Philadelphia, Pennsylvania 19104


Purpose:

Non-convulsive seizures (NCS) following cardiac arrest are common and are associated with worse neurologic outcomes and increased mortality. More prolonged seizures (status epilepticus) are associated with worse outcomes. Earlier diagnosis and treatment of seizures may lead to earlier termination of seizures and decreased seizure burden. This study will evaluate whether bedside intensive care unit (ICU) provider interpretation of a type of EEG called DSA EEG can be used by non-neurologists to diagnosis seizures more rapidly than continuous EEG's routinely read by neurologists.


Study summary:

Acute symptomatic electroencephalographic (EEG) seizures are common in children who experience a cardiac arrest, and are associated with worse short term survival. In larger studies of critically ill children with heterogeneous acute encephalopathy etiologies, EEG seizures occur in 10-40% of monitored patients, and there is increasing evidence that high seizure burdens are associated with worse outcomes. Furthermore, status epilepticus treatment delays are associated with reduced medication efficacy for status epilepticus termination. The majority of EEG seizures in critically ill children have no clinical correlate and therefore detection requires EEG monitoring. Many institutions do not have access to continuous EEG monitoring services. Additionally, even when EEG "monitoring" is performed, data review is generally intermittent, leading to delays between seizure onset and detection.The purpose of the study is to determine the efficacy of real-time DSA pattern interpretation for the detection of seizures by bedside ICU practitioners.The primary objective of this study is to determine the whether the real-time DSA patterns interpreted by bedside ICU practitioners can decrease the time to accurate NCS detection following pediatric cardiac arrest. All subjects who receive chest compressions and have return of spontaneous circulation and are cared for the CHOP Pediatric Intensive Care Unit (PICU) will be screened. If patients meet inclusion criteria they will be approached for consent. Written informed consent will be obtained from parents/guardians. Assent will not be obtained as these children are intubated and comatose after arrest.Patients will be randomly assigned to receive standard of care, continuous EEG monitoring, versus continuous EEG monitoring plus real-time ICU provider DSA interpretation. This will go on for the duration of clinically indicated EEG monitoring. For patients enrolled in the standard continuous EEG arm of the study, EEG will be recorded and interpreted as per standard of care. If a seizure is noted by the neurology service, the standard seizure treatment protocol will be used by the clinical team.Patients monitored with standard EEG and DSA will undergo at least hourly interpretation of DSA by the ICU bedside care provider. If the bedside care provider is concerned that there is a seizure on DSA they will contact the EEG tech on call for confirmation. If a seizure is confirmed by neurology, the standard seizure treatment protocol will be used by the clinical team.Following completion of EEG intervention arms, the patients will be followed and discharge survival and discharge Pediatric Cerebral Performance Category (PCPC) will be documented.


Criteria:

Inclusion Criteria: 1. Subjects age > 48 hours 2. Return of Spontaneous Circulation (ROSC) for > 20 minutes after a cardiac arrest 3. Treated in the PICU 4. Clinical team ordering continuous EEG monitoring Exclusion Criteria: 1. Age < 48 hours old and < 38 weeks gestational age 2. No available computers with DSA software


NCT ID:

NCT02458820


Primary Contact:

Principal Investigator
Alexis Topjian, MD, MSCE
Children's Hospital of Philadelphia

Alexis Topjian, MD, MSCE
Phone: 215-590-3915
Email: topjian@chop.edu


Backup Contact:

N/A


Location Contact:

Philadelphia, Pennsylvania 19104
United States

Alexis Topjian, MD
Phone: 215-590-3915
Email: topjian@chop.edu

Site Status: Recruiting


Data Source: ClinicalTrials.gov

Date Processed: November 21, 2017

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