Retrospective Study on Short-Term Reverse Cardiac Remodeling in Obese Patients Undergoing Sleeve Gastrectomy.

Severe obesity is closely associated with an increased risk of comorbidities and alterations in cardiac structure and function. The primary objective of this study was to investigate cardiovascular (CV) risk factors and ventricular remodeling in individuals from an obese population eligible for bariatric surgery. The secondary objective was to evaluate changes in anthropometric, clinical laboratory, and echocardiographic measurements 12 weeks after surgery compared to baseline values.

The Use of Audiovisual Distraction Tools in the Dental Setting for Pediatric Subjects with Special Healthcare Needs: A Review and Proposal of a Multi-Session Model for Behavioral Management.

Background: A Special Health Care Need (SHCN) is characterized by any type of physical, mental, sensorial, cognitive, emotional, or developmental condition that requires medical treatment, specialized services, or healthcare interventions. These conditions can negatively impact oral health as SHCN children can hardly cooperate or communicate and experience higher levels of dental fear/anxiety, which interfere with regular appointments. The present narrative review aims to analyze the use of audiovisual (AV) tools in dental setting for the management of SHCN children during dental treatment and to evaluate their effectiveness in anxiety/behavior control from the child, dentist, and care-giver perspectives.

An explainable model for predicting Worsening Heart Failure based on genetic programming.

Heart Failure (HF) poses a challenge for our health systems, and early detection of Worsening HF (WHF), defined as a deterioration in symptoms and clinical and instrumental signs of HF, is vital to improving prognosis. Predicting WHF in a phase that is currently undiagnosable by physicians would enable prompt treatment of such events in patients at a higher risk of WHF. Although the role of Artificial Intelligence in cardiovascular diseases is becoming part of clinical practice, especially for diagnostic and prognostic purposes, its usage is often considered not completely reliable due to the incapacity of these models to provide a valid explanation about their output results.

Artificial Intelligence and Heart-Brain Connections: A Narrative Review on Algorithms Utilization in Clinical Practice.

Cardiovascular and neurological diseases are a major cause of mortality and morbidity worldwide. Such diseases require careful monitoring to effectively manage their progression. Artificial intelligence (AI) offers valuable tools for this purpose through its ability to analyse data and identify predictive patterns.

Optimisation of Remote Monitoring Programmes in Heart Failure: Evaluation of Patient Drop-Out Behaviour and Healthcare Professionals' Perspectives.

Heart failure (HF) is a growing epidemic, affecting millions of people worldwide, and is a major cause of mortality, morbidity, and impaired quality of life. Traditional cardiac rehabilitation is a valuable approach to the physical and quality-of-life recovery of patients with cardiovascular disease. The innovative approach of remote monitoring through telemedicine offers a solution based on modern technologies, enabling continuous collection of health data outside the hospital environment.

Telerehabilitation: A Solution for Patients After Hip Fracture?

- Hip fracture is the most common cause of hospitalization in frail geriatric subjects due to osteoporosis and recurrent falls. The clinical practice guidelines for rehabilitation after surgery in patients with hip fractures recommend to start treatment early. However, the outbreak of SARS-CoV-2 pandemic between December 2019 and January 2020 forced to lockdown.

A Set of Possible Markers for Monitoring Heart Failure and Cognitive Impairment Associated: A Review of Literature from the Past 5 Years.

Background: Heart failure is an epidemiologically relevant disease because of the aging population and widespread lifestyles that promote it. In addition to the acute event, it is possible for the disease to become chronic with periodic flare-ups. It is essential to study pathology from a diagnostic and prognostic point of view and to identify parameters for effective monitoring.

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects.

Smart wearable devices enable personalized at-home healthcare by unobtrusively collecting patient health data and facilitating the development of intelligent platforms to support patient care and management. The accurate analysis of data obtained from wearable devices is crucial for interpreting and contextualizing health data and facilitating the reliable diagnosis and management of critical and chronic diseases. The combination of edge computing and artificial intelligence has provided real-time, time-critical, and privacy-preserving data analysis solutions.

Healthcare worker burnout during the first COVID-19 lockdown in Italy: experiences from an intensive neurological rehabilitation unit.

Objective: The study aim was to investigate the prevalence of behavioral symptoms and burnout in healthcare workers in an intensive neurological rehabilitation unit in Messina, Italy, during the first COVID-19 lockdown in Italy.

Methods: Forty-seven healthcare workers (including neurologists, physiatrists, nurses and rehabilitation therapists) were enrolled in this cross-sectional study from February 2020 to June 2020. Participants were administered the following psychometric tests to investigate burnout and related symptoms: the Maslach Burnout Inventory, which measures emotional exhaustion, depersonalization and reduced personal accomplishment; the Zung Self-Rating Depression Scale (SDS); the Pre-Sleep Arousal Scale (PSAS); the Dyadic Adjustment Scale; and the Buss-Perry Aggression Questionnaire (BPAQ).

Artificial Intelligence in Hypertension Management: An Ace up Your Sleeve.

Arterial hypertension (AH) is a progressive issue that grows in importance with the increased average age of the world population. The potential role of artificial intelligence (AI) in its prevention and treatment is firmly recognized. Indeed, AI application allows personalized medicine and tailored treatment for each patient.

In vivo probabilistic atlas of white matter tracts of the human subthalamic area combining track density imaging and optimized diffusion tractography.

The human subthalamic area is a region of high anatomical complexity, tightly packed with tiny fiber bundles. Some of them, including the pallidothalamic, cerebello-thalamic, and mammillothalamic tracts, are relevant targets in functional neurosurgery for various brain diseases. Diffusion-weighted imaging-based tractography has been suggested as a useful tool to map white matter pathways in the human brain in vivo and non-invasively, though the reconstruction of these specific fiber bundles is challenging due to their small dimensions and complex anatomy.

Feasibility, Usability, and Customer Satisfaction of the Tele-COVID19 Project, Sicilian Model.

: In March 2020, COVID-19 pandemic affected the world. All countries, to limit viral transmission, imposed quarantine. This emergency exerted personal, social, economic, and psychological impact on people.

White matter substrates of functional connectivity dynamics in the human brain.

The contribution of structural connectivity to functional connectivity dynamics is still far from being elucidated. Herein, we applied track-weighted dynamic functional connectivity (tw-dFC), a model integrating structural, functional, and dynamic connectivity, on high quality diffusion weighted imaging and resting-state fMRI data from two independent repositories. The tw-dFC maps were analyzed using independent component analysis, aiming at identifying spatially independent white matter components which support dynamic changes in functional connectivity.

Humanoid Robot Use in Cognitive Rehabilitation of Patients with Severe Brain Injury: A Pilot Study.

Severe acquired brain injury (SABI) is a major global public health problem and a source of disability. A major contributor to disability after SABI is limited access to multidisciplinary rehabilitation, despite evidence of sustained functional gains, improved quality of life, increased return to work, and reduced need for long-term care. Twelve patients with a diagnosis of SABI were enrolled and equally divided into two groups: experimental and control.

Care models for mental health in a population of patients affected by COVID-19.

Objective: Emergency psychological interventions are needed in patients with COVID-19. During the pandemic, psychological counseling services have been provided using online platforms to address adverse psychological impacts and symptoms in patients and the general population. We investigated the effects of telepsychotherapy on emotional well-being and psychological distress in patients affected by COVID-19.

Effect of MAO-B Inhibitors on Neurometabolic Profile of Patients Affected by Parkinson Disease: A Proton Magnetic Resonance Spectroscopy Study.

Parkinson's Disease (PD) is the most common neurodegenerative movement disorder whose treatment is symptomatic. No suitable methods for assessing the effects of dopaminergic drugs on disease progression in clinical trials have yet been provided. The aim of this longitudinal study is to evaluate the influence of rasagiline and selegiline on neurometabolic profile in de novo PD patients by using Proton Magnetic Resonance Spectroscopy (H-MRS).

Effects of diffusion signal modeling and segmentation approaches on subthalamic nucleus parcellation.

The subthalamic nucleus (STN) is commonly used as a surgical target for deep brain stimulation in movement disorders such as Parkinson's Disease. Tractography-derived connectivity-based parcellation (CBP) has been recently proposed as a suitable tool for non-invasive in vivo identification and pre-operative targeting of specific functional territories within the human STN. However, a well-established, accurate and reproducible protocol for STN parcellation is still lacking.

Cerebellar Atrophy Associated with Primary Sjögren's Syndrome: Diagnosis, Therapy, and Virtual Reality Rehabilitation: A Case Report.

Cerebellar involvement in primary Sjögren's syndrome (pSS) is an uncommon condition, with only a limited number of cases described worldwide. A 43-year-old woman affected by cerebellar atrophy associated with pSS was referred to our center to undergo a cycle of physical rehabilitation therapy. Although motor symptoms started when the patient was 23 years of age, the underlying disease remained undiagnosed for several years.

Ventral intermediate nucleus structural connectivity-derived segmentation: anatomical reliability and variability.

The Ventral intermediate nucleus (Vim) of thalamus is the most targeted structure for the treatment of drug-refractory tremors. Since methodological differences across existing studies are remarkable and no gold-standard pipeline is available, in this study, we tested different parcellation pipelines for tractography-derived putative Vim identification. Thalamic parcellation was performed on a high quality, multi-shell dataset and a downsampled, clinical-like dataset using two different diffusion signal modeling techniques and two different voxel classification criteria, thus implementing a total of four parcellation pipelines.

Transcriptomic Data Analysis Reveals a Down-Expression of in Schizophrenia Hippocampus.

Schizophrenia (SCZ) is a severe psychiatric disorder with several clinical manifestations that include cognitive dysfunction, decline in motivation, and psychosis. Current standards of care treatment with antipsychotic agents are often ineffective in controlling the disease, as only one-third of SCZ patients respond to medications. The mechanisms underlying the pathogenesis of SCZ remain elusive.

The Cerebellar Dopaminergic System.

In the central nervous system (CNS), dopamine (DA) is involved in motor and cognitive functions. Although the cerebellum is not been considered an elective dopaminergic region, studies attributed to it a critical role in dopamine deficit-related neurological and psychiatric disorders [e.g.