Affiliation:
1. Unit of Neurology, Department of Medicine and Surgery University of Parma Parma Italy
2. Unit of Neurology, University Hospital of Parma Parma Italy
3. Sleep Disorders Center, Department of Medicine and Surgery University of Parma Parma Italy
4. EEG and Epilepsy Unit, Department of Clinical Neurosciences University Hospital of Geneva Geneva Switzerland
5. Neuro‐Intensive Care Unit, Department of Intensive Care University Hospital of Geneva Geneva Switzerland
Abstract
AbstractObjectiveThis study was undertaken to investigate the association between the Salzburg nonconvulsive status epilepticus (NCSE) criteria and in‐hospital outcome, to determine the predictive accuracy of the Status Epilepticus Severity Score (STESS), modified STESS (mSTESS), Epidemiology‐Based Mortality Score in Status Epilepticus (EMSE), and END‐IT (encephalitis, NCSE, diazepam resistance, imaging features, and tracheal intubation) in NCSE patients, and to develop a new prognostic score specifically designed for NCSE patients.MethodsClinical and electroencephalographic (EEG) data of adult patients treated for NCSE from 2020 to 2023 were retrospectively assessed. Age, sex, modified Rankin Scale at admission, comorbidities, history of seizures, etiology, status epilepticus type, and outcome were collected from the patients' digital charts. EEG data were assessed and categorized applying the Salzburg NCSE criteria. In‐hospital death was defined as the primary outcome.ResultsA total of 116 NCSE patients were included. Multivariable logistic regression revealed that Salzburg NCSE criterion A2 (ictal morphological, spatial, and temporal evolution) was associated with in‐hospital survival. The best STESS cutoff was ≥4 (sensitivity = .62, specificity = .69, accuracy = 67%). mSTESS ≥ 5 reached a sensitivity of .68, a specificity of .57, and an overall accuracy of 60%, EMSE ≥ 64 a sensitivity of .82, a specificity of .39, and an overall accuracy of 52%, and END‐IT ≥ 3 a sensitivity of .65, a specificity of .44, and an overall accuracy of 50%. Through a hypothesis‐generating approach, we developed the SACE score, which integrates EEG features (criterion A2) with patient age (with a 75‐year cutoff), history of seizures, and level of consciousness. With a cutoff of ≥3, it had a sensitivity of .77, a specificity of .74, and an overall accuracy of 76%, performing better than other prognostic scores.SignificanceWe developed a new user‐friendly scoring system, the SACE score, which integrates EEG features with other established outcome‐related variables assessable in early stages, to assist neurologists and neurointensivists in making more tailored prognostic decisions for NCSE patients.
Subject
Neurology (clinical),Neurology