Literature DB >> 25041095

Yield of epileptiform electroencephalogram abnormalities in incident unprovoked seizures: a population-based study.

Elisa Baldin1, W Allen Hauser, Jeffrey R Buchhalter, Dale C Hesdorffer, Ruth Ottman.   

Abstract

OBJECTIVE: The yield of epileptiform abnormalities in serial electroencephalography (EEG) studies has not been addressed in a population-based setting for subjects with incident epilepsy or a single unprovoked seizure, raising the possibility of methodologic limitations such as selection bias. Our aim was to address these limitations by assessing the yield and predictors of epileptiform abnormalities for the first and subsequent EEG recording in a study of incident epilepsy or single unprovoked seizure in Rochester, Minnesota.
METHODS: We used the resources of the Rochester Epidemiology Project to identify all 619 residents of Rochester, Minnesota, born in 1920 or later with a diagnosis of incident epilepsy (n = 478) or single unprovoked seizure (n = 141) between 1960 and 1994, who had at least one EEG study. Information on all EEG studies and their results was obtained by comprehensive review of medical records.
RESULTS: Among subjects with epilepsy, the cumulative yield of epileptiform abnormalities was 53% after the first EEG study and 72% after the third. Among subjects with a single unprovoked seizure, the cumulative yield was 39% after the first EEG study and 68% after the third. Young age at diagnosis and idiopathic etiology were risk factors for finding epileptiform abnormalities across all EEG recordings. SIGNIFICANCE: Although the cumulative yield of epileptiform abnormalities increases over successive EEG recordings, there is a decrease in the increment for each additional EEG study after the first EEG study. This is most evident in incident epilepsy and in younger subjects. Clinically it may be worthwhile to consider that the probability of finding an epileptiform abnormality after the third nonepileptiform EEG recording is low. Wiley Periodicals, Inc.
© 2014 International League Against Epilepsy.

Entities:  

Keywords:  Electroencephalography; Epidemiology; Epilepsy; Epileptiform abnormality; Population-based

Mesh:

Year:  2014        PMID: 25041095      PMCID: PMC4167205          DOI: 10.1111/epi.12720

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


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  17 in total

1.  Routine Versus Extended Outpatient EEG: Too Short, Too Long, or Just Right?

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Journal:  Epilepsy Curr       Date:  2016 Nov-Dec       Impact factor: 7.500

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Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

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Authors:  Elisa Baldin; W A Hauser; Jeffrey R Buchhalter; Dale C Hesdorffer; Ruth Ottman
Journal:  J Clin Neurophysiol       Date:  2017-11       Impact factor: 2.177

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5.  The clinical utility of non-invasive video-electroencephalographic monitoring has been diversifying.

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Journal:  Neurol Sci       Date:  2019-08-08       Impact factor: 3.307

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Authors:  Bernd J Vorderwülbecke; Britta Wandschneider; Yvonne Weber; Martin Holtkamp
Journal:  Nat Rev Neurol       Date:  2021-11-26       Impact factor: 42.937

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