Leveraging electronic patient diaries in SUDEP risk evaluation.
Journal
Epilepsy research
ISSN: 1872-6844
Titre abrégé: Epilepsy Res
Pays: Netherlands
ID NLM: 8703089
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
received:
26
10
2021
revised:
19
03
2022
accepted:
08
04
2022
pubmed:
19
4
2022
medline:
29
4
2022
entrez:
18
4
2022
Statut:
ppublish
Résumé
Our aim was to describe the risk factors known to be related to sudden unexpected death in epilepsy (SUDEP) that can be extracted from patients that utilizes an online seizure diary tool (SeizureTracker™). We conducted a descriptive analysis of SeizureTracker™ users across factors relevant to SUDEP risk. We also compared our app-using cohort to published SUDEP case-control studies. We report across seven risk factors from 30,813 users of SeizureTracker™ who had a median length of time using the app of 5.69 years (range from 1 month to 15 years). We found that they are at greater risk for SUDEP than groups from published studies (p < .00001) based on the risk factor of generalized tonic-clonic seizures. We demonstrated that the population using the SeizureTracker™ tool can be a valuable population for expanding investigation of SUDEP risk factors and is a first step towards establishing a large sample with a method to ascertain data prospectively that might be critical to developing a SUDEP risk algorithm.
Identifiants
pubmed: 35436674
pii: S0920-1211(22)00075-4
doi: 10.1016/j.eplepsyres.2022.106924
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
106924Informations de copyright
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