Prognostic factors and impact of management strategies for status epilepticus: The STEPPER study in the Emilia-Romagna region, Italy.

Objective: The STEPPER (Status Epilepticus in Emilia-Romagna) study aimed to investigate the clinical characteristics, prognostic factors, and treatment approaches of status epilepticus (SE) in adults of the Emilia-Romagna region (ERR), Northern Italy.

Methods: STEPPER, an observational, prospective, multicentric cohort study, was conducted across neurology units, emergency departments, and intensive care units of the ERR over 24 months (October 2019-October 2021), encompassing incident cases of SE. Patients were followed up for 30 days.

Progression to refractory status epilepticus: A machine learning analysis by means of classification and regression tree analysis.

Background And Objectives: to identify predictors of progression to refractory status epilepticus (RSE) using a machine learning technique.

Methods: Consecutive patients aged ≥ 14 years with SE registered in a 9-years period at Modena Academic Hospital were included in the analysis. We evaluated the risk of progression to RSE using logistic regression and a machine learning analysis by means of classification and regression tree analysis (CART) to develop a predictive model of progression to RSE.

Prediction of epilepsy after stroke: Proposal of a modified SeLECT 2.0 score based on posttreatment stroke outcome.

Objective: The SeLECT 2.0 score is a prognostic model of epilepsy after ischemic stroke. We explored whether replacing the severity of stroke at admission with the severity of stroke after treatment at 72 h from onset could improve the predictive accuracy of the score.

Late-onset temporal lobe epilepsy: insights from brain atrophy and Alzheimer's disease biomarkers.

Considering the growing age of the world population, the incidence of epilepsy in older adults is expected to increase significantly. It has been suggested that late-onset temporal lobe epilepsy (LO-TLE) may be neurodegenerative in origin and overlap with Alzheimer's Disease (AD). Herein, we aimed to characterize the pattern of cortical atrophy and cerebrospinal fluid (CSF) biomarkers of AD (total and phosphorylated tau, and β-amyloid) in a selected population of LO-TLE of unknown origin.

Futile recanalization is associated with increased risk of post-stroke epilepsy.

Background: Endovascular treatment (EVT) is the standard of care of ischaemic stroke due to occlusion of large vessels. Although EVT can significantly improve short- and long-term outcomes, functional dependence can persist despite the achievement of a successful recanalization. The evidence about the predictors of post-stroke epilepsy (PSE) in patients with stroke treated by EVT is limited.

FADD gene pathogenic variants causing recurrent febrile infection-related epilepsy syndrome: Case report and literature review.

FIRES and NORSE are clinical presentations of disease processes that, to date, remain unexplained without an established etiology in many cases. Neuroinflammation is thought to have paramount importance in the genesis of these conditions. We hereby report the clinical, EEG, brain MRI, and genetic findings of a nuclear family with recurrent febrile-related encephalopathy with refractory de novo Status Epilepticus.

PSYCHOACOUSTICS-WEB: A free online tool for the estimation of auditory thresholds.

PSYCHOACOUSTICS-WEB is an online tool written in JavaScript and PHP that enables the estimation of auditory sensory thresholds via adaptive threshold tracking. The toolbox implements the transformed up-down methods proposed by Levitt (Journal of the Acoustical Society of America, 49, 467-477, (1971) for a set of classic psychoacoustical tasks: frequency, intensity, and duration discrimination of pure tones; duration discrimination and gap detection of noise; and amplitude modulation detection with noise carriers. The toolbox can be used through a common web browser; it works with both fixed and mobile devices, and requires no programming skills.

Botulinum neurotoxin as early treatment in acute-onset lesional hemiballism.

Background: Hemiballism (HB) and hemichorea (HC) are the most frequent secondary movement disorders, usually caused by cerebrovascular diseases. In only a minority of cases, these involuntary movements are not self-limited, and they may severely compromise patients' quality of life, so that symptomatic treatments are required. Typical and atypical neuroleptics as well as tetrabenazine are considered therapies of choice.

The Role of Early Intubation in Status Epilepticus with Out-of-Hospital Onset: A Large Prospective Observational Study.

this study aimed to evaluate the role of early airway management and intubation in status epilepticus (SE) with out-of-hospital onset. We included all patients with out-of-hospital SE onset referred to the emergency department of the Academic Hospital of Modena between 2013 and 2021. Patients were compared according to out-of-hospital airway management (intubation versus non-intubation) and a propensity score was performed for clinical variables unevenly distributed between the two groups.

The risk of unprovoked seizure occurrence after status epilepticus in adults.

Objective: Status epilepticus (SE) may lead to long-term consequences. This study evaluated the risk and predictors of seizure occurrence after SE, with a focus on SE due to acute symptomatic etiologies.

Methods: Prospectively collected data about adults surviving a first non-hypoxic SE were reviewed.

Remote seizures and drug-resistant epilepsy after a first status epilepticus in adults.

Background And Purpose: Long-term consequences after status epilepticus (SE) represent an unsettled issue. We investigated the incidence of remote unprovoked seizures (RS) and drug-resistant epilepsy (DRE) in a cohort of first-ever SE survivors.

Methods: A retrospective, observational, and monocentric study was conducted on adult patients (age ≥ 14 years) with first SE who were consecutively admitted to the Modena Academic Hospital, Italy (September 2013-March 2022).

The Epilepsy Surgery Satisfaction Questionnaire (ESSQ-19): Italian language translation and validation.

Objective: Epilepsy surgery can be proposed as a treatment option in people with focal epilepsy, however satisfaction with epilepsy surgery in Italy remains unknown. We aimed to validate in Italy an instrument to measure patient satisfaction with epilepsy surgery, the 19-item Epilepsy Surgery Satisfaction Questionnaire (ESSQ-19).

Methods: Consecutive patients with epilepsy who received epilepsy surgery between the years 2018-2021 at Modena Academic Hospital were recruited and provided clinical and demographic data.

The role of the amygdala in ictal central apnea: insights from brain MRI morphometry.

Objective: Ictal central apnea (ICA) is a frequent correlate of focal seizures, particularly in temporal lobe epilepsy (TLE), and regarded as a potential electroclinical biomarker of sudden unexpected death in epilepsy (SUDEP). Aims of this study are to investigate morphometric changes of subcortical structures in ICA patients and to find neuroimaging biomarkers of ICA in patients with focal epilepsy.

Methods: We prospectively recruited focal epilepsy patients with recorded seizures during a video-EEG long-term monitoring with cardiorespiratory polygraphic recordings from April 2020 to September 2022.

Comparison of the status epilepticus severity score and the epidemiology-based mortality score in predicting 30-day mortality and status epilepticus cessation.

Objective: To evaluate the role of the Status Epilepticus Severity Score (STESS) and the Epidemiology-based Mortality score (EMSE) in predicting 30-day mortality and SE (Status epilepticus) cessation, and their prognostic performance in subgroups of patients with specific characteristics.

Methods: We reviewed consecutive episodes of SE occurring in patients aged ≥14 years at Baggiovara Civil Hospital (Modena, Italy) from 2013 to 2021. We evaluated the predictive accuracy of EMSE and STESS for 30-day mortality and SE cessation through stepwise regression binary logistic models adjusted for possible univariate clinical confounders.

Acute symptomatic status epilepticus: Splitting or lumping? A proposal of classification based on real-world data.

This study aimed to group acute symptomatic etiologies of consecutive episodes of status epilepticus (SE) into different subcategories and explore their associations with clinical outcome. Etiologies were first categorized as "acute," "remote," "progressive," "SE in defined electroclinical syndromes," and "unknown." Four subcategories of acute etiologies were then defined: (1) withdrawal, low levels, or inappropriate prescription of antiseizure medications, or sleep deprivation in patients with pre-existing epilepsy; (2) acute insults to central nervous system (CNS; "acute-primary CNS"); (3) CNS pathology secondary to metabolic disturbances, systemic infection, or fever ("acute-secondary CNS"); and (4) drug/alcohol intoxication or withdrawal.

How much refractory is 'refractory status epilepticus'? A retrospective study of treatment strategies and clinical outcomes.

Background And Purpose: This study aimed to evaluate whether differences in clinical outcomes exist according to treatments received and seizure activity resolution in patients with refractory status epilepticus (RSE).

Methods: Consecutive episodes of non-hypoxic status epilepticus (SE) in patients ≥ 14 years old were included. Episodes of RSE were stratified in: (i) SE persistent despite treatment with first-line therapy with benzodiazepines and one second-line treatment with antiseizure medications (ASMs), but responsive to successive treatments with ASMs (RSE-rASMs); (ii) SE persistent despite treatment with first-line therapy with benzodiazepines and successive treatment with one or more second-line ASMs, but responsive to anesthetic drugs [RSE-rGA (general anesthesia)].

Exploring the relationship between amygdala subnuclei volumes and cognitive performance in left-lateralized temporal lobe epilepsy with and without hippocampal sclerosis.

Cognitive disruption is a debilitating comorbidity in Temporal Lobe Epilepsy (TLE). Despite recent advances, the amygdala is often neglected in studies that explore cognition in TLE. Amygdala subnuclei are differently engaged in TLE with hippocampal sclerosis (TLE-HS) compared to non-lesional TLE (TLE-MRIneg), with predominant atrophy in the first and increased volume in the latter.

Electrographic seizure duration and inter-seizure intervals in focal status epilepticus.

Objective: To characterize the duration of seizures and inter-seizure intervals in focal status epilepticus (SE).

Methods: We reviewed consecutive scalp EEG recordings from adult patients who were admitted for a first episode of focal status epilepticus. We identified electrographic seizure duration and inter-seizure intervals in the first diagnostic pretreatment EEG.

A retrospective multicentric study on the effectiveness of intravenous brivaracetam in seizure clusters: Data from the Italian experience.

Objective: Nearly half of people with epilepsy (PWE) are expected to develop seizure clusters (SC), with the subsequent risk of hospitalization. The aim of the present study was to evaluate the use, effectiveness and safety of intravenous (IV) brivaracetam (BRV) in the treatment of SC.

Methods: Retrospective multicentric study of patients with SC (≥ 2 seizures/24 h) who received IV BRV.

Impact of an optimized epilepsy surgery imaging protocol for focal epilepsy: A monocentric prospective study.

Objective: To evaluate in a real clinical scenario the impact of the ILAE-recommended "Harmonized neuroimaging of epilepsy structural sequences"- HARNESS protocol in patients affected by focal epilepsy.

Methods: We prospectively enrolled focal epilepsy patients who underwent a structural brain MRI between 2020 and 2021 at Modena University Hospital. For all patients, MRIs were: (a) acquired according to the HARNESS-MRI protocol (H-MRI); (b) reviewed by the same neuroradiology team.

Neuro-glial degeneration in Status Epilepticus: Exploring the role of serum levels of Neurofilament light chains and S100B as prognostic biomarkers for short-term functional outcome.

Background: The last ILAE definition of Status Epilepticus (SE) highlights that the persistence of the epileptic activity per se could determine irreversible brain damages that could be responsible for long-term consequences. The measurement of neuro-glial injury biomarkers could help in the identification of those patients who will eventually develop short- and long-term consequences of SE. At present none of the already studied biomarkers has been validated to be used in everyday clinical practice.

Predicting the progression to super-refractory status epilepticus: A machine-learning study.

Aim: Super-refractory status epilepticus (SRSE) is a status epilepticus (SE) that continues or recurs ≥24 h after the onset of anesthesia. We aimed to identify the predictors of progression to SRSE and the risk of 30-day mortality in patients with SRSE by using a machine learning technique.

Methods: We reviewed consecutive SE episodes in patients aged ≥14 years at Baggiovara Civil Hospital (Modena, Italy) from 2013 to 2021.

Retrospective External Validation of the Status Epilepticus Severity Score (STESS) to Predict In-hospital Mortality in Adults with Nonhypoxic Status Epilepticus: A Machine Learning Analysis.

Background: The objective of this study was to validate the value of the Status Epilepticus Severity Score (STESS) in the prediction of the risk of in-hospital mortality in patients with nonhypoxic status epilepticus (SE) using a machine learning analysis.

Methods: We included consecutive patients with nonhypoxic SE (aged ≥ 16 years) admitted from 2013 to 2021 at the Modena Academic Hospital. A decision tree analysis was performed using in-hospital mortality as a dependent variable and the STESS predictors as input variables.

Machine learning validation through decision tree analysis of the Epidemiology-Based Mortality Score in Status Epilepticus.

Objective: This study was undertaken to validate the accuracy of the Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) in predicting the risk of death at 30 days in a large cohort of patients with status epilepticus (SE) using a machine learning system.

Methods: We included consecutive patients with SE admitted from 2013 to 2021 at Modena Academic Hospital. A decision tree analysis was performed using the 30-day mortality as a dependent variable and the EMSE predictors as input variables.

Development and Validation of a Nomogram Based on the Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) Parameters to Predict 30-day Mortality in Status Epilepticus.

Background: To develop a nomogram using the parameters of the Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) and to evaluate its accuracy compared with the EMSE alone in the prediction of 30-day mortality in patients with status epilepticus (SE).

Methods: We included a cohort of patients with SE aged ≥ 21 years admitted from 2013 to 2021. Regression coefficients from the multivariable logistic regression model were used to generate a nomogram predicting the risk of 30-day mortality.