Early point-of-care EEG in acute stroke: Prevalence and predictive factors of early post-stroke status epilepticus (e-PSSE)

This study highlights the critical role of early EEG assessment in detecting e-PSSE, with an incidence of 4.2 %. Moreover, our findings identify female sex, a history of CKD, higher NIHSS scores, hemorrhagic stroke, and the NLR as independent predictors of PSSE in the acute phase.

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Publication Details

Journal
Seizure
Published
2025-09-27
DOI
https://doi.org/10.1016/j.seizure.2025.09.016
Citations
2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.86

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article

Early point-of-care EEG in acute stroke: Prevalence and predictive factors of early post-stroke status epilepticus (e-PSSE)

Stefania Pavan, Laura Mancinelli, Paolo Manganotti, Giovanni Furlanis et al.
2 citations
Seizure
EEG and Brain-Computer Interfaces
2.86
article

Early point-of-care EEG in acute stroke: Prevalence and predictive factors of early post-stroke status epilepticus (e-PSSE)

Stefania Pavan, Laura Mancinelli, Paolo Manganotti, Giovanni Furlanis, Katerina Iscra, Giulia Mazzon, Marinella Tomaselli, Miloš Ajčević, Marcello Naccarato, Federica Palacino, Gabriele Prandin, Emanuele Vincis, Paola Caruso, Magda Quagliotto, G Fariña, E. Ricci, Michele Malesani
article en
2 citations

Abstract

This study highlights the critical role of early EEG assessment in detecting e-PSSE, with an incidence of 4.2 %. Moreover, our findings identify female sex, a history of CKD, higher NIHSS scores, hemorrhagic stroke, and the NLR as independent predictors of PSSE in the acute phase.

SeizureVol. 133
University of Trieste (IT), International School of Trieste (IT)
Regione Autonoma Friuli Venezia Giulia, European Social Fund
Openalex Percentile: Top 8%
EEG and Brain-Computer Interfaces
2.86
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Early point-of-care EEG in acute stroke: Prevalence and predictive factors of early post-stroke status epilepticus (e-PSSE) — Stefania Pavan, Laura Mancinelli, et al. · Seizure (2025) | TGRS Research Map | TGRS