Usefulness of video-EEG monitoring in children

Single-channel seizure detection with clinical confirmation of seizure locations using CHB-MIT dataset

Introduction

Long-term electroencephalography (EEG) monitoring is advised to patients with refractory epilepsy who have a failure of anti-seizure medication and therapy. However, its real-life application is limited mainly due to the use of multiple EEG channels. We proposed a patient-specific deep learning-based single-channel seizure detection approach using the long-term scalp EEG recordings of the Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) dataset, in conjunction with neurologists' confirmation of spatial seizure characteristics of individual patients.

Methods

We constructed 18-, 4-, and single-channel seizure detectors for 13 patients. Neurologists selected a specific channel among four channels, two close to the behind-the-ear and two at the forehead for each patient, after reviewing the patient's distinctive seizure locations with seizure re-annotation.

Results

Our multi- and single-channel detectors achieved an average sensitivity of 97.05-100%, false alarm rate of 0.22-0.40/h, and latency of 2.1-3.4 s for identification of seizures in continuous EEG recordings. The results demonstrated that seizure detection performance of our single-channel approach was comparable to that of our multi-channel ones.

Discussion

We suggest that our single-channel approach in conjunction with clinical designation of the most prominent seizure locations has a high potential for wearable seizure detection on long-term EEG recordings for patients with refractory epilepsy.

Staring Spells: An Age-based Approach Toward Differential Diagnosis

Evaluations to rule out epileptic vs nonepileptic staring spells may entail unnecessary evaluations that can be costly and time consuming. Our study aims to identify common etiologies for staring spells across 3 different pediatric age groups and to propose an age-based clinical guidance to help determine which patients warrant further workup. Methods: This was a single-center retrospective chart analysis of 1496 patients aged 0.0-17.9 years presenting with confirmed staring spell diagnosis from January 2011 to January 2021. The patients were divided into 3 groups based on their age: 0.0-2.9, 3.0-12.9, and 13.0-17.9 years. Patient information collected included demographics, clinical presentation, comorbidities, and final diagnosis. Multilevel likelihood ratios and a receiver operating characteristic curve were determined using 8 of the 11 clinical variables. A total of 1142 patients who met the inclusion criteria were included for the final analysis. The most common final diagnosis was attention-deficit hyperactivity disorder (ADHD) (35%), followed by normal behavior (33%). Generalized and focal epilepsy were diagnosed in 8% and 4% of the patients, respectively. In the 0.0-2.9-year age group, normal behavior was the final diagnosis in 72% patients. In the 3.0-12.9-year and 13.0-17.9-year age groups, ADHD was the most frequent final diagnosis in 46% and 60%, respectively. Overall, ADHD and normal behaviors remain the most common final diagnoses. Multilevel likelihood ratios can be used to develop an age-based guidance to differentiate between epileptic and nonepileptic staring spell diagnoses.

Video Ambulatory EEG in Children: A Quality Improvement Study

PURPOSE

We implemented a video ambulatory EEG (VA-EEG) Program as an alternative to inpatient video EEG monitoring for some patients given potential benefits related to quicker access, greater convenience, and lower cost. To evaluate the newly initiated program, we performed a quality improvement study to assess whether VA-EEG yielded studies with interpretable EEG and video quality that generated clinically beneficial data.

METHODS

This was a single-center prospective quality improvement study. We surveyed ordering clinicians, electroencephalographers, and caregivers regarding consecutive children who underwent clinically indicated VA-EEG. The primary outcome was the percentage of VA-EEG studies in which the ordering clinician reported that the study had answered the question of interest.

RESULTS

We evaluated 74 consecutive children selected to undergo clinically indicated VA-EEG by their clinicians and caregivers. Ordering clinicians reported that 77% of studies answered the question of interest. Electroencephalographers reported that the quality of the EEG and video was excellent or adequate in 100% and 92% of patients, respectively. Additionally, 84% of caregivers reported preferring VA-EEG if EEG data were needed in the future.

CONCLUSIONS

Video ambulatory EEG may be an effective diagnostic modality among children selected by clinicians and caregivers to undergo long-term EEG monitoring. Given it is effective as well as convenient, accessible, and lower cost than inpatient EEG monitoring, all of which align with our institution's quality goals, we intend to expand our VA-EEG Program.

Role of Video-EEG in Children

Routine electroencephalogram (EEG) has many limitations, especially the inability to capture reported habitual events in question. A prolonged EEG with synchronized video (video-EEG) overcomes some of these limitations by improving the sensitivity, specificity and the diagnostic yield by attempting to record the habitual events when they are frequent and when indicated. Video-EEG is employed commonly for the diagnosis and classification of epilepsy/epilepsy syndromes, to distinguish between seizures and seizures mimickers, for pre-surgical evaluation and in the management of critically ill children. The duration of recording would vary depending on the indication and frequency of events. Ambulatory EEG is another cost effective and convenient alternative in certain circumstances. However, availability of the machines and expertise, accessibility, affordability and labor intensive nature of the procedure limit widespread use in India. This review explores the role of video-EEG in the management of children with epileptic and non-epileptic paroxysmal events with respect to routine clinical practice in India.

Benefits, safety and outcomes of long-term video EEG monitoring in pediatric patients

OBJECTIVE

To investigate benefits of in-hospital, long-term video EEG monitoring (LVEM) for pediatric patients, from a therapeutic perspective and from the perspectives of patients and their families.

METHODS

A monocentric retrospective cohort study was conducted. Patients aged 0-18 years who underwent LVEM for epilepsy surgery eligibility, epilepsy syndrome clarification, or medication adjustment were evaluated regarding paroxysmal event type, change in seizure frequency and patients' benefits using a standardized evaluation protocol.

RESULTS

A total of 163 (88 boys and 75 girls, mean age 10.9 years) pediatric patients underwent 178 LVEM sessions, with a mean duration of 5.4 days. The rate of habitual event detection was 69.1%. Epilepsy diagnosis was confirmed in 147 patients and excluded in 16 patients (9.8%). LVEM results altered the diagnosis of 37.4% of patients. Diagnosis remained unchanged in 49.1% of patients and was specified in 13.5% of patients. Epilepsy surgery was performed in 32 patients, and 64% of epilepsy patients deemed ineligible for epilepsy surgery underwent medication adjustments. Patients or their families found LVEM helpful in 75% of cases. Significant seizure reductions and improvements in the disease course were reported by 45% of epilepsy patients. Three episodes of non-convulsive status epilepticus occurred, representing 1.7% of admissions and 1.9% of patients diagnosed with epilepsy, while no injuries were observed.

CONCLUSIONS

LVEM is beneficial for pediatric patients from both a medical perspective and from the perspective of patients and their families, even if patients are ineligible for epilepsy surgery. LVEM is well-tolerated with a low risk of status epilepticus and injuries.

Ambulatory EEG Monitoring, Reviewing, and Interpreting

SUMMARY

This section of this volume of the Journal of Neurophysiology's review of ambulatory EEG (aEEG) is an overview of the uses of the technique, the clinicians who most often use it, and why they use it. It looks at the use of aEEG from the perspectives of the "generalist" and the "specialist" and discusses where they have similar interests and where their interest may diverge. It compares the use of aEEG to the more classic inpatient-based epilepsy monitoring unit service and compares the advantages and disadvantages of the two approaches (aEEG vs. epilepsy monitoring unit). This section then reviews how aEEGs are clinically interpreted based on a best practices approach and how aEEGs can be modified to address recording problems that, until recently, have been approached only in an epilepsy monitoring unit environment. Finally, this section addresses the qualifications necessary for the proper interpretation and reporting of aEEG studies. At the end of this section, there are five case examples using aEEG techniques that demonstrate various aspects covered in this section. These case reports demonstrate not only the utility of aEEG but also show how aEEG recordings can be integrated into the care of complex clinical situations that are frequently encountered not only by the practicing generalists but also by epilepsy specialists who practices out of a comprehensive epilepsy program.

Indications for epilepsy monitoring in pediatric and adolescent health care

Seizures present in childhood with infinite diversity. History alone may suffice for diagnosis in some cases; more often additional evidence is needed to clarify events of concern. Electroencephalography (EEG) is a primary methodology used for seizure identification and management. Pediatric and adolescent health care providers are increasingly asked to make decisions about when and how to refer patients for eventual monitoring and must then be able to confidently interpret any resulting report(s). Comprehensive literature review was undertaken to provide a succinct and up-to-date overview aimed at general and subspecialty non-neurologist pediatric and adolescent health care providers to not only convey a solid general understanding of EEG and what it entails for patients and their families, but also foster a deeper understanding of the indications for monitoring-and how to interpret documented findings. In plain language this resultant guide reviews EEG basics, provides a crash course in the various types of EEG available, discusses broad indications for epilepsy monitoring, guides counseling and management for patients and their families both before and after EEG, and ultimately aids in the interpretation of both findings and prognosis. This review should allow both primary and subspecialty non-neurologic pediatric and adolescent health care providers to better identify when and how to best utilize EEG as part of a larger comprehensive clinical approach, distinguishing and managing both epileptic and nonepileptic disorders of concern while fostering communication across providers to facilitate and coordinate better holistic long-term care of pediatric and adolescent patients.

The Value of Electroencephalogram in Assessing Children With Speech and Language Impairments

Purpose We sought to estimate the prevalence of isolated epileptiform activity (IEA) in children with speech and language impairments and discuss the utility of an electroencephalogram (EEG) in assessing these children. Method We conducted a systematic review and searched for eligible studies in 8 databases. All languages were included, and meta-analyses were performed. Results We found 55 prevalence estimates (8 with control group). The odds of having IEA were 6 times greater for children with speech and language impairments than for typically developing children. The overall pooled prevalence of IEA was 27.3%. A wide variation between the prevalence estimates was, to a certain degree, explained by type of impairment (8.1% in speech impairments, 25.8% in language impairments, and 51.5% in language regression). Sleep EEGs detected a significantly higher prevalence than awake EEGs. Although the presence of epilepsy gave a significantly higher prevalence than if epilepsy was not present, 33.5% of children with language impairment but without epilepsy were found to have IEA in sleep EEGs. Conclusions This systematic review shows that IEA is 6 times more prevalent in children with speech and language impairment than in typically developing children. However, the prevalence rates vary to a great extent. Uncovering IEA will, in addition to information from other clinical assessments, provide a more comprehensive understanding of the child's impairments. We argue that, although EEG is of questionable value when assessing children with speech impairments, sleep EEG could be valuable when assessing children with language impairments and, in particular, children who experience language regression.

The Diagnostic Accuracy of Video Electroencephalography Without Event Capture

OBJECTIVE

The aim of this study was to quantify the accuracy of 24-hour video electroencephalography (vEEG) for the diagnosis of epilepsy when a patient's typical paroxysmal event was not captured (no-event vEEG).

METHODS

We performed a retrospective chart review of all first-time 24 hour no-event vEEG studies at Cincinnati Children's Hospital Medical Center. Clinician diagnosis of epilepsy with a minimum of one year follow-up was used as the reference standard to calculate diagnostic accuracy. Sensitivity and specificity of routine EEG (rEEG) and vEEG were compared in patients with both studies, and factors affecting the accuracy of vEEG were explored with a multivariable analysis.

RESULTS

No-event vEEG showed sensitivity of 0.54 (95% confidence interval [CI] 0.44 to 0.64) and specificity of 0.88 (95% CI 0.84 to 0.92) respectively, with a diagnostic odds ratio of 7.53 (95% CI 4.45 to 12.76). The sensitivity of vEEG was statistically superior to that of rEEG, whereas specificity was comparable. Age emerged as the only factor that affected the diagnostic accuracy of no-event vEEG.

CONCLUSION

Even in the absence of a typical seizure or spell, video EEG is a useful test for predicting or excluding epilepsy, with diagnostic accuracy that is superior to rEEG and unaffected by the presence of a chronic neurological condition.

Surgical Management of Pediatric Epilepsy: Decision-Making and Outcomes

First-line treatment for epilepsy is antiepileptic drug and requires an interdisciplinary approach and enduring commitment and adherence from the patient and family for successful outcome. Despite adherence to antiepileptic drugs, refractory epilepsy occurs in approximately 30% of children with epilepsy, and surgical treatment is an important intervention to consider. Surgical management of pediatric epilepsy is highly effective in selected patients with refractory epilepsy; however, an evidence-based protocol, including best methods of presurgical imaging assessments, and neurodevelopmental and/or behavioral health assessments, is not currently available for clinicians. Surgical treatment of epilepsy can be critical to avoid negative outcomes in functional, cognitive, and behavioral health status. Furthermore, it is often the only method to achieve seizure freedom in refractory epilepsy. Although a large literature base can be found for adults with refractory epilepsy undergoing surgical treatment, less is known about how surgical management affects outcomes in children with epilepsy. The purpose of the review was fourfold: (1) to evaluate the available literature regarding presurgical assessment and postsurgical outcomes in children with medically refractory epilepsy, (2) to identify gaps in our knowledge of surgical treatment and its outcomes in children with epilepsy, (3) to pose questions for further research, and (4) to advocate for a more unified presurgical evaluation protocol including earlier referral for surgical candidacy of pediatric patients with refractory epilepsy. Despite its effectiveness, epilepsy surgery remains an underutilized but evidence-based approach that could lead to positive short- and long-term outcomes for children with refractory epilepsy.

A Case of Apparent Life-Threatening Event: Comorbid Gastric Volvulus Associated Gastroesophageal Reflux Disease and Epilepsy in a 4-Month-Old Boy

Most isolated episodes of apparent life-threatening events (ALTEs) do not lead to the diagnosis of serious conditions, and their prognoses are generally benign. However, recurrent ALTEs are often associated with a risk of future serious adverse events and should be evaluated for appropriate management. Here we present ALTE case in which gastric volvulus associated gastroesophageal reflux disease was detected as an etiology initially, followed by the detection of epilepsy as another etiology. Clinicians should consider possibility of two or more etiologies in a single recurrent ALTE case.

Heightened Delta Power during Slow-Wave-Sleep in Patients with Rett Syndrome Associated with Poor Sleep Efficiency

Sleep problems are commonly reported in Rett syndrome (RTT); however the electroencephalographic (EEG) biomarkers underlying sleep dysfunction are poorly understood. The aim of this study was to analyze the temporal evolution of quantitative EEG (qEEG) biomarkers in overnight EEGs recorded from girls (2–9 yrs. old) diagnosed with RTT using a non-traditional automated protocol. In this study, EEG spectral analysis identified high delta power cycles representing slow wave sleep (SWS) in 8–9h overnight sleep EEGs from the frontal, central and occipital leads (AP axis), comparing age-matched girls with and without RTT. Automated algorithms quantitated the area under the curve (AUC) within identified SWS cycles for each spectral frequency wave form. Both age-matched RTT and control EEGs showed similar increasing trends for recorded delta wave power in the EEG leads along the antero-posterior (AP). RTT EEGs had significantly fewer numbers of SWS sleep cycles; therefore, the overall time spent in SWS was also significantly lower in RTT. In contrast, the AUC for delta power within each SWS cycle was significantly heightened in RTT and remained heightened over consecutive cycles unlike control EEGs that showed an overnight decrement of delta power in consecutive cycles. Gamma wave power associated with these SWS cycles was similar to controls. However, the negative correlation of gamma power with age (r = -.59; p<0.01) detected in controls (2–5 yrs. vs. 6–9 yrs.) was lost in RTT. Poor % SWS (i.e., time spent in SWS overnight) in RTT was also driven by the younger age-group. Incidence of seizures in RTT was associated with significantly lower number of SWS cycles. Therefore, qEEG biomarkers of SWS in RTT evolved temporally and correlated significantly with clinical severity.

Predictors of Length of Stay in Children Admitted for Presurgical Evaluation for Epilepsy Surgery

RATIONALE

One challenge for families whose children are undergoing presurgical evaluation for epilepsy surgery is the unpredictable length of hospitalization for video-electroencephalograph monitoring. The goal of this study was to retrospectively evaluate length of stay in children admitted for presurgical evaluation at a tertiary referral center.

METHODS

Duration of stay for children with medically intractable epilepsy admitted for presurgical evaluation to the Pediatric Epilepsy Monitoring Unit at Mayo Clinic Rochester between 2010 and 2013 was evaluated retrospectively.

RESULTS

Of 140 children, surgical candidacy was determined in 122 (87.1%) (72 candidates, 50 noncandidates). The mean length of stay was 4.0 ± 3.7 days and was not predicted by candidacy for surgery, age at monitoring, duration of epilepsy, number of antiepileptic drugs at admission, or focal/hemispheric magnetic resonance imaging abnormality. Shorter length of stay was predicted by younger age at epilepsy onset (P < 0.05) and shorter interval since most recent seizure (P = 0.001). Subtraction ictal single-photon emission computed tomography coregistered to magnetic resonance imaging was performed in 43 (35.2%) children, and correlated with longer length of stay (mean 5.1 ± 4.1 days for subtraction ictal single-photon emission computed tomography coregistered to magnetic resonance imaging users versus 3.5 ± 3.3 days for nonusers, P = 0.022). Antiepileptic drugs were reduced either upon or after admission in 67 (54.9%) children, and the length of stay was significantly longer in these patients (mean 5.5 ± 4.1 days if antiepileptic drugs were reduced versus 2.2 ± 2.1 days if not reduced, P < 0.001).

CONCLUSIONS

Significant predictors of shorter length of stay include younger age at epilepsy onset, shorter interval from most recent seizure, lack of subtraction ictal single-photon emission computed tomography coregistered to magnetic resonance imaging, and lack of need for AED reduction on or after admission.

Seizure occurrence during pediatric short-term EEG

AIM

To identify the patients who are more likely to experience a seizure during short-term EEG recording.

METHODS

We retrospectively reviewed the EEG recordings and medical records of 294 patients, who were admitted to the Pediatric Departments in Assaf Harofeh Medical Center, and referred for a short-term EEG during a 5-years period following a seizure.

RESULTS

Fifteen (5.1%) patients had seizures during short-term EEG. The likelihood of seizure occurrence was increased by history of seizures (odds ratio 11.86, 95% confidence interval 2.54-55.37), abnormal neurological examination (odds ratio 3.33, 95% confidence interval 1.05-10.55), and the presence of interictal epileptiform discharges (odds ratio 10.07, 95% confidence interval 1.26-80.42). Treatment with antiepileptic drugs and mental retardation were significantly more common among patients with seizures.

CONCLUSIONS

Children with a higher likelihood of a seizure during short-term EEG can be identified using data mainly obtained by history and neurological examination.

Long-term EEG in children

Long-term video-EEG corresponds to a recording ranging from 1 to 24 h or even longer. It is indicated in the following situations: diagnosis of epileptic syndromes or unclassified epilepsy, pre-surgical evaluation for drug-resistant epilepsy, follow-up of epilepsy or in cases of paroxysmal symptoms whose etiology remains uncertain. There are some specificities related to paediatric care: a dedicated pediatric unit; continuous monitoring covering at least a full 24-hour period, especially in the context of pre-surgical evaluation; the requirement of presence by the parents, technician or nurse; and stronger attachment of electrodes (cup electrodes), the number of which is adapted to the age of the child. The chosen duration of the monitoring also depends on the frequency of seizures or paroxysmal events. The polygraphy must be adapted to the type and topography of movements. It is essential to have at least an electrocardiography (ECG) channel, respiratory sensor and electromyography (EMG) on both deltoids. There is no age limit for performing long-term video-EEG even in newborns and infants; nevertheless because of scalp fragility, strict surveillance of the baby's skin condition is required. In the specific context of pre-surgical evaluation, long-term video-EEG must record all types of seizures observed in the child. This monitoring is essential in order to develop hypotheses regarding the seizure onset zone, based on electroclinical correlations, which should be adapted to the child's age and the psychomotor development.

[French guidelines on electroencephalogram]

Electroencephalography allows the functional analysis of electrical brain cortical activity and is the gold standard for analyzing electrophysiological processes involved in epilepsy but also in several other dysfunctions of the central nervous system. Morphological imaging yields complementary data, yet it cannot replace the essential functional analysis tool that is EEG. Furthermore, EEG has the great advantage of being non-invasive, easy to perform and allows control tests when follow-up is necessary, even at the patient's bedside. Faced with the advances in knowledge, techniques and indications, the Société de Neurophysiologie Clinique de Langue Française (SNCLF) and the Ligue Française Contre l'Épilepsie (LFCE) found it necessary to provide an update on EEG recommendations. This article will review the methodology applied to this work, refine the various topics detailed in the following chapters. It will go over the summary of recommendations for each of these chapters and underline proposals for writing an EEG report. Some questions could not be answered by the review of the literature; in those cases, an expert advice was given by the working and reading groups in addition to the guidelines.

Predictors of recording an event during prolonged inpatient video electroencephalogram monitoring in children

BACKGROUND

Distinguishing between seizures and nonepileptic events is a key challenge in pediatric neurology. The diagnostic gold standard is prolonged inpatient video electroencephalogram monitoring. However, little is known about preadmission characteristics that are predictive of recording an event during such monitoring.

METHODS

This is a retrospective chart review of children undergoing prolonged inpatient video electroencephalogram monitoring between 2009 and 2012 at a tertiary referral center for the purpose of distinguishing between seizures and nonepileptic events. Demographic information, medical history, event characteristics, and inpatient monitoring course were abstracted.

RESULTS

Two-hundred thirteen children were identified. The median recording duration was 25 hours (interquartile range 22.4-48.5), and median time to event of interest (among those with an event recorded) was 4.5 hours (interquartile range 1.4-18.8). An event of interest was recorded in 66% of patients. At the event level, 20% of recorded events were associated with an electroencephalogram correlate, which refers to a change in the pattern seen on the electroencephalogram during a seizure. At the patient level, 112 (79.4%) with events recorded had only nonepileptic events recorded, 25 (17.7%) had only seizures recorded, and 4 (2.8%) had both recorded. Recording an event was predicted by the presence of intellectual disability (P = 0.001), greater preadmission event frequency (P < 0.001), and shorter latency since most recent event (P < 0.001).

CONCLUSIONS

Prolonged inpatient electroencephalogram monitoring captured an event of interest in two-thirds of patients, with most of these events captured within less than four and a half hours of recording onset. Several factors predict a greater yield with prolonged inpatient video electroencephalogram monitoring--including event frequency, latency since the most recent event, and the presence of intellectual disability--and can be used to counsel patients regarding this study for the purpose of event capture in the context of shared decision making.

Predictors of seizure occurrence in children undergoing pre-surgical monitoring

PURPOSE

Long-Term-Monitoring (LTM) is a valuable tool for seizure localization/lateralization among children with refractory-epilepsy undergoing pre-surgical-monitoring. The aim of this study was to examine the factors predicting occurrence of single/multiple seizures in children undergoing pre-surgical monitoring in the LTM unit.

METHODS

Chart review was done on 95 consecutive admissions on 92 children (40 females) admitted to the LTM-unit for pre-surgical workup. Relationship between occurrence of multiple (≥ 3) seizures and factors such as home seizure-frequency, demographics, MRI-lesions/seizure-type and localization/AED usage/neurological-exam/epilepsy-duration was evaluated by logistic-regression and survival-analysis. Home seizure-frequency was further categorized into low (up-to 1/month), medium (up-to 1/week) and high (>1/week) and relationship of these categories to the occurrence of multiple seizures was evaluated. Mean length of stay was 5.24 days in all 3 groups.

RESULTS

Home seizure frequency was the only factor predicting the occurrence of single/multiple seizures in children undergoing presurgical workup. Other factors (age/sex/MRI-lesions/seizure-type and localization/AED-usage/neurological-exam/epilepsy-duration) did not affect occurrence of single/multiple seizures or time-to-occurrence of first/second seizure. Analysis of the home-seizure frequency categories revealed that 98% admissions in high-frequency, 94% in the medium, and 77% in low-frequency group had at-least 1 seizure recorded during the monitoring. Odds of first-seizure increased in high vs. low-frequency group (p=0.01). Eighty-nine percent admissions in high-frequency, 78% in medium frequency, versus 50% in low-frequency group had ≥ 3 seizures. The odds of having ≥ 3 seizures increased in high-frequency (p=0.0005) and in medium-frequency (p=0.007), compared to low-frequency group. Mean time-to-first-seizure was 2.7 days in low-frequency, 2.1 days in medium, and 2 days in high-frequency group. Time-to-first-seizure in high and medium-frequency was less than in low-frequency group (p<0.0014 and p=0.038).

CONCLUSION

Majority of the admissions (92%) admitted to the LTM-unit for pre-surgical workup had at-least one seizure during a mean length of stay of 5.24 days. Home seizure-frequency was the only predictor influencing occurrence of single/multiple seizures in the LTM unit. Patients with low seizure-frequency are at risk for completing the monitoring with less than the optimum number (<3) of seizures captured.

Utility and safety of prolonged video-EEG monitoring in a tertiary pediatric epilepsy monitoring unit

Prolonged video-EEG (vEEG) monitoring helps characterize paroxysmal events and epilepsy. There is limited literature in pediatrics describing the safety and utility of vEEG. We retrospectively reviewed 454 pediatric epilepsy monitoring unit admissions over two years. Final event diagnoses, duration of seizures, and medical complications were analyzed. Two hundred twenty admissions (48.4%) captured epileptic seizures, 150 (33.0%) captured nonepileptic events, and 84 (18.5%) failed to capture any events. Medical complications were seen in 4 patients (1.8%) with no long-term complications. Seventeen episodes of status epilepticus occurred in 13 patients. This constituted 2.9% of all admissions and 5.9% of admissions with epileptic seizures. The median duration of status was 26 min, and three patients required transfer to the pediatric intensive care unit. Video-EEG monitoring had a high yield in capturing events and differentiating epileptic from nonepileptic events. Our pediatric patients experienced greater risk of status epilepticus but lesser risk of injury.

Prevalence of epileptic and nonepileptic events after pediatric traumatic brain injury

Though posttraumatic epilepsy (PTE) is a prominent sequela of traumatic brain injury (TBI), other nonepileptic phenomena also warrant consideration. Within two UCLA pediatric TBI cohorts, we categorized five spell types: 1) PTE; 2) Epilepsy with other potential etiologies (cortical dysplasia, primary generalized); 3) Psychopathology; 4) Behavior misinterpreted as seizures; and 5) Other neurologic events. The two cohort subsets differed slightly in injury severity, but they were otherwise similar. Overall, PTE occurred in 40%, other epilepsy etiologies in 14%, and nonepileptic spells collectively in 46%. Among children with spells, PTE was associated with severe TBI (p=0.001), whereas psychopathology (p=0.014) and epilepsy with other etiologies (p=0.006) were associated with milder TBI severity. Posttraumatic epilepsy (p=0.002) and misinterpreted behavior (p=0.049) occurred with younger injury age. Psychopathology (p=0.020) and other neurologic events (p=0.002) occurred with older injury age. In evaluating possible PTE, clinicians should maintain a broad differential diagnosis to prevent misdiagnosis and inappropriate treatment.

[Management of childhood epilepsy]

Epilepsy in children is characterized by the occurring on a developing brain. There are many different types of epilepsy. Make an accurate diagnosis permits to explain the disease, to choose the treatment and to explain the prognosis. The side effects of antiepileptic drugs should be precisely monitored. It is important to take time to carefully evaluate the school performance. Neuropsychological evaluation may be necessary to propose adequate management. Behavior comorbidities should be assessed for an early management. An adapted information on the disease and on the management should be provided to the caregivers.