Neurologists increasingly recognize that critically ill patients are at high risk for seizures, particularly nonconvulsive seizures, and that neuromonitoring is a useful tool for diagnosing seizures and assessing brain function in these patients. Amplitude-integrated electroencephalography (EEG) is a simplified bedside neurophysiology tool that has become widely used in neonates over the past decade. Despite widespread interest by both neurologists and neonatologists in continuous brain monitoring, amplitude-integrated EEG has been largely ignored by neurologists, forcing neonatologists to go it alone when interpreting data from this bedside tool. Although amplitude-integrated EEG cannot replace conventional EEG for background monitoring and detection of seizures, it remains a useful instrument that complements conventional EEG, is being widely adopted by neonatologists, and should be supported by neonatal neurologists.

BACKGROUND: Gene-targeted therapies are becoming a reality for infants and children with diseases of the nervous system. Rapid scientific advances have led to disease-modifying or even curative treatments. However, delays and gaps in diagnosis, inequitable delivery, and the need for long-term surveillance pose unresolved challenges. OBJECTIVE AND METHODS: The goal of the Child Neurology Society Research Committee was to evaluate and provide guidance on the obstacles, opportunities, and uncertainties in gene-targeted therapies for pediatric neurological disease. The Child Neurology Society Research Committee engaged in collaborative, iterative literature review and committee deliberations to prepare this consensus statement. RESULTS: We identified important challenges for gene-targeted therapies that require resource investments, infrastructure development, and strategic planning. Barriers include inequities in diagnosis and delivery of therapies, high costs, and a need for long-term surveillance of efficacy and safety, including systematic tracking of unanticipated effects. Key uncertainties regarding technical aspects and usage of gene-targeted therapies should be addressed, and characterization of new natural histories of diseases will be needed. Counterbalanced with these obstacles and uncertainties is the tremendous potential being demonstrated in treatments and clinical trials of gene-targeted therapies. CONCLUSIONS: Given that gene-targeted therapies for neurological diseases are in their earliest phase, the pediatric neurology community can play a vital role in their guidance and implementation. This role includes facilitating development of infrastructure and guidelines; ensuring efficient, equitable, and ethical implementation of treatments; and advocating for affordable and broad access for all children.

Neurologists increasingly recognize that critically ill patients are at high risk for seizures, particularly nonconvulsive seizures, and that neuromonitoring is a useful tool for diagnosing seizures and assessing brain function in these patients. Amplitude-integrated electroencephalography (EEG) is a simplified bedside neurophysiology tool that has become widely used in neonates over the past decade. Despite widespread interest by both neurologists and neonatologists in continuous brain monitoring, amplitude-integrated EEG has been largely ignored by neurologists, forcing neonatologists to "go it alone" when interpreting data from this bedside tool. Although amplitude-integrated EEG cannot replace conventional EEG for background monitoring and detection of seizures, it remains a useful instrument that complements conventional EEG, is being widely adopted by neonatologists, and should be supported by neonatal neurologists.

Background

Neonatal seizures and antiseizure medications both have potentially serious consequences on the developing brain. As such, optimal treatment of neonatal seizures remains unclear. Moreover, little is known about parental experiences, concerns, or unanswered questions. We conducted an online survey to assess parental perspectives regarding neonatal seizures and their management, along with their suggestions for specific high priority research topics.

Methods

Parents whose children had neonatal seizures were recruited through social media support groups to complete an online survey. Respondents progressed through a tiered series of questions about their experiences with neonatal seizures and antiseizure medications.

Results

There were 126 eligible respondents. On a Likert scale, parents reported that neonatal seizures had a major effect on their families (median 10 of 10; interquartile range 3; n = 85). They also reported that antiseizure medications had a significant impact on their families (median 7 of 10; interquartile range 5.5; n = 75). The emotional impact of the uncertainty regarding seizures and medications was highlighted. Effects on neurodevelopment, continued seizures, and adverse effects of medications were some of the most commonly reported parental concerns and their highest priority research topics.

Conclusions

Both neonatal seizures and the medications used to treat them contribute to parental worries and have major impact on families. Patient-centered outcomes research should focus on the risk-benefit ratio of neonatal seizures and antiseizure medication. The emotional impact on parents related to the uncertainty regarding both immediate and long-term neonatal seizure management is important to address in the clinical setting.

Objective

Research using neonatal electroencephalography (EEG) has been limited by a lack of a standardized classification system and interpretation terminology. In 2013, the American Clinical Neurophysiology Society (ACNS) published a guideline for standardized terminology and categorization in the description of continuous EEG in neonates. We sought to assess interrater agreement for this neonatal EEG categorization system as applied by a group of pediatric neurophysiologists.

Methods

A total of 60 neonatal EEG studies were collected from three institutions. All EEG segments were from term neonates with hypoxic-ischemic encephalopathy. Three pediatric neurophysiologists independently reviewed each record using the ACNS standardized scoring system. Unweighted kappa values were calculated for interrater agreement of categorical data across multiple observers.

Results

Interrater agreement was very good for identification of seizures (κ = 0.93, p < 0.001), with perfect agreement in 95% of records (57 of 60). Interrater agreement was moderate for classifying records as normal or having any abnormality (κ = 0.49, p < 0.001), with perfect agreement in 78% of records (47 of 60). Interrater agreement was good in classifying EEG backgrounds on a 5-category scale (normal, excessively discontinuous, burst suppression, status epilepticus, or electrocerebral inactivity) (κ = 0.70, p < 0.001), with perfect agreement in 72% of records (43 of 60). Other specific background features had lower agreement, including voltage (κ = 0.41, p < 0.001), variability (κ = 0.35, p < 0.001), symmetry (κ = 0.18, p = 0.01), presence of abnormal sharp waves (κ < 0.20, p < 0.05), and presence of brief rhythmic discharges (κ < 0.20, p < 0.05).

Significance

We found good or very good interrater agreement applying the ACNS system for identification of seizures and classification of EEG background. Other specific EEG features showed limited interrater agreement. Of importance to both clinicians and researchers, our findings support using the ACNS system in identifying seizures and classifying backgrounds of neonatal EEG recordings, but also suggest limited reproducibility for certain other EEG features.

OBJECTIVE: To assess the risk factors for electrographic seizures among neonates treated with therapeutic hypothermia for hypoxic-ischemic encephalopathy (HIE). METHODS: Three-center observational cohort study of 90 term neonates treated with hypothermia, monitored with continuous video-EEG (cEEG) within the first day of life (median age at onset of recording 9.5 hours, interquartile range 6.3-14.5), and continued for >24 hours (total recording 93.3 hours, interquartile range 80.1-112.8 among survivors). A pediatric electroencephalographer at each site reviewed cEEGs for electrographic seizures and initial EEG background category. RESULTS: A total of 43 (48%) had electrographic seizures, including 9 (10%) with electrographic status epilepticus. Abnormal initial EEG background classification (excessively discontinuous, depressed and undifferentiated, burst suppression, or extremely low voltage), but not clinical variables (including pH <6.8, base excess ≤-20, or 10-minute Apgar ≤ 3), was strongly associated with seizures. CONCLUSIONS: Electrographic seizures are common among neonates with HIE undergoing hypothermia and are difficult to predict based on clinical features. These results justify the recommendation for cEEG monitoring in neonates treated with hypothermia.

Objective

To assess the risk factors for electrographic seizures among neonates treated with therapeutic hypothermia for hypoxic-ischemic encephalopathy (HIE).

Methods

Three-center observational cohort study of 90 term neonates treated with hypothermia, monitored with continuous video-EEG (cEEG) within the first day of life (median age at onset of recording 9.5 hours, interquartile range 6.3-14.5), and continued for >24 hours (total recording 93.3 hours, interquartile range 80.1-112.8 among survivors). A pediatric electroencephalographer at each site reviewed cEEGs for electrographic seizures and initial EEG background category.

Results

A total of 43 (48%) had electrographic seizures, including 9 (10%) with electrographic status epilepticus. Abnormal initial EEG background classification (excessively discontinuous, depressed and undifferentiated, burst suppression, or extremely low voltage), but not clinical variables (including pH <6.8, base excess ≤-20, or 10-minute Apgar ≤ 3), was strongly associated with seizures.

Conclusions

Electrographic seizures are common among neonates with HIE undergoing hypothermia and are difficult to predict based on clinical features. These results justify the recommendation for cEEG monitoring in neonates treated with hypothermia.

BACKGROUND: Neonatal seizures are associated with death and neurological morbidity; however, little is known about how neonates with seizures die. METHODS: This was a prospective, observational cohort study of neonates with seizures treated at seven sites of the Neonatal Seizure Registry. We characterized the mode of death, evaluated the association between infant characteristics and mode of death, and evaluated predictors of death or transfer to hospice. RESULTS: We enrolled 611 consecutive neonates with seizures, and 90 neonates (15%) died before hospital discharge at a median age of 11 days (range: 1 to 163 days); 32 (36%) died in the first postnatal week. An additional 19 neonates (3%) were transferred to hospice. The most common mode of in-hospital death was death after extubation amidst concerns for poor neurological prognosis, in the absence of life-threatening physiologic instability (n = 43, 48%). Only one infant died while actively receiving cardiopulmonary resuscitation. In an adjusted analysis, premature birth (odds ratio: 3.06, 95% confidence interval 1.59 to 5.90) and high seizure burden (odds ratio: 4.33, 95% confidence interval 1.88 to 9.95) were associated with increased odds of death or transfer to hospice. CONCLUSION: In a cohort of neonates with seizures, death occurred predominantly after decisions to withdraw or withhold life-sustaining intervention(s). Future work should characterize how these decisions occur and develop optimized approaches to support families and clinicians caring for newborns with seizures.

Objective

Although individual neonatal epilepsy syndromes are rare, as a group they represent a sizable subgroup of neonatal seizure etiologies. We evaluated the profile of neonatal epilepsies in a prospective cohort of newborns with seizures.

Methods

Consecutive newborns with seizures were enrolled in the Neonatal Seizure Registry (an association of 7 US children's hospitals). Treatment and diagnostic testing were at the clinicians' discretion. Neonates with seizures related to epileptic encephalopathies (without structural brain abnormalities), brain malformations, or benign familial epilepsies were included in this analysis.

Results

Among 611 consecutive newborns with seizures, 79 (13%) had epilepsy (35 epileptic encephalopathy, 32 congenital brain malformations, 11 benign familial neonatal epilepsy [BFNE], 1 benign neonatal seizures). Twenty-nine (83%) with epileptic encephalopathy had genetic testing and 24/29 (83%) had a genetic etiology. Pathogenic or likely pathogenic KCNQ2 variants (n = 10) were the most commonly identified etiology of epileptic encephalopathy. Among 23 neonates with brain malformations who had genetic testing, 7 had putative genetic etiologies. Six infants with BFNE had genetic testing; 3 had pathogenic KCNQ2 variants and 1 had a pathogenic KCNQ3 variant. Comorbid illnesses that predisposed to acute symptomatic seizures occurred in 3/35 neonates with epileptic encephalopathy vs 10/32 with brain malformations (p = 0.03). Death or discharge to hospice were more common among newborns with brain malformations (11/32) than those with epileptic encephalopathy (3/35, p = 0.01).

Conclusions

Neonatal epilepsy is often due to identifiable genetic causes. Genetic testing is now warranted for newborns with epilepsy in order to guide management and inform discussions of prognosis.