Electrographic Seizure Management and Neurobehavioral Outcomes in Critically Ill Children
NCT ID: NCT03419260
Last Updated: 2025-02-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
2500 participants
OBSERVATIONAL
2017-03-13
2027-01-01
Brief Summary
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This is a single-center prospective observational study. The investigators aim to: (1) track critically ill patients undergoing clinically indicated EEG monitoring and seizure management to identify risk factors for electrographic seizures, (2) create prediction models guiding EEG monitoring resources to the patients at highest risk for seizures, and (3) evaluate our current management strategy in terms of safety.
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Detailed Description
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Objectives: The primary objective is to identify risk factors for electrographic seizures in critically ill patients and use these risk factors to create and validate a seizure prediction model. The secondary objective is to evaluate the safety of a targeted and timely electrographic seizure identification and management strategy among critically ill patients guided by a CHOP ICU EEG Monitoring Pathway.
Study Design: Single center observational study of consecutive patients undergoing clinically indicated EEG monitoring.
Setting/Participants: Single-center study of critically ill children in the Pediatric ICU at CHOP undergoing clinically indicated EEG monitoring and seizure management.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Cohort
Critically ill child undergoing clinically indicated EEG monitoring and electrographic seizure management.
Clinically indicated EEG monitoring.
Children enrolled in the study will be undergoing clinically indicated EEG monitoring. Some children will undergo clinically indicated electrographic seizure management.
Interventions
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Clinically indicated EEG monitoring.
Children enrolled in the study will be undergoing clinically indicated EEG monitoring. Some children will undergo clinically indicated electrographic seizure management.
Eligibility Criteria
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Inclusion Criteria
2. Clinically indicated continuous EEG monitoring.
3. Age \> 1 month to 18 years.
Exclusion Criteria
2. Intensivist expects to discontinue technological support in the next two days given underlying medical or neurological problems.
1 Month
18 Years
ALL
No
Sponsors
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National Institute of Neurological Disorders and Stroke (NINDS)
NIH
Children's Hospital of Philadelphia
OTHER
Responsible Party
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Principal Investigators
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Nicholas S Abend, MD
Role: PRINCIPAL_INVESTIGATOR
Children's Hospital of Philadelphia
Locations
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Children's Hospital of Philadelphia
Philadelphia, Pennsylvania, United States
Countries
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Central Contacts
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Facility Contacts
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Nichoals S Abend, MD
Role: primary
References
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Fung FW, Jacobwitz M, Vala L, Parikh D, Donnelly M, Xiao R, Topjian AA, Abend NS. Electroencephalographic seizures in critically ill children: Management and adverse events. Epilepsia. 2019 Oct;60(10):2095-2104. doi: 10.1111/epi.16341. Epub 2019 Sep 20.
Fung FW, Jacobwitz M, Parikh DS, Vala L, Donnelly M, Fan J, Xiao R, Topjian AA, Abend NS. Development of a model to predict electroencephalographic seizures in critically ill children. Epilepsia. 2020 Mar;61(3):498-508. doi: 10.1111/epi.16448. Epub 2020 Feb 20.
Fung FW, Parikh DS, Donnelly M, Xiao R, Topjian AA, Abend NS. Electrographic Seizure Characteristics and Electrographic Status Epilepticus Prediction. J Clin Neurophysiol. 2025 Jan 1;42(1):64-72. doi: 10.1097/WNP.0000000000001068. Epub 2024 Jan 9.
Fung FW, Parikh DS, Massey SL, Fitzgerald MP, Vala L, Donnelly M, Jacobwitz M, Kessler SK, Xiao R, Topjian AA, Abend NS. Periodic Discharges in Critically Ill Children: Predictors and Outcome. J Clin Neurophysiol. 2024 May 1;41(4):297-304. doi: 10.1097/WNP.0000000000000986. Epub 2023 Dec 1.
Fung FW, Parikh DS, Donnelly M, Jacobwitz M, Topjian AA, Xiao R, Abend NS. EEG Monitoring in Critically Ill Children: Establishing High-Yield Subgroups. J Clin Neurophysiol. 2024 May 1;41(4):305-311. doi: 10.1097/WNP.0000000000000995. Epub 2023 Mar 8.
Fung FW, Fan J, Parikh DS, Vala L, Donnelly M, Jacobwitz M, Topjian AA, Xiao R, Abend NS. Validation of a Model for Targeted EEG Monitoring Duration in Critically Ill Children. J Clin Neurophysiol. 2023 Nov 1;40(7):589-599. doi: 10.1097/WNP.0000000000000940. Epub 2022 Apr 20.
Fung FW, Parikh DS, Massey SL, Fitzgerald MP, Vala L, Donnelly M, Jacobwitz M, Kessler SK, Topjian AA, Abend NS. Periodic and rhythmic patterns in critically ill children: Incidence, interrater agreement, and seizures. Epilepsia. 2021 Dec;62(12):2955-2967. doi: 10.1111/epi.17068. Epub 2021 Oct 12.
Fung FW, Wang Z, Parikh DS, Jacobwitz M, Vala L, Donnelly M, Topjian AA, Xiao R, Abend NS. Electrographic Seizures and Outcome in Critically Ill Children. Neurology. 2021 May 31;96(22):e2749-e2760. doi: 10.1212/WNL.0000000000012032.
Fung FW, Parikh DS, Jacobwitz M, Vala L, Donnelly M, Wang Z, Xiao R, Topjian AA, Abend NS. Validation of a model to predict electroencephalographic seizures in critically ill children. Epilepsia. 2020 Dec;61(12):2754-2762. doi: 10.1111/epi.16724. Epub 2020 Oct 16.
Fung FW, Fan J, Vala L, Jacobwitz M, Parikh DS, Donnelly M, Topjian AA, Xiao R, Abend NS. EEG monitoring duration to identify electroencephalographic seizures in critically ill children. Neurology. 2020 Sep 15;95(11):e1599-e1608. doi: 10.1212/WNL.0000000000010421. Epub 2020 Jul 20.
Other Identifiers
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17-013808
Identifier Type: -
Identifier Source: org_study_id
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