Association of Cerebral and Systemic Physiology With Quantitative Electroencephalographic Characteristics of Early Posttraumatic Seizures

Clinical characteristics and associated factors of posttraumatic epilepsy after traumatic brain injury in children: A retrospective case-control study

BACKGROUND

Traumatic brain injury (TBI) affects approximately 69 million individuals annually, often resulting in well-documented complications such as epilepsy. Although numerous studies have been performed on posttraumatic epilepsy (PTE) in adults over the past decade, research on chronic consequences of TBI in children remains limited. Herein, we retrospectively assessed children who had experienced moderate to severe TBI to determine their clinical characteristics and identify associated factors associated with the development of PTE in the pediatric population.

METHODS

The study population comprised children aged 0-18 years who had experienced moderate to severe TBI and underwent treatment at the Children's Hospital of Chongqing Medical University between 2011 and 2021. They were categorized into two groups: the PTE group, comprising individuals diagnosed with PTE within a one-year follow-up period, and the nPTE group, consisting of those who did not develop PTE during the same timeframe. The primary objective was to investigate the clinical characteristics and identify related associated factors. The relationship between various clinical factors and the incidence of PTE was assessed through univariate and multivariate logistic regression.

RESULTS

A total of 132 patients were assessed. Most participants were male (65%) and the age distribution skewed towards younger children, with a median age of 41.0 months (interquartile range: 45.3). Upon their last clinical visit, 64 children (49%) were diagnosed with PTE. Notably, the first posttraumatic seizure predominantly occurred within the first week following the traumatic event. Further analyses revealed that increasing injury severity, as indicated by a lower Glasgow Coma Scale (GCS) score (odds ratio [OR]: 0.78, 95% confidence interval [CI]: 0.54-1.12, p= 0.018), a contusion load ≥3 (OR: 8.1, 95% CI: 2.3-28.9, p= 0.001), immediate posttraumatic seizures (IPTS) (OR: 8.9, 95% CI: 2.5-31.2, p < 0.001), and early posttraumatic seizures (EPTS) (OR: 54, 95% CI: 11-276, p < 0.001), were all significantly associated with a higher risk of developing PTE.

CONCLUSION

This study highlights that the onset of PTE was associated with the markers of injury severity or PTS and identified GCS scores, contusion loads of ≥3, IPTS, and EPTS as independent associated factors significantly associated with the development of PTE.

Quantitative Electroencephalography Objectivity and Reliability in the Diagnosis and Management of Traumatic Brain Injury: A Systematic Review

Background. Persons with a history of traumatic brain injury (TBI) may exhibit short- and long-term cognitive deficits as well as psychiatric symptoms. These symptoms often reflect functional anomalies in the brain that are not detected by standard neuroimaging. In this context, quantitative electroencephalography (qEEG) is more suitable to evaluate non-normative activity in a wide range of clinical settings. Method. We searched the literature using the "Medline" and "Web of Science" online databases. The search was concluded on February 23, 2023, and revised on July 12, 2023. It returned 134 results from Medline and 4 from Web of Science. We then applied the PRISMA method, which led to the selection of 31 articles, the most recent one published in March 2023. Results. The qEEG method can detect functional anomalies in the brain occurring immediately after and even years after injury, revealing in most cases abnormal power variability and increases in slow (delta and theta) versus decreases in fast (alpha, beta, and gamma) frequency activity. Moreover, other findings show that reduced beta coherence between frontoparietal regions is associated with slower processing speed in patients with recent mild TBI (mTBI). More recently, machine learning (ML) research has developed highly reliable models and algorithms for the detection of TBI, some of which are already integrated into commercial qEEG equipment. Conclusion. Accumulating evidence indicates that the qEEG method may improve the diagnosis and management of TBI, in many cases revealing long-term functional anomalies in the brain or even neuroanatomical insults that are not revealed by standard neuroimaging. While FDA clearance has been obtained only for some of the commercially available equipment, the qEEG method allows for systematic, cost-effective, non-invasive, and reliable investigations at emergency departments. Importantly, the automated implementation of intelligent algorithms based on multimodally acquired, clinically relevant measures may play a key role in increasing diagnosis reliability.

Approaches to neuroprotection in pediatric neurocritical care

Acute neurologic injuries represent a common cause of morbidity and mortality in children presenting to the pediatric intensive care unit. After primary neurologic insults, there may be cerebral brain tissue that remains at risk of secondary insults, which can lead to worsening neurologic injury and unfavorable outcomes. A fundamental goal of pediatric neurocritical care is to mitigate the impact of secondary neurologic injury and improve neurologic outcomes for critically ill children. This review describes the physiologic framework by which strategies in pediatric neurocritical care are designed to reduce the impact of secondary brain injury and improve functional outcomes. Here, we present current and emerging strategies for optimizing neuroprotective strategies in critically ill children.