An observational study in Value of Smartphone in Epilepsy, sponsored by Assiut University. Status unknown. Per ClinicalTrials.gov, last updated 2022-10-10.
Sponsored by Assiut University · Observational
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.
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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
Exclusion Criteria:
review of the smartphone video on patients phone by general neurologist and epileptogist each separately with comment on onquality of video using videoquality scale(10), semiology, seizure diagnosis
Assessment of the predictive value of outpatient smartphone videos in diagnosis of epileptic seizures
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).
Time frame: 1 year
Assessment of the predictive value of outpatient smartphone videos in diagnosis of epileptic seizures
descriptive analysis of factors affecting quality of smartphone videos
Time frame: 1year
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This study is status unknown, as verified in Aug 2022. You cannot join it, but the record below documents what was studied.
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Assiut University