The current project undertakes a prospective multicentre randomised controlled trial to evaluate whether full or continuous electroencephalography (cEEG) is superior to amplitude-integrated electroencephalography (aEEG) in the real time evaluation and diagnosis of neonatal seizures and in reducing time to treatment. At-risk new-born infants will be recruited on the participating neonatal intensive care units (NICUs) by trained specialist staff and will have 24 hours of EEG monitoring.
Seizures are the most common neurological emergency in the neonatal period, affecting over 2000 infants per year in the UK. Although neonatal seizures usually result from acute brain insults, about 10-15% represent genetic forms of epilepsy which are often diagnosed late, thus limiting the timely use of targeted therapies. Lack or delayed initiation of treatment results in a high seizure burden which is independently associated with worse clinical outcomes. Diagnosing neonatal seizures is challenging because most have only subtle or no clinical manifestation. The gold standard for seizure detection is continuous electroencephalography (cEEG). cEEG can assist with establish the aetiology of seizures, and their management. However, this capability is lacking in most neonatal intensive care units (NICU) due to lack of on-site specialist support. The more common amplitude-integrated EEG (aEEG) uses a limited number of electrodes and is easier to apply and interpret but has been shown to miss a significant number of seizures. It is unclear how often seizure treatment is missed or delayed due to lack of cEEG access. Although studies have compared the diagnostic value of aEEG and cEEG retrospectively, the measured sensitivity of aEEG ranges widely (25-85%), likely due to poor design (retrospective, lack of adequate control group, no power calculations). The current project undertakes a prospective multicentre randomised controlled trial to evaluate whether cEEG is superior to aEEG in the real time evaluation and diagnosis of neonatal seizures and in reducing time to treatment. At-risk neonates will be recruited on the NICU by trained specialist staff and will have 24 hours of EEG monitoring.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
In group B, the standart-care equivalent aEEG review is undertaken by NICU staff via a 2-channel display. In addition to the standard care, concurrent full EEG is reviewed remotely with regular feedback by a specialist trained clinical neurophysiologist. The clinical neurophysiology reports only on seizure burden, no information or direction is provided regarding clinical management.
Cambridge University Hospitals NHS Foundation Trust
Cambridge, United Kingdom
RECRUITINGSeizure detection yield of aEEG compared to full EEG
The primary outcome measure for the study is the difference in the number of correctly identified seizures by NICU staff in real time with (full EEG) or without (aEEG only) the support of clinical neurophysiology.
Time frame: Each participant will be assessed in Group A (aEEG review only) or Group B (a+cEEG) for 24 hours.
Time from first recorded seizure to first recognised seizure and to treatment.
Their time to treatment and time to discharge will also be noted.
Time frame: Each participant's seizure burden, treatment and discharge timelines will be recorded up until their discharge from the hospital, or for up to 6 months, whichever came first.
Number of false positive seizure detections clinically and/or by aEEG
Time frame: Followed until their discharge from hospital, or for up to 6 months, whichever came first.
Off-line seizure burden (min/hr) detected by aEEG vs detected by cEEG
Time frame: Followed until their discharge from hospital, or for up to 6 months, whichever came first.
Parental and staff acceptance of EEG monitoring (combined cohort) using questionnaire.
Time frame: Parents may fill in the questionnaire online after their infant's discharge from hospital, the questionnaire will take a maximum of 10 minutes to complete.
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Masking
SINGLE
Enrollment
140