Caracterizar os aspectos demográficos e sociais e o ônus econômico do traumatismo craniencefálico no sistema público de saúde brasileiro na última década. Analisaram-se os dados provenientes da base de dados do Departamento de Informática do Sistema Único de Saúde referentes ao período entre janeiro de 2008 e dezembro de 2019. Entre 2008 e 2019 ocorreram, em média, no Brasil, 131.014,83 internações por traumatismo craniencefálico ao ano, com incidência de 65,54 por 100 mil habitantes. Deve-se salientar a elevada incidência de traumatismo craniencefálico em adultos idosos (acima de 70 anos), acompanhada de altas taxas de mortalidade. Além disso, há também elevada incidência de traumatismo craniencefálico em adultos jovens (20 a 29 anos e 30 a 39 anos). Os dados aqui apresentados demonstram uma proporção de traumatismos craniencefálicos de 3,6 homens/mulheres. Embora se acredite que os dados apresentados subestimem a incidência e mortalidade associadas com o traumatismo craniencefálico no Brasil, este estudo pode ajudar na implantação de futuras estratégias de promoção da saúde para a população brasileira e mundial, com o objetivo de diminuir a incidência, a mortalidade e os custos do traumatismo craniencefálico.

Schizophrenia and common mental disorders are noteworthy social and economic concern worldwide. Epidemiologic studies on the impact of specific mental disorders in emerging countries are scarce. Objectives: We aimed to characterize the demographic, social, and economic burden of schizophrenia and common mental disorders patients in the health system in Brazil. Methods: Data on these conditions in Brazil between 2008 and 2019 were collected through the website of the Departamento de Informática do Sistema Único de Saúde (Information Technology Department of the Unified Health System - DATASUS) maintained by the Brazilian Ministry of Health. Mean annual hospital admissions were 154,009.67, and cumulative incidence of 77.44 admissions per 100,000 inhabitants. Results: Average annual hospital expenses were US$ 67,216,056.04, with an average admission cost of US$ 432.58. The most affected age groups were older adults albeit younger individuals showed a trend towards increase of occurrences in recent years. There were a higher number of admissions in men compared to women. Conclusions: We consider the results obtained important to assist in evaluating and guiding public policies regarding the prevention and treatment in health systems.

Mitochondria are organelles of eukaryotic cells delimited by two membranes and cristae that consume oxygen to produce adenosine triphosphate (ATP), and are involved in the synthesis of vital metabolites, calcium homeostasis, and cell death mechanisms. Strikingly, normal mitochondria function as an integration center between multiple conditions that determine neural cell homeostasis, whereas lesions that lead to mitochondrial dysfunction can desynchronize cellular functions, thus contributing to the pathophysiology of traumatic brain injury (TBI). In addition, TBI leads to impaired coupling of the mitochondrial electron transport system with oxidative phosphorylation that provides most of the energy needed to maintain vital functions, ionic homeostasis, and membrane potentials. Furthermore, mitochondrial metabolism produces signaling molecules such as reactive oxygen species (ROS), regulating calcium levels and controlling the expression profile of intrinsic pro-apoptotic effectors influenced by TBI. Hence, the set of these functions is widely referred to as ‘mitochondrial function’, although the complexity of the relationship between such components limits such a definition. In this review, we present mitochondria as a therapeutic target, focus on TBI, and discuss aspects of mitochondrial structure and function.

Context: Intermittent fasting (IF) and calorie restriction (CR) have gained interest as dietary strategies due to their potential for weight loss and multiple metabolic benefits. These strategies are often accompanied by exercise in an attempt to improve body composition and physical performance. However, further research is crucial to understanding whether or not physical performance is affected by the expected weight loss and related body composition changes in individuals on IF and CR, even when exercise is combined. Objective: We aimed to systematically evaluate the effects of IF and CR on exercise performance and body composition in adults aged 18 to 65 years. Data Source: A systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. A systematic review was conducted up to April 2024 by searching electronic databases, including PubMed, Web of Science, and Scopus. There was no limit on publication dates. Data Extraction: The search explored the impact of IF and CR combined with exercise vs. exercise alone (control) on exercise performance outcomes: VO_2max, handgrip strength, bench press strength, knee extensor strength, leg press strength, countermovement jump (CMJ), 400 m walk test, and gait speed; body weight, body mass index (BMI), and body composition: fat-free mass (FFM), fat mass (FM), and body fat percentage (BFP). Analyses included calculation of weighted mean difference (WMD), standardized mean difference (SMD), and 95% confidence intervals (CIs) to assess outcomes. Data Analysis: The meta-analysis included a total of 35 studies, ranging from 4 to 52 weeks and involving 1266 participants. The results showed that IF (hypocaloric or eucaloric diet) and CR combined with exercise increased handgrip strength [WMD = 1.707 kg, p = 0.01] compared to exercise alone. Moreover, IF and CR combined with exercise did not significantly affect VO_2max [SMD = 0.005, p = 0.94], bench press strength [WMD = 0.377 kg, p = 0.778], knee extensor strength [WMD = −4.729 kg, p = 0.12], leg press strength [WMD = −2.874 kg, p = 0.415], countermovement jump [WMD = −0.226 cm, p = 0.80], 400 m walk test performance [WMD = −8.794 s, p = 0.06], or gait speed [WMD = 0.005 m/s, p = 0.82] compared to exercise alone. Moreover, IF and CR combined with exercise decreased body weight [WMD = −4.375 kg, p = 0.001], BMI [WMD = −1.194 kg·m⁻², p = 0.001], FFM [WMD = −1.653 kg, p = 0.001], FM [WMD = −2.858 kg, p = 0.001], BFP [WMD = −0.826%, p = 0.001] compared to exercise alone. Conclusions: IF (hypocaloric or eucaloric) and CR can be effectively integrated into exercise training without negatively impacting most measures of physical performance, while significantly enhancing weight loss and adiposity-related outcomes. The findings from this meta-analysis involving both athletes and non-athletes suggest that weight loss induced by IF and CR combined with exercise does not necessarily result in reduced physical performance. In real-world scenarios, however, different outcomes are conceivable, as body composition, physical capacity, diet and exercise can vary considerably based on individual conditions.

BACKGROUND The increase in severe traumatic brain injury (sTBI) incidence is a worldwide phenomenon, resulting in a heavy disease burden in the public health systems, specifically in emerging countries. The shock index (SI) is a physiological parameter that indicates cardiovascular status and has been used as a tool to assess the presence and severity of shock, which is increased in sTBI. Considering the high mortality of sTBI, scrutinizing the predictive potential of SI and its variants is vital. AIM To describe the predictive potential of SI and its variants in sTBI. METHODS This study included 71 patients (61 men and 10 women) divided into two groups: Survival (S; n = 49) and Non-survival (NS; n = 22). The responses of blood pressure and heart rate (HR) were collected at admission and 48 h after admission. The SI, reverse SI (rSI), rSI multiplied by the Glasgow Coma Score (rSIG), and Age multiplied SI (AgeSI) were calculated. Group comparisons included Shapiro-Wilk tests, and independent samples t -tests. For predictive analysis, logistic regression, receiver operator curves (ROC) curves, and area under the curve (AUC) measurements were performed. RESULTS No significant differences between groups were identified for SI, rSI, or rSIG. The AgeSI was significantly higher in NS patients at 48 h following admission (S: 26.32 ± 14.2, and NS: 37.27 ± 17.8; P = 0.016). Both the logistic regression and the AUC following ROC curve analysis showed that only AgeSI at 48 h was capable of predicting sTBI outcomes. CONCLUSION Although an altered balance between HR and blood pressure can provide insights into the adequacy of oxygen delivery to tissues and the overall cardiac function, only the AgeSI was a viable outcome-predictive tool in sTBI, warranting future research in different cohorts.