Intervention Time and Adverse Events in a Canadian Epilepsy Monitoring Unit.


Journal

The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques
ISSN: 0317-1671
Titre abrégé: Can J Neurol Sci
Pays: England
ID NLM: 0415227

Informations de publication

Date de publication:
09 2021
Historique:
pubmed: 15 12 2020
medline: 21 10 2021
entrez: 14 12 2020
Statut: ppublish

Résumé

Intervention time (IT) in response to seizures and adverse events (AEs) have emerged as key elements in epilepsy monitoring unit (EMU) management. We performed an audit of our EMU, focusing on IT and AEs. We performed a retrospective study on all clinical seizures of admissions over a 1-year period at our Canadian academic tertiary care center's EMU. This EMU was divided in two subunits: a daytime three-bed epilepsy department subunit (EDU) supervised by EEG technicians and a three-bed neurology ward subunit (NWU) equipped with video-EEG where patients were transferred to for nights and weekends, under nursing supervision. Among 124 admissions, 58 were analyzed. A total of 1293 seizures were reviewed to determine intervention occurrence, IT, and AE occurrence. Seizures occurring when the staff was present at bedside at seizure onset were analyzed separately. Median IT was 21.0 (11.0-40.8) s. The EDU, bilateral tonic-clonic seizures (BTCS), and the presence of a warning signal were associated with increased odds of an intervention taking place. The NWU, BTCS, and seizure rank (seizures were chronologically ordered by the patient for each subunit) were associated with longer ITs. Bedside staff presence rate was higher in the EDU than in the NWU (p < 0.001). AEs occurred in 19% of admissions, with no difference between subunits. AEs were more frequent in BTCS than in other seizure types (p = 0.001). This study suggests that close monitoring by trained staff members dedicated to EMU patients is key to optimize safety. AE rate was high, warranting corrective measures.

Sections du résumé

BACKGROUND
Intervention time (IT) in response to seizures and adverse events (AEs) have emerged as key elements in epilepsy monitoring unit (EMU) management. We performed an audit of our EMU, focusing on IT and AEs.
METHODS
We performed a retrospective study on all clinical seizures of admissions over a 1-year period at our Canadian academic tertiary care center's EMU. This EMU was divided in two subunits: a daytime three-bed epilepsy department subunit (EDU) supervised by EEG technicians and a three-bed neurology ward subunit (NWU) equipped with video-EEG where patients were transferred to for nights and weekends, under nursing supervision. Among 124 admissions, 58 were analyzed. A total of 1293 seizures were reviewed to determine intervention occurrence, IT, and AE occurrence. Seizures occurring when the staff was present at bedside at seizure onset were analyzed separately.
RESULTS
Median IT was 21.0 (11.0-40.8) s. The EDU, bilateral tonic-clonic seizures (BTCS), and the presence of a warning signal were associated with increased odds of an intervention taking place. The NWU, BTCS, and seizure rank (seizures were chronologically ordered by the patient for each subunit) were associated with longer ITs. Bedside staff presence rate was higher in the EDU than in the NWU (p < 0.001). AEs occurred in 19% of admissions, with no difference between subunits. AEs were more frequent in BTCS than in other seizure types (p = 0.001).
CONCLUSION
This study suggests that close monitoring by trained staff members dedicated to EMU patients is key to optimize safety. AE rate was high, warranting corrective measures.

Identifiants

pubmed: 33308345
pii: S0317167120002681
doi: 10.1017/cjn.2020.268
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

640-647

Auteurs

Jimmy Li (J)

Neurosciences Department, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

Dènahin Hinnoutondji Toffa (DH)

Neurosciences Department, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Neurology Division, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

Elie Bou Assi (E)

Neurosciences Department, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

Sepehr Mehrpouyan (S)

Neurosciences Department, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

Julie Forand (J)

Neurology Division, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

Manon Robert (M)

Neurosciences Department, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

Mark Keezer (M)

Neurosciences Department, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Neurology Division, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

Adrien Flahault (A)

Nephrology Division, Sainte-Justine Research Center, Montreal, QC, Canada.

Dang Khoa Nguyen (DK)

Neurosciences Department, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Neurology Division, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

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