Reasons for ineligibility for clinical trials of patients with medication-resistant epilepsy.

Selection criteria for clinical trials for medication-resistant epilepsy are used to limit variability and to ensure safety. However, it has become more challenging to recruit subjects for trials. This study investigated the impact of each inclusion and exclusion criterion on medication-resistant epilepsy clinical trial recruitment at a large academic epilepsy center. We retrospectively identified all patients with medication-resistant focal or generalized onset epilepsy who attended an outpatient clinic over a consecutive 3-month period. We assessed each patient's eligibility for trials with commonly required inclusion and exclusion criteria to evaluate the proportion of eligible patients and the most common reasons for exclusion. Among 212 patients with medication-resistant epilepsy, 144 and 28 patients met the criteria for focal or generalized onset epilepsy, respectively. Overall, 9.4% (n = 20) patients were eligible for trials (19 focal onset and one generalized onset). Most patients were excluded from the study due to insufficient seizure frequency (58% of focal onset, 55% of generalized onset). A small proportion of patients with medication-resistant epilepsy were eligible for trials based on common selection criteria. These eligible patients may not be representative of the general population of patients with medication-resistant epilepsy. Insufficient seizure frequency was the most common reason for exclusion.

The rescue therapy in epilepsy project Part 2: Insights from people with epilepsy and families on expert-derived preferred practices.

BACKGROUND: The number and type of therapies available to treat seizure clusters (SCs) or periods of increased seizure activity have risen in recent years. Gaps still exist on defining SCs, when to use them, and educating patients and families. The Epilepsy Foundation developed and published expert-derived consensus on preferred practices for rescue therapies (RTs), 79% of which were agreed upon by a larger group of healthcare professionals (HCPs). This paper describes insights from people with epilepsy (PWE) and families/caregivers (FCGs) on these practices to assess similarities and trends between PWE, FCGs, an expert panel, and HCPs. METHODS: Online survey including expert-derived preferred practices for RT was completed by a convenience sample of 176 PWE/FCGs. Respondents rated agreement with each preferred practice using a 0-8 point Likert scale. Results were examined by relationship to epilepsy, prior use of RTs, and comparison to the expert panel and larger group of HCPs. RESULTS: 41.5% of respondents were PWE and 54.6% were FCGs; 70% represented PWE age 18 and over or those who cared for adults with epilepsy. Levels of agreement were similar to those of HCPs - consensus was obtained on 79% of preferred practices. Differences were noted on which items achieved consensus and strength of consensus for some items. Differences between PWE and FCG, and between those who had and had not previously used a RT were found. A proposed definition of SCs did not reach consensus, but there was strong consensus for individualized seizure action plans and more RT education.

Diagnostic Delay in Epilepsy: the Scope of the Problem.

PURPOSE OF REVIEW: Diagnostic delay is an increasingly recognized issue in epilepsy. At the same time, there is a clear disparity between public awareness of epilepsy and that of other public health issues. A contributing factor for this seems to be a lack of studies testing interventions designed to improve seizure recognition. In this review, we summarize the main findings from recent studies investigating diagnostic delay in epilepsy, highlighting causes, consequences, and potential interventions in future research that may improve quality of care in this population. RECENT FINDINGS: Building on prior evidence, diagnostic delay in patients with new-onset focal epilepsy has been identified as an important problem for patients with epilepsy. Such delay in diagnosis can lead to delayed treatment and potentially preventable morbidity and mortality including motor vehicle accidents. Nonmotor seizure semiology appears to be a major contributor for delay; such seizures are largely unrecognized when patients present to emergency departments for care. Improving recognition and diagnosis of recurrent nonmotor seizures in emergency departments represents a significant opportunity for improving time to diagnosis, particularly when patients present following a first lifetime motor seizure and meet diagnostic criteria for epilepsy. Diagnostic delay in epilepsy is a significant public health issue and recent studies have highlighted potential areas for intervention.

Preferred practices for rescue treatment of seizure clusters: A consensus-driven, multi-stakeholder approach.

BACKGROUND: Some of the most difficult issues in the care of people living with epilepsy (PWE) regard the definition, treatment, and communication of unexpected increase(s) in seizure frequency over a relatively short duration of time. In order to address this issue, the Epilepsy Foundation established the Rescue Therapy Project in Epilepsy to understand the gaps, needs, and barriers facing people with epilepsy who use or may benefit from rescue therapies (RTs) for "seizure clusters". The intent was to provide consensus-derived recommendations from a broad stakeholder group including PWE, their caregivers, epilepsy specialist physicians, nurses, pharmacists, and representatives of epilepsy & neurology advocacy and professional organizations. METHODS: During Phase 1, a group of epilepsy experts and stakeholders (N = 54) were divided into 3 workgroups that met by conference calls and in-person. Content of workgroups was developed into preferred practices related to RTs. In Phase 2, these recommendations were evaluated by a larger more diverse group of healthcare professionals, PWE, and caregivers. Agreement with recommended preferred practices at 80% or greater was set as the level to achieve consensus. RESULTS: The preferred practices were centered around four core themes identified by the experts and key stakeholders: the importance of a common language; when RTs should be prescribed; assessing the need for RTs; and education/communication about RTs. Consensus from experts and key stakeholders was reached for 27 recommended preferred practices using the Delphi method. "Rescue therapy" or "rescue medicine" was the preferred term to describe what to name a treatment intervention in this context, and seizure action plans was the preferred term to communicate how to respond to a seizure or SCs and the use of RTs. In Phase 2, 23 of the recommendations reached final consensus, including the need for a common language, and the need to consider RTs and seizure action plans in all PWE in an individualized manner, several circumstances in which RTs should be prescribed, and the importance of education regarding RTs and SAPs.

Changes in antiepileptic drug-prescribing patterns in pregnant women with epilepsy.

OBJECTIVE: We analyzed current prescribing patterns for antiepileptic drugs (AEDs) in pregnant women with epilepsy (PWWE) at 20 USA tertiary epilepsy centers. METHODS: The Maternal Outcomes and Neurodevelopmental Effects of Antiepileptic Drugs (MONEAD) study is an NIH-funded, prospective, observational, multicenter investigation of pregnancy outcomes for both mother and child, which enrolled women from December 2012 to January 2016. Inclusion criteria for PWWE included ages 14-45 years and up to 20 weeks gestational age. Exclusion criteria included history of psychogenic nonepileptic spells, expected intelligence quotient (IQ) <70, other major medical illness, progressive cerebral disease, and switching AEDs in pregnancy prior to enrollment. RESULTS: Three hundred fifty-one PWWE were enrolled in the MONEAD study, which included 259 (73.8%) on monotherapy, 77 (21.9%) on polytherapy, and 15 (4.3%) on no AEDs. The most common AED monotherapy regimens were lamotrigine (42.1% of monotherapies), levetiracetam (37.5%), carbamazepine (5.4%), zonisamide (5.0%), oxcarbazepine (4.6%), and topiramate (3.1%). All other individual monotherapies were each <1%. The most common AED polytherapy combination was lamotrigine + levetiracetam (42.9% of polytherapies), followed by lacosamide + levetiracetam (6.5%), lamotrigine + zonisamide (5.2%), and all other remaining combinations (each <4%); only 5.2% of polytherapy subjects were on ≥3 AEDs (1.1% of total PWWE). Only four subjects (1.1%) were on valproate (1 monotherapy, 3 polytherapy). CONCLUSIONS: The distribution of AED use likely reflects current prescribing patterns for PWWE cared for in USA tertiary epilepsy centers. This distribution has changed markedly since the turn of the century, but changes in the general population remain uncertain.

Influences of temporal lobe epilepsy and temporal lobe resection on olfaction.

Although temporal lobe epilepsy (TLE) and resection (TLR) impact olfactory eloquent brain structures, their influences on olfaction remain enigmatic. We sought to more definitively assess the influences of TLE and TLR on olfaction using three well-validated olfactory tests and measuring  the tests' associations with the volume of numerous temporal lobe brain structures. The University of Pennsylvania Smell Identification Test and an odor detection threshold test were administered to 71 TLE patients and 71 age- and sex-matched controls; 69 TLE patients and controls received an odor discrimination/memory test. Fifty-seven patients and 57 controls were tested on odor identification and threshold before and after TLR; 27 patients and 27 controls were similarly tested for odor detection/discrimination. Scores were compared using analysis of variance and correlated with pre- and post-operative volumes of the target brain structures. TLE was associated with bilateral deficits in all test measures. TLR further decreased function on the side ipsilateral to resection. The hippocampus and other structures were smaller on the focus side of the TLE subjects. Although post-operative volumetric decreases were evident in most measured brain structures, modest contralateral volumetric increases were observed in some cases. No meaningful correlations were evident pre- or post-operatively between the olfactory test scores and the structural volumes. In conclusion, we demonstrate that smell dysfunction is clearly a key element of both TLE and TLR, impacting odor identification, detection, and discrimination/memory. Whether our novel finding of significant post-operative increases in the volume of brain structures contralateral to the resection side reflects plasticity and compensatory processes requires further study.

Seizure Forecasting from Idea to Reality. Outcomes of the My Seizure Gauge Epilepsy Innovation Institute Workshop.

The Epilepsy Innovation Institute (Ei2) is a new research program of the Epilepsy Foundation designed to be an innovation incubator for epilepsy. Ei2 research areas are selected based on community surveys that ask people impacted by epilepsy what they would like researchers to focus on. In their 2016 survey, unpredictability was selected as a top issue regardless of seizure frequency or severity. In response to this need, Ei2 launched the My Seizure Gauge challenge, with the end goal of creating a personalized seizure advisory system device. Prior to moving forward, Ei2 convened a diverse group of stakeholders from people impacted by epilepsy and clinicians, to device developers and data scientists, to basic science researchers and regulators, for a state of the science assessment on seizure forecasting. From the discussions, it was clear that we are at an exciting crossroads. With the advances in bioengineering, we can utilize digital markers, wearables, and biosensors as parameters for a seizure-forecasting algorithm. There are also over a thousand individuals who have been implanted with ambulatory intracranial EEG recording devices. Pairing up peripheral measurements to brain states could identify new relationships and insights. Another key component is the heterogeneity of the relationships indicating that pooling findings across groups is suboptimal, and that data collection will need to be done on longer time scales to allow for individualization of potential seizure-forecasting algorithms.