Psychiatric Comorbidities in Children With Generalized Epilepsy

January 4, 2024 updated by: Asmaa Gamal Hashem, Assiut University

Epilepsy is defined as a chronic disorder that presents with recurrent episodes of unprovoked seizures. Epileptic seizures are caused by excessive excitation of cortical neurons. The condition has various etiologies and comorbidities.

Classification;

The Classification of Epilepsies includes several diagnostic levels (steps):

  1. from seizure type to epilepsy type (generalized/focal/combined generalized and focal/unknown)
  2. etiology (genetic/ structural/ infectious/ metabolic/ immune/unknown). A clinician can use any level of the classification

Study Overview

Status

Not yet recruiting

Detailed Description

Epilepsy is defined as a chronic disorder that presents with recurrent episodes of unprovoked seizures. Epileptic seizures are caused by excessive excitation of cortical neurons. The condition has various etiologies and comorbidities Classification

The Classification of Epilepsies includes several diagnostic levels (steps):

  1. from seizure type to epilepsy type (generalized/focal/combined generalized and focal/unknown)
  2. etiology (genetic/ structural/ infectious/ metabolic/ immune/unknown). A clinician can use any level of the classification. Seizures are classified by the onset (focal, generalized or unknown). All types of seizures can be motor or nonmotor.

Focal seizure may evolve to bilateral tonic-clonic (previously called secondary-generalized). Atonic, clonic, tonic, myoclonic seizures and epileptic spasms can be either of focal or generalized onset.

Unclassified type of seizure was introduced. Most common psychiatric manifestations ; Common psychiatric disorders that have been reported among patients with un controlled generalized epilepsy include :

  1. Anxiety.
  2. Depression.
  3. Attention-deficit hyperactivity disorder.
  4. Autism. Psychological distress may be the strongest predictor of health-related quality of life, even including seizure frequency and severity , employment or driving status. Affective disorders are overrepresented in epilepsy, and people with epilepsy may be at risk of dropping out from school. The aim of the present study was to assess factors influencing high school dropout, anxiety, and depression in genetic generalized epilepsy (GGE). Potential predictors of high school dropout were analyzed with logistic regression. Having felt excluded because of epilepsy was significantly associated with high school dropout The issue of stigma in epilepsy must be thoroughly addressed in comprehensive care and may be as important as seizure control when it comes to education and quality of life Attention deficit is one of the most frequent symptoms in children with idiopathic generalized epilepsy (IGE).

However, it is unknown whether this is a global attention deficit or a deficit in a specific attention network. We used the attention network test (ANT) in children with IGE, who were not being treated with antiepileptic drugs (AEDs), to determine the efficiencies of three independent attention networks (alerting, orienting, and executive control). Children with IGE showed a significant deficit in their executive control network and in overall reaction time. However, they did not show any deficit in their alerting or orienting networks. These results suggest that IGE specifically affects the executive control network. Autism spectrum disorders (ASD) are neurodevelopmental disorders typically diagnosed in childhood, characterized by core social dysfunction, rigid and repetitive behaviors, restricted interests, and abnormal sensorial sensitivity. ASD associated with neurological conditions: the co-occurrence of epilepsy is well documented and there is also evidence of a higher prevalence of EEG abnormalities with 4-86% of individuals with ASD presenting epileptiform or not epileptiform EEG abnormalities. The presence of epilepsy in people with ASD may be determined by several structural alterations, genetic conditions, or metabolic dysfunctions, known to play a role in the emergence of both epilepsy and autis

Study Type

Observational

Enrollment (Estimated)

62

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

psychiatric comorbidities in children with generalized epilepsy

Description

Inclusion Criteria:

  1. Patients with generalized epilepsy either new or old ,controlled or un controlled .
  2. School aged patients (from 6 years to 17 years).
  3. Patients on anti epileptic treatment .
  4. Patients attending children's neurological unit .

Exclusion Criteria:

  1. - children with other types of epilepsy .
  2. -children with cerebral palsy.
  3. -children with neurodegenerative disease.
  4. -children with neurometabolic disease.
  5. -mentally retarded children.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Psychiatric comorbidities in children with generalized epilepsy
Time Frame: baseline

Measuring the prevalence of ADHD and Autism among children suffering from generalized epilepsy .All cases included in the study will be evaluated by:

  • full history including neurological history .
  • full examination including neurological examination .
  • Investigations:
  • EEG
  • ADHD Symptom Checklist-4 (ADHD-SC4( [8]
  • Gilliam Autism Rating scale ( GARS) [9]

Sample size calculation:

Based on determining the main outcome variable, the estimated minimum required total sample size is 62 participants .

Main outcome variable: to evaluate phsycatric complications among epilitic pediatric patients. based on previous study, (40%) and (11-30%) ADHD and Autisim In epilitic children respectively . [10-11] Main statistical test is chi square to detect the difference in percentage of physiatric disorders( ADHD and Autism) in the two groups . Alpha error = 0.05 Power = 0.80 Allocation ratio= 1 One tailed.

baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

December 30, 2023

Primary Completion (Estimated)

December 31, 2024

Study Completion (Estimated)

March 24, 2025

Study Registration Dates

First Submitted

November 20, 2023

First Submitted That Met QC Criteria

January 4, 2024

First Posted (Estimated)

January 8, 2024

Study Record Updates

Last Update Posted (Estimated)

January 8, 2024

Last Update Submitted That Met QC Criteria

January 4, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • psychiatric change in children

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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