Scientific article
Review
OA Policy
English

Status epilepticus : the score question

Published inFrontiers in neurology, vol. 16, 1721546
Publication date2025
First online date2025-12-09
Abstract

Status epilepticus (SE) is a heterogeneous neurological emergency associated with high morbidity and mortality. Multiple prognostic scores have been developed, most of which primarily focus on short-term mortality. The Status Epilepticus Severity Score (STESS) and the Epidemiology-Based Mortality Score in SE (EMSE) remain the most extensively validated tools, while more recent models have addressed specific subgroups, functional outcomes, long-term survival, epilepsy development, and recurrence risk. Despite these advances, the predictive performance of current scores remains limited, largely due to reliance on post-hoc or subjective variables, lack of universally applicable cut-offs, and limited external validity. Moreover, their integration into clinical algorithms is minimal, confining their use mainly to retrospective risk adjustment in research context. Emerging approaches based on artificial intelligence offer improved predictive performance, but their clinical applicability is hampered by several issues. Future SE models should balance feasibility with accuracy, integrate variables across different stages of SE care, and align with standardized SE definitions and management, to become clinically valuable tools able to guide individualized SE management.

Keywords
  • Artificial intelligence
  • Outcome assessment
  • Prognostic models
  • Risk prediction
  • Status epilepticus
Citation (ISO format)
MISIROCCHI, Francesco, DE STEFANO, Pia. Status epilepticus : the score question. In: Frontiers in neurology, 2025, vol. 16, p. 1721546. doi: 10.3389/fneur.2025.1721546
Main files (1)
Article (Published version)
Identifiers
Journal ISSN1664-2295
8views
215downloads

Technical informations

Creation28/01/2026 15:25:29
First validation04/02/2026 14:23:15
Update04/02/2026 14:23:15
Status update04/02/2026 14:23:15
Last indexation04/02/2026 14:23:16
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack