No abstract

Objectives: to evaluate the temporal trend of hospitalizations for pelvic infammatory disease in Brazil and its regions between 2000 and 2019. Methods: longitudinal ecological study with data from the Hospital Information System. The analysis of temporal trends in hospitalization rates by age group was performed using segmented linear regression (joinpoint regression). Both annual percent change total and by age groups were estimated for Brazil and each region. Results: Brazil had an average reduction of 5.2% per year in the period and the age groups most affected were 20 to 29 and 30 to 39 years. North region had the highest rates and South and Southeast regions, the lowest. Midwest region had the largest annual average reduction (8.1%), followed by the Northeast (5.7%), Southeast (5.0%), North (4.6%) and South (4.3 %). The only age group that showed a significant increase was that of 10 to 19 years in the Southeast in the period from 2008 to 2019 (0.9%) and in the Northeast in the period from 2014 to 2019 (3.3%). Conclusions: hospitalization due to pelvic infammatory disease has significantly decreased in Brazil. The increase observed for adolescents in the Southeast and Northeast in the most recent period points to problems in the prevention and control of sexually transmitted infections in this age group.

Arterial thrombosis and Budd–Chiari syndrome are rare conditions in lung cancer patients. We report the case of a 53-year-old woman who presented with respiratory symptoms, lumbar pain, weight and appetite loss, and an x-ray showing a lung nodule and diffuse micro-opacities. She was diagnosed with lung neoplasia with extensive lung, liver, lymph node and bone metastases. After discharge she was readmitted with a respiratory infection, and as her condition deteriorated, computed tomography was performed and revealed ischaemic areas in the spleen and kidney, and venous thrombosis, related to Budd–Chiari syndrome, with hepatic ischaemia. Despite hypocoagulation, her clinical condition deteriorated and she died soon afterwards.

Introdução: O câncer do colo do útero (CCU) é um dos mais frequentes em mulheres e tem sido relacionado a baixos níveis de desenvolvimento. Objetivo: Investigar a associação entre a taxa de mortalidade padronizada por CCU e a segregação residencial racial. Método: Estudo ecológico que teve como unidade de análise as 438 Regiões de Saúde do Brasil em 2010. O desfecho foi a taxa de mortalidade por CCU em mulheres, padronizada por idade, por 100 mil mulheres. A exposição de interesse foi o Índice de Interação Racial (IIR), uma medida de segregação residencial da dimensão uniformidade, estimada a partir de dados do Censo Demográfico 2010 agregados por setores censitários. O Índice de Desenvolvimento Humano (IDH) foi covariável de controle. A associação entre as variáveis foi analisada por modelo de regressão linear. Resultados: A taxa de mortalidade por CCU teve os maiores valores nas Regiões de Saúde do Norte e do Centro-Oeste, e os menores no Sul e no Sudeste, padrão diferente do IDH e do IIR, com valores menores no Norte e no Nordeste e maiores no Sul e no Sudeste. O IIR teve associação negativa com a taxa de mortalidade; no modelo ajustado pelo IDH, cada aumento de 0,1 no IIR esteve associado à diminuição de 0,6 óbitos por 100 mil mulheres. Conclusão: A segregação residencial racial está associada à mortalidade por CCU. Os indicadores de segregação residencial deveriam ser considerados para inclusão em futuros estudos epidemiológicos como importantes determinantes contextuais do processo saúde-doença.

This article aims to evaluate the association between racial residential segregation and homicide mortality in the state of Minas Gerais (MG), Brazil. We conducted an ecological study in which the units of analysis were municipalities in MG. The outcome was homicide deaths between 2008 and 2012 and the exposure variable was residential segregation measured using the racial interaction index, calculated using data from the 2010 Demographic Census. The covariables were per capita family income and the Gini index. The variables were presented in tables and thematic maps and associations were measured using Bayesian hierarchical models. The results of the model adjusted for per capita family income showed a negative association between the racial interaction index and homicide mortality (coefficient=-1.787; 95%CI=-2.459; -1.119). Homicide mortality was lower in municipalities with higher levels of racial interaction.