Risk assessment of long-term epilepsy after de novo status epilepticus with clinical and electroencephalographic biomarkers: The AFTER score.


Journal

Epilepsy & behavior : E&B
ISSN: 1525-5069
Titre abrégé: Epilepsy Behav
Pays: United States
ID NLM: 100892858

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 16 08 2023
revised: 18 10 2023
accepted: 06 11 2023
medline: 11 12 2023
pubmed: 24 11 2023
entrez: 23 11 2023
Statut: ppublish

Résumé

The risk of developing epilepsy after de novo status epilepticus (SE) is nonnegligible. The individualized management of patients with high risk of subsequent epilepsy could improve long-term quality of life and cognitive impairment. We aimed to ascertain potential biomarkers of subsequent epilepsy and to construct a scoring system possessing predictive value for the diagnosis of post-SE epilepsy during follow-up. The study data were obtained from a prospective registry of all SE episodes occurring in patients over 16 years attended in our tertiary center from February 2011 to April 2022. Clinical data, electroencephalography findings, treatment, and long-term clinical data were prospectively recorded. We selected SE patients at risk of developing epilepsy (acute symptomatic and cryptogenic etiologies with no previous history of epilepsy) and analyzed the risk of developing subsequent epilepsy. We included 230 patients. Median age was 65 years ± 16.9 SD and 112/230 (48.7 %) were women. One-hundred ninety-eight patients (86.1 %) had an acute symptomatic SE, whereas 32 patients (13.9 %) presented with a cryptogenic SE. A total of 55 patients (23.9 %) developed an unprovoked remote seizure and were diagnosed with epilepsy. After adjusting for identifiable confounders in a multivariable Cox regression analysis cryptogenic etiology (HR 2.24 [1.13-4.46], p = 0.022), first-line treatment initiation ≥1 h (HR 2.12 [1.03-4.36], p = 0.041], RDA/LPD/GPD EEG patterns (HR 1.88 [1.07-3.32], p = 0.028), and super-refractoriness (HR 2.90 [1.40-5.99], p = 0.004) emerged as independent predictors of post-SE epilepsy. Based on these findings, we constructed the AFTER score (1 point for each item) with a robust capability to predict post-SE epilepsy at 5 years (AUC 74.3 %, 95 %CI 64.3-84.3 %, p < 0.001). The AFTER score is a robust predictor of the development of epilepsy after new onset SE using clinical and electroencephalographic biomarkers (such as etiology, time to first-line treatment initiation, EEG pattern and super-refractoriness). Prospective studies are warranted to validate the score in other populations.

Sections du résumé

BACKGROUND BACKGROUND
The risk of developing epilepsy after de novo status epilepticus (SE) is nonnegligible. The individualized management of patients with high risk of subsequent epilepsy could improve long-term quality of life and cognitive impairment. We aimed to ascertain potential biomarkers of subsequent epilepsy and to construct a scoring system possessing predictive value for the diagnosis of post-SE epilepsy during follow-up.
METHODS METHODS
The study data were obtained from a prospective registry of all SE episodes occurring in patients over 16 years attended in our tertiary center from February 2011 to April 2022. Clinical data, electroencephalography findings, treatment, and long-term clinical data were prospectively recorded. We selected SE patients at risk of developing epilepsy (acute symptomatic and cryptogenic etiologies with no previous history of epilepsy) and analyzed the risk of developing subsequent epilepsy.
RESULTS RESULTS
We included 230 patients. Median age was 65 years ± 16.9 SD and 112/230 (48.7 %) were women. One-hundred ninety-eight patients (86.1 %) had an acute symptomatic SE, whereas 32 patients (13.9 %) presented with a cryptogenic SE. A total of 55 patients (23.9 %) developed an unprovoked remote seizure and were diagnosed with epilepsy. After adjusting for identifiable confounders in a multivariable Cox regression analysis cryptogenic etiology (HR 2.24 [1.13-4.46], p = 0.022), first-line treatment initiation ≥1 h (HR 2.12 [1.03-4.36], p = 0.041], RDA/LPD/GPD EEG patterns (HR 1.88 [1.07-3.32], p = 0.028), and super-refractoriness (HR 2.90 [1.40-5.99], p = 0.004) emerged as independent predictors of post-SE epilepsy. Based on these findings, we constructed the AFTER score (1 point for each item) with a robust capability to predict post-SE epilepsy at 5 years (AUC 74.3 %, 95 %CI 64.3-84.3 %, p < 0.001).
CONCLUSIONS CONCLUSIONS
The AFTER score is a robust predictor of the development of epilepsy after new onset SE using clinical and electroencephalographic biomarkers (such as etiology, time to first-line treatment initiation, EEG pattern and super-refractoriness). Prospective studies are warranted to validate the score in other populations.

Identifiants

pubmed: 37995538
pii: S1525-5050(23)00450-X
doi: 10.1016/j.yebeh.2023.109531
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109531

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Marc Rodrigo-Gisbert (M)

Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.

Laura Abraira (L)

Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain. Electronic address: laura.abraira@vallhebron.cat.

Manuel Quintana (M)

Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.

Laura Gómez-Dabó (L)

Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.

Samuel López-Maza (S)

Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.

María Sueiras (M)

Neurophysiology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain.

Vanesa Thonon (V)

Neurophysiology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain.

Daniel Campos-Fernández (D)

Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.

Sofía Lallana (S)

Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.

Elena Fonseca (E)

Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.

Manuel Toledo (M)

Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.

Estevo Santamarina (E)

Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.

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Classifications MeSH