Ictal Fear or Panic Attack, This Is the Question-A Video-EEG Study.

Panic disorder (PD) and focal epilepsy, in particular, temporal lobe epilepsy, often present diagnostic challenges due to overlapping clinical manifestations. This article describes the case of a 25-year-old female, misdiagnosed with PD for 15 years, whose recurring episodes of sudden fear, palpitations, and nausea were later identified as manifestations of focal epilepsy. Initially unresponsive to conventional anti-anxiety medications, the patient's correct diagnosis was only established through comprehensive electro-clinical, neuropsychological, and neuroimaging evaluations during her admission to our research hospital. Long-term video-EEG monitoring (LTVEM) played a pivotal role in identifying the epileptic nature of her episodes, which were characterized by paroxysmal activity in the right temporal and zygomatic regions, consistent with the location of a dysplastic lesion in the right amygdala, as revealed by high-resolution magnetic resonance imaging. These findings underline the importance of considering focal epilepsy in the differential diagnosis of PD, especially in cases refractory to standard psychiatric treatments. The misdiagnosis of epilepsy as PD can lead to significant delays in appropriate treatment, potentially exacerbating the patient's condition and affecting their quality of life. This case emphasizes the necessity of a multidisciplinary approach and the utilization of advanced diagnostic tools like LTVEM in elucidating the underlying causes of paroxysmal psychiatric symptoms.

The Role of Coherent Robot Behavior and Embodiment in Emotion Perception and Recognition During Human-Robot Interaction: Experimental Study.

BACKGROUND: Social robots are becoming increasingly important as companions in our daily lives. Consequently, humans expect to interact with them using the same mental models applied to human-human interactions, including the use of cospeech gestures. Research efforts have been devoted to understanding users' needs and developing robot's behavioral models that can perceive the user state and properly plan a reaction. Despite the efforts made, some challenges regarding the effect of robot embodiment and behavior in the perception of emotions remain open. OBJECTIVE: The aim of this study is dual. First, it aims to assess the role of the robot's cospeech gestures and embodiment in the user's perceived emotions in terms of valence (stimulus pleasantness), arousal (intensity of evoked emotion), and dominance (degree of control exerted by the stimulus). Second, it aims to evaluate the robot's accuracy in identifying positive, negative, and neutral emotions displayed by interacting humans using 3 supervised machine learning algorithms: support vector machine, random forest, and K-nearest neighbor. METHODS: Pepper robot was used to elicit the 3 emotions in humans using a set of 60 images retrieved from a standardized database. In particular, 2 experimental conditions for emotion elicitation were performed with Pepper robot: with a static behavior or with a robot that expresses coherent (COH) cospeech behavior. Furthermore, to evaluate the role of the robot embodiment, the third elicitation was performed by asking the participant to interact with a PC, where a graphical interface showed the same images. Each participant was requested to undergo only 1 of the 3 experimental conditions. RESULTS: A total of 60 participants were recruited for this study, 20 for each experimental condition for a total of 3600 interactions. The results showed significant differences (P<.05) in valence, arousal, and dominance when stimulated with the Pepper robot behaving COH with respect to the PC condition, thus underlying the importance of the robot's nonverbal communication and embodiment. A higher valence score was obtained for the elicitation of the robot (COH and robot with static behavior) with respect to the PC. For emotion recognition, the K-nearest neighbor classifiers achieved the best accuracy results. In particular, the COH modality achieved the highest level of accuracy (0.97) when compared with the static behavior and PC elicitations (0.88 and 0.94, respectively). CONCLUSIONS: The results suggest that the use of multimodal communication channels, such as cospeech and visual channels, as in the COH modality, may improve the recognition accuracy of the user's emotional state and can reinforce the perceived emotion. Future studies should investigate the effect of age, culture, and cognitive profile on the emotion perception and recognition going beyond the limitation of this work.

Stay cognitively and socially active with me: a six-month study of a socialization service.

50% of older adults over 60 years old are experiencing social isolation. Assistive technology can provide solutions that promote the connection with their families and other stakeholders. In this context, this paper presents a pilot study of a socialization service with 3 functions tested by 10 older adults and 10 informal caregivers. After a short training, participants were requested to use the system in their daily life for six months. At the beginning (T0) and at the end (T6) of the trial, qualitative structured questionnaires were addressed to investigate training, usability, acceptance (i.e. trust, anxiety, facilitating condition, enjoyment, and attitude), and user experience. Collected results underline good training, good usability of the system (SUS>68), and user experience for both groups. Furthermore, the values associated with acceptance domains are higher than 3.5 for intention to use and trust, at the end of the tests. We can observe a decreasing trend in stress associated with technology use. Informal caregivers have a higher evaluation of the system novelty with respect to older adults. Overall, qualitative feedback collected remarked the good impression of this service among the study's participants. Finally, this study represents a promising starting point for better investigating technology-based services that can improve the quality of life of older people living alone providing them with tools that can decrease their social isolation.Clinical Relevance- The results suggest the potential use of this type of service for promoting socialization among older adults thus reducing their loneliness.

Assessing Feasibility of Cognitive Impairment Testing Using Social Robotic Technology Augmented with Affective Computing and Emotional State Detection Systems.

Social robots represent a valid opportunity to manage the diagnosis, treatment, care, and support of older people with dementia. The aim of this study is to validate the Mini-Mental State Examination (MMSE) test administered by the Pepper robot equipped with systems to detect psychophysical and emotional states in older patients. Our main result is that the Pepper robot is capable of administering the MMSE and that cognitive status is not a determinant in the effective use of a social robot. People with mild cognitive impairment appreciate the robot, as it interacts with them. Acceptability does not relate strictly to the user experience, but the willingness to interact with the robot is an important variable for engagement. We demonstrate the feasibility of a novel approach that, in the future, could lead to more natural human-machine interaction when delivering cognitive tests with the aid of a social robot and a Computational Psychophysiology Module (CPM).

Vascular Schizophrenia-like Psychosis in Older Adults.

BACKGROUND: The aims of this study were to analyze prevalence and severity of vascular risk factors in older patients referred to our clinic due to onset of Very Late-Onset Schizophrenia-Like Psychosis (VLOSLP) and to create a specific phenotype based on pathophysiological insight rather than age of onset. METHODS: In a longitudinal study, 103 (M = 39, F = 64; mean age of 80.32 ± 7.65 years) patients were evaluated with cognitive, neuropsychiatric, and functional assessment scales. Blood concentration of hemoglobin (Hb), mean corpuscular volume (MCV), platelets, total protein test (TPT), creatinine, azotemia, glycemia, total cholesterol (TC), triglycerides (TG), uric acid (UA), sodium (Na), potassium (K), chlorine (Cl), calcium (Ca), folate, vitamin B12 (Vit-B12), and homocysteine were measured. Presence/absence of tobacco use, alcohol consumption, psychoactive substance use, hypertension, hyperlipidemia, diabetes mellitus, and history of vascular disease were collected. RESULTS: Females were more apathetic than males (NPI-Apathy: p = 0.040). Males had a significantly higher level of Hb (p = 0.019) and UA (p = 0.001), and a lower level of platelets (p = 0.004) and Ca (p = 0.003), and used more tobacco (p = 0.046) and alcohol (p = 0.024) than females. Comparing patients < 80 and ≥80 years, we found differences in frequency of vascular risk factors among men (p = 0.027). In total, 102 patients were treated for psychosis (59.16% of them were using atypical antipsychotics). CONCLUSIONS: The results of this study could be useful for a progressive demonstration of the causal relationship between cardiac and cerebral vascular events and VLOSLP.

User Profiling to Enhance Clinical Assessment and Human-Robot Interaction: A Feasibility Study.

Socially Assistive Robots (SARs) are designed to support us in our daily life as a companion, and assistance but also to support the caregivers' work. SARs should show personalized and human-like behavior to improve their acceptance and, consequently, their use. Additionally, they should be trustworthy by caregivers and professionals to be used as support for their work (e.g. objective assessment, decision support tools). In this context the aim of the paper is dual. Firstly, this paper aims to present and discuss the robot behavioral model based on sensing, perception, decision support, and interaction modules. The novel idea behind the proposed model is to extract and use the same multimodal features set for two purposes: (i) to profile the user, so to be used by the caregiver as a decision support tool for the assessment and monitoring of the patient; (ii) to fine-tune the human-robot interaction if they can be correlated to the social cues. Secondly, this paper aims to test in a real environment the proposed model using a SAR robot, namely ASTRO. Particularly, it measures the body posture, the gait cycle, and the handgrip strength during the walking support task. Those collected data were analyzed to assess the clinical profile and to fine-tune the physical interaction. Ten older people (65.2 ± 15.6 years) were enrolled for this study and were asked to walk with ASTRO at their normal speed for 10 m. The obtained results underline a good estimation (p < 0.05) of gait parameters, handgrip strength, and angular excursion of the torso with respect to most used instruments. Additionally, the sensory outputs were combined in the perceptual model to profile the user using non-classical and unsupervised techniques for dimensionality reduction namely T-distributed Stochastic Neighbor Embedding (t-SNE) and non-classic multidimensional scaling (nMDS). Indeed, these methods can group the participants according to their residual walking abilities.

Psychological Interventions in a Pandemic Emergency: A Systematic Review and Meta-Analysis of SARS-CoV-2 Studies.

Background: The study aim was to review the evidence and effectiveness of psychological interventions applied during Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. Methods: A literature search was run from April 2020 to April 2021. The inclusion criteria were: (1) RCTs or observational studies; (2) professional health carers and patients who had contracted coronavirus during the pandemic; (3) adults and elderly people with a viral infection diagnosis; (4) suitable measures to assess intervention effectiveness on clinical status and psychological and behavioral aspects. An internal validity assessment was planned using robvis. Data were synthesized according to PICO criteria. Results: A total of 12 studies were selected. Studies measuring mental health outcomes demonstrated the greatest reduction in symptoms, with eight out of the twelve studies demonstrating a reduction in symptoms that reached statistical significance (p < 0.05) and four of the studies reaching a higher significance level of p < 0.01. The type of psychological intervention was predominantly cognitive behavioral therapy (CBT). All studies except one was run online. Conclusion: Psychological interventions have a benefit on mental health outcomes, even if performed online. In particular, CBT seems to be the psychological intervention that is used more and also seems to have a larger effect size on the mitigation of mental health symptoms and increasing resilience.

CT-Detected MTA Score Related to Disability and Behavior in Older People with Cognitive Impairment.

Our study aims to investigate the relationship between medial temporal lobe atrophy (MTA) score, assessed by computed tomography (CT) scans, and functional impairment, cognitive deficit, and psycho-behavioral disorder severity. Overall, 239 (M = 92, F = 147; mean age of 79.3 ± 6.8 years) patients were evaluated with cognitive, neuropsychiatric, affective, and functional assessment scales. MTA was evaluated from 0 (no atrophy) to 4 (severe atrophy). The homocysteine serum was set to two levels: between 0 and 10 µmol/L, and >10 µmol/L. The cholesterol and glycemia blood concentrations were measured. Hypertension and atrial fibrillation presence/absence were collected. A total of 14 patients were MTA 0, 44 patients were MTA 1, 63 patients were MTA 2, 79 patients were MTA 3, and 39 patients were MTA 4. Cognitive (p < 0.0001) and functional (p < 0.0001) parameters decreased according to the MTA severity. According to the diagnosis distribution, AD patient percentages increased by MTA severity (p < 0.0001). In addition, the homocysteine levels increased according to MTA severity (p < 0.0001). Depression (p < 0.0001) and anxiety (p = 0.001) increased according to MTA severity. This study encourages and supports the potential role of MTA score and CT scan in the field of neurodegenerative disorder research and diagnosis.

Internet-Based Psychological Interventions during SARS-CoV-2 Pandemic: An Experience in South of Italy.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to an increasing demand for online psychological intervention. The aim of this study is to evaluate the efficacy of received support in internet-based psychological intervention group (I-IG) patients, compared with a wait-list control group (CG). The Impact of Event Scale­Revised, Patient Health Questionnaire 9-item and Generalized Anxiety Disorder scale 7-item were administered. After participants had used the internet-based solution, the System Usability Scale was administered. In total, 221 patients (194 patients supported by internet-based interventions and 27 patients supported onsite) were included in intervention group, and 194 patients were included in CG. In a 6-month follow-up, participants in the I-IG demonstrated significant improvements in terms of PTSD risk (p < 0.0001, d = 0.64), depression (p < 0.0001, d = 0.68), and anxiety (p < 0.0001, d = 1.33), compared to the CG. Significant improvements in onsite intervention group patients with a large to very large effect size of PTSD risk (p < 0.0001, d = 0.91), depression (p < 0.0001, d = 0.81), and anxiety (p < 0.0001, d = 1.62) were found. After internet-based solution use, I-IG patients reported a very high usability and functionality (72.87 ± 13.11) of online intervention. In conclusion, SARS-CoV-2-related mental health problems can be improved by internet-based psychological intervention. The usability and functionality evaluation of online solutions by technological tools showed very positive results for the I-IG patients.

Emotion Recognizing by a Robotic Solution Initiative (EMOTIVE Project).

BACKGROUND: Emotion recognition skills are predicted to be fundamental features in social robots. Since facial detection and recognition algorithms are compute-intensive operations, it needs to identify methods that can parallelize the algorithmic operations for large-scale information exchange in real time. The study aims were to identify if traditional machine learning algorithms could be used to assess every user emotions separately, to relate emotion recognizing in two robotic modalities: static or motion robot, and to evaluate the acceptability and usability of assistive robot from an end-user point of view. METHODS: Twenty-seven hospital employees (M = 12; F = 15) were recruited to perform the experiment showing 60 positive, negative, or neutral images selected in the International Affective Picture System (IAPS) database. The experiment was performed with the Pepper robot. Concerning experimental phase with Pepper in active mode, a concordant mimicry was programmed based on types of images (positive, negative, and neutral). During the experimentation, the images were shown by a tablet on robot chest and a web interface lasting 7 s for each slide. For each image, the participants were asked to perform a subjective assessment of the perceived emotional experience using the Self-Assessment Manikin (SAM). After participants used robotic solution, Almere model questionnaire (AMQ) and system usability scale (SUS) were administered to assess acceptability, usability, and functionality of robotic solution. Analysis wasperformed on video recordings. The evaluation of three types of attitude (positive, negative, andneutral) wasperformed through two classification algorithms of machine learning: k-nearest neighbors (KNN) and random forest (RF). RESULTS: According to the analysis of emotions performed on the recorded videos, RF algorithm performance wasbetter in terms of accuracy (mean ± sd = 0.98 ± 0.01) and execution time (mean ± sd = 5.73 ± 0.86 s) than KNN algorithm. By RF algorithm, all neutral, positive and negative attitudes had an equal and high precision (mean = 0.98) and F-measure (mean = 0.98). Most of the participants confirmed a high level of usability and acceptability of the robotic solution. CONCLUSIONS: RF algorithm performance was better in terms of accuracy and execution time than KNN algorithm. The robot was not a disturbing factor in the arousal of emotions.

Relationship of Homocysteine Plasma Levels with Mild Cognitive Impairment, Alzheimer's Disease, Vascular Dementia, Psychobehavioral, and Functional Complications.

BACKGROUND: Alzheimer's disease (AD) may be a vascular disorder with neurodegenerative consequences opening possibility of preventing AD by targeting vascular risk factors including homocysteine. OBJECTIVE: The study aims were to assess homocysteine distribution in different forms and severity of cognitive impairment (CogI) [mild cognitive impairment (MCI), probable AD (Prob-AD), possible AD (Poss-AD), and vascular dementia (VaD)] and in NoCogI, and to estimate possible association between hyperhomocysteinemia levels with functional deficit severity and psychobehavioral complications. METHODS: In total, 929 (M = 366, F = 563; mean age of 72.55±6.24 years) patients were evaluated with cognitive, neuropsychiatric, affective, and functional assessment scales. Homocysteine serum was set on two levels: between 0 and 10µmol/L and > 10µmol/L. For each patient, blood concentration of folate, vitamin B12, hemoglobin, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), cholesterol, triglycerides, and glycemia were measured. RESULTS: CogI patients demonstrated significantly a higher frequency of homocysteine > 10 (p = 0.003), than NoCogI patients. Patients with moderate and severe dementia had a higher frequency of homocysteine > 10 (p < 0.0001), than MCI and mild dementia. Poss-AD and VaD had a higher frequency of homocysteine > 10 (p = 0.003), than Prob-AD patients. Homocysteine > 10 frequency is directly proportional to increased neuropsychiatric symptom severity (p < 0.0001), and functional impairment severity respectively for ADL (p < 0.0001) and IADL (p < 0.0001). CONCLUSION: Higher homocysteine level seems to be significantly related to cognitive impairment frequency and severity, possible AD and VaD, neuropsychiatric symptom severity, and functional impairment severity.

Pilots for Healthy and Active Ageing (PHArA-ON) Project: Definition of New Technological Solutions for Older People in Italian Pilot Sites Based on Elicited User Needs.

BACKGROUND: The Pilots for Healthy and Active Ageing (PHArA-ON) project aimsto ensure reality smart and active living for Europe's ageing population by creating a set of integrated and highly customizable interoperable open platforms with advanced services, devices, and technologies and tools. The aim of the present study was to determine the needs and preferences of older people and their caregivers for improving healthy and active aging and guiding the technological development of thePHArA-ON system. METHODS: A pre-structured interview was administered to older adults, informal caregivers and professional caregivers (including social operators) taking part in the piloting sessions. RESULTS: Interviews were carried out in Umana Persone Social Enterprise R&D Network (UP) in Tuscany, and Ospedale Casa SollievodellaSofferenza (CSS) in Apulia. A total of 22 older adults, 22 informal caregivers, 13 professional caregivers and 4 social operators were recruited. A prioritization analysis of services, according to the stakeholder's needs, has determined two fundamental need categories: Heath Management (i.e., stimulation and monitoring), and Socialisation (i.e., promoting social inclusion). CONCLUSIONS: The main scientific contributions to this study are the following: to design and evaluate technology in the context of healthy and active ageing, to acquire relevant knowledge on user needs to develop technologies that can handle the real life situations of older people, obtain useful insights about the attitude and availability of end-users in using technologies in clinical practice, and to provide important guidelines to improve the PHArA-ON system. Specific experimentation stages were also carried out to understand which kind of technology is more acceptable, and to obtain feedback regarding the development priority related to the impact of the proposed services. Research through fruitful and continuous interaction with the different subjects involved in the development process of the system, as well as with stakeholders, enabled the implementation of a platform which could be further and easily integrated and improved.

Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review.

Background: Insomnia seems to be related to disability, risk of injury, metabolic syndrome, risk for cardiovascular diseases, cognitive impairment, depression and impaired quality of life. Objectives: The goals in this paper was (1) to keep track of technological concepts and approaches to improve insomnia in elderly people, and (2) to define the effect that information and communication technologies (ICT) is having on patients' care. Design: A systematic review was conducted from existing literature. Our selection criteria included: (1) age ≥ 60 years; (2) diagnosis of insomnia with the International Classification of Sleep Disorders (ICSD-II), (3) CBTi (cognitive behavioural therapy insomnia), (4) use of technological tools, and (5) associations between insomnia-related variables and indices of disability, quality of life, and global clinical assessments. Data analysis: 11 articles were included. An inductive content analysis was used for data extraction. Results: Our review revealed any technological systems that could purportedly rehabilitate elderly patients with insomnia. Three categories of research were identified from the review: (1) Internet Deliver-CBTi, (2) virtual coaches, and (3) sleep technologies. Conclusions: The potential for ICT to support insomnia care at home can improve the quality of life for families and reduce health care costs and premature institutional care.

Late-Life Depression versus Amnestic Mild Cognitive Impairment: Alzheimer's Disease Incidence in 4 Years of Follow-Up.

BACKGROUND/AIM: The aim of the study was to evaluate the prognostic power of late-life depression (LLD) compared with amnestic mild cognitive impairment (aMCI) for the onset of Alzheimer's disease (AD) within 4 years of follow-up. METHODS: We estimated the incidence of AD in 60 patients presenting with aMCI, 115 patients suffering of LLD treated with antidepressants with good compliance, and 66 healthy control (HC) patients, followed for 4 years. RESULTS: The risk to develop AD, within 4 years, was 68.33% for aMCI and 49.57% for LLD. In AD patients 5.60% deteriorated without depression, and 72.20% deteriorated with depression after 4 years of follow-up (p < 0.0001). No HC patients deteriorated to AD or any other dementia type. CONCLUSION: In our results, aMCI was the first predictive condition that increased the risk to develop AD. Depression is a potentially preventable medical condition across the lifespan and may be a modifiable risk factor.

Erythrocyte Associated Amyloid-ß as Potential Biomarker to Diagnose Dementia.

BACKGROUND: Although it is known that Alzheimer's disease (AD) is associated with the progressive accumulation of amyloid ß-peptide (Aß) in the human brain, its pathogenic role has to be completely clarified. Aß moves from the bloodbrain barrier to the plasma and an increased Aß production in brain could be associated with higher Aß concentrations in blood. A recent study has evaluated Aß40 and Aß42 levels in human red blood cells (RBCs) with evidence of agedependent higher Aß concentration in RBCs. OBJECTIVE: The aim of the study was to investigate if erythrocyte associated Aß (iAß) levels could be different in subjects affected by dementia in comparison with controls and according to the patient's cognitive impairment or different dementia subtypes. METHOD: To answer these questions we assessed iAß40 and iAß42 levels in 116 patients: 32 healthy controls, 39 with diagnosis of vascular dementia (VaD), 14 mild cognitive impairment (MCI) and 31 AD. RESULTS: In this population we found significant differences in iAß42 between controls and cognitive impaired patients. Moreover, iAß42 significantly differed between dementia vs MCI. AD also showed different iAß42 levels as compared to VaD. Conversely, no differences were found for iAß40. All the analyses were adjusted for potential confounders like age, gender and Hb concentration. A direct correlation between increasing iAß42 concentration and the progression of the cognitive decline using the MMSE score as continuous variable was also found. CONCLUSION: Our findings support the evidence that iAß42 could be an instrument to early recognize dementia and predict cognitive impairment.

Analysis of MTNR1B gene polymorphisms in relationship with IRS2 gene variants, epicardial fat thickness, glucose homeostasis and cognitive performance in the elderly.

ABSTARCT Genome-wide association studies pinpointed common variants in or near the MTNR1B gene encoding MT2 melatonin receptor to be strongly associated with fasting glucose levels. IRS2 gene polymorphisms impact insulin resistance and epicardial fat (EF) thickness, which in turn is correlated with visceral adiposity, cognitive ability and risk for metabolic plus cardiovascular disease. We aimed to discover the interactions between MTNR1B and IRS2 gene polymorphisms, insulin sensitivity, EF thickness and cognitive performance in the elderly. In 60 subjects aged 60 years and older, we evaluated five single nucleotide polymorphisms (SNPs) within the MTNR1B locus (rs10830962, rs4753426, rs12804291, rs10830963, rs3781638), the Gly1057Asp variant of IRS2 gene (rs1805097), biochemical parameters, cognitive performance by the Mini Mental State Examination (MMSE) and EF thickness by transthoracic echocardiography. We found that MTNR1B and IRS2 gene variants impacted EF thickness, lipid profile and glucose homeostasis. IRS2 but not MTNR1B variants impacted MMSE scores. In conclusion, MTNR1B SNPs interact with IRS2 gene variant, correlate with the amount of epicardial adipose tissue and impact glucose homeostasis and lipid profile influencing cardiometabolic risk.

A pilot randomized controlled trial evaluating an integrated treatment of rivastigmine transdermal patch and cognitive stimulation in patients with Alzheimer's disease.

OBJECTIVE: To evaluate in a pilot single-blind randomized controlled clinical trial the efficacy of an integrated treatment with rivastigmine transdermal patch (RTP) and cognitive stimulation (CS) in Alzheimer's disease (AD) patients at 6-month follow-up. METHODS: We enrolled 90 patients with an age ≥65 years admitted to the outpatient Alzheimer's Evaluation Unit with diagnosis of AD. Patients were randomized to enter in the Group-1 (RTP + CS) or in the Group-2 (RTP). All patients at baseline and after 6 months were evaluated with the following tools: Mini Mental State Examination (MMSE), Clinical Dementia Rating (CDR), Hamilton Rating Scale for Depression (HAM-D), Geriatric Depression Scale (GDS-15), Neuropsychiatric Inventory (NPI), Neuropsychiatric Inventory-Distress (NPI-D), and a standardized Comprehensive Geriatric Assessment, including also activities of daily living (ADL), instrumental activities of daily living (IADL), and the Mini Nutritional Assessment (MNA). Mortality risk was assessed using the Multidimensional Prognostic Index (MPI). RESULTS: At baseline no significant difference was shown between the two groups. After 6 months of follow-up, there were significant differences between Group-1 and Group-2 in: MMSE: +6.39% vs. +2.69%, CDR: +6.92% vs. +1.54%, HDRS-D = -60.7% vs. -45.8%, GDS: -60.9% vs. -7.3%, NPI: -55.2% vs. -32.7%%, NPI-D: -55.1% vs. -18.6%, ADL: +13.88% vs. +5.95%, IADL: +67.59% vs. +18.28%, MNA: +12.02% vs. +5.91%, and MPI: -29.03% vs. -12.90%. CONCLUSION: The integrated treatment of RTP with CS in AD patients for 6 months improved significantly cognition, depressive and neuropsychiatric symptoms, functional status, and mortality risk in comparison with a group of AD patients receiving only RTP.

Caregiver burden characterization in patients with Alzheimer's disease or vascular dementia.

OBJECTIVE: To characterize the differences of caregiver burden in patients with Alzheimer's disease (AD) and vascular dementia (VaD) in order to improve the care counselling and management plan. METHODS: We included 506 patients consecutively attending the Alzheimer's Evaluation Unit of a Geriatric Unit, evaluated with Mini Mental State Examination (MMSE), Clinical Dementia Rating (CDR), Hamilton Rating Scale for Depression, and Neuropsychiatric Inventory. To all caregivers were administered the Caregiver Burden Inventory (CBI), a 24-item multidimensional questionnaire in which 5 subscales explore 5 dimensions of caregiver burden: (1) CBI-Objective; (2) CBI-Developmental; (3) CBI-Physical; (4) CBI-Social; and (5) CBI-Emotional. RESULTS: The present study included, respectively, 253 AD patients and 253 VaD patients. AD patients at baseline showed a significantly higher instruction level (p < .0001), higher grade of cognitive impairment (MMSE, p < .0001), and increased severity stage of dementia (CDR, p < .0001) than VaD patients. AD caregivers, mainly females (p = 0.010), devoted significantly more length of time care (in months, p = 0.010) and time of daily care (in hours, p = 0.011) and showed a significantly higher burden level in CBI-Objective (p = 0.047), CBI-Physical (p < .0001), CBI-Social (p = 0.003), CBI-Emotional (p < .0001), and CBI-total score (p < .0001), than VaD caregivers. In both caregiver groups, a higher presence of spouses and sons (p < .0001) compared to other relatives was observed. AD caregiver burden showed a significant association with sex of caregivers and length of time care in months. CONCLUSIONS: AD caregivers showed a higher burden level than VaD caregivers, and this appeared to be associated with sex and length of time care.

An association study between epicardial fat thickness and cognitive impairment in the elderly.

The amount of fat surrounding the heart, called epicardial adipose tissue (EAT), is a marker of cardiometabolic risk and correlates with the quantity of visceral adipose tissue (VAT). The amount of VAT is associated with an increased risk of cardiovascular and cerebrovascular disease and with cognitive impairment. We aimed to evaluate the association between EAT thickness as a measure of VAT and cognitive function. In 71 elderly subjects (mean age 72.7 ± 7.1 yr) we measured EAT thickness through transthoracic echocardiography, assessed the metabolic profile through evaluation of biochemical parameters, and estimated the cognitive function via the Mini Mental State Examination (MMSE). We found that greater EAT thickness was associated with lower cognitive performance evaluated by MMSE (P < 0.01) independently of the presence or absence of metabolic syndrome or obesity. Lower MMSE results were also associated with the presence of metabolic syndrome (P < 0.01), elevated HOMA index (P < 0.01), and high BMI values (P < 0.01). The results of mediation analysis confirmed that the total effect of metabolic syndrome, HOMA, and BMI on MMSE is mainly explained by an indirect effect through EAT thickness. In conclusion, increased EAT thickness assessed by transthoracic echocardiography is associated with deficient results of psychometric tests assessing cognitive performance and may consistently foresee impairment of cognition in the elderly.