Late neurological consequences of SARS-CoV-2 infection: New challenges for the neurologist.

Objective: In this study, a systematic review of the literature was performed to study the frequency of neurological symptoms and diseases in adult patients with COVID-19 that may be late consequences of SARS-CoV-2 infection.

Methods: Relevant studies were identified through electronic explorations of Scopus, PubMed, and Google Scholar. We followed PRISMA guidelines.

Assistive Technology in Multiple Sclerosis Patients-Two Points of View.

Objective: The goal of our study was determining the current needs and acceptance of patients with multiple sclerosis (MS) in the field of assistive technologies using materials from the "RAMCIP" project (Robotic Assistant for Mild Cognitive Impairment Patient at Home).

Methods: There were two target groups: a population with MS, and medical personnel experienced in treating MS patients. This study was based on a two-step design method (workshops and surveys).

Assessment of Perceived Attractiveness, Usability, and Societal Impact of a Multimodal Robotic Assistant for Aging Patients With Memory Impairments.

The aim of the present study is to present the results of the assessment of clinical application of the robotic assistant for patients suffering from mild cognitive impairments (MCI) and Alzheimer Disease (AD). The human-robot interaction (HRI) evaluation approach taken within the study is a novelty in the field of social robotics. The proposed assessment of the robotic functionalities are based on end-user perception of attractiveness, usability and potential societal impact of the device.

Outcome prediction in patients with acute repetitive seizures: Application of the Status Epilepticus Severity Score.

Acute repetitive seizures (ARS) pose a risk of hospital admission with status epilepticus and a mortality threat, which underscores the need for the early prediction of a clinical course. Unfortunately, little attention has been given to ARS in this context, even though we possess the appropriate predictive tools for the stages of status epilepticus. Therefore, the main aim of this study was to assess the prognostic value of the Status Epilepticus Severity Score (STESS) in the population of patients with ARS.

Systemic inflammatory response syndrome in the course of status epilepticus: 7-year, two-center observational study.

Objectives: This study was aimed at identifying patients with systemic inflammatory response syndrome (SIRS) and determining whether the presence of SIRS on admission was associated with drug resistance and poor outcome in status epilepticus (SE) patients.

Methods: We conducted a prospective review of patients consecutively admitted to two territory centers over a 7-year period. SIRS was considered present if the necessary criteria persisted for 12h.

Challenges for Service Robots-Requirements of Elderly Adults with Cognitive Impairments.

Objective: We focused on identifying the requirements and needs of people suffering from Alzheimer disease and early dementia stages with relation to robotic assistants.

Methods: Based on focus groups performed in two centers (Poland and Spain), we created surveys for medical staff, patients, and caregivers, including: functional requirements; human-robot interaction, the design of the robotic assistant and user acceptance aspects. Using Likert scale and analysis made on the basis of the frequency of survey responses, we identified users' needs as high, medium, and low priority.

Predictive model for patients with poor-grade subarachnoid haemorrhage in 30-day observation: a 9-year cohort study.

Objective: The purpose of this study was to identify prognostic factors and build the predictive model based on poor-grade subarachnoid haemorrhage (SAH) population received only supportive symptomatic treatment.

Design: Prospective observational cohort study.

Setting: Intensive care unit at the Clinical Department of Neurology.