Use of nutritional supplements based on melatonin, tryptophan and vitamin B6 (Melamil Tripto®) in children with primary chronic headache, with or without sleep disorders: a pilot study.

BACKGROUND: Headache is one of the main complaints in pediatric neurology. Exogenous melatonin has been shown to be useful and safe in improving sleep-wake cycles and sleep quality in children. Tryptophan as well plays a key role in sleep regulation. So far, no studies tried to analyze the effects of a combination of both melatonin and tryptophan in treating chronic headache in children affected also by night-time awakenings. METHODS: Thirty-four children with a diagnosis of chronic headache (with or without sleep disorders) have been enrolled. The study was articulated in two steps: 1) each child was observed for one month without any intervention; 2) children have been then randomized into two groups: the "ME-group", which received the nutritional supplement melatonin for two months and the "MET-group", which received the nutritional supplements melatonin, tryptophan, and vitamin B6 for two months. RESULTS: In terms of changes in number of headache events, responders in the ME-group were 91.7% and those in the MET-group were 66.7% (P=0.113). In terms of changes in number of night awakenings, in the ME group, mean number at baseline, after 30 days, and after 60 days were 3.6±3.2, 3.2±3.5, and 2.7±3.4 (P=0.495). In the MET group, mean number of night awakenings was 7.4±8.1, 4.0±4.4, and 3.3±2.9 (P=0.041). CONCLUSIONS: Using either nutritional supplement for two months can help in decreasing the monthly number of headache episodes and night awakenings. The addition of tryptophan and vitamin B6 appears to have stronger influence on night awakenings reduction than melatonin only.

Controlled impact evaluation of a birth registration intervention, Burkina Faso.

OBJECTIVE: To evaluate the impact of the introduction of secondary civil registration centres on birth registrations within 60 days of birth, in Burkina Faso. METHODS: The faith-based organization Sant'Egidio supported the inauguration of secondary birth registration centres within seven health centres in Réo from July 2015 and four health centres in Godyr from February 2015, at which delivery and vaccination services were available. We calculated the number of timely registrations per 1000 population before and after the launch of the intervention in both the intervention and control municipalities. We used a logistic regression model to evaluate the probability of non-registration as a function of the health centre services used and various demographic and health characteristics, obtained through health registers data and interviews. FINDINGS: Compared with the previous 12 months, the number of timely birth registrations in Réo and Godyr rose from 502 to 2094 (317.1%) and from 267 to 793 (197.0%) during the first 12 months of the intervention. In the two control municipalities, the numbers were unchanged. Infants whose mothers attended health centres for delivery, but did not return for vaccinations, had the lowest proportions of birth registration (69.0%; 294/426; in Réo and 70.2%; 40/57 in Godyr). Infants of mothers who were not interviewed were more likely to not having a timely birth registration (in Réo odds ratio, OR: 6.25; 95% confidence interval, CI: 4.10-9.52 and in Godyr OR: 25.64; 95% CI: 4.31-166.67). CONCLUSION: Introduction of secondary registration centres within health centres increased timely birth registrations.

OPTICAL COHERENCE TOMOGRAPHY AND INFRARED IMAGES OF ASTROCYTIC HAMARTOMAS NOT REVEALED BY FUNDUSCOPY IN TUBEROUS SCLEROSIS COMPLEX.

PURPOSE: To detect, describe, and classify the morphologic characteristics of astrocytic hamartomas in tuberous sclerosis complex, using both spectral-domain optical coherence tomography (OCT) and infrared images. METHODS: Ten subjects (20 eyes) with tuberous sclerosis complex underwent a complete ophthalmologic examination and multimodality imaging with spectral-domain OCT and infrared images. The imaging protocol included a 30°scan angle of the posterior pole and of the four quadrants. Line scans, detail, raster, and posterior pole patterns were used. The identified astrocytic hamartomas were described and characterized qualitatively and quantitatively. RESULTS: Forty-four hamartomas were detected in 8 patients. In five cases, lesions were bilateral. Thirty of these hamartomas had not been revealed by previous ophthalmoscopy. Through multimodality imaging, it was possible to define multiple lesions with characteristic optical reflective qualities. All the 44 hamartomas were measured and morphologically characterized in terms of the type of tumor, retinal and/or vitreous involvement, calcifications, and posterior optical shadowing. CONCLUSION: The combined imaging with spectral-domain OCT and infrared images improves the detection of hamartomas if compared with the spectral-domain OCT technique alone. Moreover, a new subtype of hamartoma is proposed to complete a previous classification based on OCT.

Agomelatine Improves Apathy in Frontotemporal Dementia.

BACKGROUND/AIMS: Apathy is the most common initial symptom of frontotemporal dementia (FTD) and has been linked to frontal-subcortical dopaminergic system dysfunction. No pharmacological therapy has been approved for the treatment of apathy, but, on the basis of its physiopathological mechanism, we suspected that increasing prefrontal dopaminergic innervation could improve this disabling symptom. METHODS: We evaluated a group of 24 nondepressed patients with a diagnosis of the behavioral variant of FTD, in order to determine the effectiveness on apathy of agomelatine, an antidepressant with MT1 and MT2 receptor agonism and 5-HT2C receptor antagonism; the latter leads to an increase in prefrontal dopaminergic and noradrenergic tone. To try to tease out the effects of 5-HT2C antagonism on apathy, patients were randomized, using a cross-over design, to receive either agomelatine 50 mg/day or sustained release melatonin 10 mg/day for 10 weeks in a double-blind procedure. At the end of the follow-up period, subjects receiving melatonin switched to agomelatine for the following 10 weeks. RESULTS: Agomelatine, but not melatonin, was associated with a significant reduction of apathy in FTD subjects and of caregiver distress due to patients' apathy. The switch from melatonin to agomelatine was associated with a reduction in apathetic behavior. Agomelatine was well-tolerated by all enrolled subjects. CONCLUSIONS: Our data, albeit preliminary, suggest that agomelatine could represent a novel useful approach to the treatment of apathy in FTD patients.

Souvenaid reduces behavioral deficits and improves social cognition skills in frontotemporal dementia: a proof-of-concept study.

BACKGROUND: Souvenaid™ is a nutraceutical compound thought to positively enhance synaptic function. In line with this mechanism of action, Souvenaid™ has been shown to improve cognitive function in subjects with mild Alzheimer's disease in randomized clinical trials. To date, however, the potential of Souvenaid™ to improve cognitive functioning in subjects with other neurodegenerative conditions also characterized by synaptic loss has not been explored. OBJECTIVE: To evaluate the impact of Souvenaid™ on executive functions, social cognition and behavioral disturbances in subjects with the behavioral variant of frontotemporal dementia (bv-FTD). METHODS: Twenty-six subjects with bv-FTD were enrolled in the study and randomized to Souvenaid™ (125 ml/day) or placebo groups. After 12 weeks, subjects were switched between the two groups. All subjects, blinded to treatment, underwent clinical and cognitive evaluations at enrollment, after 12 weeks and after 24 weeks. RESULTS: Treatment with Souvenaid™ was associated with a significant reduction of behavioral symptoms and an increase in Theory of Mind skills compared to placebo, which both returned to baseline when Souvenaid™ was discontinued. Souvenaid™ did not have an effect on executive functions. CONCLUSIONS: Our results provide evidence of the potential of Souvenaid™ therapy for the treatment of behavioral disturbances and social cognition skills in FTD.

Is tuberous sclerosis complex-associated autism a preventable and treatable disorder?

BACKGROUND: Tuberous sclerosis complex (TSC) is a genetic disorder caused by inactivating mutations in the TSC1 and TSC2 genes, causing overactivation of the mechanistic (previously referred to as mammalian) target of rapamycin (mTOR) signaling pathway in fetal life. The mTOR pathway plays a crucial role in several brain processes leading to TSC-related epilepsy, intellectual disability, and autism spectrum disorder (ASD). Pre-natal or early post-natal diagnosis of TSC is now possible in a growing number of pre-symptomatic infants. DATA SOURCES: We searched PubMed for peer-reviewed publications published between January 2010 and April 2023 with the terms "tuberous sclerosis", "autism", or "autism spectrum disorder"," animal models", "preclinical studies", "neurobiology", and "treatment". RESULTS: Prospective studies have highlighted that developmental trajectories in TSC infants who were later diagnosed with ASD already show motor, visual and social communication skills in the first year of life delays. Reliable genetic, cellular, electroencephalography and magnetic resonance imaging biomarkers can identify pre-symptomatic TSC infants at high risk for having autism and epilepsy. CONCLUSIONS: Preventing epilepsy or improving therapy for seizures associated with prompt and tailored treatment strategies for autism in a sensitive developmental time window could have the potential to mitigate autistic symptoms in infants with TSC.

Isolated theory of mind deficits and risk for frontotemporal dementia: a longitudinal pilot study.

OBJECTIVE: Recent data suggest that theory of mind (ToM) deficits represent an early symptom of the behavioural variant of frontotemporal dementia (bvFTD). However, longitudinal data on the natural history of subjects presenting with isolated ToM deficits are lacking. The aim of the study was to verify if isolated ToM deficits represent an at-risk state for prefrontal dysfunction and bvFTD. METHODS: A population of healthy subjects (n=4150, age range: 50-60 years) completed a clinical and neuropsychological evaluation including the Reading the Mind in the Eyes Test (RMET), a widely used ToM task. From this group, we recruited a low-RMET group (n=83) including subjects with RMET scores lower than 2 SDs but an otherwise normal neuropsychological evaluation and a control group. All subjects underwent evaluation at baseline and after 2 years. RESULTS: Subjects in the low-RMET group showed decline in prefrontal functions at follow-up. Moreover, at follow-up 12 subjects in the low-RMET group presented with findings suggestive of bvFTD. Neuropsychological performance was stable in the control group. CONCLUSIONS: Our data suggest that isolated ToM deficits could represent an at-risk situation for the development of future prefrontal dysfunction and bvFTD. ToM evaluation should be included in neuropsychological protocols aimed to evaluate the early phases of dementia.

Using Machine Learning to Explore Shared Genetic Pathways and Possible Endophenotypes in Autism Spectrum Disorder.

Autism spectrum disorder (ASD) is a heterogeneous condition, characterized by complex genetic architectures and intertwined genetic/environmental interactions. Novel analysis approaches to disentangle its pathophysiology by computing large amounts of data are needed. We present an advanced machine learning technique, based on a clustering analysis on genotypical/phenotypical embedding spaces, to identify biological processes that might act as pathophysiological substrates for ASD. This technique was applied to the VariCarta database, which contained 187,794 variant events retrieved from 15,189 individuals with ASD. Nine clusters of ASD-related genes were identified. The 3 largest clusters included 68.6% of all individuals, consisting of 1455 (38.0%), 841 (21.9%), and 336 (8.7%) persons, respectively. Enrichment analysis was applied to isolate clinically relevant ASD-associated biological processes. Two of the identified clusters were characterized by individuals with an increased presence of variants linked to biological processes and cellular components, such as axon growth and guidance, synaptic membrane components, or transmission. The study also suggested other clusters with possible genotype-phenotype associations. Innovative methodologies, including machine learning, can improve our understanding of the underlying biological processes and gene variant networks that undergo the etiology and pathogenic mechanisms of ASD. Future work to ascertain the reproducibility of the presented methodology is warranted.

Prevalence and risk factors of posttraumatic stress symptoms among Internally Displaced Christian couples in Erbil, Iraq.

Background: Research about the impact of war and displacement experiences on the mental health of Internally Displaced People (IDPs) has recently grown. However, a limited number of studies focus on minorities. The objective of the present preliminary study was to estimate the prevalence of posttraumatic stress symptoms (PTSSs) among IDPs who live outside camps and belong to the Christian minority in Iraq, and to identify possible predictors. Methods: Overall, 108 internally displaced Christians (54 married couples) participated in the study. Traumatic events and PTSSs were assessed using the Harvard Trauma Questionnaire. Multivariable linear regression models were used to investigate possible predictors of PTSSs. Multivariable logistic regression models have been developed to estimate the odds of presenting PTSSs. Results: Results demonstrated high rates of trauma exposure, with all participants having experienced at least three traumatic events. The estimated prevalence of PTSSs was 20.3%. A low economic status, the number of traumatic events, and a second experience of displacement were associated with increased PTSSs. Five traumatic events were identified as the main predictors of PTSSs. Conclusion: Findings from the current preliminary study indicated the impact of war-related traumatic events on IDPs' mental health and the negative effects of post-displacement experiences. These findings may have important implications for setting up psychosocial interventions, as well as for further promoting physical and mental health services among these populations.

Screen exposure and sleep: How the COVID-19 pandemic influenced children and adolescents - A questionnaire-based study.

BACKGROUND: COVID-19 pandemic has drastically increased the exposure to electronic devices in children, influencing their lifestyle and their sleep. This study was conducted to explore the relationship between the augmented screen exposure and sleep habits in children during and after the pandemic. METHODS: Using the "Google Forms" tool, we created an online questionnaire addressed to parents of children and adolescents aged 2-18 years. We explored the use of screens before and during/after the lockdown and assessed the presence of sleep disturbances through the Sleep Disturbance Scale for Children (SDSC), referring to the period before and during/after COVID-19 pandemic. RESULTS: We collected 1084 valid questionnaires (median age 8.5 ± 4.1 years). We observed a significant increase in screens exposure for school (72%) and for leisure (49.7%) during the pandemic. We reported an increased sleep disturbances prevalence from 22.1% before the pandemic to 33.9% during the outbreak (p < 0.001). Even before the pandemic, the highest risks for sleep disorders were related to daily screen time for school reasons (OR 1.65, p < 0.001) and total screen time after 6 p.m. (OR 1.59, p < 0.001). The augmented exposure to screens for any reasons during the pandemic was significantly related to an increase of sleep disorders, especially regarding the increased exposure after 6 p.m. (OR 1.67, p < 0.001). CONCLUSIONS: The augmented use of electronic devices was recognized to be a significant predisposing factor in increasing the rate of sleep disorders during and after the pandemic, thus sleep hygiene recommendations should be highlighted to improve sleep habits.

Unemployment Status Subsequent to Cancer Diagnosis and Therapies: A Systematic Review and Meta-Analysis.

The purpose of our study is to examine whether cancer and treatments are associated with job loss or changes in employment status. Eight prospective studies were included in the systematic review and meta-analysis, with a population aged 18-65 years, analyzing treatment regimen and psychophysical and social status in post-cancer follow-up of at least 2 years. In the meta-analysis, a comparison was made between recovered unemployed cases and cases from a standard reference population. Results are summarized graphically using a forest plot. We showed that cancer and subsequent treatment are risk factors for unemployment with an overall relative risk of 7.24 (lnRR: 1.98, 95% CI: 1.32-2.63) or for change in employment status. Individuals undergoing chemotherapy and/or radiation treatment and those with brain and colorectal cancers are more likely to develop disabilities that negatively affect the risk of unemployment. Finally, variables such as low level education, female sex, older age, and being overweight before starting therapy are associated with higher risk of unemployment. In the future, it will be necessary for people with cancer to have access to specific health, social welfare, and employment support programs. In addition, it is desirable that they become more involved in their choice of therapeutic treatment.

COVID-19 infection rate and mortality in a local health authority in Italy: Differences between home-dwelling and residential older adults.

Objectives: The health emergency following the COVID-19 pandemic has seen hospital structures collapse and put in crisis nursing homes and other long-term care facilities worldwide. Our study aims to analyze and comparing the data relating to the infection rate and mortality for COVID-19 in the elderly over 75 living in the long-term care facilities and in the home-dwelling population. Study design: The study adopts a retrospective cohort design and was conducted in Italy, in the Lazio region, in the area of the Local Health Authority (LHA) named "Azienda Sanitaria Locale Roma 6". Methods: Data were extracted from the COVID-19 surveillance system of the Lazio region. The primary outcome is the SARS-CoV-2 incidence rate in the period between 1st September 2020 and 31st May 2021. The secondary outcome is the mortality rate. Results: Living in a residential versus a home-dwelling setting was associated with a higher infection rate (OR 5.03, CI 4.67-5.43; p < 0.001). The mortality rate was higher for individuals living in a residential setting (19.3 %, CI 17.1%-21.7 %) than those living at home (13.0 %, CI 11.7%-14.5 %). Conclusions: These findings confirm the high mortality in Long-Term Care Facilities and provide new information on the infection rate. The containment measures adopted in the Long-Term Care Facilities during the COVID-19 pandemic, show limited correlation with reduced risk of contagion, but could have created unintended harm for the residents by increasing the social isolation and all other causes of mortality.

A novel, integrated approach for understanding and investigating Healthcare Associated Infections: A risk factors constellation analysis.

INTRODUCTION: Healthcare-associated infections (HAIs) and antimicrobial resistance (AMR) are major public health threats in upper- and lower-middle-income countries. Electronic health records (EHRs) are an invaluable source of data for achieving different goals, including the early detection of HAIs and AMR clusters within healthcare settings; evaluation of attributable incidence, mortality, and disability-adjusted life years (DALYs); and implementation of governance policies. In Italy, the burden of HAIs is estimated to be 702.53 DALYs per 100,000 population, which has the same magnitude as the burden of ischemic heart disease. However, data in EHRs are usually not homogeneous, not properly linked and engineered, or not easily compared with other data. Moreover, without a proper epidemiological approach, the relevant information may not be detected. In this retrospective observational study, we established and engineered a new management system on the basis of the integration of microbiology laboratory data from the university hospital "Policlinico Tor Vergata" (PTV) in Italy with hospital discharge forms (HDFs) and clinical record data. All data are currently available in separate EHRs. We propose an original approach for monitoring alert microorganisms and for consequently estimating HAIs for the entire period of 2018. METHODS: Data extraction was performed by analyzing HDFs in the databases of the Hospital Information System. Data were compiled using the AREAS-ADT information system and ICD-9-CM codes. Quantitative and qualitative variables and diagnostic-related groups were produced by processing the resulting integrated databases. The results of research requests for HAI microorganisms and AMR profiles sent by the departments of PTV from 01/01/2018 to 31/12/2018 and the date of collection were extracted from the database of the Complex Operational Unit of Microbiology and then integrated. RESULTS: We were able to provide a complete and richly detailed profile of the estimated HAIs and to correlate them with the information contained in the HDFs and those available from the microbiology laboratory. We also identified the infection profile of the investigated hospital and estimated the distribution of coinfections by two or more microorganisms of concern. Our data were consistent with those in the literature, particularly the increase in mortality, length of stay, and risk of death associated with infections with Staphylococcus spp, Pseudomonas aeruginosa, Klebsiella pneumoniae, Clostridioides difficile, Candida spp., and Acinetobacter baumannii. Even though less than 10% of the detected HAIs showed at least one infection caused by an antimicrobial resistant bacterium, the contribution of AMR to the overall risk of increased mortality was extremely high. CONCLUSIONS: The increasing availability of health data stored in EHRs represents a unique opportunity for the accurate identification of any factor that contributes to the diffusion of HAIs and AMR and for the prompt implementation of effective corrective measures. That said, artificial intelligence might be the future of health data analysis because it may allow for the early identification of patients who are more exposed to the risk of HAIs and for a more efficient monitoring of HAI sources and outbreaks. However, challenges concerning codification, integration, and standardization of health data recording and analysis still need to be addressed.

Pro-active monitoring and social interventions at community level mitigate the impact of coronavirus (COVID-19) epidemic on older adults' mortality in Italy: A retrospective cohort analysis.

BACKGROUND: The COVID-19 epidemic in Italy has severely affected people aged more than 80, especially socially isolated. Aim of this paper is to assess whether a social and health program reduced mortality associated to the epidemic. METHODS: An observational retrospective cohort analysis of deaths recorded among >80 years in three Italian cities has been carried out to compare death rate of the general population and "Long Live the Elderly!" (LLE) program. Parametric and non-parametric tests have been performed to assess differences of means between the two populations. A multivariable analysis to assess the impact of covariates on weekly mortality has been carried out by setting up a linear mixed model. RESULTS: The total number of services delivered to the LLE population (including phone calls and home visits) was 34,528, 1 every 20 day per person on average, one every 15 days during March and April. From January to April 2019, the same population received one service every 41 days on average, without differences between January-February and March-April. The January-April 2020 cumulative crude death rate was 34.8‰ (9,718 deaths out of 279,249 individuals; CI95%: 34.1-35.5) and 28.9‰ (166 deaths out of 5,727 individuals; CI95%:24.7-33.7) for the general population and the LLE sample respectively. The general population weekly death rate increased after the 11th calendar week that was not the case among the LLE program participants (p<0.001). The Standardized Mortality Ratio was 0.83; (CI95%: 0.71-0.97). Mortality adjusted for age, gender, COVID-19 weekly incidence and prevalence of people living in nursing homes was lower in the LLE program than in the general population (p<0.001). CONCLUSIONS: LLE program is likely to limit mortality associated with COVID-19. Further studies are needed to establish whether it is due to the impact of social care that allows a better clients' adherence to the recommendations of physical distancing or to an improved surveillance of older adults that prevents negative outcomes associated with COVID-19.

Predictors of Emergency Room Access and Not Urgent Emergency Room Access by the Frail Older Adults.

Background: Emergency rooms (ERs) overcrowded by older adults have been the focus of public health policies during the recent COVID-19 outbreak too. This phenomenon needed a change in the nursing care of older frail people. Health policies have tried to mitigate the frequent use of ER by implementing community care to meet the care demands of older adults. The present study aimed to investigate the predictors of emergency room access (ERA) and not-urgent emergency room access (NUERA) of community-dwelling frail older adults in order to provide an indication for out-of-hospital care services. Method: Secondary analysis of an observational longitudinal cohort study was carried out. The cohort consisted of 1,246 community-dwelling frail older adults (over 65 years) in the Latium region in Italy. The ER admission rate was assessed over 3 years from the administration of the functional geriatric evaluation (FGE) questionnaire. The ordinal regression model was used to identify the predictors of ERA and NUERA. Moreover, the ERA and NUERA rate per 100 observations/year was analyzed. Results: The mean age was 73.6 (SD ± 7.1) years, and 53.4% were women. NUERAs were the 39.2% of the ERAs; robust and pre-frail individuals (79.3% of the sample) generated more than two-third of ERAs (68.17%), even if frails and very frails showed the higher ER rates per observation/year. The ordinal logistic regression model highlighted a predictive role on ERAs of comorbidity (OR = 1.13, p < 0.001) and frailty level (OR = 1.29; p < 0.001). Concerning NUERAs, social network (OR 0.54, P = 0.015) and a medium score of pulmo-cardio-vascular function (OR 1.50, P = 0.006) were the predictors. Conclusion: Comorbidity, lack of social support, and functional limitations increase both ERA and NUERA rates generated by the older adult population. Overall, bio-psycho-social frailty represents an indicator of the frequency of ERAs. However, to reduce the number of ERAs, intervention should focus mainly on the robust and pre-frail needs for prevention and care.

Sex Differences in Autism Spectrum Disorder: Repetitive Behaviors and Adaptive Functioning.

Sex differences in restricted and repetitive behaviors (RRBs) in individuals with Autism Spectrum Disorder (ASD) have been explored with mixed findings. We aimed to investigate sex differences in RRBs through a specific measure-i.e., the Repetitive Behavior Scale Revised (RBS-R)-in a sample of preschool-age and school-age children with ASD. Additionally, we evaluated if RRBs were differently related to adaptive functioning within the male and the female age groups. A sample of 210 ASD individuals (3-18 years; 145 males, 65 females) underwent an in-depth assessment including a cognitive, adaptive functioning evaluation (i.e., the Adaptive Behavior Assessment System, Second Edition (ABAS-II)) and RRBs assessment (i.e., RBS-R). No significant sex differences on the RBS-R total score or any RBS-R subscale emerged. Within the group of older participants, RRBs were negatively associated with all adaptive skill domains independently from sex and age. Our results suggest a lack of sex differences in RRBs in our sample. Additionally, our findings highlight the possible negative impact of RRBs on adaptive skills in older individuals with autism, emphasizing the need for autistic individuals of both sexes to undergo an early intervention targeting RRBs, in order to improve their adaptive skills.

The Impact of COVID-19 on the Adaptive Functioning, Behavioral Problems, and Repetitive Behaviors of Italian Children with Autism Spectrum Disorder: An Observational Study.

Children with autism spectrum disorder (ASD) and their families have represented a fragile population on which the extreme circumstances of the COVID-19 outbreak may have doubly impaired. Interruption of therapeutical interventions delivered in-person and routine disruption constituted some of the main challenges they had to face. This study investigated the impact of the COVID-19 lockdown on adaptive functioning, behavioral problems, and repetitive behaviors of children with ASD. In a sample of 85 Italian ASD children (mean age 7 years old; 68 males, 17 females), through a comparison with a baseline evaluation performed during the months preceding COVID-19, we evaluated whether after the compulsory home confinement any improvement or worsening was reported by parents of ASD individuals using standardized instruments (Adaptive Behavior Assessment System (Second Edition), Achenbach Child Behavior Checklist, Repetitive Behavior Scale-Revised). No significant worsening in the adaptive functioning, problematic, and repetitive behaviors emerged after the compulsory home confinement. Within the schooler children, clinical stability was found in reference to both adaptive skills and behavioral aspects, whereas within preschoolers, a significant improvement in adaptive skills emerged and was related to the subsistence of web-delivered intervention, parental work continuance, and online support during the lockdown.

The Effectiveness of Intervening on Social Isolation to Reduce Mortality during Heat Waves in Aged Population: A Retrospective Ecological Study.

BACKGROUND: Heat waves are correlated with increased mortality in the aged population. Social isolation is known as a vulnerability factor. This study aims at evaluating the correlation between an intervention to reduce social isolation and the increase in mortality in the population over 80 during heat waves. METHODS: This study adopted a retrospective ecologic design. We compared the excess mortality rate (EMR) in the over-80 population during heat waves in urban areas of Rome (Italy) where a program to reduce social isolation was implemented, to others where it was not implemented. We measured the mortality of the summer periods from 2015 to 2019 compared with 2014 (a year without heat waves). Winter mortality, cadastral income, and the proportion of people over 90 were included in the multivariate Poisson regression. RESULTS: The EMR in the intervention and controls was 2.70% and 3.81%, respectively. The rate ratio was 0.70 (c.i. 0.54-0.92, p-value 0.01). The incidence rate ratio (IRR) of the interventions, with respect to the controls, was 0.76 (c.i. 0.59-0.98). After adjusting for other variables, the IRR was 0.44 (c.i. 0.32-0.60). CONCLUSIONS: Reducing social isolation could limit the impact of heat waves on the mortality of the elderly population.

Clustering Analysis Supports the Detection of Biological Processes Related to Autism Spectrum Disorder.

Genome sequencing has identified a large number of putative autism spectrum disorder (ASD) risk genes, revealing possible disrupted biological pathways; however, the genetic and environmental underpinnings of ASD remain mostly unanswered. The presented methodology aimed to identify genetically related clusters of ASD individuals. By using the VariCarta dataset, which contains data retrieved from 13,069 people with ASD, we compared patients pairwise to build "patient similarity matrices". Hierarchical-agglomerative-clustering and heatmapping were performed, followed by enrichment analysis (EA). We analyzed whole-genome sequencing retrieved from 2062 individuals, and isolated 11,609 genetic variants shared by at least two people. The analysis yielded three clusters, composed, respectively, by 574 (27.8%), 507 (24.6%), and 650 (31.5%) individuals. Overall, 4187 variants (36.1%) were common to the three clusters. The EA revealed that the biological processes related to the shared genetic variants were mainly involved in neuron projection guidance and morphogenesis, cell junctions, synapse assembly, and in observational, imitative, and vocal learning. The study highlighted genetic networks, which were more frequent in a sample of people with ASD, compared to the overall population. We suggest that itemizing not only single variants, but also gene networks, might support ASD etiopathology research. Future work on larger databases will have to ascertain the reproducibility of this methodology.

Developing a Public Health Monitoring System in a War-torn Region: A Field Report From Iraqi Kurdistan.

Wars, terrorism, and embargos destroyed facilities and shattered the public health system of Iraq. Today, there is limited documented knowledge about the health situation of the Iraqi population, particularly because health data are not systematically collected. Therefore, the capacity of the health system to address the major health problems of the population is considerably reduced. This report describes the implementation, started in 2015, of an electronic system for epidemiological monitoring and health surveillance, designed to collect and manage health care data in Iraqi Kurdistan. The aim of the program is to network all of the main health centers and hospitals of the region, then of the whole country, and to train medical and administrative staff in the management and analysis of health data. In countries recovering from war, a functioning health monitoring system is essential in guiding the development of appropriate public health interventions, a key instrument to prepare the health system to respond to future emergencies.