Publications by authors named "S Meletti"
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.
A Reappraisal on cortical myoclonus and brief Remarks on myoclonus of different Origins.
Clin Neurophysiol Pract
October 2024
Myoclonus has multiple clinical manifestations and heterogeneous generators and etiologies, encompassing a spectrum of disorders and even physiological events. This paper, developed from a teaching course conducted by the Neurophysiology Commission of the Italian League against Epilepsy, aims to delineate the main types of myoclonus, identify potential underlying neurological disorders, outline diagnostic procedures, elucidate pathophysiological mechanisms, and discuss appropriate treatments. Neurophysiological techniques play a crucial role in accurately classifying myoclonic phenomena, by means of simple methods such as EEG plus polymyography (EEG + Polymyography), evoked potentials, examination of long-loop reflexes, and often more complex protocols to study intra-cortical inhibition-facilitation In clinical practice, EEG + Polymyography often represents the first step to identify myoclonus, acquire signals for off-line studies and plan the diagnostic work-up.
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- Study examines the risk of sudden unexpected death in epilepsy patients related to ictal central apnea (ICA) occurrences and features.
- Data from 108 patients with focal epilepsy were reviewed, who underwent extensive monitoring including video-EEG and genetic testing; 5 patients had pathogenic mutations detected.
- Results indicate a significant correlation between ICA and genetic variants, highlighting the importance of respiratory monitoring and genetic evaluation in focal epilepsy cases with unknown causes.
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.