Faculty Bibliography

Reports an error in "Cannabidiol in patients with treatment-resistant epilepsy: An open-label interventional trial" by Orrin Devinsky, Eric Marsh, Daniel Friedman, Elizabeth Thiele, Linda Laux, Joseph Sullivan, Ian Miller, Robert Flamini, Angus Wilfong, Francis Filloux, Matthew Wong, Nicole Tilton, Patricia Bruno, Judith Bluvstein, Julie Hedlund, Rebecca Kamens, Jane Maclean, Srishti Nangia, Nilika Shah Singhal, Carey A. Wilson, Anup Patel and Maria Roberta Cilio (The Lancet Neurology, 2016[Mar], Vol 15[3], 270-278). The appendix of this Article has been resupplied to include the correct number of patients at each study site in supplementary table 1. This correction has been made to the online version as of March 7, 2016. (The following abstract of the original article appeared in record 2016-09081-023). Background: Almost a third of patients with epilepsy have a treatment-resistant form, which is associated with severe morbidity and increased mortality. Cannabis-based treatments for epilepsy have generated much interest, but scientific data are scarce. We aimed to establish whether addition of cannabidiol to existing anti-epileptic regimens would be safe, tolerated, and efficacious in children and young adults with treatment-resistant epilepsy. Methods: In this open-label trial, patients (aged 1-30 years) with severe, intractable, childhood-onset, treatment-resistant epilepsy, who were receiving stable doses of antiepileptic drugs before study entry, were enrolled in an expanded-access programme at 11 epilepsy centres across the USA. Patients were given oral cannabidiol at 2-5 mg/kg per day, up-titrated until intolerance or to a maximum dose of 25 mg/kg or 50 mg/kg per day (dependent on study site). The primary objective was to establish the safety and tolerability of cannabidiol and the primary efficacy endpoint was median percentage change in the mean monthly frequency of motor seizures at 12 weeks. The efficacy analysis was by modified intention to treat. Comparisons of the percentage change in frequency of motor seizures were done with a Mann-Whitney U test. Results: Between Jan 15, 2014, and Jan 15, 2015, 214 patients were enrolled; 162 (76%) patients who had at least 12 weeks of follow-up after the first dose of cannabidiol were included in the safety and tolerability analysis, and 137 (64%) patients were included in the efficacy analysis. In the safety group, 33 (20%) patients had Dravet syndrome and 31 (19%) patients had Lennox-Gastaut syndrome. The remaining patients had intractable epilepsies of different causes and type. Adverse events were reported in 128 (79%) of the 162 patients within the safety group. Adverse events reported in more than 10% of patients were somnolence (n = 41 [25%]), decreased appetite (n = 31 [19%]), diarrhoea (n = 31 [19%]), fatigue (n = 21 [13%]), and convulsion (n = 18 [11%]). Five (3%) patients discontinued treatment because of an adverse event. Serious adverse events were reported in 48 (30%) patients, including one death-a sudden unexpected death in epilepsy regarded as unrelated to study drug. 20 (12%) patients had severe adverse events possibly related to cannabidiol use, the most common of which was status epilepticus (n = 9 [6%]). The median monthly frequency of motor seizures was 30.0 (IQR 11.0-96.0) at baseline and 15.8 (5.6-57.6) over the 12 week treatment period. The median reduction in monthly motor seizures was 36.5% (IQR 0-64.7). Interpretation: Our findings suggest that cannabidiol might reduce seizure frequency and might have an adequate safety profile in children and young adults with highly treatment-resistant epilepsy. Randomised controlled trials are warranted to characterise the safety profile and true efficacy of this compound.

OBJECTIVES: Seizures are often accompanied by ictal tachycardia, which, when pronounced, is one of the cardiac arrhythmias associated with sudden unexpected death in epilepsy (SUDEP). We examined the relationship between the lateralization and localization of seizure onset and development of ictal tachycardia. METHODS: We identified patients who underwent bi-hemispheric intracranial EEG recording over a period of 18months. Two to four consecutive seizures were reviewed for each patient. RESULTS: Fifty-seizures from 19 consecutive patients were analyzed. Forty seizures (80%) developed tachycardia (>20% increase from baseline), but laterality at seizure onset did not predict its occurrence (p=0.168). Bi-laterality at ictal onset was associated with early ictal tachycardia (<10s) (p=0.0208). Seizures out of sleep developed tachycardia faster (mean 19.7s vs. 68.2s, p=0.0067), but the state of alertness was not predictive of the development of tachycardia within 10s of seizure onset. Temporal and/or orbito-frontal lobe involvement was associated with tachycardia when compared to any other lobar combinations at ictal onset (p=0.0073). CONCLUSION: Laterality at seizure onset does not predict the occurrence of ictal tachycardia. Involvement of the temporal and orbito-frontal cortex, spread to the contralateral hemisphere and state of alertness, may define the degree and rate of autonomic changes. SIGNIFICANCE: Our results help clarify the autonomic control during seizures and offer potential use for future studies in SUDEP risk and automatic seizure detection.

The current study examined whether negative illness perceptions help explain the link between depression and quality of life. Seventy patients with epilepsy completed standardized self-report questionnaires measuring depression, illness perception, and quality of life (QOL). Illness perception statistically mediated the relationship between depression and QOL (Indirect effect (CI; confidence interval) = -.72, lower limit = -1.7, upper limit = -.22, p < .05). Results held with and without adjusting for potential confounding variables (age, sex, ethnicity, income, and seizure frequency) and when operationalizing depression as a continuous variable that indexed severity of symptoms or as a dichotomous variable that indexed criteria consistent with a diagnosis of major depressive disorder. This study is the first to suggest that illness perceptions may be a useful target in screening and intervention approaches in order to improve QOL among low-income, racially/ethnically diverse patients with epilepsy.

OBJECTIVE: Epilepsy surgery is the most effective treatment for select patients with drug-resistant epilepsy. In this article, we aim to provide an accurate understanding of the current epidemiologic characteristics of this intervention, as this knowledge is critical for guiding educational, academic, and resource priorities. METHODS: We profile the practice of epilepsy surgery between 1991 and 2011 in nine major epilepsy surgery centers in the United States, Germany, and Australia. Clinical, imaging, surgical, and histopathologic data were derived from the surgical databases at various centers. RESULTS: Although five of the centers performed their highest number of surgeries for mesial temporal sclerosis (MTS) in 1991, and three had their highest number of MTS surgeries in 2001, only one center achieved its peak number of MTS surgeries in 2011. The most productive year for MTS surgeries varied then by center; overall, the nine centers surveyed performed 48% (95% confidence interval [CI] -27.3% to -67.4%) fewer such surgeries in 2011 compared to either 1991 or 2001, whichever was higher. There was a parallel increase in the performance of surgery for nonlesional epilepsy. Further analysis of 5/9 centers showed a yearly increase of 0.6 +/- 0.07% in the performance of invasive electroencephalography (EEG) without subsequent resections. Overall, although MTS was the main surgical substrate in 1991 and 2001 (proportion of total surgeries in study centers ranging from 33.3% to 70.2%); it occupied only 33.6% of all resections in 2011 in the context of an overall stable total surgical volume. SIGNIFICANCE: These findings highlight the major aspects of the evolution of epilepsy surgery across the past two decades in a sample of well-established epilepsy surgery centers, and the critical current challenges of this treatment option in addressing complex epilepsy cases requiring detailed evaluations. Possible causes and implications of these findings are discussed.

OBJECTIVE: We considered whether a subset of children with sudden unexplained death in childhood (SUDC) and a history of febrile seizures (FS) may parallel those in sudden unexpected death in epilepsy (SUDEP). The prevalence of a history of FS was examined, and factors that may distinguish SUDC cases with and without FS were described. METHODS: Characteristics were assessed in 123 consecutive children with SUDC reported to the SUDC program (4/1/11-3/31/14) by their parents. Parental interview covered the decedent's medical history, circumstances of death, environmental factors, cause of death, and family medical history. Features of SUDC cases were compared by FS history. RESULTS: Overall, 31.7% of SUDC cases had a history of FS, among which 74.4% had simple FS. Compared to those without a history of FS, a history of FS was associated with a greater median age at death (p = 0.03) and death during the weekdays (p = 0.02). Terminal fever was similar in those with and without FS. The median time from FS to death was 6.0 months (interquartile range [IQR] 3.0-10.0). In all SUDC cases, prone position at death, death during sleep, and unwitnessed deaths predominated. SIGNIFICANCE: There are parallels among SUDC, sudden infant deaths, and sudden unexpected death in epilepsy (SUDEP) with regard to prone position, unwitnessed deaths mostly during sleep, and male predominance. In children with SUDC and a history of FS, terminal fever may increase the risk for an unwitnessed terminal seizure. The greater than expected prevalence of a FS history and the proportion with terminal fever or illness in this cohort suggests that some SUDC deaths may be seizure related and therefore have potential commonalities with SUDEP.

In catamenial epilepsy, seizures exhibit a cyclic pattern that parallels the menstrual cycle. Many studies suggest that catamenial seizures are caused by fluctuations in gonadal hormones during the menstrual cycle, but this has been difficult to study in rodent models of epilepsy because the ovarian cycle in rodents, called the estrous cycle, is disrupted by severe seizures. Thus, when epilepsy is severe, estrous cycles become irregular or stop. Therefore, we modified kainic acid (KA)- and pilocarpine-induced status epilepticus (SE) models of epilepsy so that seizures were rare for the first months after SE, and conducted video-EEG during this time. The results showed that interictal spikes (IIS) occurred intermittently. All rats with regular 4-day estrous cycles had IIS that waxed and waned with the estrous cycle. The association between the estrous cycle and IIS was strong: if the estrous cycles became irregular transiently, IIS frequency also became irregular, and when the estrous cycle resumed its 4-day pattern, IIS frequency did also. Furthermore, when rats were ovariectomized, or males were recorded, IIS frequency did not show a 4-day pattern. Systemic administration of an estrogen receptor antagonist stopped the estrous cycle transiently, accompanied by transient irregularity of the IIS pattern. Eventually all animals developed severe, frequent seizures and at that time both the estrous cycle and the IIS became irregular. We conclude that the estrous cycle entrains IIS in the modified KA and pilocarpine SE models of epilepsy. The data suggest that the ovarian cycle influences more aspects of epilepsy than seizure susceptibility.

The current study examined psychosocial correlates of medication adherence in a socioeconomically and racially diverse sample of patients with epilepsy. Fifty-five patients with epilepsy completed standardized self-report questionnaires measuring depression, stress, social support, and medication and illness beliefs. Antiepileptic drug (AED) adherence was measured using the 8-item Morisky Medication Adherence Scale 36% reported poor adherence. We tested which psychosocial factors were independently and most strongly associated with AED adherence. Stress and depression were negatively correlated with adherence, while perceived social support was positively correlated with adherence (Ps<.05). When all three of these variables and relevant covariates in a multiple regression model were included, only perceived social support remained a significant predictor of adherence (P=.015). This study is one of the first to suggest the importance of targeting social support in screening and intervention approaches in order to improve AED adherence among low-income, racially/ethnically diverse patients with epilepsy.