Therapeutic Effects of Vitamin D in Asthma and Allergy

In recent years, low vitamin D status has been proposed as a putative risk factor for allergic diseases. A growing body of literature reports low vitamin D levels in atopic patients and supports an association between vitamin D deficiency and risk of adverse asthma and allergies outcomes. Therefore, it has been speculated that vitamin D supplementation may either prevent or reduce the risk of allergic diseases. Birth cohort studies addressing the role of vitamin D intake during pregnancy have shown conflicting results regarding allergy outcomes in offspring. Currently, only a few studies have tried to supplement vitamin D in asthmatic patients, often as an add-on therapy to standard asthma controller medications, and results are not all consistent. There is emerging data to show that vitamin D can enhance the antiinflammatory effects of glucocorticoids and potentially be used as adjuvant therapy in steroid-resistant asthma. Recent in vivo data suggest that vitamin D supplementation may also reduce the severity of atopic dermatitis. This review examines the existing relevant literature focusing on vitamin D supplementation in the treatment of allergic diseases

Pulmonary adenocarcinomas presenting as ground-glass opacities on multidetector CT: three-dimensional computer-assisted analysis of growth pattern and doubling time

We aimed to evaluate the growth pattern and doubling time (DT) of pulmonary adenocarcinomas exhibiting ground-glass opacities (GGOs) on multidetector computed tomography (CT). METHODS The growth pattern and DT of 22 pulmonary adenocarcinomas exhibiting GGOs were retrospectively analyzed using three-dimensional semiautomatic software. Analysis of each lesion was based on calculations of volume and mass changes and their respective DTs throughout CT follow- up. Three-dimensional segmentation was performed by a single radiologist on each CT scan. The same observer and another radiologist independently repeated the segmentation at the baseline and the last CT scan to determine the variability of the measurements. The relationships among DTs, histopathology, and initial CT features of the lesions were also analyzed. RESULTS Pulmonary adenocarcinomas presenting as GGOs exhibited different growth patterns: some lesions grew rapidly and some grew slowly, whereas others alternated between periods of growth, stability, or shrinkage. A significant increase in volume and mass that exceeded the coefficient of repeatability of interobserver variability was observed in 72.7% and 84.2% of GGOs, respectively. The volume-DTs and mass-DTs were heterogeneous throughout the follow-up CT scan (range, -4293 to 21928 and -3113 to 17020 days, respectively), and their intra- and interobserver variabilities were moderately high. The volume-DTs and mass-DTs were not correlated with the initial CT features of GGOs; however, they were significantly shorter in invasive adenocarcinomas (P = 0.002 and P = 0.001, respectively). CONCLUSION Pulmonary adenocarcinomas exhibiting GGOs show heterogeneous growth patterns with a trend toward a progressive increase in size. DTs may be useful for predicting tumor aggressiveness

AS TAXAS DE EVASÃO E RETENÇÃO NO CURSO DE GRADUAÇÃO EM ADMINISTRAÇÃO DA UNIVERSIDADE FEDERAL DA FRONTEIRA SUL CAMPUS CHAPECÓ

A evasão universitária é um fator que desencadeia grande impacto social, não se restringindo apenas a aspectos econômicos, como também de natureza profissional e educacional. Para isso, análises e ações constantes devem ser efetuadas para entender e abordar as causas com efetividade. Com base nisso, este trabalho perquisou e analisou, por meio de um estudo de caso, a evasão e a retenção discente do Curso de Graduação em Administração da Universidade Federal da Fronteira Sul (UFFS), Campus Chapecó. Além disso, análises quantitativas e qualitativas, foram utilizados os registros disponíveis no Sistema de Gestão Acadêmica (SGA) da instituição para a efetivação do estudo. Logo, verificou-se que a taxa de evasão para o curso é de 52,06% e a retenção de 47,94%. A principal forma de evasão identificada acontece pelo cancelamento institucional da matrícula do aluno, correspondendo a 72,4% das evasões, sendo identificada com maior frequência no curso com turno matutino. Já a maior retenção, 56,09%, corresponde a parcela de alunos que permanecem vinculados a instituição de maneira ativa, fenômeno justificado pela recente constituição da graduação abordada, sendo o curso com turno noturno com a maior taxa de retenção, 24,64%

Projeto para desenvolvimento do Simulador Health Simulator

Este artigo apresenta o embasamento prático-teórico e a metodologia utilizada no desenvolvimento de um simulador de casos clínicos do tipo Paciente Virtual denominado Health Simulator. O diferencial, além da experiência da equipe interdisciplinar envolvida, é o uso de métodos  ágeis de desenvolvimento, a utilização de uma engine e sua integração com formalismos da computação.  Desta forma, este projeto traz a realidade clínica ao estudante de medicina de forma atrativa e atual, em conjunto com os diversos benefícios do uso deste tipo de ferramenta

Planck 2013 results. XXII. Constraints on inflation

We analyse the implications of the Planck data for cosmic inflation. The Planck nominal mission temperature anisotropy measurements, combined with the WMAP large-angle polarization, constrain the scalar spectral index to be ns = 0:9603 _ 0:0073, ruling out exact scale invariance at over 5_: Planck establishes an upper bound on the tensor-to-scalar ratio of r < 0:11 (95% CL). The Planck data thus shrink the space of allowed standard inflationary models, preferring potentials with V00 < 0. Exponential potential models, the simplest hybrid inflationary models, and monomial potential models of degree n _ 2 do not provide a good fit to the data. Planck does not find statistically significant running of the scalar spectral index, obtaining dns=dln k = 0:0134 _ 0:0090. We verify these conclusions through a numerical analysis, which makes no slowroll approximation, and carry out a Bayesian parameter estimation and model-selection analysis for a number of inflationary models including monomial, natural, and hilltop potentials. For each model, we present the Planck constraints on the parameters of the potential and explore several possibilities for the post-inflationary entropy generation epoch, thus obtaining nontrivial data-driven constraints. We also present a direct reconstruction of the observable range of the inflaton potential. Unless a quartic term is allowed in the potential, we find results consistent with second-order slow-roll predictions. We also investigate whether the primordial power spectrum contains any features. We find that models with a parameterized oscillatory feature improve the fit by __2 e_ _ 10; however, Bayesian evidence does not prefer these models. We constrain several single-field inflation models with generalized Lagrangians by combining power spectrum data with Planck bounds on fNL. Planck constrains with unprecedented accuracy the amplitude and possible correlation (with the adiabatic mode) of non-decaying isocurvature fluctuations. The fractional primordial contributions of cold dark matter (CDM) isocurvature modes of the types expected in the curvaton and axion scenarios have upper bounds of 0.25% and 3.9% (95% CL), respectively. In models with arbitrarily correlated CDM or neutrino isocurvature modes, an anticorrelated isocurvature component can improve the _2 e_ by approximately 4 as a result of slightly lowering the theoretical prediction for the ` <_ 40 multipoles relative to the higher multipoles. Nonetheless, the data are consistent with adiabatic initial conditions

Erratum to nodal management and upstaging of disease. Initial results from the Italian VATS Lobectomy Registry

[This corrects the article DOI: 10.21037/jtd.2017.06.12.]

Histaminergic system in brain disorders: lessons from the translational approach and future perspectives

Histamine and its receptors were first described as part of immune and gastrointestinal systems, but their presence in the central nervous system and importance in behavior are gaining more attention. The histaminergic system modulates different processes including wakefulness, feeding, and learning and memory consolidation. Histamine receptors (H1R, H2R, H3R, and H4R) belong to the rhodopsin-like family of G protein-coupled receptors, present constitutive activity, and are subjected to inverse agonist action. The involvement of the histaminergic system in brain disorders, such as Alzheimer’s disease, schizophrenia, sleep disorders, drug dependence, and Parkinson’s disease, is largely studied. Data obtained from preclinical studies point antagonists of histamine receptors as promising alternatives to treat brain disorders. Thus, clinical trials are currently ongoing to assess the effects of these drugs on humans. This review summarizes the role of histaminergic system in brain disorders, as well as the effects of different histamine antagonists on animal models and humans

An explainable model of host genetic interactions linked to COVID-19 severity

We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated with severity, with the training of multiple supervised classifiers, to predict severity based on screened features. Feature importance analysis from tree-based models allowed us to identify 16 variants with the highest support which, together with age and gender covariates, were found to be most predictive of COVID-19 severity. When tested on a follow-up cohort, our ensemble of models predicted severity with high accuracy (ACC = 81.88%; AUCROC = 96%; MCC = 61.55%). Our model recapitulated a vast literature of emerging molecular mechanisms and genetic factors linked to COVID-19 response and extends previous landmark Genome-Wide Association Studies (GWAS). It revealed a network of interplaying genetic signatures converging on established immune system and inflammatory processes linked to viral infection response. It also identified additional processes cross-talking with immune pathways, such as GPCR signaling, which might offer additional opportunities for therapeutic intervention and patient stratification. Publicly available PheWAS datasets revealed that several variants were significantly associated with phenotypic traits such as "Respiratory or thoracic disease", supporting their link with COVID-19 severity outcome.A multifaceted computational strategy identifies 16 genetic variants contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing dataset of a cohort of Italian patients