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Sleep and epilepsy have bidirectional relationships, and various endocrine interactions. Besides the commonly observed increase in seizure frequency in association with sleep loss or with sleep disorders, such as sleep apnea, seizures themselves may lead to sleep fragmentation. Furthermore, nocturnal seizures may be associated with more severe and longer lasting respiratory consequences, as well as higher risk of sudden death. It is common for sleep to change during pregnancy in relation to endocrine changes and these changes may in turn affect seizure frequency. Overall, estrogens may have excitatory effects and may increase the consolidation of wakefulness and decrease REM sleep duration. Progesterone tends to have a sedative effect and the decrease in level may lead to more complaints of insomnia pre-menstrual and after menopause. Common sleep disorders are discussed. Obstructive sleep apnea becomes much more common after menopause, and sometimes may be seen in the third trimester of pregnancy as a result of weight gain. Restless legs syndrome is more common in pregnancy. Overall, insomnia is more common in women. Consideration should be given to comorbid primary sleep disorders whenever symptoms of insomnia or hypersomnolence are reported by patients with epilepsy.
Epilepsy is a common condition in the population of people with intellectual disability and for many proves intractable. Over the last 20 years a host of new antiseizure medications (antiepileptics) have been introduced to the market, and the evidence base to support their use in people with intellectual disability is reviewed. This will aim to cover new treatment approaches such as cannabinoid preparations succinctly.
People with intellectual disability (PwID) and epilepsy have increased premature and potentially preventable mortality. This is related to a lack of equitable access to appropriate care. The Step Together guidance and toolkit, developed with patient, clinical, charity and commissioning stakeholders, allows evaluation and benchmarking of essential epilepsy service provision for PwID in eight key domains, at a care system level.
Aims
To evaluate care provisions for adult PwID and epilepsy at a system level in the 11 integrated care systems (ICSs) of the Midlands, the largest NHS England region (population: approximately 11 million), using the Step Together toolkit
Method
Post training, each ICS undertook its benchmarking with the toolkit and submitted their scores to Epilepsy Action, a national UK epilepsy charity, who oversaw the process. The outcomes were analysed descriptively to provide results, individual and cumulative, at care domain and system levels.
Results
The toolkit was completed fully by nine of the 11 ICSs. Across all eight domains, overall score was 44.2% (mean 44.2%, median 43.3%, range 52.4%, interquartile range 23.8–76.2%). The domains of local planning (mean 31.1%, median 27.5%) and care planning (mean 31.4%, median 35.4%) scored the lowest, and sharing information scored the highest (mean 55.2%, median 62.5%). There was significant variability across each domain between the nine ICS. The user/carer participation domain had the widest variation across ICSs (0–100%).
Conclusions
The results demonstrate a significant variance in service provision for PwID and epilepsy across the nine ICSs. The toolkit identifies specific areas for improvement within each ICS and region.
In this study, we examined the yield of routine cerebrospinal fluid (CSF) analysis to assess for an autoimmune etiology in patients with chronic seizures of unknown cause. Forty-seven patients were included. Six of 47 (13%) had inflammation on routine CSF analysis, none of whom were diagnosed with seizures related to autoimmune encephalitis (AE). Meanwhile, 2/47 (4%) were diagnosed with seizures related to AE, neither of whom had inflammation on routine CSF analysis. Routine CSF analysis to assess for an autoimmune etiology in patients with chronic seizures of unknown cause is low yield, and has suboptimal specificity and sensitivity for seizures related to AE.
A quarter of People with Intellectual Disabilities (PwID) have epilepsy compared with 1% of the general population. Epilepsy in PwID is a bellwether for premature mortality, multimorbidity and polypharmacy. This group depends on their care provider to give relevant information for management, especially epilepsy. There is no research on care status relationship and clinical characteristics of PwID and epilepsy.
Aim
Explore and compare the clinical characteristics of PwID with epilepsy across different care settings.
Method
A retrospective multicentre cohort study across England and Wales collected information on seizure characteristics, intellectual disability severity, neurodevelopmental/biological/psychiatric comorbidities, medication including psychotropics/anti-seizure medication, and care status. Clinical characteristics were compared across different care settings, and those aged over and younger than 40 years.
Results
Of 618 adult PwID across six centres (male:female = 61%:39%), 338 (55%) received professional care whereas 258 (42%) lived with family. Significant differences between the care groups existed in intellectual disability severity (P = 0.01), autism presence (P < 0.001), challenging behaviour (P < 0.001) and comorbid physical conditions (P = 0.008). The two groups did not vary in intellectual disability severity/genetic conditions/seizure type and frequency/psychiatric disorders. The professional care cohort experienced increased polypharmacy (P < 0.001) and antipsychotic/psychotropic use (P < 0.001/P = 0.008).
The over-40s cohort had lower autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD) comorbidity (P < 0.001/P = 0.007), increased psychiatric comorbidity and challenging behaviour (P < 0.05), physical multimorbidity (P < 0.001), polypharmacy (P < 0.001) and antipsychotic use (P < 0.001) but reduced numbers of seizures (P = 0.007).
Conclusion
PwID and epilepsy over 40 years in professional care have more complex clinical characteristics, increased polypharmacy and antipsychotic prescribing but fewer seizures.
Edited by
David Kingdon, University of Southampton,Paul Rowlands, Derbyshire Healthcare NHS foundation Trust,George Stein, Emeritus of the Princess Royal University Hospital
This chapter gives an overview and update on functional neurological disorder (FND), also known as dissociative neurological symptom disorder and previously known as conversion disorder. FND is the presence of neurological symptoms that are not explained or explainable by a neurological disorder. FND has been assumed to be a purely stress-related psychiatric disorder, but over the recent decades, this simplistic conception has been supplanted by more nuanced models of symptom generation. FND is no longer a diagnosis of exclusion. Instead, wherever possible, it is ruled-in by distinct features of history and examination, the latter known as positive clinical signs. There have been concurrent advances in the biological understanding of FND, exemplified by functional neuroimaging studies that have indicated that FND can be distinguished from, for example, feigned symptoms mimicking the disorder. FND encompasses multiple subtypes, from seizures to motor disorders to sensory abnormalities. Symptoms often co-occur, sometimes in a striking fashion.
Current treatment options for FND are limited, and many patients have severe long-term symptoms despite best-available treatment including psychological therapies and medication. Nevertheless, there are simple, and sometimes effective, steps that clinicians can take to manage and treat patients.
Seizures are a presenting feature of many neurosurgical disorders, and can arise as a result of neurosurgical treatment or its complications. Recognition and effective management of seizures can be life-saving, and will minimise long term seizure induced morbidity. In this Element the authors describe seizure diagnosis, emergency and ongoing management, and considerations in neurosurgical conditions.
This chapter uses a case-based approach to describe a few common seizure mimics that may be mistaken for epileptic seizures in critically ill patients. These include tremors, myoclonus, syncope, and functional seizures (psychogenic non-epileptic seizures). Tremors appear as rhythmic or periodic activity but may be differentiated from seizures by the lack of a definite field and stereotyped pattern without evolution. Myoclonus refers to body or limb jerking movements that may be confused with seizures. Myoclonus may be of cortical or subcortical origin. Cortical myoclonus is associated with time-locked epileptic discharges, whereas subcortical myoclonus lacks an epileptic correlate though myogenic artifact may be seen. Convulsive syncope and non-epileptic psychogenic seizures are also described along with their electrographic patterns.
This chapter describes recognizing seizures, brief potentially ictal rhythmic discharges (BIRDs), and sporadic epileptiform discharges using a case-based approach. Electrographic seizures are patterns 10 seconds or longer of epileptic activity occurring at >2.5 Hz or other evolving patterns. If these patterns are associated with a clinical correlate, they are called electroclinical seizures, even if they are less than 10 seconds in duration. A high seizure burden may be associated with neurological decline. Patterns of rhythmic activity too short to qualify as seizures are termed BIRDs. Sporadic epileptiform discharges such as spikes or sharp waves are associated with increased seizure risk and epilepsy. Epilepsy itself is a clinical diagnosis of recurrent and unprovoked seizures.
Easy to read and well-illustrated, this unique guidebook is written for acute care providers of all backgrounds and skill levels, who may be unfamiliar with basic EEG concepts and dependent on reading EEG reports or remote interpretations. This guide introduces the basics of critical care EEG with an emphasis on the skill of real-time bedside EEG reading (pattern recognition). It is presented in two parts using case-based approaches and is full of clinical tips. Readers will become familiar with common critical care EEG patterns, their significance, and management with relevant reasoning. They will also learn how to make basic bedside EEG interpretations to supplement their clinical neurological exam and better collaborate with EEG readers. A dedicated chapter on quantitative EEG explains this important modality. In short, this book enables the use of critical care EEG as a powerful extension to the clinical assessment of critically ill patients.
The fog of Alzheimer’s is a commonly used metaphor, and I think it’s a pretty good one. It refers to the loss of mental acuity, disorientation, and forgetfulness that are common in Alzheimer’s. But one aspect of the metaphor that is not emphasized is that like the fog bank on the ocean, the fog of Alzheimer’s can come and go. It does for me. Sometimes there is an obvious cause such as running a fever, getting too tired, or having a second glass of wine. On the day after I got my second Covid-19 vaccination I was not mentally sharp and had trouble concentrating despite not having any other side effects. Once or twice a week on first awakening in the morning, I think I am in my childhood bedroom. It only takes a few seconds to get reoriented, and it actually is a pleasant rather than scary experience. Sometimes the fog comes in for no apparent reason, lasts a few minutes or a few hours, and then goes away. I wonder what is behind these mysterious, seemingly unprovoked but temporary episodes of cognitive impairment.
Two species of pangolins occur in Nepal: the Chinese pangolin Manis pentadactyla and the Indian pangolin Manis crassicaudata. They are categorized as Critically Endangered and Endangered, respectively, on the IUCN Red List, and are protected under the National Parks and Wildlife Conservation Act 1973 in Nepal. Although both this national law and CITES prohibit pangolin hunting and trade, such trade still occurs. To better understand the patterns of pangolin hunting and trade in Nepal, we analysed data on pangolin seizures gathered from official records, grey literature and verified public media reports dating from 1 January 2010 to 31 December 2020. A total of 122 pangolin seizures were reported in 27 districts, mostly in the central mid-hills. Seizure cases included 23 live pangolins, 18 whole-body skins with scales and 1,046.7 kg of scales. We estimate a minimum of 1,500 individuals were hunted locally over the 11-year study period. Analysis of the trade network identified the capital city, Kathmandu, as the main pangolin trade hub, with scales being the most commonly seized item. The illegal trade occurred mostly in two regions: central and eastern Nepal, and areas bordering China. The pangolins were hunted mainly from core habitats within rural areas, then transported to the city for trade. These data support the future development of effective law enforcement and policy interventions for this region, to stop the illegal pangolin trade. Greater understanding of the patterns of the local pangolin trade and the identification of hotspot areas and peak hunting seasons will allow us to prioritize areas for future conservation interventions.
To evoke a therapeutically effective seizure, electrical stimulation in electroconvulsive therapy (ECT) has to overcome the combined resistivity of scalp, skull and other tissues. Static impedances are measured prior to stimulation using high-frequency electrical alternating pulses, dynamic impedances during passage of the stimulation current. Static impedance can partially be influenced by skin preparation techniques. Earlier studies showed a correlation between dynamic and static impedance in bitemporal and right unilateral ECT.
Objective:
This study aims at assessing the correlation of dynamic and static impedance with patient characteristics and seizure quality criteria in bifrontal ECT
Methods:
We performed a cross-sectional single-centre retrospective analysis of ECT treatments at the Psychiatric University Hospital Zurich between May 2012 and March 2020 and used linear mixed-effects regression models in 78 patients with a total of 1757 ECT sessions.
Results:
Dynamic and static impedance were strongly correlated. Dynamic impedance was significantly correlated with age and higher in women. Energy set and factors positively (caffeine) and negatively (propofol) affecting seizure at the neuronal level were not associated with dynamic impedance. For secondary outcomes, dynamic impedance was significantly related to Maximum Sustained Power and Average Seizure Energy Index. Other seizure quality criteria showed no significant correlation with dynamic impedance.
Conclusion:
Aiming for low static impedance might reduce dynamic impedance, which is correlated with positive seizure quality parameters. Therefore, good skin preparation to achieve low static impedance is recommended.
Neurological involvement associated with SARS-CoV-2 infection is increasingly recognized. However, the specific characteristics and prevalence in pediatric patients remain unclear. The objective of this study was to describe the neurological involvement in a multinational cohort of hospitalized pediatric patients with SARS-CoV-2.
Methods:
This was a multicenter observational study of children <18 years of age with confirmed SARS-CoV-2 infection or multisystemic inflammatory syndrome (MIS-C) and laboratory evidence of SARS-CoV-2 infection in children, admitted to 15 tertiary hospitals/healthcare centers in Canada, Costa Rica, and Iran February 2020–May 2021. Descriptive statistical analyses were performed and logistic regression was used to identify factors associated with neurological involvement.
Results:
One-hundred forty-seven (21%) of 697 hospitalized children with SARS-CoV-2 infection had neurological signs/symptoms. Headache (n = 103), encephalopathy (n = 28), and seizures (n = 30) were the most reported. Neurological signs/symptoms were significantly associated with ICU admission (OR: 1.71, 95% CI: 1.15–2.55; p = 0.008), satisfaction of MIS-C criteria (OR: 3.71, 95% CI: 2.46–5.59; p < 0.001), fever during hospitalization (OR: 2.15, 95% CI: 1.46–3.15; p < 0.001), and gastrointestinal involvement (OR: 2.31, 95% CI: 1.58–3.40; p < 0.001). Non-headache neurological manifestations were significantly associated with ICU admission (OR: 1.92, 95% CI: 1.08–3.42; p = 0.026), underlying neurological disorders (OR: 2.98, 95% CI: 1.49–5.97, p = 0.002), and a history of fever prior to hospital admission (OR: 2.76, 95% CI: 1.58–4.82; p < 0.001).
Discussion:
In this study, approximately 21% of hospitalized children with SARS-CoV-2 infection had neurological signs/symptoms. Future studies should focus on pathogenesis and long-term outcomes in these children.
Epilepsy is a common neurological condition. It affects around 1% of the global population. This study aims to evaluate the knowledge and attitudes toward epilepsy.
Methods:
This is a cross-sectional observational study. An online questionnaire was distributed to medical students in their clinical and preclinical years and interns at Riyadh’s four public universities. Then a comparison was made to see whether attending more courses in medical school would influence the students’ knowledge and attitudes.
Results:
In the present study, 95% of medical students had heard about epilepsy or convulsive seizures (a significantly larger proportion of clinical students had heard about epilepsy than preclinical students (99.0% versus 92%, P-value = 0.000)). Furthermore, 34.0% believed that epilepsy could be treated. Moreover, 79.1% of those polled claimed that brain disease originated from epilepsy, followed by genetic factors (64.1%) and convulsions (92.3%) as the most common symptoms.
Conclusion:
Regarding medical students’ awareness of epilepsy, it turns out that it is good and better than reported in other research, especially among clinical students rather than preclinical students, who have a negative attitude toward epileptic patients. Consequently, there is a need to further development of their knowledge throughout future campaigns and conferences, and curricula that should be tailored to help improve awareness and attitudes toward epilepsy.
Continuous EEG (cEEG) monitoring offers bedside, noninvasive, diffuse, and continuous information about brain function. These characteristics allow clinicians to assess brain function, evaluate for changes in brain function over time, and identify electrographic seizures that are often not clinically observable. These advantages have led to widespread and increasing use of cEEG in critically ill patients across the age spectrum. This chapter introduces cEEG in critically ill neonates and children including seizure epidemiology (incidence and risk factors), the relationship between electrographic seizures and outcome, available consensus statements and guidelines, and role of quantitative EEG.