Preterm neonates with respiratory distress syndrome : ventilator-induced lung injury and oxidative stress

Ventilator-induced lung injury is well recognized, and appropriate arterial saturation target is unknown, so gentle modes of ventilation and minimizing oxidative stress have been well studied. Our objective was to analyze any association between the oxygen levels at blood sampling and plasma levels of the interleukins IL-6, IL-1β, IL-10, and IL-8 and TNF-α in preterm newborns under mechanical ventilation (MV) in their first two days. Methods. Prospective cohort including neonates with severe respiratory distress. Blood samples were collected right before and 2 hours after invasive MV. For analysis purposes, newborns were separated according to oxygen requirement: low oxygen (≤30%) and high oxygen (>30%) groups. Interleukins were measured using a commercially available kit. Results. 20 neonates (gestational age 32.2 ± 3 weeks) were evaluated. Median O2 saturation levels pre-MV were not different in both oxygen groups. In the high oxygen group, IL-6, IL-8, and TNF-α plasma levels increased significantly after two hours under MV. Conclusions. Despite the small sample studied, data showed that there is a relationship between VILI, proinflammatory cytokines, and oxygen-induced lung injury, but a study considering oxidative marker measurements is needed. It seems that less oxygen may keep safer saturation targets playing a less harmful role

Plasma cytokine levels fall in preterm newborn infants on nasal CPAP with early respiratory distress

Introduction Early nCPAP seems to prevent ventilator-induced lung injury in humans, although the pathophysiological mechanisms underlying this beneficial effect have not been clarified yet. Objective To evaluate plasma levels IL-1β, IL-6, IL-8, IL-10, and TNF-α immediately before the start of nCPAP and 2 hours later in preterm infants. Methods Prospective cohort including preterm infants with 28 to 35 weeks gestational age with moderate respiratory distress requiring nCPAP. Extreme preemies, newborns with malformations, congenital infections, sepsis, surfactant treatment, and receiving ventilatory support in the delivery room were excluded. Blood samples were collected right before and 2 hours after the start of nCPAP. Results 23 preterm infants (birth weight 1851±403 grams; GA 32.3±1.7 weeks) were treated with nCPAP. IL-1β, IL-10, TNF-α levels were similar, IL-8 levels were reduced in 18/23 preterm infants and a significant decrease in IL-6 levels was observed after 2 hours of nCPAP. All newborns whosemothers received antenatal steroids had lower cytokine levels at the onset of nCPAP than those whosemothers didn’t receive it; this effect was not sustained after 2 hours of nCPAP. Conclusion Early use nCPAP is not associated with rising of plasma pro-inflammatory cytokines and it seems to be a less harmful respiratory strategy for preterm with moderate respiratory distress

Acute petrified myocardium associated with meningococcal sepsis in childhood-onset systemic lupus erythematous: a fatal case

Acute petrified myocardium associated with septic shock, diagnosed by autopsy has rarely been described. A 15-year-old adolescent male was diagnosed with childhood-onset systemic lupus erythematosus. One year later, he was hospitalized with fever, myalgia, headache, arthritis, vomiting, dyspnea and was diagnosed with sepsis secondary to bronchopneumonia and meningitis. Blood culture identified Neisseria meningitidis serogroup Y. Despite antibiotics and intensive therapeutic measures, he died after 29 days of hospitalization. The autopsy revealed necrotic cardiomyocytes with dystrophic calcification and interstitial fibrosis

Frequency of sexual dysfunction in women with rheumatic diseases

OBJETIVO: Pesquisar a prevalência de disfunção sexual em mulheres com as seguintes doenças reumáticas: lúpus eritematoso sistêmico, artrite reumatoide, esclerose sistêmica, síndrome antifosfolípide e fibromialgia acompanhados no Ambulatório de Reumatologia do Hospital Universitário de Brasília e do Hospital das Clínicas da Universidade de São Paulo. MÉTODOS: Utilizou-se o índice de função sexual feminina (Female Sexual Function Index - FSfi), questionário que contém 19 itens que avaliam 6 domínios: desejo sexual, excitação sexual, lubrificação vaginal, orgasmo, satisfação sexual e dor. RESULTADOS: Foram avaliadas 163 pacientes. A média de idade foi de 40,4 anos. A prevalência de disfunção sexual foi de 18,4%, porém 24,2% das pacientes não apresentaram atividade sexual nas últimas 4 semanas. Entre os subgrupos, as pacientes com fibromialgia e esclerose sistêmica foram as com maior índice de disfunção sexual (33%). Se excluirmos as pacientes sem atividade sexual, a taxa de disfunção sobe para 24,2%. CONCLUSÃO: A prevalência de disfunção sexual encontrada neste estudo foi menor em relação à literatura. Entretanto, 24,2% das pacientes entrevistadas negaram atividade sexual nas últimas 4 semanas, o que pode ter contribuído para o baixo índice de disfunção sexual.OBJECTIVE: To assess the prevalence of sexual dysfunction in women followed up at the Rheumatology Outpatient Clinic of the Hospital Universitário de Brasília and of the Hospital das Clínicas da Universidade de São Paulo with the following rheumatic diseases: systemic lupus erythematosus; rheumatoid arthritis; systemic sclerosis; antiphospholipid antibody syndrome; and fibromyalgia. METHODS: The Female Sexual Function Index (FSfi), obtained by applying a 19-item questionnaire that assesses six domains (sexual desire, arousal, vaginal lubrication, orgasm, sexual satisfaction and pain), was used. RESULTS: This study assessed 163 patients. The mean age was 40.4 years. The prevalence of sexual dysfunction was 18.4%, but 24.2% of the patients reported no sexual activity over the past 4 weeks. Patients with fibromyalgia and systemic sclerosis had the highest sexual dysfunction index (33%). Excluding patients with no sexual activity, the sexual dysfunction rate reaches 24.2%. CONCLUSION: The prevalence of sexual dysfunction found in this study was lower than that reported in the literature. However, 24.2% of the patients interviewed reported no sexual activity over the past 4 weeks, which might have contributed to the low sexual dysfunction index found

Incorporating biodiversity responses to land use change scenarios for preventing emerging zoonotic diseases in areas of unknown host-pathogen interactions

The need to reconcile food production, the safeguarding of nature, and the protection of public health is imperative in a world of continuing global change, particularly in the context of risks of emerging zoonotic disease (EZD). In this paper, we explored potential land use strategies to reduce EZD risks using a landscape approach. We focused on strategies for cases where the dynamics of pathogen transmission among species were poorly known and the ideas of “land-use induced spillover” and “landscape immunity” could be used very broadly. We first modeled three different land-use change scenarios in a region of transition between the Cerrado and the Atlantic Forest biodiversity hotspots. The land-use strategies used to build our scenarios reflected different proportions of native vegetation cover, as a proxy of habitat availability. We then evaluated the effects of the proportion of native vegetation cover on the occupancy probability of a group of mammal species and analyzed how the different land-use scenarios might affect the distribution of species in the landscape and thus the risk of EZD. We demonstrate that these approaches can help identify potential future EZD risks, and can thus be used as decision-making tools by stakeholders, with direct implications for improving both environmental and socio-economic outcomes

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio