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Tuberculosis and diabetes comorbidity remains a challenge for global public health.To analyze the sociodemographic profile and the diagnostic and treatment characteristics of tuberculosis cases with and without diabetes in Brazil.This is a cross-sectional study with data from the Notifiable Diseases Information System and the Hypertension and Diabetes Mellitus Primary Care Clinical Management System, from 2007 to 2011. We adopted a Poisson regression model with robust variance to estimate the prevalence ratios (PR) and their respective confidence intervals.We found the studied comorbidity in 7.2% of cases. The hierarchical model showed a higher PR among women (PR=1.31; 95% confidence interval - 95%CI 1.27-1.35); a greater association in the age groups 40-59 years and ≥ 60 years (PR=11.70; 95%CI 10.21-13.39, and PR=17.49; 95%CI 15.26-20.05), and in those with positive sputum smear microscopy results - 1st sample (PR=1.40; 95%CI 1.35-1.47). Return after treatment discontinuation and treatment discontinuation were inversely associated with comorbidity (PR=0.66; 95%CI 0.57-0.76 and PR=0.79; 95%CI 0.72-0.87).The findings, such as the inverse relationship with tuberculosis treatment discontinuation in the group of people with comorbidity, reinforce the importance of integrated actions in health services to change the scenario of this challenging comorbidity.A comorbidade tuberculose e diabetes ainda continua um desafio para a saúde pública mundial.Analisar o perfil sociodemográfico e as características do diagnóstico e tratamento dos casos de tuberculose com e sem diabetes no Brasil.Estudo transversal, com dados do Sistema de Informação de Agravos de Notificação e do Sistema de Gestão Clínica de Hipertensão Arterial e Diabetes Mellitus da Atenção Básica, no período de 2007 a 2011. Modelo de regressão de Poisson com variância robusta foi utilizado para estimar a razão de prevalência (RP) e seus respectivos intervalos de confiança.A comorbidade estudada foi encontrada em 7,2% dos casos. Modelo hierárquico mostrou maior RP entre indivíduos do sexo feminino (RP = 1,31; intervalo de confiança de 95% - IC95% 1,27 - 1,35); maior associação nas faixas etárias 40-59 anos e ≥ 60 anos (RP = 11,70; IC95% 10,21 - 13,39 e RP = 17,49; IC95% 15,26-20,05) e com resultado positivo da baciloscopia - primeira amostra (RP = 1,40; IC95% 1,35 - 1,47). Reingresso após abandono e abandono foram inversamente associados na comorbidade (RP = 0,66; IC95% 0,57 - 0,76 e RP = 0,79; IC95% 0,72 - 0,87).Os achados, como a relação inversa do abandono ao tratamento da tuberculose no grupo das pessoas com comorbidade, reforçam a importância de ações integradas nos serviços para mudar o cenário dessa desafiadora comorbidade. more...

To estimate the human immunodeficiency virus (HIV) viral load in the Brazilian population and to assess the potential impact of highly active antiretroviral therapy (HAART) in reducing new infections to build evidences and to gather information to support health policies.Spatial analysis and modeling tools were used to describe the existing patterns of the viral load density, using the Kernel method. Data on viral load and treatment were retrieved from the databases Laboratory Tests Control System (SISCEL), which contains information on the individual's history of viral load, and Medication Logistics Control System (SICLOM), which controls the dispensing of drugs used for antiretroviral therapy.It was observed that the community viral load (CVL) decreased progressively from 2007 to 2011, accompanied by a decrease of more than 32% in the mean CVL (CVLM) - 22,900 copies/mL in 2007 versus 15,418 copies/mL in 2011. During this period, there was a reduction of CVLM in all regions of Brazil, although North and Northeast showed, respectively, CVLM 1.7 and 1.5 times higher than that in the Southeast region. A comparison between the individuals who underwent and who did not undergo HAART showed an increase of up to 3.9 times in 2011 in the viral load among those who did not undergo the therapy.The approach presented in this study indicates the existence of clusters with high concentrations. The use of Kernel in the identification of clusters proved to be a good tool for exploratory analysis, enabling the risk identification in certain geographic areas without the usual political and administrative divisions. more...