EEG Abnormalities as Predictor of Outcome in Pediatric Encephalopathy

Electroencephalographic (EEG) Abnormalities as a Predictor of Poor Outcome in Pediatric Encephalopathy

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07825675

Enrollment

147

Registered

2026-09-17

Start date

2026-09-10

Completion date

2028-03-10

Last updated

2026-09-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Brain Diseases, Encephalopathy

Keywords

EEG, Pediatric encephalopathy, Prognosis, PCPC, Neurological outcome, Assiut

Brief summary

This prospective cohort study aims to evaluate the prognostic value of electroencephalographic (EEG) abnormalities in predicting poor clinical outcomes among children with encephalopathy admitted to Assiut University Children Hospital.

Detailed description

Pediatric encephalopathy has multiple etiologies and variable neurological outcomes. Early prognostic assessment is essential for clinical decision-making and family counseling. Electroencephalography (EEG) is a non-invasive tool that may help predict neurological outcome. This prospective observational study will include children aged 1 month to 18 years with clinical diagnosis of encephalopathy. EEG will be performed within the first 48 hours of admission. Neurological outcome will be assessed at hospital discharge using the Pediatric Cerebral Performance Category (PCPC) scale. A PCPC score of 1-2 will be considered good outcome and a score of ≥3 will be considered poor outcome.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

1 Months to 18 Years

Healthy volunteers

Inclusion criteria

* Age from 1 month to 18 years * Clinical diagnosis of encephalopathy with altered level of consciousness * EEG performed within the first 48 hours of admission * Written informed consent from parents or legal guardians

Exclusion criteria

* Neonatal encephalopathy * Children with severe pre-existing neurological disability * Known epileptic patients * Incomplete clinical or EEG data

Design outcomes

Primary

Measure	Time frame	Description
Poor neurological outcome at hospital discharge	at 30 days	Proportion of children with poor neurological outcome defined as Pediatric Cerebral Performance Category (PCPC) score ≥3 at hospital discharge.

Secondary

Measure	Time frame	Description
Frequency of EEG abnormalities	Within the first 48 hours of admission	Proportion of children with specific EEG abnormalities (diffuse background slowing, background suppression, burst suppression, absent reactivity, low-voltage activity, or electrographic seizures) recorded within the first 48 hours of admission.
Predictive performance of EEG abnormalities for poor outcome	at 30 days	Sensitivity, specificity, and predictive values of specific EEG abnormalities for poor neurological outcome (PCPC ≥3) at hospital discharge.
Mortality	at 30 days	Proportion of children who die during hospital stay.
Duration of PICU stay	at 30 days	Length of stay in the pediatric intensive care unit in days.

Contacts

CONTACTEsraa M Tamer, Resident

Esraa.17289969@med.aun.edu.eg+20 11 58780125

STUDY_CHAIRGamal A Asker, prof

Pediatrics Department, Assiut University Hospitals

Outcome results