3-9.3) years. Thirty-six percent received more than two BZDs before escalating, and the later the treatment initiation was after seizure onset, the less likely patients were to receive multiple BZD doses before transitioning (incidence rate ratio [IRR] = .998, 95% confidence interval [CI] = .997-.999 per minute, p = .01). Patients received BZDs beyond 30 and 45 min in 57.3% and 44.0% of cases, respectively. Patients with out-of-hospital seizure onset were more likely to receive more doses of BZDs beyond 30 min (IRR = 2.43, 95% CI = 1.73-3.46, p < .0001) and beyond 45 min (IRR = 3.75, 95% CI = 2.40-6.03, p < .0001) compared to patients with in-hospital seizure onset. Intermittent SE was a risk factor for more BZDs administered beyond 45 min compared to continuous SE (IRR = 1.44, 95% CI = 1.01-2.06, p = .04). Forty-seven percent of patients (n = 94) with out-of-hospital onset did not receive treatment before hospital arrival. Among patients with out-of-hospital onset who received at least two BZDs before hospital arrival (n = 54), 48.1% received additional BZDs at hospital arrival. SIGNIFICANCE: Failure to escalate from BZDs to non-BZD ASMs occurs mainly in out-of-hospital rSE onset. Delays in the implementation of medical guidelines may be reduced by initiating treatment before hospital arrival and facilitating a transition to non-BZD ASMs after two BZD doses during handoffs between prehospital and in-hospital settings.

Association between semiologic, autonomic, and electrographic seizure characteristics in children with generalized tonic-clonic seizures.

INTRODUCTION: Generalized tonic-clonic seizures (GTCS) are associated with elevated electrodermal activity (EDA) and postictal generalized electroencephalographic suppression (PGES), markers that may indicate sudden unexpected death in epilepsy (SUDEP) risk. This study investigated the association of GTCS semiology, EDA, and PGES in children with epilepsy. METHODS: Patients admitted to the Boston Children's Hospital long-term video-EEG monitoring unit wore a sensor that records EDA. We selected patients with at least one GTCS and reviewed video-EEGs for semiology, tonic and clonic phase duration, total clinical seizure duration, electrographic onset, offset, and PGES. We grouped patients into three semiology classes: GTCS 1: bilateral symmetric tonic arm extension, GTCS 2: no specific tonic arm extension or flexion, GTCS 3: unilateral or asymmetrical arm extension, tonic arm flexion or posturing that does not fit into GTCS 1 or 2. We analyzed the correlation between semiology, EDA, and PGES, and measured the area under the curve (AUC) of the ictal EDA (seizure onset to one hour after), subtracting baseline EDA (one-hour seizure-free before seizure onset). Using generalized estimating equation (GEE) and linear regression, we analyzed all seizures and single episodes per patient. RESULTS: We included 30 patients (median age 13.8 ±â€¯3.6 years, 46.7% females) and 53 seizures. With GEE, GTCS 1 was associated with longer PGES duration compared to GTCS 2 (Estimate (ß) = -26.32 s, 95% Confidence Interval (CI): -36.46 to -16.18, p < 0.001), and the presence of PGES was associated with greater EDA change (ß = 429604 µS, 95% CI: 3550.96 to 855657.04, p = 0.048). With single-episode analysis, GTCS 1 had greater EDA change than GTCS 2 ((ß = -601339 µS, 95% CI: -1167016.56 to -35661.44, p = 0.047). EDA increased with PGES presence (ß = 637500 µS, 95% CI: 183571.84 to 1091428.16, p = 0.01) and duration (ß = 16794 µS, 95% CI: 5729.8 to 27858.2, p = 0.006). Patients with GTCS 1 had longer PGES duration compared to GTCS 2 (ß = -30.53 s, 95% CI: -44.6 to -16.46, p < 0.001) and GTCS 3 (ß = -22.07 s, 95% CI: -38.95 to -5.19, p = 0.016). CONCLUSION: In children with epilepsy, PGES correlates with greater ictal EDA. GTCS 1 correlated with longer PGES duration and may indirectly correlate with greater ictal EDA. Our study suggests potential applications in monitoring and preventing SUDEP in these patients.

Super-Refractory Status Epilepticus in Children: A Retrospective Cohort Study.

OBJECTIVES: To characterize the pediatric super-refractory status epilepticus population by describing treatment variability in super-refractory status epilepticus patients and comparing relevant clinical characteristics, including outcomes, between super-refractory status epilepticus, and nonsuper-refractory status epilepticus patients. DESIGN: Retrospective cohort study with prospectively collected data between June 2011 and January 2019. SETTING: Seventeen academic hospitals in the United States. PATIENTS: We included patients 1 month to 21 years old presenting with convulsive refractory status epilepticus. We defined super-refractory status epilepticus as continuous or intermittent seizures lasting greater than or equal to 24 hours following initiation of continuous infusion and divided the cohort into super-refractory status epilepticus and nonsuper-refractory status epilepticus groups. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We identified 281 patients (157 males) with a median age of 4.1 years (1.3-9.5 yr), including 31 super-refractory status epilepticus patients. Compared with nonsuper-refractory status epilepticus group, super-refractory status epilepticus patients had delayed initiation of first nonbenzodiazepine-antiseizure medication (149 min [55-491.5 min] vs 62 min [33.3-120.8 min]; p = 0.030) and of continuous infusion (495 min [177.5-1,255 min] vs 150 min [90-318.5 min]; p = 0.003); prolonged seizure duration (120 hr [58-368 hr] vs 3 hr [1.4-5.9 hr]; p < 0.001) and length of ICU stay (17 d [9.5-40 d] vs [1.8-8.8 d]; p < 0.001); more medical complications (18/31 [58.1%] vs 55/250 [22.2%] patients; p < 0.001); lower return to baseline function (7/31 [22.6%] vs 182/250 [73.4%] patients; p < 0.001); and higher mortality (4/31 [12.9%] vs 5/250 [2%]; p = 0.010). Within the super-refractory status epilepticus group, status epilepticus resolution was attained with a single continuous infusion in 15 of 31 patients (48.4%), two in 10 of 31 (32.3%), and three or more in six of 31 (19.4%). Most super-refractory status epilepticus patients (30/31, 96.8%) received midazolam as first choice. About 17 of 31 patients (54.8%) received additional treatments. CONCLUSIONS: Super-refractory status epilepticus patients had delayed initiation of nonbenzodiazepine antiseizure medication treatment, higher number of medical complications and mortality, and lower return to neurologic baseline than nonsuper-refractory status epilepticus patients, although these associations were not adjusted for potential confounders. Treatment approaches following the first continuous infusion were heterogeneous, reflecting limited information to guide clinical decision-making in super-refractory status epilepticus.

Retrospective observational study on hospital readmission for status epilepticus in the United States over 2016.

OBJECTIVE: Describe hospital readmission for status epilepticus (SE) in the United States, and study potential risk factors for readmission. METHODS: This is a retrospective observational study using the Healthcare Cost and Utilization Project's 2016 Nationwide Readmissions Database. We studied patients of all ages admitted to the hospital due to SE. RESULTS: We included 32 327  patients admitted for SE in 2016. 8.4% of these patients were readmitted for SE at least one more time within 2016 (cross-sectional analysis). The incidence rate was 18 readmissions for SE per 1000 patient-months. Among the survivors of the index admission for SE who had at least 6 months of follow-up within this database (16 043  patients), the cumulative probability of having a readmission for SE at 1, 3, and 6 months from the index admission was approximately 3.5%, 7.5%, and 11%, respectively (time-to-event analysis). Patients with refractory epilepsy were more likely to have a readmission for SE compared to patients without refractory epilepsy (hazard ratio [HR] 1.49, 95% confidence interval [CI] 1.23-1.82, adjusted P =.0006), and pediatric patients were more likely to have a readmission for SE compared to adult patients (HR 1.53, 95% CI 1.26-1.87, adjusted P = .0003) during 6-month follow-up. SIGNIFICANCE: Hospital readmissions for SE in the United States are frequent. Independent factors associated with readmission in this database were refractory epilepsy and pediatric age.

The burden of decisional uncertainty in the treatment of status epilepticus.

OBJECTIVE: Treatments for convulsive status epilepticus (SE) have a wide range of effectiveness. The estimated effectiveness of non-intravenous benzodiazepines (non-IV BZDs) ranges from approximately 70% to 90% and the estimated effectiveness of non-benzodiazepine antiseizure medications (non-BZD ASMs) ranges from approximately 50% to 80%. This study aimed to quantify the clinical and economic burden of decisional uncertainty in the treatment of SE. METHODS: We performed a decision analysis that evaluates how decisional uncertainty on treatment choices for SE impacts hospital admissions, intensive care unit (ICU) admissions, and costs in the United States. We evaluated treatment effectiveness based on the available literature. RESULTS: Use of a non-IV BZD with high estimated effectiveness, like intranasal midazolam, rather than one with low estimated effectiveness, like rectal diazepam, would result in a median (p25 -p75 ) reduction in hospital admissions from 6 (3.9-8.8) to 1.1 (0.7-1.8) per 100 cases and associated cost reductions of $638 ($289-$1064) per pediatric patient and $1107 ($972-$1281) per adult patient. For BZD-resistant SE, use of a non-BZD ASM with high estimated effectiveness, like phenobarbital, rather than one with low estimated effectiveness, like phenytoin/fosphenytoin, would result in a reduction in ICU admissions from 9.1 (7.3-11.2) to 3.9 (2.6-5.5) per 100 cases and associated cost reduction of $1261 ($445-$2223) per pediatric patient and $319 ($-93-$806) per adult patient. Sensitivity analyses showed that relatively minor improvements in effectiveness may lead to substantial reductions in downstream hospital admissions, ICU admissions, and costs. SIGNIFICANCE: Decreasing decisional uncertainty and using the most effective treatments for SE may substantially decrease hospital admissions, ICU admissions, and costs.

Evolution of antiseizure medication use and cost in the United States of America 2006-2021.

OBJECTIVE: To describe the evolution in use and cost of antiseizure medications (ASM) in the United States of America (USA). METHODS: Retrospective descriptive study using the IBM MarketScan Commercial Database (data of privately-insured patients) for the years 2006 to 2021. We identified patients with epilepsy who were on ASM. We adjusted cost for inflation with the Gross Domestic Product Implicit Price Deflator. RESULTS: We evaluated 347,158 patients (46.9 % males; median (p25-p75) age: 33 (17-49) years; 28 % with pediatric-onset epilepsy and 72 % with adult-onset epilepsy) with a total of 1,385,382 person-years and 588,285,065 ASM prescription days. The most commonly prescribed (as percentage of prescription days) ASMs in 2006 were valproate (18 %) and lamotrigine (17 %) in pediatric-onset epilepsy and phenytoin (21 %) and carbamazepine (17 %) in adult-onset epilepsy, but starting in the 2010s, levetiracetam and lamotrigine became the most commonly prescribed ASMs in both pediatric-onset (in 2021, levetiracetam 25 %, lamotrigine 16 %) and adult-onset (in 2021, levetiracetam 27 %, lamotrigine 20 %) epilepsy. The proportion of generic ASM use increased 3.6-fold: from 23 % of prescription days in 2006 to 83 % of prescription days in 2021. The median (p25-p75) average wholesale price (AWP) per person-year increased by 102 % from $2,684 ($990-$5,509) in 2006 to $5,417 ($2,858-$12,310) in 2021. The increases were greater in absolute terms for brand-name ASMs by 419 %: $3,109 ($1,564-$5,068 in 2006 and $16,149 ($12,950-$23,377) in 2021 than for generic ASMs by 462 %: $699 ($457-$1,678) in 2006 and $3,931 ($2,618-$6,081) in 2021. The costs directly borne by the patient (copay, coinsurance, deductibles, and pharmacy processing fees) increased by 69 % for brand-name ASMs from $393 ($246-$570) in 2006 to $665 ($335-$1,308) in 2021, but decreased by 37 % for generic ASMs from $147 ($98-$213) in 2006 to $92 ($51-$141) in 2021. CONCLUSIONS: The median cost of ASMs per person-year approximately doubled from 2006 to 2021. The increase in use of generic ASMs probably helped buffer the growing costs of ASMs. However, generic ASMs already represent 83 % of prescription days in 2021, with limited room to further contain costs by just increasing the proportion of generics.

Health care resource utilization and costs before and after epilepsy surgery.

OBJECTIVE: To describe the demographics of epilepsy surgery utilization and its impact on health care resource use. METHODS: Retrospective descriptive study using the MarketScan commercial claims database. We studied children and adults who underwent epilepsy surgery in the USA in the period 2006-2019. Our main outcome was health care resource utilization. RESULTS: Among the 87,368 patients with refractory epilepsy, 2,011 (2.3%) patients underwent resective epilepsy surgery, 188 (0.2%) patients underwent partial or total hemispherectomy, and 183 (0.2%) patients underwent corpus callosotomy. The proportion of patients undergoing epilepsy surgery has barely increased in the period 2006 to 2019. The year of resective epilepsy surgery was associated with high healthcare costs per person-year [median (p25-p75): $140,322 ($88,749-$225,862)], but healthcare costs per person-year substantially decreased in the 5 years after compared to the 5 years before the year of resective epilepsy surgery [$7,691 ($2,738-$22,092) versus $18,750 ($7,361-$47,082), p-value < 0.0001]. This result held in all resective epilepsy surgery subgroups: children, adults, temporal, extratemporal, subdural EEG monitoring, stereoEEG monitoring, and no intracranial monitoring. Similarly, the year of hemispherectomy was associated with high healthcare costs per person-year [$260,983 ($154,791-$453,986)], but healthcare costs per person-year substantially decreased in the 5 years after compared to the 5 years before the year of hemispherectomy [$26,834 ($12,842-$52,627) versus $54,596 ($19,547-$136,412), p-value < 0.0001]. In contrast, the year of corpus callosotomy was associated with high healthcare costs per person-year [$162,399 ($108,150-$253,156)], but healthcare costs per person-year did not substantially decrease in the 5 years after than in the 5 years before the year of corpus callosotomy [$25,464 ($10,764-$69,338) versus $36,221 ($12,841-$85,747), p-value = 0.2142]. CONCLUSION: In privately insured patients in the USA, resective epilepsy surgery and hemispherectomy substantially decrease healthcare utilization in subsequent years. Epilepsy surgery may help contain costs in the field of epilepsy.

Pediatric status epilepticus management by Emergency Medical Services (the pSERG cohort).

PURPOSE: Delayed treatment in status epilepticus (SE) is independently associated with increased treatment resistance, morbidity, and mortality. We describe the prehospital management pathway and Emergency Medical Services (EMS) timeliness in children who developed refractory convulsive status epilepticus (RCSE). METHODS: Retrospective multicenter study in the United States using prospectively collected observational data from June 2011 to March 2020. We selected pediatric patients (one month-21 years) with RCSE initiated outside the hospital and transported to the hospital by EMS. RESULTS: We included 91 patients with a median (percentile25-percentile75) age of 3.0 (1.5-7.3) years. The median time from seizure onset to hospital arrival was 45 (30-67) minutes, with a median time cared for by EMS of 24 (15-36) minutes. Considering treatment by caregivers and EMS before hospital arrival, 20 (22%) patients did not receive any anti-seizure medications (ASM) and 71 (78%) received one to five doses of benzodiazepines (BZD), without non-BZD ASM. We provided the prehospital treatment flow path of these patients through caregivers and EMS including relevant time points. Patients with a history of SE were more likely to receive the first BZD in the prehospital setting compared to patients without a history of SE (adjusted HR 3.25, 95% CI 1.72-6.12, p<0.001). CONCLUSION: In this multicenter study of pediatric RCSE, prehospital treatment may be streamlined further. Patients with a history of SE were more likely to receive prehospital rescue medication.

Early Clinical Variables Associated With Refractory Convulsive Status Epilepticus in Children.

BACKGROUND AND OBJECTIVES: The objective of this study was to determine patient-specific factors known proximate to the presentation to emergency care associated with the development of refractory convulsive status epilepticus (RSE) in children. METHODS: An observational case-control study was conducted comparing pediatric patients (1 month-21 years) with convulsive SE whose seizures stopped after benzodiazepine (BZD) and a single second-line antiseizure medication (ASM) (responsive established status epilepticus [rESE]) with patients requiring more than a BZD and a single second-line ASM to stop their seizures (RSE). These subpopulations were obtained from the pediatric Status Epilepticus Research Group study cohort. We explored clinical variables that could be acquired early after presentation to emergency medical services with univariate analysis of the raw data. Variables with p < 0.1 were retained for univariable and multivariable regression analyses. Multivariable logistic regression models were fit to age-matched and sex-matched data to obtain variables associated with RSE. RESULTS: We compared data from a total of 595 episodes of pediatric SE. Univariate analysis demonstrated no differences in time to the first BZD (RSE 16 minutes [IQR 5-45]; rESE 18 minutes [IQR 6-44], p = 0.068). Time to second-line ASM was shorter in patients with RSE (RSE 65 minutes; rESE 70 minutes; p = 0.021). Both univariable and multivariable regression analyses revealed a family history of seizures (OR 0.37; 95% CI 0.20-0.70, p = 0.0022) or a prescription for rectal diazepam (OR 0.21; 95% CI 0.078-0.53, p = 0.0012) was associated with decreased odds of RSE. DISCUSSION: Time to initial BZD or second-line ASM was not associated with progression to RSE in our cohort of patients with rESE. A family history of seizures and a prescription for rectal diazepam were associated with a decreased likelihood of progression to RSE. Early attainment of these variables may help care for pediatric rESE in a more patient-tailored manner. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that patient and clinical factors may predict RSE in children with convulsive seizures.

Descriptive epidemiology and health resource utilization for status epilepticus in the emergency department in the United States of America.

OBJECTIVE: To describe the epidemiology and health resource utilization for convulsive status epilepticus (SE) in the emergency department (ED). METHODS: Retrospective descriptive study in the Nationwide Emergency Department Sample (NEDS). Primary SE and secondary SE (SE in a case who visited the ED for other primary reason) were compared with non-SE seizures. Secondary SE is expected to have worse outcomes and higher costs because of another primary cause for ED visit. RESULTS: In the period 2010-2014, there were 149,750 ED visits with primary SE; 83,459 ED with secondary SE; and 5,359,103 ED visits with non-SE seizures. On multivariable analysis adjusting for potential confounders, the odds of hospital admission were 7 times higher for primary SE than for non-SE seizures, and 5 times higher for secondary SE than for non-SE seizures; the odds of transfer to another hospital were 9 times higher for primary SE than for non-SE seizures, and 3 times higher for secondary SE than for non-SE seizures; the odds of death were 2.5 times higher for primary SE than for non-SE seizures, and 12 times higher for secondary SE than for non-SE seizures; and the charges (in January 2020 USA dollars) were $9000 higher in primary SE than in non-SE seizures, and $35,000 higher in secondary SE than in non-SE seizures. CONCLUSION: Among all reasons for ED visits, SE, and in particular, secondary SE, are among the most resource-consuming conditions, being much more expensive than non-SE seizures in the ED.

Convolutional neural networks to identify malformations of cortical development: A feasibility study.

OBJECTIVE: To develop and test a deep learning model to automatically detect malformations of cortical development (MCD). METHODS: We trained a deep learning model to distinguish between diffuse cortical malformation (CM), periventricular nodular heterotopia (PVNH), and normal magnetic resonance imaging (MRI). We trained 4 different convolutional neural network (CNN) architectures. We used batch normalization, global average pooling, dropout layers, transfer learning, and data augmentation to minimize overfitting. RESULTS: There were 45 subjects (866 images) with a normal MRI, 52 subjects (790 images) with CM, and 32 subjects (750 images) with PVNH. There was no subject overlap between the training, validation, and test sets. The InceptionResNetV2 architecture performed best in the validation set in all models and was evaluated in the test set with the following results: 1) the model distinguishing between CM and normal MRI yielded an area under the curve (AUC) of 0.89 and accuracy of 0.81; 2) the model distinguishing between PVNH and normal MRI yielded an AUC of 0.90 and accuracy of 0.84; 3) the model distinguishing between the three classes (CM, PVNH, and normal MRI) yielded an AUC of 0.88 and accuracy of 0.74. Visualization with gradient-weighted class activation maps and saliency maps showed that the deep learning models classified images based on relevant areas within each image. SIGNIFICANCE: This study showed that CNNs can detect MCD at a clinically useful performance level with a fully automated workflow without image feature selection.

Time to Treatment in Pediatric Convulsive Refractory Status Epilepticus: The Weekend Effect.

BACKGROUND: Time to treatment in pediatric refractory status epilepticus is delayed. We aimed to evaluate the influence of weekends and holidays on time to treatment of this pediatric emergency. METHODS: We performed a retrospective analysis of prospectively collected observational data of pediatric patients with refractory status epilepticus. RESULTS: We included 329 patients (56% males) with a median (p25 to p75) age of 3.8 (1.3 to 9) years. The median (p25 to p75) time to first BZD on weekdays and weekends/holidays was 20 (6.8 to 48.3) minutes versus 11 (5 to 35) minutes, P = 0.01; adjusted hazard ratio (HR) = 1.20 (95% confidence interval [CI]: 0.95 to 1.55), P = 0.12. The time to first non-BZD ASM was longer on weekdays than on weekends/holidays (68 [42.8 to 153.5] minutes versus 59 [27 to 120] minutes, P = 0.006; adjusted HR = 1.38 [95% CI: 1.08 to 1.76], P = 0.009). However, this difference was mainly driven by status epilepticus with in-hospital onset: among 108 patients, the time to first non-BZD ASM was longer during weekdays than during weekends/holidays (55.5 [28.8 to 103.5] minutes versus 28 [15.8 to 66.3] minutes, P = 0.003; adjusted HR = 1.65 [95% CI: 1.08 to 2.51], P = 0.01). CONCLUSIONS: The time to first non-BZD ASM in pediatric refractory status epilepticus is shorter on weekends/holidays than on weekdays, mainly driven by in-hospital onset status epilepticus. Data on what might be causing this difference may help tailor policies to improve medication application timing.

Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex.

OBJECTIVE: To develop and test a deep learning algorithm to automatically detect cortical tubers in magnetic resonance imaging (MRI), to explore the utility of deep learning in rare disorders with limited data, and to generate an open-access deep learning standalone application. METHODS: T2 and FLAIR axial images with and without tubers were extracted from MRIs of patients with tuberous sclerosis complex (TSC) and controls, respectively. We trained three different convolutional neural network (CNN) architectures on a training dataset and selected the one with the lowest binary cross-entropy loss in the validation dataset, which was evaluated on the testing dataset. We visualized image regions most relevant for classification with gradient-weighted class activation maps (Grad-CAM) and saliency maps. RESULTS: 114 patients with TSC and 114 controls were divided into a training set, a validation set, and a testing set. The InceptionV3 CNN architecture performed best in the validation set and was evaluated in the testing set with the following results: sensitivity: 0.95, specificity: 0.95, positive predictive value: 0.94, negative predictive value: 0.95, F1-score: 0.95, accuracy: 0.95, and area under the curve: 0.99. Grad-CAM and saliency maps showed that tubers resided in regions most relevant for image classification within each image. A stand-alone trained deep learning App was able to classify images using local computers with various operating systems. CONCLUSION: This study shows that deep learning algorithms are able to detect tubers in selected MRI images, and deep learning can be prudently applied clinically to manually selected data in a rare neurological disorder.