Evaluating the Effect of Climate on Viral Respiratory Diseases Among Children Using AI.

: Respiratory viral infections (RVIs) exhibit seasonal patterns influenced by biological, ecological, and climatic factors. Weather variables such as temperature, humidity, and wind impact the transmission of droplet-borne viruses, potentially affecting disease severity. However, the role of climate in predicting complications in pediatric RVIs remains unclear, particularly in the context of climate-change-driven extreme weather events.

Caring for those who care: key challenges and improvement opportunities for health professionals working with children with disabilities.

This paper investigates the challenges faced by health professionals working with children with disabilities, with the aim of identifying areas for improvement. Employing a focus group method, the study involved knowledge levelling, discussions, problematization, cause formulation, and validation. A diverse team of ten professionals participated, including physiotherapists, speech therapists, occupational therapists, psychologists, nursing technicians, and social workers.

Determinants of antibiotic prescription in children with adenovirus respiratory tract infections.

We performed this study to evaluate factors associated with antibiotic prescriptions in children with adenovirus infection, since no studies have attempted to address this aspect in the pediatric population. Retrospective study of children younger than 18 years of age tested positive for adenovirus on a syndromic nasopharyngeal test from 2018 to 2023. We compared the need of pediatric intensive care unit (PICU), invasive ventilation, and other respiratory support, viral etiologies, clinical presentations, imaging, and laboratory results in the precovid (2018-2019) and covid (2020-2022) period.

Long-Term effects of physical activity on weight loss, metabolic parameters and blood pressure in subjects undergoing bariatric surgery: A 5-year follow-up study.

Background: bariatric surgery stands as an effective intervention for weight loss and improved metabolic control in obesity, although over time there is a proportion of weight regain and type-2-diabetes (T2D) relapse.

Aims: to explore the role of physical activity (PA) after surgery and its impact on metabolic parameters during a 5-year follow-up.

Methods: 148 individuals who underwent bariatric surgery completed scheduled examinations over 5-years.

Regioselective C(sp)-C(sp) Coupling Mediated by Classical and Rollover Cyclometalation.

By taking advantage of a sequence of oxidative addition/reductive elimination reactions, Pt(II) cyclometalated derivatives are able to promote a rare C(sp)-C(sp) bond coupling, resulting in the production of novel methyl-substituted pyridines and bipyridines. Starting from 6-phenyl-2,2'-bipyridine, the step-by-step full sequence of reactions has been followed, leading to the unprecedented 3-methyl-6-phenyl-2,2'-bipyridine, which was isolated and fully characterized. The synthesis involves the following steps: (1) rollover cyclometalation to give the starting complex [Pt(N^C)(DMSO)Me]; (2) the synthesis of a more electron-rich complex [Pt(N^C)(PPh)Me] by the substitution of DMSO with triphenylphosphine; (3) oxidative addition with methyl iodide to give the Pt(IV) complex [Pt(N^C)(PPh)(Me)(I)]; (4) iodide abstraction with silver tetrafluoborate to give an unstable pentacoordinate intermediate, which rapidly evolves through a carbon-carbon reductive coupling, forming a new C(sp)-C(sp) bond; (5) finally, the extrusion and characterization of the newly formed 3-methyl-6-phenyl-2,2'-bipyridine.

Proposal of a new clinical protocol for evaluating fatigability in adult SMA patients.

Objective: Spinal Muscular Atrophy (SMA) is a genetic neuromuscular disease affecting the lower motor neuron, carrying a significant burden on patients' general motor skills and quality of life, characterized by a great variability in phenotypic expression. As new therapeutic options make their appearance on the scene, sensitive clinical tools and outcome measures are needed, especially in adult patients undergoing treatment, in which the expected clinical response is a mild improvement or stabilization of disease progression.

Methods: Here, we describe a new functional motor scale specifically designed for evaluating the endurance dimension for the upper and lower limbs in adult SMA patients.

Static and group-based trajectory analyses of factors associated with non-adherence in patients with multiple sclerosis newly-initiating once- or twice-daily oral disease-modifying therapy.

Background: Increased understanding of adherence may facilitate optimal targeting of interventions.

Objective: To utilize group-based trajectory modeling (GBTM) to understand longitudinal patterns of adherence and factors associated with non-adherence in patients with multiple sclerosis (MS) newly-initiating once-/twice-daily oral disease-modifying therapy (DMT) (fingolimod, dimethyl fumarate, or teriflunomide).

Methods: Commercial plan data were analyzed using proportion of days covered (PDC) to evaluate factors associated with non-adherence.

Making heads or tails of body inversion effects: Do heads matter?

Observers are better at discriminating upright bodies than inverted bodies, and this body inversion effect (BIE) is reliable with whole figures (bodies with heads), but not with bodies presented without heads or the heads occluded suggesting that heads may be key to BIEs. Some studies present whole figures and bodies without heads between groups, and BIEs are not found for bodies without heads [1]. Other studies present whole figures and bodies without heads in the same blocks and BIEs are found with bodies without heads [2].

Effects of Prenatal Nicotine, THC, or Co-Exposure on Cognitive Behaviors in Adolescent Male and Female Rats.

Introduction: Although there has been a decrease in the prevalence of tobacco smoking, exposure to nicotine during pregnancy remains a substantial problem worldwide. Further, given the recent escalation in e-cigarette use and legalization of cannabis, it has become essential to understand the effects of nicotine and cannabinoid co-exposure during early developmental stages.

Aims And Methods: We systematically examined the effects of nicotine and/or THC prenatal exposure on cognitive behaviors in male and female offspring.

Obesity in Postmenopausal Breast Cancer Patients: It Is Time to Improve Actions for a Healthier Lifestyle. The Results of a Comparison Between Two Italian Regions With Different "Presumed" Lifestyles.

Background: Adult body fatness is a convincing risk factor for postmenopausal breast cancer. With the aim to compare the different breast cancer (BC) features in Northern and Southern Italy, we investigated the relationship between BMI and BC characteristic in two groups of patients referred in the Modena and Lecce breast units.

Materials And Methods: A retrospective analysis of a continuous series of BC patients referred to the Città di Lecce Hospital and the Modena Cancer Center, from January 2019 to December 2020 was performed.

Anthropogenic Drivers Leading to Population Decline and Genetic Preservation of the Eurasian Griffon Vulture ().

Human activities are having increasingly devastating effects on the health of marine and terrestrial ecosystems. Studying the adaptive responses of animal species to changes in their habitat can be useful in mitigating this impact. Vultures represent one of the most virtuous examples of adaptation to human-induced environmental changes.

Pharmacokinetic and pharmacodynamic properties of aerosolized ("vaped") THC in adolescent male and female rats.

Rationale: Adolescent exposure to ∆-tetrahydrocannabinol (THC), the psychotropic constituent of cannabis, might affect brain development, and in rodent models leads to long-term behavioral and physiological alterations. Yet, the basic pharmacology of this drug in adolescent rodents, especially when ingested via ecologically relevant routes like aerosol inhalation, commonly referred to as "vaping," is still poorly characterized. Moreover, sex differences exist in THC metabolism, kinetics, and behavioral effects, but these have not been rigorously examined after vapor dosing in adolescents.

Genetic characterization and implications for conservation of the last autochthonous Mouflon population in Europe.

Population genetic studies provide accurate information on population structure, connectivity, and hybridization. These are key elements to identify units for conservation and define wildlife management strategies aimed to maintain and restore biodiversity. The Mediterranean island of Sardinia hosts one of the last autochthonous mouflon populations, descending from the wild Neolithic ancestor.

E-cigarette vape and lung ACE2 expression: Implications for coronavirus vulnerability.

Evidence in humans suggests a correlation between nicotine smoking and severe respiratory symptoms with COVID-19 infection. In lung tissue, angiotensin-converting enzyme 2 (ACE2) appears to mechanistically underlie viral entry. Here, we investigated whether e-cigarette vapor inhalation alters ACE2 and nicotinic acetylcholine receptor (nAChR) expression in male and female mice.

Open partial horizontal laryngectomy and adjuvant (chemo)radiotherapy for laryngeal squamous cell carcinoma: results from a multicenter Italian experience.

Purpose: To evaluate the functional and oncologic outcomes of adjuvant (chemo)radiation [(C)RT] after open partial horizontal laryngectomies (OPHLs).

Methods: Multicenter retrospective evaluation of 130 patients (116 males, 14 females) submitted between 1995 and 2017 to OPHL Types II and III for laryngeal cancer and receiving adjuvant (C)RT for one or more of the following risk factors at histopathologic examination of the surgical specimen: pT4a and/or > pN2a categories, close/positive resection margins, or presence of both perineural (PNI) and lympho-vascular invasion (LVI). The primary study endpoints were evaluation of the presence of tracheostomy and/or gastrostomy at last follow-up, and calculation of laryngo-esophageal dysfunction-free survival (LEDFS).

18-FDG PET for large vessel vasculitis diagnosis and follow-up.

Objectives: Large vessel vasculitis (LVV) are chronic inflammatory diseases that affect arteries. While a mere clinical-serological approach does not seem sensitive either in the initial evaluation nor in long-term monitoring, 18-FDG positron emission tomography (18-FDG PET) is currently considered a useful assessment tool in LVV. We aimed at exploring the utility of 18-FDG, compared with traditional assessments, in the short- and long-term follow-up of patients with LVV.

Mitochondrial D-loop Sequence Variability in Three Native Insular Griffon Vulture () Populations from the Mediterranean Basin.

The islands of Sardinia, Crete, and Cyprus are hosting the last native insular griffon populations in the Mediterranean basin. Their states have been evaluated from "vulnerable" to "critically endangered". The sequence analysis of molecular markers, particularly the mtDNA D-loop region, provides useful information in studying the evolution of closely related taxa and the conservation of endangered species.

Fingerprinting of anti-alpha enolase antibodies in systemic sclerosis.

Objectives: Anti-alpha enolase antibodies have been detected in systemic sclerosis (SSc), but little is known on their fine specificity and their predictive value on single disease manifestations. The aim of this work is to perform an epitope mapping of alpha enolase by means of truncated recombinant proteins and to analyse the clinico-serological correlations of anti-alpha enolase antibodies in SSc patients.

Methods: Thirty-eight SSc patients were recruited and fully clinically and serologically characterised.

Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy.

Purpose: Variability in patient treatment responses can be a barrier to effective care. Utilization of available patient databases may improve the prediction of treatment responses. We evaluated machine learning methods to predict novel, individual patient responses to pregabalin for painful diabetic peripheral neuropathy, utilizing an agent-based modeling and simulation platform that integrates real-world observational study (OS) data and randomized clinical trial (RCT) data.

Identification of an ancestral haplotype in the mitochondrial phylogeny of the ovine haplogroup B.

Background: European mouflon () has been reintroduced in mainland Europe since the 18th-century sourcing from the Sardinian and Corsican autochthonous mouflon populations. The European mouflon is currently considered the feral descendent of the Asian mouflon (), and the result of first wave of sheep domestication occurred 11,000 years ago in the Fertile Crescent, and brought to Corsica and Sardinia ca. 6,000 years ago, where they still live as autochthonous populations.

Assessing the Value of Time Series Real-World and Clinical Trial Data vs. Baseline-Only Data in Predicting Responses to Pregabalin Therapy for Patients with Painful Diabetic Peripheral Neuropathy.

Background And Objective: Treatment challenges necessitate new approaches to customize care to individual patient needs. Integrating data from randomized controlled trials and observational studies may reduce potential covariate biases, yielding information to improve treatment outcomes. The objective of this study was to predict pregabalin responses, in individuals with painful diabetic peripheral neuropathy, by examining time series data (lagged inputs) collected after treatment initiation vs.

Correction: Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy.

[This corrects the article DOI: 10.1371/journal.pone.

Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy.

Prior work applied hierarchical clustering, coarsened exact matching (CEM), time series regressions with lagged variables as inputs, and microsimulation to data from three randomized clinical trials (RCTs) and a large German observational study (OS) to predict pregabalin pain reduction outcomes for patients with painful diabetic peripheral neuropathy. Here, data were added from six RCTs to reduce covariate bias of the same OS and improve accuracy and/or increase the variety of patients for pain response prediction. Using hierarchical cluster analysis and CEM, a matched dataset was created from the OS (N = 2642) and nine total RCTs (N = 1320).