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REVIEW article

Front. Neurol.

Sec. Epilepsy

This article is part of the Research TopicStatus Epilepticus: Current Concepts and Future DirectionsView all articles

STATUS EPILEPTICUS: THE SCORE QUESTION Prognostic and risk-prediction scales in status epilepticus

Provisionally accepted
Francesco  MisirocchiFrancesco Misirocchi1Pia  De StefanoPia De Stefano2,3*
  • 1University Hospital of Parma, Parma, Italy
  • 2Universite de Geneve, Geneva, Switzerland
  • 3Hopitaux Universitaires Geneve, Geneva, Switzerland

The final, formatted version of the article will be published soon.

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: Status Epilepticus, Prognostic models, risk prediction, outcome assessment, artificial intelligence

Received: 09 Oct 2025; Accepted: 27 Nov 2025.

Copyright: © 2025 Misirocchi and De Stefano. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Pia De Stefano

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