Long-term outcome in children with neonatal seizures: A tertiary center experience in cohort of 168 patients

Life After Neonatal Seizures: Characterizing the Longitudinal Parent Experience

BACKGROUND

Parents of neonates with seizures report persistent symptoms of depression, anxiety, and posttraumatic stress. We aimed to characterize the parent experience of caring for children impacted by neonatal seizures, including longitudinal assessment across childhood.

METHODS

This prospective, observational, multicenter study was conducted at Neonatal Seizure Registry (NSR) sites in partnership with the NSR Parent Advisory Panel. Parents completed surveys at discharge; 12, 18, and 24 months; and 3, 4, 5, 7, and 8 years. Surveys included demographic information and open-ended questions targeting parent experience. A conventional content analysis approach was used.

RESULTS

A total of 320 caregivers completed at least one open-ended question, with the majority of respondents at discharge (n = 142), 12 months (n = 169), 18 months (n = 208), and 24 months (n = 245). We identified the following three primary themes. (1) Personal Burden of Care: Parents experienced emotional distress, financial strain, physical demands, and fears for their child's unknown outcome; (2) Managing Day-to-Day Life: Parents described difficulties navigating their parenting role, including managing their child's challenging behaviors and understanding their child's needs amid neurodevelopmental impairment; (3) My Joys as a Parent: Parents valued bonding with their child, being a caregiver, and watching their child's personality grow.

CONCLUSIONS

Parents of children impacted by neonatal seizures face persistent challenges, which are interwoven with the joys of being a parent. Our findings suggest that future interventions should promote resiliency, address caregivers' psychosocial needs longitudinally, and provide enhanced support for parents caring for children with medical complexity.

Epilepsy Frequency and Risk Factors Three Years After Neonatal Seizures

BACKGROUND

Neonatal seizures, one of the main risk factors for the development of epilepsy, remain a clinical concern. In children with neonatal seizures, early recognition of risk factors is important for the early diagnosis and appropriate treatment of epilepsy and for improving prognosis. In this study, we aimed to determine the frequency of and the risk factors for the development of epilepsy in patients with neonatal seizures.

METHODS

The hospital files of 228 children who experienced seizures in the neonatal period were reviewed. The frequency of epilepsy and risk factors for the development of epilepsy were determined at age 36 months.

RESULTS

Epilepsy was diagnosed in 40.8% of the cases. Univariate analysis revealed family history of epilepsy, parental consanguinity, abnormal neurological examination findings, microcephaly, unresponsiveness to antiepileptic drugs or antiseizure medication, use of more than one antiepileptic drugs to antiseizure medication at discharge, status epilepticus, electroencephalography abnormalities, abnormal neuroimaging findings, invasive ventilation requirement, myoclonic seizures, central nervous system malformation, and congenital metabolic disease as risk factors for the development of epilepsy. Of these, a family history of epilepsy, abnormal neurological examination findings at discharge, and use of at least two antiepileptic drugs to antiseizure medication at discharge were found as independent risk factors in multivariate analysis.

CONCLUSIONS

Neonatal seizures appear to be associated with epilepsy in more than one-third of the patients. Of the newborns with seizures, those with a family history of epilepsy, abnormal neurological examination findings at discharge, and those using at least two antiepileptic drugs to antiseizure medication at discharge should be monitored more carefully for the development of epilepsy.

Detection and Severity Identification of Neonatal Seizure Using Deep Convolutional Neural Networks from Multichannel EEG Signal

Introduction

One of the most frequent neurological conditions in newborns is neonatal seizures, which may indicate severe neurological dysfunction. These seizures may have very subtle or very modest clinical indications because patterns like oscillatory (spike) trains begin with relatively low amplitude and gradually increase over time. This becomes very challenging and erroneous if clinical observation is the primary basis for identifying newborn seizures. In this study, a diagnosis system using deep convolutional neural networks is proposed to determine and classify the severity level of neonatal seizures using multichannel neonatal EEG data.

Methods

Datasets from publicly accessible online sources were used to compile clinical multichannel EEG datasets. Various preprocessing steps were taken, including the conversion of 2D time series data to equivalent waveform pictures. The proposed models have undergone training, and evaluations of their performance were conducted.

Results

The proposed CNN was used to perform binary classification with an accuracy of 92.6%, F1-score of 92.7%, specificity of 92.8%, and precision of 92.6%. To detect newborn seizures, this model is utilized. Using the proposed CNN model, multiclassification was performed with accuracy rates of 88.6%, specificity rates of 92.18%, F1-score rates of 85.61%, and precision rates of 88.9%. The results demonstrated that the suggested strategy can assist medical professionals in making accurate diagnoses close to healthcare institutions.

Conclusion

The developed system was capable of detecting neonatal seizures and has the potential to be used as a decision-making tool in resource-limited areas with a scarcity of expert neurologists.

Genome sequencing of 320 Chinese children with epilepsy: a clinical and molecular study

The aim of this study is to evaluate the diagnostic value of genome sequencing in children with epilepsy, and to provide genome sequencing-based insights into the molecular genetic mechanisms of epilepsy to help establish accurate diagnoses, design appropriate treatments and assist in genetic counselling. We performed genome sequencing on 320 Chinese children with epilepsy, and interpreted single-nucleotide variants and copy number variants of all samples. The complete pedigree and clinical data of the probands were established and followed up. The clinical phenotypes, treatments, prognoses and genotypes of the patients were analysed. Age at seizure onset ranged from 1 day to 17 years, with a median of 4.3 years. Pathogenic/likely pathogenic variants were found in 117 of the 320 children (36.6%), of whom 93 (29.1%) had single-nucleotide variants, 22 (6.9%) had copy number variants and two had both single-nucleotide variants and copy number variants. Single-nucleotide variants were most frequently found in SCN1A (10/95, 10.5%), which is associated with Dravet syndrome, followed by PRRT2 (8/95, 8.4%), which is associated with benign familial infantile epilepsy, and TSC2 (7/95, 7.4%), which is associated with tuberous sclerosis. Among the copy number variants, there were three with a length <25 kilobases. The most common recurrent copy number variants were 17p13.3 deletions (5/24, 20.8%), 16p11.2 deletions (4/24, 16.7%), and 7q11.23 duplications (2/24, 8.3%), which are associated with epilepsy, developmental retardation and congenital abnormalities. Four particular 16p11.2 deletions and two 15q11.2 deletions were considered to be susceptibility factors contributing to neurodevelopmental disorders associated with epilepsy. The diagnostic yield was 75.0% in patients with seizure onset during the first postnatal month, and gradually decreased in patients with seizure onset at a later age. Forty-two patients (13.1%) were found to be specifically treatable for the underlying genetic cause identified by genome sequencing. Three of them received corresponding targeted therapies and demonstrated favourable prognoses. Genome sequencing provides complete genetic diagnosis, thus enabling individualized treatment and genetic counselling for the parents of the patients. Genome sequencing is expected to become the first choice of methods for genetic testing of patients with epilepsy.

Epilepsy surgery in infants up to 3 months of age: Safety, feasibility, and outcomes: A multicenter, multinational study

OBJECTIVE

Drug-resistant epilepsy (DRE) during the first few months of life is challenging and necessitates aggressive treatment, including surgery. Because the most common causes of DRE in infancy are related to extensive developmental anomalies, surgery often entails extensive tissue resections or disconnection. The literature on "ultra-early" epilepsy surgery is sparse, with limited data concerning efficacy controlling the seizures, and safety. The current study's goal is to review the safety and efficacy of ultra-early epilepsy surgery performed before the age of 3 months.

METHODS

To achieve a large sample size and external validity, a multinational, multicenter retrospective study was performed, focusing on epilepsy surgery for infants younger than 3 months of age. Collected data included epilepsy characteristics, surgical details, epilepsy outcome, and complications.

RESULTS

Sixty-four patients underwent 69 surgeries before the age of 3 months. The most common pathologies were cortical dysplasia (28), hemimegalencephaly (17), and tubers (5). The most common procedures were hemispheric surgeries (48 procedures). Two cases were intentionally staged, and one was unexpectedly aborted. Nearly all patients received blood products. There were no perioperative deaths and no major unexpected permanent morbidities. Twenty-five percent of patients undergoing hemispheric surgeries developed hydrocephalus. Excellent epilepsy outcome (International League Against Epilepsy [ILAE] grade I) was achieved in 66% of cases over a median follow-up of 41 months (19-104 interquartile range [IQR]). The number of antiseizure medications was significantly reduced (median 2 drugs, 1-3 IQR, p < .0001). Outcome was not significantly associated with the type of surgery (hemispheric or more limited resections).

SIGNIFICANCE

Epilepsy surgery during the first few months of life is associated with excellent seizure control, and when performed by highly experienced teams, is not associated with more permanent morbidity than surgery in older infants. Thus surgical treatment should not be postponed to treat DRE in very young infants based on their age.

The Use of Antidepressant Medications During Pregnancy and the Risk of Neonatal Seizures: A Systematic Review

PURPOSE

This review examined the current literature about the potential relationship between the use of antidepressants during pregnancy and neonatal seizures.

METHODS

PubMed was searched for English language reports published between January 1, 1996, and October 31, 2018, by using combinations of the following key words: pregnancy, neonatal outcome, neonatal convulsion, neonatal seizure, SSRI, selective serotonin norepinephrine reuptake inhibitor (SNRI), tricyclic antidepressant (TCA), antidepressants, sertraline, fluoxetine, paroxetine, citalopram, escitalopram, fluvoxamine, venlafaxine, mirtazapine, duloxetine, bupropion, amitriptyline, imipramine, and clomipramine.

FINDINGS

A total of 9 relevant studies that met the review criteria were examined. The prevalence rates of neonatal seizures in the antidepressant groups and control groups were 0.30% to 0.91% and 0.10% to 0.30%, respectively. The use of selective serotonin reuptake inhibitors was associated with up to 5-fold increase in the risk of neonatal seizures. Compared with the controls, higher risks were reported in newborns of pregnant women using any antidepressant or tricyclic antidepressants albeit in a limited number of studies. Exposure to antidepressants in the third trimester of pregnancy appeared to be associated more with neonatal seizures compared with earlier exposure.

IMPLICATONS

Although an increased risk of neonatal seizures in newborns antenatally exposed to antidepressants especially selective serotonin reuptake inhibitors may be suggested, the available studies have severe methodological limitations to enable any firm conclusion.

Evaluation of the prognostic factors in school age children who experienced neonatal seizures

BACKGROUND

This prospective study aimed to evaluate long-term neurodevelopmental outcomes and risk factors of the previously reported cohort, at their school age.

METHOD

We included neonates whose seizures were directly observed by the child neurologist or neonatologist based on clinical observations. They were assessed for cognitive and neurological outcomes at the age of 9-11 years. The test battery included a neurological examination, the Wechsler Intelligence Scale for Children-Revised (WISC-R) test, and patients with the diagnosis of cerebral palsy (CP) were graded according to the Gross Motor Function Classification System (GMFCS). The primary outcome of this study was to determine risk factors for the long-term prognosis of neonatal seizures.

RESULTS

For the long-term follow-up, 97 out of 112 patients of the initial cohort were available (86.6%). We found that 40 patients (41%) have the normal prognosis, 22 patients (22.7%) have the diagnosis of CP, and 30 patients (30.9%) were diagnosed as having epilepsy. Twelve out of 22 patients with CP had the diagnosis of epilepsy. The WISC-R full-scale IQ scores were <55 points in 27 patients (27.8%) and were >85 points in 40 patients (41.2%). According to GMFCS, 10 patients were classified as levels 1-2, and 12 patients were classified as levels 3-5. In multivariate regression analyses, 5-min APGAR score <6 was found to be an independent risk factor for CP, and 5-min APGAR score <6 and neonatal status epilepticus were independent risk factors for epilepsy.

CONCLUSIONS

This prospective cohort study reveals that abnormal school age outcome after neonatal seizures are significantly related to 5-min APGAR score <6 and neonatal status epilepticus.

A Comparison Of Conventional Electroencephalography With Amplitude-Integrated EEG In Detection Of Neonatal Seizures

Introduction

Amplitude-integrated electroencephalogram (aEEG) is widely used in Neonatal Intensive Care Units (NICUs) to monitor neonatal seizures. This method is still not well established compared to conventional electroencephalogram (cEEG), the diagnostic gold standard. However, aEEG can be a good screening tool for the diagnosis of seizures in infants. Our aim in this review study is to evaluate aEEG diagnostic accuracy in comparison with cEEG, for detection of neonatal seizures.

Methods

In this work, we studied the published articles which used EEG and aEEG in the evaluation process of seizures in neonates and compared these techniques to obtain an approach for the detection of neonatal seizures.

Results

Seventeen articles were included. Using aEEG with raw trace to detect individual seizures showed median sensitivity of 78% (range: 68-85) and median specificity of 78% (range: 71-84). The median sensitivity and specificity were 54% (range: 25-95) and 81% (range: 50-100), respectively, in case of using aEEG without raw traces. Brief duration seizures and those occurring away from aEEG leads were less detected.

Conclusion

Studies showed that aEEG has variable sensitivity and specificity. Based on the evidences, aEEG cannot be recommended as the only way for diagnosis and management of seizures in neonates; however, it could complete the diagnosis of seizures in the infant and could be a very good tool for screening seizures.