Diagnostic Value of Smartphone Video in Epileptic Seizures

October 7, 2022 updated by: Hend Mohamed abd el Moez Eissa, Assiut University

Assessment of the Predictive Value of Outpatient Smartphone Videos in Diagnosis of Epileptic Seizures

  1. Accuracy of seizure diagnosis based on smartphone seizure semiology anaysis
  2. Assess the factors that affect the diagnostic reliability of smartphone videos

Study Overview

Status

Not yet recruiting

Intervention / Treatment

Detailed Description

E pilepsy has a substantial global burden of disease.1 Diagnosis is made clinically based on a historical recount of witnessed events and a laboratory assessment. Differential diagnosis for seizures is broad. Even seasoned clinicians can be misled when individuals lack medical knowledge or pertinent terminology to accurately represent witnessed seizure behavior.2Video electroencephalogram (EEG) monitoring (VEM) is recommended when there is diagnostic uncertainty in classifying seizure type or epilepsy syndrome.3 Video EEG monitoring provides objective evidence for definitive diagnosis4 ;Additionally, VEM may not be practical for some patients because of relative infrequency of events Geographic limitations, transportation constraints, and insurance coverage may also restrict access.2,4 While VEM is the criterion standard for seizure diagnosis, web-based smartphone use has become a popular means to augment clinical practice involving seizure reporting by people with epilepsy. However, smartphone videos are not recorded in a controlled environment in which the clinicians themselves are able to define when and how each spell is to be recorded,. As such, there are issues of focus, lighting, duration, and initiation that must be considered when interpreting homemade smartphone video recordings obtained by a lay population of caregivers to evaluate people with seizures on the other hand, it has been proven that discriminating seizure's semiology is a learned skill and requires specific neurologic training 11We hypothesize that outpatient smartphone videos predictive value in patients referred for evaluation of epilepsy is variable and depends on multiple factors such as seizure semiology, and interpreting physician . on the other hand, there is no consensus on quality standards and safety recommendation of smartphone videos.

Study Type

Observational

Enrollment (Anticipated)

84

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Reda El badry/Mohamed Ahmed Abd El rasoul/Abd El hameed, Prof. Dr./ Prof. Dr
  • Phone Number: 01008336450 /01002629734

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
  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

prospective study evaluated adult outpatient smartphone videos Study participants were outpatients referred with events that could have or could not have been epileptic seizures for elective evaluation. We prospectively collected consecutive patients who presented for evaluation of seizure-like episodes Patients who were included were those who had an interpretable smartphone video of the event in question and who eventually completed EEG-video monitoring . All patients included in the final analysis signed a consent form upon admission to the video-EEG that included an agreement statement. smartphone Videos were reviewed by general neurologist and epileptogist each separately The smartphone diagnosis was then compared to the eventual diagnosis based on the gold standard video-EEG monitoring. Each interpretation will be done blinded

Description

Inclusion Criteria:

  1. Patients were included in the study at any age
  2. provided voluntary consent, completed an HP,
  3. submitted an outpatient smartphone video of their primary ictal event, underwent inpatient VEM,

Exclusion Criteria:

  1. Patients were exclude, pregnant women
  2. had an incomplete/absent HP, had no smartphone video,
  3. did not undergo VEM, had a confirmed history of mixed epileptic and nonepileptic events (based on prior VEM), declined study participation, or did not provide informed consent

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
Assessment of the predictive value of outpatient smartphone videos in diagnosis of epileptic seizures
Time Frame: 1 year
Measures of performance (accuracy, sensitivity, specificity, positive predictive value, and negative predictive value) for smartphone video-based diagnosis by general neurologist and epileptogist (the index test) were compared with those for history and physical examination and video electroencephalogram monitoring (the reference standard).
1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Assessment of the predictive value of outpatient smartphone videos in diagnosis of epileptic seizures
Time Frame: 1year
descriptive analysis of factors affecting quality of smartphone videos
1year

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Hend Mohamed Abd El moez, Assiut University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

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 (Anticipated)

October 20, 2022

Primary Completion (Anticipated)

October 20, 2022

Study Completion (Anticipated)

October 20, 2023

Study Registration Dates

First Submitted

October 7, 2022

First Submitted That Met QC Criteria

October 7, 2022

First Posted (Actual)

October 10, 2022

Study Record Updates

Last Update Posted (Actual)

October 10, 2022

Last Update Submitted That Met QC Criteria

October 7, 2022

Last Verified

August 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • Smartphone in epilepsy

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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