Changes on risky drinking after the COVID-19 outbreak in Brazil: results from three consecutive web surveys.

INTRODUCTION: Risky drinking (RD) is associated with an increased risk of chronic and infectious diseases, injuries, and violence. This study aimed to assess changes in risky drinking (RD) in Brazil after COVID-19 outbreak, both overall and among individuals with self-reported chronic diseases and mental health disorders. METHODS: We conducted three independent, anonymous web surveys in Brazil including adult participants: S1 (April/2020, n=19,257), S2 (August/2020, n=1,590), and S3 (January/2021, n=859). Participants were recruited through adapted snowball sampling and sponsored social network advertisements. RD was assessed using the Alcohol Use Disorder Identification Test-Concise, designed to identify individuals at risk of alcohol-related problems. Logistic regression analyses with bootstrapping (B=2,000) were performed, with stratification by sex, age, education, employment, household size, and the presence of chronic and mental health conditions, as well as lifestyle factors, to address sample imbalances. RESULTS: The estimated prevalence of RD was 45.8% [95%CI 45.5, 46.1] in S1, 35.3% [95%CI 34.9, 35.6] in S2, and 33.7% [95%CI 33.3, 34.0] in S3. Participants with chronic diseases consistently presented lower RD prevalence across all three surveys, compared to those without such conditions. Conversely, individuals with mental health disorders presented higher RD prevalence than those without such diagnoses in S1 and S2, but not in S3. DISCUSSION: Despite the decrease in RD prevalence, monitoring of alcohol consumption trends remains essential for shaping effective public health policies. Additionally, the observed variations among individuals reporting chronic and mental health disorders highlight the need for targeted interventions in future crises.

Machine learning applied to fMRI patterns of brain activation in response to mutilation pictures predicts PTSD symptoms.

BACKGROUND: The present study aimed to apply multivariate pattern recognition methods to predict posttraumatic stress symptoms from whole-brain activation patterns during two contexts where the aversiveness of unpleasant pictures was manipulated by the presence or absence of safety cues. METHODS: Trauma-exposed participants were presented with neutral and mutilation pictures during functional magnetic resonance imaging (fMRI) collection. Before the presentation of pictures, a text informed the subjects that the pictures were fictitious ("safe context") or real-life scenes ("real context"). We trained machine learning regression models (Gaussian process regression (GPR)) to predict PTSD symptoms in real and safe contexts. RESULTS: The GPR model could predict PTSD symptoms from brain responses to mutilation pictures in the real context but not in the safe context. The brain regions with the highest contribution to the model were the occipito-parietal regions, including the superior parietal gyrus, inferior parietal gyrus, and supramarginal gyrus. Additional analysis showed that GPR regression models accurately predicted clusters of PTSD symptoms, nominal intrusion, avoidance, and alterations in cognition. As expected, we obtained very similar results as those obtained in a model predicting PTSD total symptoms. CONCLUSION: This study is the first to show that machine learning applied to fMRI data collected in an aversive context can predict not only PTSD total symptoms but also clusters of PTSD symptoms in a more aversive context. Furthermore, this approach was able to identify potential biomarkers for PTSD, especially in occipitoparietal regions.

Amyotrophic lateral sclerosis: one or multiple causes?

The Amyotrophic lateral sclerosis (ALS) is the most common form of motor neuron disease in the adulthood, and it is characterized by rapid and progressive compromise of the upper and lower motor neurons. The majority of the cases of ALS are classified as sporadic and, until now, a specific cause for these cases still is unknown. To present the different hypotheses on the etiology of ALS. It was carried out a search in the databases: Bireme, Scielo and Pubmed, in the period of 1987 to 2011, using the following keywords: Amyotrophic lateral sclerosis, motor neuron disease, etiology, causes and epidemiology and its similar in Portuguese and Spanish. It did not have consensus as regards the etiology of ALS. Researches demonstrates evidences as regards intoxication by heavy metals, environmental and occupational causes, genetic mutations (superoxide dismutase 1), certain viral infections and the accomplishment of vigorous physical activity for the development of the disease. There is still no consensus regarding the involved factors in the etiology of ALS. In this way, new research about these etiologies are necessary, for a better approach of the patients, promoting preventive programs for the disease and improving the quality of life of the patients.

Ventilação não invasiva na insuficiência cardíaca / Noninvasive ventilation on heart failure

A ventilação não invasiva (VNI) através do modo CPAP (Continuous positive airway pressure) tem sido empregada como tratamento na insuficiência cardíaca (IC). Todavia, há escassez de evidências sobra a exata utilização desse método na intolerância ao exercício. O objetivo deste estudo foi realizar análise crítica sobre a utilização da VNI nos pacientes om IC, a fim de precisar a eficácia e segurança desse método. Para tal, realizou-se uma busca computadorizada sistemática de estudos clínicos controlados e randomizados sobre o efeito da VNI na IC, no período de 1999 a 2009. Os resultados dos diversos trabalhos incluídos nesta pesquisa confirmaram a eficácia da utilização da VNI com modo CPAP em pacientes com IC aguda...