Association between prescription of conventional or atypical antipsychotic drugs and mortality in older persons with Alzheimer's disease.

Background/Aims: To evaluate whether dementia patients prescribed antipsychotic drugs have a higher mortality compared to unexposed patients, and to investigate whether there are differences in mortality associated with exposure to conventional versus atypical antipsychotic drugs. Methods: Retrospective population cohort study with information gathered from the Italian Health Information System. All 4,369 residents of Milan (Italy) aged 60 years or older who were newly prescribed an antidementia drug (donepezil, rivastigmine or galantamine) from January 2002 to June 2008 were included. All new users of antipsychotic drugs in this cohort were categorized according to conventional (n = 156) or atypical (n = 806) drug exposure. The mortality risks of users of conventional or atypical antipsychotics compared to nonusers were evaluated with survival analysis, considering exposure to antipsychotic drugs as a time-dependent variable. Results: Mortality was increased two- and fivefold in users of atypical and conventional antipsychotics, respectively, with respect to nonusers. Conclusions: Dementia patients prescribed antipsychotic drugs had a higher risk of death. This risk was highest for those prescribed conventional antipsychotics. At least part of the excess mortality may be due to the underlying neuropsychiatric symptoms that prompted the use of antipsychotics rather than a direct medication effect

Trends in the Postmortem Diagnosis of Opportunistic Invasive Fungal Infections in Patients With AIDS

Abstract We retrospectively evaluated autopsy-proven invasive fungal infections (IFIs) in patients with AIDS who died between 1984 and 2002. IFIs were identified in 297 (18.2%) of 1,630 autopsies. Their prevalence significantly decreased over time (from 25.0% in 1984–1988 to 15% in 1998–2002; P = .004), mainly owing to a significant decrease in pneumocystosis (P = .017) and cryptococcosis (P = .003), whereas the prevalence of aspergillosis and histoplasmosis remained relatively stable and of candidiasis and zygomycosis tended to increase in the last years (P = .028 and P = .042, respectively). IFIs were suspected or confirmed during life in only 46.8% of the cases; this proportion did not vary significantly over time (P = .320). The infections contributed to the deaths of 103 patients (34.7%), and their global impact on mortality was 6.3%. Of fatal cases, 38 (36.9%) were characterized by missed antemortem diagnoses, 17 (45%) of which met Goldman criteria for class I errors. The epidemiology of IFIs in patients with AIDS is evolving and not completely mirrored by clinical diagnoses or current diagnostic methods. Our results confirm the valuable role of autopsy data, even with highly effective therapies and advanced technologies

Interaction of Skeletal and Left Ventricular Mass in Older Adults with Low Muscle Performance

BACKGROUND: It was recently hypothesized the existence of “cardiac-skeletal muscle axis.” However, the relationship between skeletal muscle mass (SMM) and left ventricular mass (LVM) has never been investigated in the specific group of older individuals with low skeletal mass and physical performance. We tested this hypothesis in the SPRINT-T (Sarcopenia and Physical Frailty IN older people: multicomponenT Treatment strategies Trial) population using LVM as independent variable and SMM as dependent variable. METHODS: SMM was assessed by dual-energy X-ray absorptiometry scan and expressed as appendicular lean mass (ALM), and LVM was estimated through echocardiography. Low ALM was defined according to Foundation for the National Institutes of Health Sarcopenia Project criteria, and Short Physical Performance Battery (SPPB) was used to assess physical performance.RESULTS: The population consisted of 100 persons (33 men and 67 women), aged 70 years or older (mean age = 79 5 years) with low ALM and SPPB ranged between 3 and 9, suggestive of physical frailty. Charlson Comorbidity Index median score was 0. Mean value of LVM was 193 67 g, indexed LVM/body surface area (LVM/BSA) was 112 33 g/m2, and cardiac output (CO) was 65 19 L/min. ALM was strongly and positively correlated with LVM (r = 0.54602; P < .0001), LVM/BSA (r = 0.30761; P < .002), CO (r = 0.49621; P < .0001), body mass index (BMI) (r = 0.52461; P < .0001), sex (r = 0.77; P < .001), fat mass (r = 0.38977; P < .0001), and hemoglobin (Hb) (r = 0.26001; P < .01). In the multivariate analysis, LVM (β = .019 .005; P < .0001), CO (β = .038 .016; P = .019), BMI (β = .286 .051; P < .0001), and Hb (β = .544 .175; P = .0025) remained associated to ALM. CONCLUSIONS: In a sample of older persons with low muscle mass and physical performance, LVM was positively and significantly correlated with ALM, independently from blood pressure, physical activity, and other potential confounders. Future studies are needed to address the effect of interventions targeting LVM and SMM

The Association between Influenza and Pneumococcal Vaccinations and SARS-Cov-2 Infection : Data from the EPICOVID19 Web-Based Survey

The present study aims to evaluate whether influenza and pneumococcal vaccinations are associated with positive nasopharyngeal swab (NPS) testing to detect SARS-CoV-2. Data from the Italian cross-sectional web-based survey (EPICOVID19), based on a self-selection sample of individuals aged 6518, were considered. The probability of a positive SARS-CoV-2 NPS test result as a function of influenza or anti-pneumococcal vaccination was evaluated using multivariable logistic regression, stratifying analysis by age (<65 years, 6565 years). From April 2020, 170,731 individuals aged <65 years and 28,097 6565 years filled out the EPICOVID19 questionnaire. Influenza and anti-pneumococcal vaccinations were received, respectively, by 16% and 2% of those <65 years, and by 53% and 13% of those 6565 years. SARS-CoV-2 NPS testing was reported by 6680 participants. Anti-pneumococcal and influenza vaccinations were associated with a decreased probability of a SARS-CoV-2 NPS positive test in the younger participants (OR = 0.61, 95% CI 0.41\u20130.91; OR = 0.85, 95%CI 0.74\u20130.98; respectively). A significantly lower probability of a positive test result was detected in the individuals 6565 years who received anti-pneumococcal vaccination (OR = 0.56, 95%CI 0.33\u20130.95). These results need to be confirmed by further investigations, but they are relevant given the probable coexistence of influenza, bacterial infections, and COVID-19 over the coming autumn\u2013winter season

Promoting healthy teenage behaviour across three European countries through the use of a novel smartphone technology platform, PEGASO fit for future: study protocol of a quasi-experimental, controlled, multi-Centre trial

BackgroundBehaviour change interventions targeting physical activity, diet, sleep and sedentary behaviour of teenagers show promise when delivered through smartphones. However, to date there is no evidence of effectiveness of multicomponent smartphone-based interventions. Utilising a user-centred design approach, we developed a theory-based, multi-dimensional system, PEGASO Fit For Future (PEGASO F4F), which exploits sophisticated game mechanics involving smartphone applications, a smartphone game and activity sensors to motivate teenagers to take an active role in adopting and maintaining a healthy lifestyle. This paper describes the study protocol to assess the feasibility, usability and effectiveness (knowledge/awareness and behavioural change in lifestyle) of the PEGASO system.MethodsWe are conducting a quasi-experimental controlled cluster trial in 4 sites in Spain, Italy, and UK (England, Scotland) over 6 months. We plan to recruit 525, in a 2:1 basis, teenagers aged 13–16 years from secondary schools. The intervention group is provided with the PEGASO system whereas the comparison group continues their usual educational routine. Outcomes include feasibility, acceptance, and usability of the PEGASO system as well as between and within group changes in motivation, self-reported diet, physical activity, sedentary and sleeping behaviour, anthropometric measures and knowledge about a healthy lifestyle.DiscussionPEGASO F4F will provide evidence into the cross-cultural similarities and differences in the feasibility, acceptability and usability of a multi-dimensional smartphone based behaviour change intervention for teenagers. The study will explore facilitating factors, challenges and barriers of engaging teenagers to adapt and maintain a healthy lifestyle when using smartphone technology. Positive results from this ICT based multi component intervention may have significant implications both at clinical level, improving teenagers health and at public health level since it can present an influential tool against the development of chronic disease during adulthood.Trial registrationhttps://clinicaltrials.gov Registration number: NCT02930148, registered 4 October 2016

A mobile phone intervention to improve obesity-related health behaviors of adolescents across Europe: An iterative co-design and feasibility study

Background:Promotion of physical activity, healthy eating, adequate sleep and reduced sedentary behavior in adolescents is a major priority globally given the current increase in population health challenges of non-communicable diseases and risk factors such as obesity. Adolescents are highly engaged with mobile technology, but the challenge is to engage them with mHealth technology. Recent innovations in mobile technology provide opportunities to promote a healthy lifestyle in adolescents. An increasingly utilized approach to facilitate increased engagement with mHealth technology is to involve potential users in the creation of the technology.Objective:To describe the process of and findings from co-designing and prototyping components of the PEGASO Fit for Future mHealth intervention for adolescents from different cultural backgrounds.Methods:Seventy-four adolescents aged 13-16 years from Spain, Italy and the United Kingdom participated in the co-design of the PEGASO Fit for Future technology. In three iterative cycles over 12 months, participants were involved in the co-design, refinement and feasibility testing of a system consisting of diverse mobile applications with a variety of functions and facilities to encourage healthy weight promoting behaviors. In the first iteration, participants attended a single workshop session and were presented with mock-ups or early-version prototypes of different apps for user requirements assessment and review. During the second iteration, prototypes of all apps were tested by participants for one week at home or school. In the third iteration, further developed prototypes were tested for two weeks. Participants’ use experience feedback and development ideas were collected from focus groups and completion of questionnaires.Results:For the PEGASO Fit for Future technology to be motivating and engaging, participants suggested that it should (i) allow personalization of the interface, (ii) have age-appropriate and easy to understand language (of icons, labels, instructions, notifications), (iii) provide easily accessible tutorials on how to use the app or navigate through a game, (iv) present a clear purpose and end goal, (v) have an appealing and self-explanatory reward systems, (vi) offer variation in gamified activities within apps and the serious game, and (vii) allow to seek peer-support and connect with peers for competitive activities within the technology.Conclusions:Incorporating adolescents’ preferences, the PEGASO Fit for Future technology combines the functions of a self-monitoring, entertainment, advisory, and social support tool. This was the first study demonstrating that it is possible to develop a complex smartphone-based technological system applying the principles of co-design to mHealth technology with adolescents across three countries. Findings of this study informed the development of an mHealth system for healthy weight promotion to be tested in a controlled multi-national pilot trial

COMBATCOVID-19: Analisi multi-scala e modellistica computazionale della rete di trasmissione del COVID-19 per la valutazione e il controllo della pandemia in Italia

The COVID19 pandemic is impacting millions across the globe, with huge negative consequences in society and economy. A crucial open problem is what type of interventions should be applied to efficiently combat the spread, avoiding future waves while minimizing the negative impacts. Efficient interventions require a profound understanding of the transmission network across different regions of the country. Here, we propose an ambitious interdisciplinary research for the development and implementation of data-driven modeling, machine learning, numerical analysis and control methods, to support decision- and policy makers to assess and control the pandemic in Italy. Il progetto era tra i nove finanziati su 226 presentati, presentati in qualità di capofila dall' Università degli studi di Napoli Federico II (https://www.unina.it/-/25809546-covid-19-la-federico-ii-in-prima-linea-per-contrastarne-la-diffusione)

Sensitivity analysis of the MASLWR helical coil steam generator using TRACE

Accurate simulation of transient system behavior of a nuclear power plant is the goal of systems code calculations, and the evaluation of a code’s calculation accuracy is accomplished by assessment and validation against appropriate system data. These system data may be developed either from a running system prototype or from a scaled model test facility, and characterize the thermal hydraulic phenomena during both steady state and transient conditions. The identification and characterization of the relevant thermal hydraulic phenomena, and the assessment and validation of thermal hydraulic systems codes, has been the objective of multiple international research programs. The validation and assessment of the best estimate thermal hydraulic system code TRACE against the Multi-Application Small Light-Water Reactor (MASLWR) Natural Circulation (NC), helical coil Steam Generator (SG), Nuclear Steam Supply System (NSSS) design is a novel effort, and is the topic of the present paper. Specifically, the current work relates to the assessment and validation process of TRACE code against the NC database developed in the OSUMASLWR test facility. This facility was constructed at Oregon State University under a U.S. Department of Energy grant in order to examine the NC phenomena of importance to the MASLWR reactor design, which includes an integrated helical coil SG. Test series have been conducted at this facility in order to assess the behavior of the MASLWR concept in both normal and transient operation and to assess the passive safety systems under transient conditions. In particular the test OSU-MASLWR-002 investigated the primary system flow rates and secondary side steam superheat, used to control the facility, for a variety of core power levels and Feed Water (FW) flow rates. This paper illustrates a preliminary analysis, performed by TRACE code, aiming at the evaluation of the code capability in predicting NC phenomena and heat exchange from primary to secondary side by helical SG in superheated condition and to evaluate the fidelity of various methods to model the OSU-MASLWR SG in TRACE. The analyses of the calculated data show that the phenomena of interest of the OSU-MASLWR-002 test are predicted by the code and that one of the reasons of the instability of the superheat condition of the fluid at the outlet of the SG is the equivalent SG model used to simulate the different group of helical coils. The SNAP animation model capability is used to show a direct visualization of selected calculated data