Key Points
- Epilepsy is one of the most common neurological disorders in childhood.
- Infants with NE who experience ENS have a higher rate of later epilepsy in comparison to those who do not.
- All infants with NE require close follow-up and surveillance for later epilepsy.
INTRODUCTION
Epilepsy is one of the most common neurological disorders of childhood.1 It is a chronic disorder with a considerable burden of disease for both the child and their family; and is ranked globally as one of the top causes of years lived with a disability.2,3 Childhood epilepsy often does not occur in isolation and can be associated with a constellation of co-morbidities including sensory impairment, sleep disturbance and neurodevelopmental issues.4 Epilepsy not only exerts a significant symptom burden on the individual child but it can have a huge effect on the family unit. It can lead to several hospital outpatient clinics annually, hospital admissions, inter-hospital transfers and restrictions in daily living. It may be attributed to a myriad of risk factors, or underlying conditions including a genetic predisposition, perinatal factors and structural brain abnormalities.5 Neonatal encephalopathy (NE) is an important contributing risk factor to later epilepsy. It is an umbrella term encompassing the syndrome of altered level of consciousness, inability to maintain normal respiration and abnormal tone and reflexes.6,7 Published incidence rates of NE vary from 1 to 6 per 1000 live births.8,9 Neonatal seizures (NS) are a common manifestation of NE and are the most frequent neurological emergency in the neonatal period. The incidence of epilepsy following NE is poorly cited as it is dependent on the presence or absence of NS which require electrographic confirmation; something that is not always possible, especially in earlier studies. No consensus yet exists as to whether NS are a manifestation of the underlying brain injury or whether they act to exacerbate brain injury further. There is, however, mounting experimental evidence that ongoing seizures can indeed, negatively impact the developing brain, by augmenting brain injury, mitigating normal brain growth and development, along with increasing the risk of later epilepsy.10,11 Recent studies have shown an association with high total seizure burden (TSB) in infants and lower developmental scores.12–14 Despite NS being the most common neurological emergency in the newborn period, they can be notoriously challenging to accurately detect due to the misclassification of normal neonatal physiological phenomena,15 electroclinical uncoupling16 and the high frequency of electrographic-only seizures in the neonatal period.17,18 In older studies, the diagnosis of NS largely relied on clinical recognition with little reliance on EEG correlates. Clinical seizures themselves are often very subtle, reflective of an immature brain, characterized by incomplete myelination, axonal, dendritic and synaptic development.19 Such features can further impede accurate diagnosis of NS. Electrographic confirmation is now considered as gold standard in NS detection.20–22 As diagnostic methods have improved, previous estimates of the incidence of NS and subsequent epilepsy may be incorrect. Estimation of the incidence of epilepsy aids in healthcare planning and identification of potential predictors of epilepsy may be helpful in prognostication and optimal therapy selection. Heightened awareness among parents and clinicians may lead to earlier presentations and ultimately better outcomes. We hypothesize that infants with NE, both in those, with and without electrographic neonatal seizures (ENS) are at risk of later epilepsy. The primary aim of our study is to establish the incidence of later epilepsy in these infants with a secondary aim to identify potential predictors of later epilepsy.
METHODS
Patients and methods
This was a retrospective observational study performed at Cork University Maternity Hospital, Cork, Ireland, including infants that were previously enrolled in research studies in our center between 2003 and 2019.23–35 This study was approved by the local ethics board—Clinical Research Ethics Committee of Cork Teaching Hospitals (CREC). For our study, infants with NE were included if; ≥37 weeks' gestation, with ≥2 h of continuous EEG (cEEG) monitoring and available follow-up data after the neonatal period. Exclusion criteria included infants with neonatal onset epilepsy, NE secondary to a genetic or metabolic condition, infants with perinatal asphyxia in the absence of clinical encephalopathy, or if death occurred in the neonatal period or prior to follow-up. Infants' main diagnoses were grouped as: HIE (mild, moderate, severe), stroke/intracranial hemorrhage (ICH), sepsis/meningitis. Infants with encephalopathy who did not have any of those diagnoses were grouped as “other.” Neonatal MRI brain injury was classified as normal or abnormal based on written radiology reports at the time. Clinical birth characteristics were recorded in the original databases of the included historical studies. Written pediatric medical notes were reviewed to ascertain later pediatric data in relation to epilepsy and outcome.
EEG
All infants had cEEG monitoring in the neonatal intensive care unit for a minimum of 2 h in the neonatal period. EEG was commenced in infants at risk of HIE or where there was a clinical concern for seizures.23–35 EEG electrodes were applied to the scalp at F3/FP3, F4/FP4, C3, C4, T3, T4, O1, O2, and CZ and additionally PZ in later studies; 2017–2019 (according to the international 10–20 system of electrode placement, as modified for neonates). All EEGs were reviewed in entirety for the presence of seizures. An ENS was defined as a sudden repetitive, stereotyped discharge of minimum 10 s duration on one or more EEG channels with evolving frequency, amplitude and morphology.32,36 The EEG background was graded as severe background pattern yes/no in all infants. A severe background pattern included Grade 3–4 background abnormalities in HIE infants25 or the presence of widespread high-amplitude multifocal sharp waves, burst suppression, persistent discontinuity ≥10 s or isoelectric activity in the non-HIE group as per current EEG guidelines.20,22 In infants with HIE, EEG background was graded at 24 h of age or the nearest 1-h epoch. For infants with a diagnosis other than HIE, the earliest 2 h of good-quality EEG recording was graded, as often EEG monitoring was not performed at 24 h of age for those infants due to varying age at presentation.
Outcome
Written pediatric medical charts were reviewed for all infants to determine if epilepsy developed after the neonatal period. Duration of follow-up was defined as the interval in months between the end of the neonatal period and the date of epilepsy diagnosis (for those diagnosed with epilepsy) or the date of the last medical appointment (for those not diagnosed with epilepsy). Age in months at final clinical encounter was also recorded for all infants. Epilepsy was defined in accordance with ILAE guidelines; ≥2 unprovoked (or reflex) seizures occurring >24 h apart or one unprovoked (or reflex) seizure and a probability of further seizures similar to the general recurrence risk after two unprovoked seizures, or an epilepsy syndrome.37 In addition, a diagnosis of epilepsy was considered when anti-seizure medications (ASMs) were commenced by a pediatric neurologist on the basis of strong clinical history and semiology suggestive of epilepsy with an abnormal EEG. When epilepsy was present, epilepsy onset, type, seizure type, pediatric EEG details, treatment, and related co-morbidities were recorded. All pediatric EEGs were reported by an experienced consultant neurophysiologist in line with standard international recommendations.38 Drug-resistant epilepsy was defined as failure of adequate trials of two tolerated and appropriately chosen and used ASM schedules to achieve sustained seizure freedom.39 Epilepsy type was categorized as focal, generalized, combined (focal and generalized), epilepsy syndrome, and unknown following chart review.40 Seizure type was categorized as focal, generalized, combined, or unknown.41
Statistical analysis
For statistical analysis, IBM SPSS Statistics 26.0 (IBM Corporation, Armonk, NY, USA) and Stata 17.0 (StataCorp, LP College Station, TX, USA) were used. Cumulative incidences were calculated as the number of infants with epilepsy onset during follow-up divided by the number of infants included in the study and multiplied by 100. Incidence rates for epilepsy (per 1000 person-years) overall and by group were calculated as the number of infants with epilepsy onset divided by the observed time at risk and multiplied by 1000. Time at risk was defined as the interval in months between the end of the neonatal period and the date of epilepsy diagnosis (for those diagnosed with epilepsy) or the date of the last medical appointment (for those not diagnosed with epilepsy). Follow-up for infants who developed epilepsy continued beyond their diagnosis to monitor additional outcomes. Incidence rates and their corresponding 95% confidence intervals (CIs) are presented. Categorical variables are described using frequencies and percentages, and continuous variables are described using medians and interquartile ranges (IQRs). Differences between infants with epilepsy and those without were investigated using the Mann–Whitney U test when the variable was continuous and Fisher's exact test when the variable was categorical. Univariable logistic regression models were used to investigate potential predictors of epilepsy. For all potential predictors investigated, the unadjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) are presented. When there was separation, penalized maximum likelihood logistic regression was used as it can produce finite coefficient estimates when there is perfect prediction. Multivariable analysis was not performed due to the small number of infants diagnosed with epilepsy.42 Additionally, subgroup analyses were performed separately for infants with ENS and those without ENS.
RESULTS
Five hundred and twelve infants were recruited to historical studies and two hundred and eighty infants were included in this study (Figure 1). Overall, children were followed up to a median age of 30 months, IQR (24 to 60 months). Those who were not diagnosed with epilepsy were followed up until a median age of 29 months (IQR: 23 to 58 months; range: 5 to 196 months) and 95% (250/263) of them were ≥12 months old at final clinical encounter. Those who were diagnosed with epilepsy were followed up until a median age of 84 months (IQR: 24 to 123 months; range: 7 to 200 months) and 88% (15/17) of them were ≥12 months old at final clinical encounter. The most common underlying diagnosis in all infants who underwent EEG monitoring was HIE (238/280, 85%), followed by stroke/ICH (26/280, 9%).
[IMAGE OMITTED. SEE PDF]
Epilepsy
Epilepsy was diagnosed in 17 (out of 280) infants with an incidence rate of 17.55 per 1000 person-years (95% CI: 10.91 to 28.23). In the ENS group (n = 82), 12 infants were diagnosed with epilepsy with an incidence rate of 39.27 per 1000 person-years (95% CI: 22.30 to 69.16) and in the non-ENS group (n = 198), 5 infants were diagnosed with epilepsy with an incidence rate of 7.54 per 1000 person-years (95% CI: 3.14 to 18.12). The incidence rate was significantly higher in the ENS group compared to the non-ENS group (p-value = 0.002).
Epilepsy onset
Overall, the median age at onset of epilepsy was 7.0 months (IQR: 3.5 to 40.5 months; range: 1 to 115 months). For the ENS group (n = 12) and the non-ENS group (n = 5) the median (IQR) was 6.5 (3.3 to 34.3) months and 9.0 (3.5 to 65.5) months, respectively. Epilepsy occurred in the first year of age in 59% (10/17) of all cases (7/12 in ENS group and 3/5 in non-ENS group). Of the seven children (4 female, 3 male), who developed epilepsy after the first year; 5 had ENS (all moderate–severe HIE). Of the two who developed epilepsy after the first year in the absence of ENS, one had mild HIE (did not receive therapeutic hypothermia (TH)) and one had moderate HIE (received TH) during the neonatal period. The latest onset of epilepsy described in our cohort occurred at approximately 115 months of age in a male child who experienced ENS and who underwent TH for moderate HIE. He was treated with Phenobarbital and Phenytoin in the neonatal period. This child presented with Self-Limited Epilepsy with Centrotemporal Spikes (SeLECTS) on the background of spastic quadriparesis.
Epilepsy types
Generalized epilepsy did not occur in any infants. Focal epilepsy occurred in all but two cases. The infants who did not have focal epilepsy were both diagnosed with Infantile Epileptic Spasms Syndrome (IESS). Overall, six infants (35%) were diagnosed with IESS; moderate HIE (n = 1), severe HIE (n = 3); stroke (n = 1); NE of unknown etiology (n = 1). Of those with HIE, only one infant was born following the introduction of TH and was subsequently cooled. All infants who developed IESS following HIE died by the age of seven years. Lennox–Gastaut syndrome was also diagnosed in one infant in addition to IESS with moderate HIE.
Epilepsy treatment
Drug-resistant epilepsy occurred in 9 of the 17 infants with epilepsy. Levetiracetam was the most common ASM prescribed (12/17), followed by Sodium Valproate (8/17) at any time of the child's epilepsy treatment. The median number of ASMs during childhood was 3 (IQR: 1 to 5). One case is now off all ASMs; an infant with severe HIE treated with Phenobarbitone for focal epilepsy and another declined to commence ASMs.
Co-morbidities and mortality associated with
Eleven infants with epilepsy also had cerebral palsy (CP). Other common co-morbidities included developmental delay, visual impairment, and a requirement for enteral feeding (Table S2). Six infants with epilepsy (5 of those also had CP) died at a median age of 2.7 years (IQR: 1.5 to 7.8 years).
Investigation of potential predictors of epilepsy
Infants with low Apgar scores at 1 and 5 min, delivered vaginally (compared to those with an assisted delivery), a diagnosis of severe HIE (compared to those with mild HIE, moderate HIE or stroke/ICH), a diagnosis of “other” (compared to mild HIE), presence of ENS, a severely abnormal EEG background and an abnormal brain MRI were significantly more likely to be diagnosed with later epilepsy (Table 1). The strongest predictor of later epilepsy was a severely abnormal neonatal EEG background (AUC(95% CI): 0.85(0.72 to 0.98)), followed by underlying diagnosis (AUC(95% CI): 0.83(0.72 to 0.94)) and presence of ENS (AUC(95% CI): 0.72(0.59 to 0.85)). The presence of a severely abnormal EEG background conferred an odds ratio of 52.5 (95% CI: 15.0 to 183.8) and having ENS conferred an odds ratio of 6.6 (95% CI: 2.3 to 19.5) of later epilepsy. The cumulative incidence by diagnosis was: HIE 6.3% (mild 0.9%, moderate 4.0%, severe 40.0%), stroke/ICH 3.8%, sepsis/meningitis 0% and other 14.3%.
TABLE 1 Investigation of potential predictors of epilepsy in all infants who had EEG monitoring (
All infants (n = 280)a % (n) |
Epilepsy (n = 17)a % (n) |
No epilepsy (n = 263)a % (n) |
p-valueb | OR (95% CI) | AUC (95% CI) | p-valuec | |
Sex | 0.443 | 0.55 (0.41 to 0.69) | 0.482 | ||||
Male | 63 (175) | 53 (9) | 63 (166) | 1 | |||
Female | 38 (105) | 47 (8) | 37 (97) | 1.5 (0.6 to 4.1) | |||
Mode of Delivery | 0.021 | 0.69 (0.56 to 0.82) | 0.008 | ||||
SVD | 25 (69) | 53 (9) | 23 (60) | 1 | |||
Assisted | 41 (115) | 18 (3) | 43 (112) | 0.2 (0.0 to 0.7) | |||
Elective Caesarean Section | 3 (7) | 6 (1) | 2 (6) | 1.1 (0.1 to 10.3) | |||
Emergency Caesarean Section | 32 (89) | 24 (4) | 32 (85) | 0.3 (0.1 to 1.1) | |||
Diagnosis | <0.001 | 0.83 (0.72 to 0.94) | <0.001 | ||||
Mild HIE | 40 (112) | 6 (1) | 42 (111) | 1k | |||
Moderate HIE | 36 (101) | 24 (4) | 37 (97) | 3.4 (0.5 to 22.2) | |||
Severe HIE | 9 (25) | 59 (10) | 6 (15) | 50.4 (8.4 to 302.0) | |||
Stroke/ICH | 9 (26) | 6 (1) | 10 (25) | 4.4 (0.4 to 43.8) | |||
Sepsis/Meningitis | 3 (9) | 0 (0) | 3 (9) | 3.9 (0.1 to 102.8) | |||
Otherd | 3 (7) | 6 (1) | 2 (6) | 17.2 (1.6 to 188.6) | |||
Therapeutic Hypothermia | 0.799 | 0.52 (0.38 to 0.66) | 0.787 | ||||
No | 63 (175) | 59 (10) | 63 (165) | 1 | |||
Yes | 38 (105) | 41 (7) | 37 (98) | 1.2 (0.4 to 3.2) | |||
Electrographic Neonatal Seizures | <0.001 | 0.72 (0.59 to 0.85) | 0.002 | ||||
No | 71 (198) | 29 (5) | 73 (193) | 1 | |||
Yes | 29 (82) | 71 (12) | 27 (70) | 6.6 (2.3 to 19.5) | |||
Severely Abnormal Neonatal EEG Backgrounde | <0.001 | 0.85 (0.72 to 0.98) | <0.001 | ||||
No | 91 (249) | 25 (4) | 95 (245) | 1 | |||
Yes | 9 (26) | 75 (12) | 5 (14) | 52.5 (15.0 to 183.8) | |||
Neonatal MRI Brain Imagingf | 0.002 | 0.70 (0.59 to 0.81) | 0.011 | ||||
Normal | 43 (84) | 7 (1) | 46 (83) | 1 | |||
Abnormal | 57 (110) | 93 (14) | 54 (96) | 12.1 (1.6 to 94.0) | |||
median (IQR) | median (IQR) | median (IQR) | p-valuec | ||||
Gestational Age (Weeks)g | 40 (39 to 41) | 40 (39 to 40) | 40 (39 to 41) | 0.953 | 1.1 (0.7 to 1.6) | 0.50 (0.37 to 0.64) | 0.954 |
Birth Weight (grams) | 3455 (3140 to 3758) | 3620 (3325 to 3810) | 3450 (3140 to 3750) | 0.363 | 1.0 (1.0 to 1.0) | 0.57 (0.44 to 0.69) | 0.363 |
Apgar at 1 minuteh | 3 (2 to 6) | 2 (0 to 4) | 3 (2 to 6) | 0.004 | 0.7 (0.5 to 0.9) | 0.71 (0.60 to 0.83) | 0.004 |
Apgar at 5 minutesi | 6 (4 to 8) | 3 (2 to 6) | 6 (4 to 8) | 0.004 | 0.7 (0.6 to 0.9) | 0.71 (0.59 to 0.84) | 0.004 |
Apgar at 10 minutesj | 6 (5 to 8) | 5 (4 to 7) | 7 (5 to 8) | 0.073 | 0.8 (0.6 to 1.0) | 0.68 (0.51 to 0.84) | 0.076 |
Subgroup analyses: Investigation of potential predictors of epilepsy by
The results of the subgroup analyses are presented in Table 2 for infants who had ENS and in Table S1 for infants who did not have ENS.
TABLE 2 Investigation of potential predictors of epilepsy following ENS (
All infants (n = 82)a % (n) |
Epilepsy (n = 12)a % (n) |
No epilepsy (n = 70)a % (n) |
p-valueb | |
Sex | 0.751 | |||
Male | 63 (52) | 58 (7) | 64 (45) | |
Female | 37 (30) | 42 (5) | 36 (25) | |
Mode of Delivery | 0.046 | |||
SVD | 23 (19) | 50 (6) | 19 (13) | |
Instrumental | 39 (32) | 17 (2) | 43 (30) | |
Elective Section | 4 (3) | 8 (1) | 3 (2) | |
Emergency Section | 34 (28) | 25 (3) | 36 (25) | |
Diagnosis | 0.003 | |||
Mild HIE | 5 (4) | 0 (0) | 6 (4) | |
Moderate HIE | 39 (32) | 17 (2) | 43 (30) | |
Severe HIE | 21 (17) | 67 (8) | 13 (9) | |
Stroke/ICH | 28 (23) | 8 (1) | 31 (22) | |
Sepsis/Meningitis | 2 (2) | 0 (0) | 3 (2) | |
Otherd | 5 (4) | 8 (1) | 4 (3) | |
Therapeutic Hypothermia | 1 | |||
No | 61 (50) | 58 (7) | 61 (43) | |
Yes | 39 (32) | 42 (5) | 39 (27) | |
Severely abnormal Neonatal EEG Backgrounde | <0.001 | |||
No | 75 (61) | 18 (2) | 84 (59) | |
Yes | 25 (20) | 82 (9) | 16 (11) | |
Neonatal MRI Brain Imagingf | 0.109 | |||
Normal | 19 (13) | 0 (0) | 22 (13) | |
Abnormal | 81 (56) | 100 (11) | 78 (45) | |
median (IQR) | median (IQR) | median (IQR) | p-valuec | |
Gestational Age (Weeks) | 40 (39 to 41) | 40 (40 to 41) | 40 (39 to 41) | 0.312 |
Birth Weight (grams) | 3520 (3223 to 3743) | 3633 (3453 to 3815) | 3455 (3160 to 3725) | 0.114 |
Apgar at 1 minuteg | 4 (2 to 8) | 2 (1 to 4) | 4 (2 to 8) | 0.018 |
Apgar at 5 minutes | 7 (3 to 9) | 3 (2 to 7) | 7 (4 to 9) | 0.011 |
Apgar at 10 minutesh | 5 (4 to 7) | 4 (3 to 7) | 5 (4 to 7) | 0.647 |
Number of neonatal ASMs | 1 (1 to 2) | 3 (1 to 5) | 1 (1 to 1) | 0.001 |
Electrographic neonatal seizures (
ENS occurred in 82 (29%) infants, 12 (15%) of whom later developed epilepsy.
In this group, infants delivered vaginally (compared to those with an assisted delivery) a diagnosis of severe HIE (compared to those with moderate HIE or stroke/ICH), a severely abnormal EEG background, more ASMs in the neonatal period or low Apgar scores at 1 and 5 min were significantly more likely to be diagnosed with later epilepsy (Table 2).
The presence of a severely abnormal EEG background conferred an odds ratio of 24.1 (95% CI: 4.6 to 127.2) of developing later epilepsy. All infants who developed epilepsy with available brain imaging had abnormal findings.
Infants without electrographic neonatal seizures (
Epilepsy occurred in 5 (3%) of the 198 infants who did not have ENS. Infants with a severely abnormal EEG background and low Apgar score at 1 min were significantly more likely to be diagnosed with later epilepsy (Table S1). A severely abnormal EEG background was noted in 3 infants with later epilepsy, while the other two infants had Grade 1 EEG backgrounds; (moderate HIE; n = 1 and mild HIE; n = 1). Despite, these infants not having ENS, 3 of the 5 received ASMs in the neonatal period which may have eliminated seizures before the onset of EEG monitoring. All but one infant with epilepsy who had neonatal brain imaging had an abnormal result, characterized by predominantly gray matter brain injury. This child had repeat imaging at the time of epilepsy diagnosis and a small right sided focus of increased signal intensity likely representative of gliosis was identified (Tables S1 and S2).
DISCUSSION
The incidence rate of later epilepsy in full term infants with neonatal encephalopathy who underwent EEG monitoring in the neonatal period was 17.55 per 1000 person-years. The incidence rate was significantly higher in the ENS group compared to the non-ENS group (p-value = 0.002). Overall, ENS conferred an odds ratio of 6.6 (95% CI: 2.3 to 19.5) in developing later epilepsy. Several potential predictors of later epilepsy were identified including infants delivered vaginally, low Apgar scores at 1 and 5 min, severe HIE diagnosis, presence of ENS, a severely abnormal EEG background, and an abnormal brain MRI.
In both groups of infants, a severely abnormal EEG background was a significant risk factor for the development of later epilepsy. Several groups have previously reported the association of an abnormal EEG background with later epilepsy.43–45 Glass et al. reported a non-significant association of an abnormal EEG background with later epilepsy.45 Others have described an abnormal EEG characterized by isoelectric or low-voltage activity, burst-suppression pattern, permanent discontinuous or depressed activity to be associated with later epilepsy following acute symptomatic seizures.43,44 Persistently abnormal EEG background patterns in the neonatal period can also increase the risk of later epilepsy, in particular, the presence of a burst-suppression pattern.46 The rate of amplitude-integrated (aEEG) recovery in moderate and severe HIE, specifically the absence of signs of recovery within 24 h of age has also been found to be associated with increased risk.47,48 While we only reviewed particular epochs; specifically 24 h of age in HIE and the earliest 2 h of EEG recording available in non-HIE infants, the former timepoint has been previously demonstrated to be predictive of outcome.49 In the ENS group, additional potential predictors of PNE included increasing number of ASM in the newborn period and lower Apgar scores at 1 and 5 min. Treatment response in the newborn period has also been previously cited as a risk factor for later epilepsy, with time to seizure control and number of ASMs required to achieve seizure control being important determinants for later outcomes.43,44,50 Pisani et al. reported response to treatment as the single independent risk factor for later epilepsy in a cohort of 85 pre-term and term infants with NS.44 In addition, in large studies with over 200 infants, both Toet et al. and Shellhass et al. reported that infants who developed epilepsy tended to require more ASMs compared to those who did not.43,50
HIE was the most common diagnosis associated with later epilepsy in our cohort, though our numbers are limited with a likely over-representation of HIE in comparison to other diagnoses such as stroke. IESS occurred in 27% (4/15) of cases of HIE with epilepsy, with all but one case occurring in the pre-therapeutic hypothermia era. Of note, the cumulative incidence of epilepsy in the pre-TH era was 10% (95% CI: 3% to 21%) in comparison to 5% (95% CI: 3% to 9%) post its introduction though this was not significant; p-value = 0.207. Our analysis, however, is limited by the small numbers included, and larger studies investigating the impact of TH on epileptogenesis are required.
In similarly designed studies, the highest rate of epilepsy has been reported following stroke.50,51 Notably, many of the infants included in our study were recruited to historical studies that focused on infants with perinatal asphyxia, so infants with neonatal stroke and etiologies other than HIE may be under-represented. The latency period for epileptogenesis following neonatal stroke can be considerably longer than other etiologies and the median follow-up in this study may have been insufficient.52,53
A latent period exists between acute provoked seizures and recurrent unprovoked seizures whereby a process of structural and metabolic change takes place, causing a permanent hyper-excitable state leading to recurrent seizures.54 While the first year of life is the most common period for the development of epilepsy, longer latency periods have been described.44,45,52,55 For infants with ENS, epilepsy developed after the first year of life in 42% (5/12), with the latest at 115 months. In the absence of ENS in at risk infants in the newborn period (non-seizure group), later epilepsy still remains a considerable risk. In our study, 2.5% (5/198) of infants developed epilepsy in the absence of ENS. The latest onset for epilepsy in this group was 72 months. This underscores the need for long-term follow-up of at-risk infants in the neonatal period, particularly, even in the absence of ENS.
Infants at risk of seizures are not only at risk of later epilepsy but also of other co-morbidities and mortality. Eleven infants (65%) with epilepsy in our cohort also had cerebral palsy. Furthermore, early drug-resistant epilepsy was common in this cohort, occurring in over 50%. Follow-up duration varied in our cohort, so not all children had a prolonged follow-up period, so length of the follow-up for some infants may increase over time. In addition, over one-third of infants with epilepsy died in childhood, however, not from a direct cause of their underlying epilepsy but from their associated neuro-disabilities.
Our study has several strengths; it includes a large study population with a median follow-up period of 29 months, IQR (23 to 59 months). In total, 95% of included infants were ≥12 months of age at their final clinical encounter. However, we do acknowledge that the epileptogenic period following perinatal brain injury can be longer.55 All neonatal seizures were confirmed electrographically as per current guidelines.20–22 A detailed description is provided on all 17 children who developed epilepsy, including neonatal history and pediatric treatment. Pediatric EEGs were reviewed by an experienced consultant neurophysiologist. Infants were included in this study if they had NE irrespective of the presence of electrographic seizures which is an added value in comparison to other studies. We equally acknowledge our study's limitations. Neonatal EEG background was graded only at one specific timepoint and background grade may have fluctuated over time. EEGs were not all graded by the same grading system or at the same postnatal age as standardized EEG grading schemes do not exist for infants with non-HIE causes of NE. Typically, infants with other causes of NE present at a later age, and subsequently grading at 24 h of age was not always possible. Though an abnormal EEG background was associated with epilepsy, some of these abnormalities may have been exacerbated by ASMs and sedative drugs. This was a retrospective study which involved chart review and the quality of recording of medical information did vary, in particular the description of later epilepsy as current classification systems were not routinely used in earlier cases.40,41,56 Also, pediatric EEGs were performed at the discretion of the referring clinician. In the case of a strong clinical history indicative of epilepsy with underlying potential predictors, not all children had EEGs coinciding at the exact timing of diagnosis. Extensive statistical analysis was limited due to the small number of infants who ultimately developed epilepsy, particularly, when undertaking sub-group analyses.
Further studies are required including a larger and more heterogenous group of infants, more representative of those with NE and at risk of later epilepsy. More extensive analysis is required to evaluate in more detail specific clinical and EEG risk factors for the development of later epilepsy, including extended seizure characterization, and this will be the focus of further study.
Following NE, term infants are at risk of PNE; 15% of infants following acute provoked seizures and 3% of those who did not experience ENS developed later epilepsy. Close follow-up is required in both groups well into the childhood period.
FUNDING INFORMATION
CMS is a PhD candidate funded by the Health Research Board (CDA-2018-008). This research was also supported by a Wellcome Trust Innovator Award (209325/Z/17) and partly supported by Merck's Life Science Community Engagement Programme—Scientific Research. No role was played by the funder/sponsor in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
CONFLICT OF INTEREST STATEMENT
The authors have no conflicts of interest to disclose.
DATA AVAILABILITY STATEMENT
Research data are not shared.
ETHICS STATEMENT
This study was approved by the local ethics board—Clinical Research Ethics Committee of Cork Teaching Hospitals (CREC). We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.
Joint Epilepsy Council of the UK and Ireland. Epilepsy prevalence, incidence, and other statistics. 2011. https://d3imrogdy81qei.cloudfront.net/instructor_docs/373/29_05_2016_Joint_Epilepsy_Council_Prevalence_and_Incidence_September_11.pdf.
Olusanya BO, Wright SM, Nair MKC, Boo NY, Halpern R, Kuper H, et al. Global burden of childhood epilepsy, intellectual disability, and sensory impairments. Pediatrics. 2020;146(1):e20192623.
Rozensztrauch A, Kołtuniuk A. The quality of life of children with epilepsy and the impact of the disease on the family functioning. Int J Environ Res Public Health. 2022;19(4). https://www.mdpi.com/about/announcements/784.
Aaberg KM, Bakken IJ, Lossius MI, Lund Søraas C, Håberg SE, Stoltenberg C, et al. Comorbidity and childhood epilepsy: a nationwide registry study. Pediatrics. 2016;138(3).
Walsh S, Donnan J, Fortin Y, Sikora L, Morrissey A, Collins K, et al. A systematic review of the risks factors associated with the onset and natural progression of epilepsy. Neurotoxicology. 2017;61:64–77.
Volpe JJ. Neonatal encephalopathy: an inadequate term for hypoxic–ischemic encephalopathy. Ann Neurol. 2012;72(2):156–166.
Executive summary: neonatal encephalopathy and neurologic outcome, second edition. Report of the American College of Obstetricians and Gynecologists' task force on neonatal encephalopathy. Obstet Gynecol. 2014;123(4):896–901.
Badawi N, Kurinczuk JJ, Keogh JM, Alessandri LM, O'Sullivan F, Burton PR, et al. Antepartum risk factors for newborn encephalopathy: the Western Australian case‐control study. Br Med J. 1998;317(7172):1549–1553.
Kurinczuk JJ, White‐Koning M, Badawi N. Epidemiology of neonatal encephalopathy and hypoxic–ischaemic encephalopathy. Early Hum Dev. 2010;86(6):329–338.
Holmes GL. The long‐term effects of neonatal seizures. Clin Perinatol. 2009;36(4):901–914.
Dzhala V, Ben‐Ari Y, Khazipov R. Seizures accelerate anoxia‐induced neuronal death in the neonatal rat hippocampus. Ann Neurol. 2000;48(4):632–640.
Alharbi HM, Pinchefsky EF, Tran M‐A, Cerda CIS, Varghese JP, Kamino D, et al. Seizure burden and neurologic outcomes after neonatal encephalopathy. Neurology. 2023;100(19):e1976–e1984.
Trowbridge SK, Condie LO, Landers JR, Bergin AM, Grant PE, Krishnamoorthy K, et al. Effect of neonatal seizure burden and etiology on the long‐term outcome: data from a randomized, controlled trial. Ann Child Neurol Soc. 2023;1(1):53–65.
Pavel AM, Rennie JM, de Vries LS, Mathieson SR, Livingstone V, Finder M, et al. Temporal evolution of electrographic seizures in newborn infants with hypoxic‐ischaemic encephalopathy requiring therapeutic hypothermia: a secondary analysis of the ANSeR studies. The Lancet Child & Adolescent Health. 2024;8(3):214–224.
Malone A, Anthony Ryan C, Fitzgerald A, Burgoyne L, Connolly S, Boylan GB. Interobserver agreement in neonatal seizure identification. Epilepsia. 2009;50(9):2097–2101.
Scher MS, Alvin J, Gaus L, Minnigh B, Painter MJ. Uncoupling of EEG‐clinical neonatal seizures after antiepileptic drug use. Pediatr Neurol. 2003;28(4):277–280.
Abend NS, Wusthoff CJ, Goldberg EM, Dlugos DJ. Electrographic seizures and status epilepticus in critically ill children and neonates with encephalopathy. The Lancet Neurology. 2013;12(12):1170–1179.
Bye AME, Flanagan D. Spatial and temporal characteristics of neonatal seizures. Epilepsia. 1995;36(10):1009–1016.
Donovan MD, Griffin BT, Kharoshankaya L, Cryan JF, Boylan GB. Pharmacotherapy for neonatal seizures: current knowledge and future perspectives. Drugs. 2016;76(6):647–661.
Shellhaas RA, Chang T, Tsuchida T, Scher MS, Riviello JJ, Abend NS, et al. The American clinical neurophysiology society's guideline on continuous electroencephalography monitoring in neonates. J Clin Neurophysiol. 2011;28(6):611–617.
Pressler RM, Cilio MR, Mizrahi EM, Moshé SL, Nunes ML, Plouin P, et al. The ILAE classification of seizures and the epilepsies: modification for seizures in the neonate. Position paper by the ILAE task force on neonatal seizures. Epilepsia. 2021;62(3):615–628.
Tsuchida TN, Wusthoff CJ, Shellhaas RA, Abend NS, Hahn CD, Sullivan JE, et al. American clinical neurophysiology society standardized EEG terminology and categorization for the description of continuous eeg monitoring in neonates: report of the american clinical neurophysiology society critical care monitoring committee. J Clin Neurophysiol. 2013;30(2):161–173.
Murray DM, Boylan GB, Fitzgerald AP, Ryan CA, Murphy BP, Connolly S. Persistent lactic acidosis in neonatal hypoxic‐ischaemic encephalopathy correlates with EEG grade and electrographic seizure burden. Arch Dis Child Fetal Neonatal Ed. 2008;93(3):F183–F186.
Murray DM, Boylan GB, Ali I, Ryan CA, Murphy BP, Connolly S. Defining the gap between electrographic seizure burden, clinical expression and staff recognition of neonatal seizures. Arch Dis Child Fetal Neonatal Ed. 2008;93(3):F187–F191.
Murray DM, Boylan GB, Ryan CA, Connolly S. Early EEG findings in hypoxic‐ischemic encephalopathy predict outcomes at 2 years. Pediatrics. 2009;124(3):e459–e467.
Murray DM, Bala P, O'Connor CM, Ryan CA, Connolly S, Boylan GB. The predictive value of early neurological examination in neonatal hypoxic‐ischaemic encephalopathy and neurodevelopmental outcome at 24 months. Dev Med Child Neurol. 2010;52(2):e55–e59.
Low E, Mathieson SR, Stevenson NJ, Livingstone V, Ryan CA, Bogue CO, et al. Early postnatal EEG features of perinatal arterial ischaemic stroke with seizures. PLoS One. 2014;9(7).
Goulding RM, Stevenson NJ, Murray DM, Livingstone V, Filan PM, Boylan GB. Heart rate variability in hypoxic ischemic encephalopathy during therapeutic hypothermia. Pediatr Res. 2017;81(4):609–615.
Walsh BH, Broadhurst DI, Mandal R, Wishart DS, Boylan GB, Kenny LC, et al. The Metabolomic profile of umbilical cord blood in neonatal hypoxic Ischaemic encephalopathy. PLoS One. 2012;7(12).
O'Sullivan MP, Looney AM, Moloney GM, Finder M, Hallberg B, Clarke G, et al. Validation of altered umbilical cord blood MicroRNA expression in neonatal hypoxic‐ischemic encephalopathy. JAMA Neurol. 2019;76(3):333–341.
O'Sullivan MP, Casey S, Finder M, Ahearne C, Clarke G, Hallberg B, et al. Up‐regulation of Nfat5 mRNA and Fzd4 mRNA as a marker of poor outcome in neonatal hypoxic‐ischemic encephalopathy. J Pediatr. 2021;228:74–81.e2.
Rennie JM, De Vries LS, Blennow M, Foran A, Shah DK, Livingstone V, et al. Characterisation of neonatal seizures and their treatment using continuous EEG monitoring: a multicentre experience. Arch Dis Child Fetal Neonatal Ed. 2019;104(5):F493–F501.
Pavel AM, Rennie JM, de Vries LS, Blennow M, Foran A, Shah DK, et al. A machine‐learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial. The Lancet Child & Adolescent Health. 2020;4(10):740–749.
Garvey AA, Pavel AM, O'Toole JM, Walsh BH, Korotchikova I, Livingstone V, et al. Multichannel EEG abnormalities during the first 6 hours in infants with mild hypoxic–ischaemic encephalopathy. Pediatr Res. 2021;90(1):117–124.
Garvey AA, O’Toole JM, Livingstone V, Walsh B, Moore M, Pavel AM, et al. Evolution of early cerebral NIRS in hypoxic ischaemic encephalopathy. Acta Paediatrica. 2022;111(10):1870–1877. Portico. [DOI: https://dx.doi.org/10.1111/apa.16493]
Clancy RR, Legido A. The exact ictal and interictal duration of electroencephalographic neonatal seizures. Epilepsia. 1987;28(5):537–541.
Fisher RS, Acevedo C, Arzimanoglou A, Bogacz A, Cross JH, Elger CE, et al. ILAE official report: a practical clinical definition of epilepsy. Epilepsia. 2014;55(4):475–482.
Kane N, Acharya J, Benickzy S, Caboclo L, Finnigan S, Kaplan PW, et al. A revised glossary of terms most commonly used by clinical electroencephalographers and updated proposal for the report format of the EEG findings. Revision 2017. Clin Neurophysiol Pract. 2017;2:170–185.
Kwan P, Arzimanoglou A, Berg AT, Brodie MJ, Allen Hauser W, Mathern G, et al. Definition of drug resistant epilepsy: consensus proposal by the ad hoc task force of the ILAE commission on therapeutic strategies. Epilepsia. 2010;51(6):1069–1077.
Scheffer IE, Berkovic S, Capovilla G, Connolly MB, French J, Guilhoto L, et al. ILAE classification of the epilepsies: position paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017;58(4):512–521.
Fisher RS, Cross JH, French JA, Higurashi N, Hirsch E, Jansen FE, et al. Operational classification of seizure types by the international league against epilepsy: position paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017;58(4):522–530.
Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–1379.
Shellhaas RA, Wusthoff CJ, Numis AL, Chu CJ, Massey SL, Abend NS, et al. Early‐life epilepsy after acute symptomatic neonatal seizures: a prospective multicenter study. Epilepsia. 2021;62(8):1871–1882.
Pisani F, Piccolo B, Cantalupo G, Copioli C, Fusco C, Pelosi A, et al. Neonatal seizures and postneonatal epilepsy: a 7‐y follow‐up study. Pediatr Res. 2012;72(2):186–193.
Glass HC, Numis AL, Gano D, Bali V, Rogers EE. Outcomes after acute symptomatic seizures in children admitted to a neonatal Neurocritical care service. Pediatr Neurol. 2018;84:39–45.
Nunes ML, Giraldes MM, Pinho AP, Da Costa JC. Prognostic value of non‐reactive burst suppression EEG pattern associated to early neonatal seizures. Arq Neuropsiquiatr. 2005;63(1):14–19.
Liu X, Jary S, Cowan F, Thoresen M. Reduced infancy and childhood epilepsy following hypothermia‐treated neonatal encephalopathy. Epilepsia. 2017;58(11):1902–1911.
Nyman J, Mikkonen K, Metsäranta M, Toiviainen‐Salo S, Vanhatalo S, Lauronen L, et al. Poor aEEG background recovery after perinatal hypoxic ischemic encephalopathy predicts postneonatal epilepsy by age 4 years. Clin Neurophysiol. 2022;143:116–123.
Glass HC, Numis AL, Comstock BA, Gonzalez FF, Mietzsch U, Bonifacio SL, et al. Association of EEG background and neurodevelopmental outcome in neonates with hypoxic‐ischemic encephalopathy receiving hypothermia. Neurology. 2023;101(22):e2223–e2233.
Toet MC, Groenendaal F, Osredkar D, Van Huffelen AC, De Vries LS. Postneonatal epilepsy following amplitude‐integrated EEG‐detected neonatal seizures. Pediatr Neurol. 2005;32(4):241–247.
Osmond E, Billetop A, Jary S, Likeman M, Thoresen M, Luyt K. Neonatal seizures: magnetic resonance imaging adds value in the diagnosis and prediction of neurodisability. Acta Paediatrica, International Journal of Paediatrics. 2014;103(8):820–826.
Suppiej A, Mastrangelo M, Mastella L, Accorsi P, Grazian L, Casara G, et al. Pediatric epilepsy following neonatal seizures symptomatic of stroke. Brain Dev. 2016;38(1):27–31.
Fox CK, Glass HC, Sidney S, Smith SE, Fullerton HJ. Neonatal seizures triple the risk of a remote seizure after perinatal ischemic stroke. Neurology. 2016;86(23):2179–2186.
Dingledine R, Varvel NH, Dudek FE. When and how do seizures kill neurons, and is cell death relevant to epileptogenesis? Adv Exp Med Biol. 2014;813:109–122.
Pisani F, Pavlidis E, Facini C, La Morgia C, Fusco C, Cantalupo G. A 15‐year epileptogenic period after perinatal brain injury. Funct Neurol. 2017;32(1):49–53.
Specchio N, Wirrell EC, Scheffer IE, Nabbout R, Riney K, Samia P, et al. International league against epilepsy classification and definition of epilepsy syndromes with onset in childhood: position paper by the ILAE task force on nosology and definitions. Epilepsia. 2022;63(6):1398–1442.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Objectives
To determine the incidence of later epilepsy in full‐term infants with neonatal encephalopathy (NE) who undergo continuous electroencephalography (cEEG) monitoring in the neonatal period and to identify potential predictors of later epilepsy both in infants with and without electrographic neonatal seizures (ENS).
Methods
This was a retrospective observational study performed at Cork University Maternity Hospital, Cork, Ireland, between 2003 and 2019. All term infants with NE had a minimum of 2 h of cEEG monitoring in the neonatal period. ENS were identified via cEEG monitoring. Pediatric medical charts were reviewed to determine if epilepsy developed after the neonatal period and to determine potential predictors of epilepsy in infants both with and without ENS.
Results
Two hundred and eighty infants were included. The overall incidence rate of epilepsy was 17.55 per 1000 person‐years (95% CI: 10.91 to 28.23). In infants with ENS (
Significance
Following NE, term infants are at risk of epilepsy with a significantly higher incidence rate in infants who experience ENS compared to those who did not. Close follow‐up is required in both groups well into the childhood period.
Plain Language Summary
This study aimed to determine the occurrence of epilepsy in children who were monitored for seizures in the newborn period. The occurrence of epilepsy was higher in infants who experienced seizures in the newborn period compared to those who did not. Several potential predictors of later epilepsy were identified in both groups of infants (those with and without seizures in the newborn period). Both groups of infants require close follow‐up in childhood.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details




1 INFANT Research Centre, University College Cork, Cork, Ireland, Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
2 Department of Neurophysiology, Cork University Hospital, Cork, Ireland
3 Department of Paediatrics and Child Health, University College Cork, Cork, Ireland, Department of Paediatric Neurology, Cork University Hospital, Cork, Ireland
4 Department of Paediatric Neurology, Cork University Hospital, Cork, Ireland
5 INFANT Research Centre, University College Cork, Cork, Ireland, Department of Paediatrics and Child Health, University College Cork, Cork, Ireland, Department of Neonatology, Cork University Maternity Hospital, Cork, Ireland