Evaluating the utility of inpatient video-EEG monitoring

Daniel F. Ghougassian, Wendyl D'Souza, Mark J. Cook, Terence J. O'Brien

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Abstract

Purpose: Inpatient video-EEG monitoring (VEM) is widely used for the diagnosis, seizure classification, and presurgical evaluation of patients with seizure disorders. It is resource intensive and relatively expensive, so its utility continues to be debated. Few studies have specifically evaluated the utility of inpatient VEM in altering diagnosis or management of patients with seizure disorders. We sought to assess the proportion of patients for whom the preadmission diagnosis and management were altered after inpatient VEM of patients admitted for diagnostic and presurgical evaluation of seizure disorders. Methods: Data from a consecutive cohort of patients admitted over a 3-year period to an inpatient VEM unit in a tertiary referral hospital were retrospectively analyzed. The preadmission diagnosis and management by the referring neurologist was compared with the diagnosis and management after the VEM. Results: Of 131 patients, 91 (70%) were admitted for diagnostic evaluation and 39 (30%) for a presurgical workup. Mean evaluative period was 5.6 days. Mean number of seizures recorded was 2.9. No seizures were recorded in 31% of patients. Interictal EEG showed epileptiform changes in 56 (43%). In 76 (58%), the diagnosis was altered as a result of the VEM, with the greatest change being an increase in the nonepileptic diagnosis group (7% to 31%) and the generalized diagnosis group (5% to 11%). Management was changed after the VEM in 95 (73%). Conclusions: The results of this study demonstrate that inpatient VEM has a high yield in changing diagnosis and management. Future long-term cost-benefit studies of the management changes resulting from VEM evaluation will aid in further reinforcing its role.

Original languageEnglish
Pages (from-to)928-932
Number of pages5
JournalEpilepsia
Volume45
Issue number8
DOIs
Publication statusPublished - 1 Aug 2004
Externally publishedYes

Keywords

  • Video-EEG monitoring-Epilepsy-Seizure classification

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