Sheryl R. Haut

Chronic disorders with episodic manifestations: focus on epilepsy and migraine

Epilepsy and migraine are chronic neurological disorders with episodic manifestations that are commonly treated in neurological practice and frequently occur together. In this review we examine similarities and contrasts between these disorders, with focus on epidemiology and classification, temporal coincidence, triggers, and mechanistically based therapeutic overlap. This investigation draws attention to unique aspects of both epilepsy and migraine, while identifying areas of crossover in which each specialty could benefit from the experience of the other.

Susceptibility of immature and adult brains to seizure effects

The extent that status epilepticus (SE), but also brief seizures, affects neuronal structure and function has been the subject of much clinical and experimental research. There is a reliance on findings from animal research because there have been few prospective clinical studies. This review suggests that the features of seizure-induced injury in the immature brain compared with the adult brain are different and that duration of seizures (SE versus brief), number of seizures, cause of seizures, presence of pre-existing abnormalities, and genetics affect the injury. Increased awareness of age-specific injuries from seizure has promoted research to determine the circumstances under which seizures may produce permanent detrimental effects. Together with recent advances in functional neuroimaging, genomic investigation, and prospective human data, these studies are likely to substantially increase our knowledge of seizure-induced injury, leading to the development of improved algorithms for prevention and treatment of epilepsy.

Seizure occurrence Precipitants and prediction

Objective: To explore the relationship of seizure occurrence with candidate seizure precipitants in a prospective diary study, and to determine the relationship of precipitants to seizure self-prediction. Methods: Eligible subjects were 18 or older, had localization-related epilepsy, at least one seizure within 12 months, and were able to maintain a daily diary. Information collected included the occurrence, time and characteristics of all seizures, hours of sleep, medication compliance, stress, anxiety, alcohol use, menstruation, and seizure self-prediction. Each night, subjects reported their estimate of the likelihood of a seizure the next day (self-prediction). Logit-normal models with a random subject-specific intercept were used to estimate an OR for the association of precipitants with seizure occurrence. Results: Seventy-one subjects returned 15,179 complete diary days. For each hour of increased sleep on the preceding night, the relative odds of a seizure the following day decreased (OR 0.91, 95% CI 0.82, 0.99). One-unit increments of stress and anxiety (on a 10-point scale) were associated with an increased risk of seizure the following day (OR 1.06, 95% CI 1.01, 1.12 and OR 1.07; 95% CI 1.02, 1.12). With self-prediction included in the model, self-prediction (OR 3.7; 95% CI 1.8, 7.2) and hours of sleep for the night prior to the seizure (OR 0.90; 95% CI 0.82, 0.99) remained significant. Conclusion: Lack of sleep and higher self-reported stress and anxiety levels were associated with seizure occurrence. In a model that included self-prediction, less sleep, and self-prediction had significant effects, whereas stress and anxiety did not. The psychological and biologic mechanisms which link stress and anxiety to self-prediction of seizures requires further exploration. Ultimately, seizure prediction based on precipitants, premonitory features, and self-prediction may provide a foundation for preemptive treatment. GLOSSARY: CDEM = chronic disorders with episodic manifestations; MMC = Montefiore Medical Center.

Health-related quality of life over time since resective epilepsy surgery.

Health‐related quality of life (HRQOL) improves after resective epilepsy surgery, but data are limited to short follow‐up in mostly retrospective reports, with minimal consideration of other potential factors that might influence HRQOL.

Seizure clustering during epilepsy monitoring

Summary:  Purpose: To identify risk factors associated with seizure clustering during epilepsy monitoring and to assess the effect of clustering on localization of the epileptogenic zone.

Stress and epilepsy: a patient perception survey.

A questionnaire was administered to patients in the Montefiore Medical Center outpatient epilepsy department to assess perceptions about stress, seizures, and stress reduction. Eighty-nine patients completed the questionnaire. Overall, 64% of patients reported the belief that stress increased the frequency of their seizures. This belief was not significantly associated with gender, age, location of care, epilepsy classification, or seizure control, but was significantly associated with a shorter duration of epilepsy (P=0.04). Thirty-two percent of subjects had tried stress reduction modalities for epilepsy. Of those who had not, 53% were willing to try, and this willingness was significantly associated with a greater number of seizures in the prior 2 months (P=0.006) and the belief that stress was associated with seizures (P=0.04). Both major and minor stressors were reported with equal frequency. The majority of our study population believe that stress and seizures are related, and are willing to try stress reduction techniques for seizure control. We believe that these findings indicate a need for a prospective study to evaluate the role of stress and stress reduction as an additional potential therapeutic modality for epilepsy.

Seizure Clustering: Risks and Outcomes

Summary:  Purpose: Patients with epilepsy often experience seizures in clusters. In this preliminary study, we examined the prevalence of self‐reported clustering and identified potential risk factors and outcomes associated with reported clustering for further analysis in an ongoing prospective diary study.

Medical comorbidities in the treatment of epilepsy

The treatment of epilepsy extends far beyond seizure control. Many comorbidities have a significant impact on the medical management and quality of life of patients with epilepsy. In this review, we examine interactions between epilepsy and some common medical conditions. Psychiatric disorders with a high prevalence in epilepsy include mood disorders, anxiety disorders, and psychosis. Depression is common, psychosis occurs both in direct relation to seizures and interictally, and suicide rates are increased. Changes in sexual function and reduced fertility and marriage rates are described, including a discussion of polycystic ovary syndrome, which is increased in women with epilepsy. The effects of other chronic medical comorbid conditions are reviewed, including the effects of antiepileptic medications on bone health and the impact of renal insufficiency on pharmacological therapy of epilepsy.

Instruction manual for the ILAE 2017 operational classification of seizure types

This companion paper to the introduction of the International League Against Epilepsy (ILAE) 2017 classification of seizure types provides guidance on how to employ the classification. Illustration of the classification is enacted by tables, a glossary of relevant terms, mapping of old to new terms, suggested abbreviations, and examples. Basic and extended versions of the classification are available, depending on the desired degree of detail. Key signs and symptoms of seizures (semiology) are used as a basis for categories of seizures that are focal or generalized from onset or with unknown onset. Any focal seizure can further be optionally characterized by whether awareness is retained or impaired. Impaired awareness during any segment of the seizure renders it a focal impaired awareness seizure. Focal seizures are further optionally characterized by motor onset signs and symptoms: atonic, automatisms, clonic, epileptic spasms, or hyperkinetic, myoclonic, or tonic activity. Nonmotor‐onset seizures can manifest as autonomic, behavior arrest, cognitive, emotional, or sensory dysfunction. The earliest prominent manifestation defines the seizure type, which might then progress to other signs and symptoms. Focal seizures can become bilateral tonic–clonic. Generalized seizures engage bilateral networks from onset. Generalized motor seizure characteristics comprise atonic, clonic, epileptic spasms, myoclonic, myoclonic–atonic, myoclonic–tonic–clonic, tonic, or tonic–clonic. Nonmotor (absence) seizures are typical or atypical, or seizures that present prominent myoclonic activity or eyelid myoclonia. Seizures of unknown onset may have features that can still be classified as motor, nonmotor, tonic–clonic, epileptic spasms, or behavior arrest. This “users’ manual” for the ILAE 2017 seizure classification will assist the adoption of the new system.

The Association Between Seizure Clustering and Convulsive Status Epilepticus in Patients with Intractable Complex Partial Seizures

Summary: Purpose: We examined the association between seizure clustering and convulsive status epilepticus (SE) in patients with intractable complex partial seizures, to identify whether patients whose seizures typically cluster are at high risk for convulsive SE (CSE).