Time until tuberculosis recurrence and associated factors in Brazil: a populationbased retrospective cohort study using a linked database.

OBJECTIVE: To calculate the rate of tuberculosis recurrence, estimate its average time until recurrence, and identify factors associated with recurrence in Brazil. METHODS: Retrospective cohort study with a linked database from the Notifiable Diseases Information System. The study included individuals diagnosed with tuberculosis in 2015, focusing on those who experienced their first recurrence within 6.5 years. We estimated the relative risk (RR) and its 95% confidence interval (95%CI), as well as the population attributable fraction (PAF) or the population preventable fraction (PPF) of associated factors. RESULTS: Within a 6.5-year period, 3,253 individuals (6.5%) experienced tuberculosis recurrence, with a median time of 2.2 years. Positively associated factors included: male sex (RR: 1.4; 95%CI 1.3-1.5; PAF: 22.9%), age 30 to 59 years (RR: 3.0; 95%CI 1.6-5.7; PAF: 36.0%), black race (RR: 1.3; 95%CI 1.2-1.5; PAF: 3.5%), mixed race (RR: 1.3; 95%CI 1.2-1.4; PAF: 10.6%), deprivation of liberty (RR: 1.9; 95%CI 1.7-2.1; PAF: 9.1%), pulmonary/mixed clinical form (RR: 1.7; 95%CI 1.4-1.9; PAF: 37.1%), acquired immunodeficiency syndrome diagnosis (RR: 1.8; 95%CI 1.5-1.9; PAF: 4.3%), and alcohol use (RR: 1.2; 95%CI 1.1-1.3; PAF: 2.9%). Negatively associated factors were: 12 or more years of schooling (RR: 0.5; 95%CI 0.4-0.6; PPF: 3.3%) and supervised treatment (RR: 0.9; 95%CI 0.8-0.9; PPF: 4.4%). CONCLUSION: This study revealed high tuberculosis recurrence rates in Brazil, influenced by sociodemographic, compartmental, and social factors, both positively and negatively impacting disease recurrence.

Clusters of heterogeneity of tuberculosis-HIV coinfection in Brazil: a geospatial study.

OBJECTIVE: To analyze the geospatialization of tuberculosis-HIV coinfection in Brazil, from 2010 to 2021, and the correlation with socioeconomic, housing, and health indicators. METHODS: An ecological study of Brazilian municipalities and states, with data from HIV and tuberculosis information systems, previously reported by the Ministry of Health. The crude and smoothed coefficients were calculated by the local empirical Bayesian method of incidence of coinfection per 100,000 inhabitants in the population aged between 18 and 59 years. Univariate (identification of clusters) and bivariate (correlation with 20 indicators) Moran's indices were used. RESULTS: A total of 122,223 cases of coinfection were registered in Brazil from 2010 to 2021, with a mean coefficient of 8.30/100,000. The South (11.44/100,000) and North (9.93/100,000) regions concentrated the highest burden of infections. The coefficients dropped in Brazil, in all regions, in the years of covid-19 (2020 and 2021). The highest coefficients were observed in the municipalities of the states of Rio Grande do Sul, Mato Grosso do Sul, and Amazonas, with high-high clusters in the capitals, border regions, coast of the country. The municipalities belonging to the states of Minas Gerais, Bahia, Paraná, and Piauí showed low-low clusters. There was a direct correlation with human development indices and aids rates, as well as an indirect correlation with the proportion of poor or of those vulnerable to poverty and the Gini index. CONCLUSIONS: The spatial analysis of tuberculosis-HIV coinfection showed heterogeneity in the Brazilian territory and constant behavior throughout the period, revealing clusters with high-burden municipalities, especially in large urban centers and in states with a high occurrence of HIV and/or tuberculosis. These findings, in addition to alerting to the effects of the covid-19 pandemic, can incorporate strategic planning for the control of coinfection, aiming to eliminate these infections as public health problems by 2030.

How has the municipal availability of the GeneXpert®MTB/RIF system affected the detection of drug-resistant tuberculosis in Brazil?

OBJECTIVE: To evaluate the association between the availability of GeneXpert®MTB/RIF in municipalities and the proportion of people who have access to this diagnostic technology for tuberculosis (TB), as well as the resistance detected by the surveillance system in Brazil. METHODS: We analysed 4998 Brazilian municipalities that reported 432,937 new TB cases between 2015 and 2020. We compared municipalities with and without the availability of GeneXpert®MTB/RIF regarding the effective access to GeneXpert®MTB/RIF diagnosis and the prevalence of detected resistance. RESULTS: Municipalities with at least one GeneXpert®MTB/RIF system had three times (95% CI 2.9-3.0) the access to diagnostic tests and 80.4% (95% CI 70.6%-90.2%) higher detection of resistance, compared with municipalities without this technology. We estimated that there have been 1890 cases of undetected resistance during this period in the country. CONCLUSIONS: The availability of GeneXpert®MTB/RIF system in the municipality increased the sensitivity of the surveillance for detecting TB resistance. PUBLIC HEALTH IMPLICATIONS: It is a priority to strengthen laboratory networks and narrow the gap in access to rapid diagnosis in remote areas to improve the detection and control of drug-resistant tuberculosis.

Trends in tuberculosis incidence and mortality coefficients in Brazil, 2011-2019: analysis by inflection points.

Objective: To analyze the temporal trend of tuberculosis incidence and mortality rates in Brazil between 2011 and 2019. Methods: This was an ecological time series study of tuberculosis incidence and mortality rates in Brazil between 2011 and 2019. Data were extracted from the Notifiable Disease Information System and the Mortality Information System, and population estimates were from the Brazilian Institute of Geography and Statistics. Trends were analyzed by Joinpoint regression, which recognizes inflection points for temporal analysis. Results: The average incidence rate of tuberculosis in Brazil in the period was 35.8 cases per 100 000 population. From 2011 to 2015, this coefficient had an annual percentage change of -1.9% (95% CI [-3.4, -0.5]) followed by an increase of 2.4% (95% CI [0.9, 3.9]) until 2019. The average mortality rate between 2011 and 2019 was 2.2 deaths per 100 000 population, with an average annual percentage change of -0.4% (95% CI [-1.0, 0.2]). Amazonas was the only state with an increase in the annual average percentage variation for the incidence rate (3.2%; 95% CI [1.3, 5.1]) and mortality rate (2.7%; 95% CI [1.0, 4.4]) over the years, while Rio de Janeiro state had an increasing inflection for incidence from 2014 to 2019 (2.4%; 95% CI [1.4, 3.5]) and annual average of decreasing percentage variation (-3.5%; 95% CI [-5.0, -1.9]). Conclusions: During the period analyzed, a decreasing trend in incidence was observed between 2011 and 2015, and an increasing trend for the period from 2015 to 2019. On the other hand, no change in the trend for mortality was found in Brazil.

Trends in tuberculosis incidence and mortality coefficients in Brazil, 2011–2019: analysis by inflection points / Tendencias de los coeficientes de incidencia y mortalidad por tuberculosis en Brasil, 2011-2019: análisis por puntos de inflexión / Tendências nos coeficientes de incidência e mortalidade por tuberculose no Brasil, 2011-2019: análise por pontos de inflexão

[ABSTRACT]. Objective. To analyze the temporal trend of tuberculosis incidence and mortality rates in Brazil between 2011 and 2019. Methods. This was an ecological time series study of tuberculosis incidence and mortality rates in Brazil between 2011 and 2019. Data were extracted from the Notifiable Disease Information System and the Mortality Information System, and population estimates were from the Brazilian Institute of Geography and Statistics. Trends were analyzed by Joinpoint regression, which recognizes inflection points for temporal analysis. Results. The average incidence rate of tuberculosis in Brazil in the period was 35.8 cases per 100 000 population. From 2011 to 2015, this coefficient had an annual percentage change of –1.9% (95% CI [–3.4, –0.5]) followed by an increase of 2.4% (95% CI [0.9, 3.9]) until 2019. The average mortality rate between 2011 and 2019 was 2.2 deaths per 100 000 population, with an average annual percentage change of –0.4% (95% CI [–1.0, 0.2]). Amazonas was the only state with an increase in the annual average percentage variation for the incidence rate (3.2%; 95% CI [1.3, 5.1]) and mortality rate (2.7%; 95% CI [1.0, 4.4]) over the years, while Rio de Janeiro state had an increasing inflection for incidence from 2014 to 2019 (2.4%; 95% CI [1.4, 3.5]) and annual average of decreasing percentage variation (–3.5%; 95% CI [–5.0, –1.9]). Conclusions. During the period analyzed, a decreasing trend in incidence was observed between 2011 and 2015, and an increasing trend for the period from 2015 to 2019. On the other hand, no change in the trend for mortality was found in Brazil.

[RESUMEN]. Objetivo. Analizar la tendencia temporal de las tasas de incidencia y mortalidad por tuberculosis en Brasil entre el 2011 y el 2019. Métodos. Este fue un estudio ecológico de series temporales de las tasas de incidencia y mortalidad por tuberculosis en Brasil entre el 2011 y el 2019. Los datos se obtuvieron del Sistema de Información sobre Enfermedades de Notificación Obligatoria y del Sistema de Información sobre Mortalidad, y las estimaciones de población proceden del Instituto Brasileño de Geografía y Estadística. Las tendencias se analizaron mediante el programa de regresión Joinpoint, que reconoce los puntos de inflexión para el análisis temporal. Resultados. La tasa promedio de incidencia de tuberculosis en Brasil para el periodo fue de 35,8 casos por 100 000 habitantes. Entre el 2011 y el 2015, este coeficiente experimentó una variación porcentual anual del -1,9% (intervalo de confianza [IC] del 95% [-3,4, -0,5]), seguida por un aumento del 2,4% (IC 95% [0,9, 3,9]) hasta el 2019. La tasa de mortalidad promedio entre el 2011 y el 2019 fue de 2,2 muertes por cada 100 000 habitantes, con una variación porcentual promedio anual del -0,4% (IC del 95% [-1,0, 0,2]). El estado de Amazonas fue el único que a lo largo de los años presentó un aumento de la variación porcentual promedio anual de la tasa de incidencia (3,2%; IC del 95% [1,3, 5,1]) y de la tasa de mortalidad (2,7%; IC del 95% [1,0, 4,4]), en tanto que, entre el 2014 y el 2019, el estado de Río de Janeiro presentó una inflexión creciente de la incidencia (2,4%; IC del 95% [1,4, 3,5]) y una variación porcentual promedio anual decreciente (-3,5%; IC del 95% [-5,0, -1,9]). Conclusiones. Durante el periodo analizado, se observa una tendencia decreciente de la incidencia entre el 2011 y el 2015, y una tendencia creciente para el periodo comprendido entre el 2015 y el 2019. En cambio, no se encontró ningún cambio en la tendencia de la mortalidad en Brasil.

[RESUMO]. Objetivo. Analisar a tendência temporal das taxas de incidência e mortalidade por tuberculose no Brasil entre 2011 e 2019. Métodos. Estudo ecológico de série temporal das taxas de incidência e mortalidade por tuberculose no Brasil entre 2011 e 2019. Os dados foram extraídos do Sistema de Informação de Agravos de Notificação e do Sistema de Informação sobre Mortalidade, e as estimativas populacionais foram obtidas do Instituto Brasileiro de Geografia e Estatística. As tendências foram analisadas por regressão joinpoint, que reconhece pontos de inflexão para análise temporal. Resultados. A taxa média de incidência da tuberculose no Brasil no período foi de 35,8 casos por 100 mil habitantes. O coeficiente teve uma variação percentual anual de –1,9% (IC 95% [–3,4; –0,5]) de 2011 a 2015, seguida de um aumento de 2,4% (IC 95% [0,9; 3,9]) até 2019. A taxa média de mortalidade entre 2011 e 2019 foi de 2,2 óbitos por 100 mil habitantes, com uma variação percentual anual média de –0,4% (IC 95% [–1,0; 0,2]). Ao longo dos anos, o Amazonas foi o único estado com aumento na variação percentual anual média na taxa de incidência (3,2%; IC 95% [1,3; 5,1]) e na taxa de mortalidade (2,7%; IC 95% [1,0; 4,4]). Já o estado do Rio de Janeiro teve inflexão crescente na incidência de 2014 a 2019 (2,4%; IC 95% [1,4; 3,5]) e média anual de variação percentual decrescente (–3,5%; IC 95% [–5,0; –1,9]). Conclusões. Durante o período analisado, foi observada uma tendência decrescente na incidência entre 2011 e 2015 e crescente entre 2015 e 2019. Por outro lado, não foi encontrada nenhuma mudança na tendência de mortalidade no Brasil.

Factors associated with post-mortem notification of tuberculosis cases in Brazil, 2014. / Fatores associados à notificação pós-óbito de casos de tuberculose no Brasil, 2014.

According to the World Health Organization (WHO), 1.6 million deaths and 10.6 million cases of tuberculosis (TB) were reported worldwide in 2021. If treated opportunely with the recommended therapy, 85% of patients with TB are healed. The occurrence of death from TB without prior notification of the disease indicates failure in the timely access to this effective treatment. Therefore, this study aimed to identify TB cases with post-mortem notification in Brazil. This is a nested case-control study using a cohort of new TB cases reported to the Braziliam Information System for Notificable Diseases (SINAN). This study analyzed the following variables: selected characteristics of the individual (gender, age, race/color, education), the municipality (Municipality Human Development Index - M-HDI, poverty rate, size, region, and municipality), health services, and underlying or associated cause of death. Logistic regression was estimated using a hierarchical analysis model. People with TB aged 60 years or older (OR = 1.43), with low educational level (OR = 1.67), and with malnutrition (OR = 5.54), living in municipalities with low M-HDI and medium population size (OR = 1.26), located in the North Region of Brazil (OR = 2.42) had a higher chance of post-mortem notification. Protective factors were HIV-TB coinfection (OR = 0.75), malignant neoplasms (OR = 0.62), and living in cities with broad primary care coverage (OR = 0.79). Vulnerable populations should be prioritized in order to address the obstacles to the access to TB diagnosis and treatment in Brazil.

Segundo a Organização Mundial da Saúde (OMS), estima-se que 1,6 milhão de mortes e 10,6 milhões de casos de tuberculose (TB) ocorreram no mundo em 2021. Quando a doença é oportunamente tratada com o esquema terapêutico recomendado, 85% dos pacientes se curam. A ocorrência de óbito por TB sem notificação anterior denuncia falhas no acesso ao tratamento oportuno e efetivo. Sendo assim, este estudo objetivou caracterizar os casos de TB notificados pós-óbito no Brasil. Trata-se de estudo caso-controle aninhado na coorte de casos novos de TB notificados ao Sistema de Informação de Agravos de Notificação (SINAN). As variáveis analisadas foram: características selecionadas do indivíduo (sexo, idade, raça/cor, escolaridade), do município (Índice de Desenvolvimento Humano Municipal - IDH-M, taxa de pobreza, porte municipal, região e município), dos serviços de saúde e causa básica ou associada de morte. Foi estimada regressão logística respeitando um modelo de análise hierárquico. Pessoas com TB de 60 anos de idade ou mais (OR = 1,43), de baixa escolaridade (OR = 1,67), com desnutrição (OR = 5,54), residentes em municípios com baixo IDH-M, de porte populacional médio (OR = 1,26), na Região Norte (OR = 2,42) apresentaram maior chance de notificação pós-óbito. Fatores protetores foram coinfecção HIV-TB (OR = 0,75), neoplasias malignas (OR = 0,62) e residência em municípios com alta cobertura de atenção básica (OR = 0,79). A priorização das populações vulneráveis é necessária para enfrentar as dificuldades de acesso ao diagnóstico e tratamento da TB no Brasil.

La Organización Mundial de la Salud (OMS) estima que en 2021 se produjeron 1,6 millones de muertes por tuberculosis (TB) y 10,6 millones de casos de esta afección por todo el mundo. Si los pacientes siguen el tratamiento recomendado para la TB, un 85% logran la cura. Las muertes por TB sin notificación previa de caso indican fallas en el acceso a este tratamiento oportuno y efectivo. Por lo tanto, este estudio tuvo como objetivo caracterizar los casos de TB que tuvieron notificación posterior a la muerte en Brasil. Este es un estudio de caso-control anidado dentro de la cohorte de nuevos casos de TB informados al Sistema de Información de Enfermedades de Notificación Obligatoria (SINAN). Las siguientes variables fueron analizadas: características seleccionadas del individuo (sexo, edad, etnia/color, nivel de instrucción) y del municipio (Índice de Desarrollo Humano Municipal -IDH-M, tasa de pobreza, tamaño del municipio, región y municipio), servicios de salud y condiciones y causa de la muerte o su asociación. La regresión logística se estimó desde un modelo de análisis jerárquico. Las personas con TB de 60 años o más (OR = 1,43), con bajo nivel de instrucción (OR = 1,67), con desnutrición (OR = 5,54), residentes en municipios con bajo IDH-M, de tamaño poblacional medio (OR = 1,26) y en la Región Norte (OR = 2,42) tuvieron mayor probabilidad de notificación posterior a la muerte. Los factores protectores fueron la coinfección VIH-TB (OR = 0,75), neoplasias malignas (OR = 0,62) y vivir en ciudades con alta cobertura de atención primaria (OR = 0,79). Es necesario priorizar las poblaciones vulnerables para enfrentar las dificultades de acceso al diagnóstico y tratamiento de la TB en Brasil.

Trends in tuberculosis incidence and mortality coefficients in Brazil, 2011-2019: analysis by inflection points / Tendencias de los coeficientes de incidencia y mortalidad por tuberculosis en Brasil, 2011-2019: análisis por puntos de inflexión / Tendências nos coeficientes de incidência e mortalidade por tuberculose no Brasil, 2011-2019: análise por pontos de inflexão

ABSTRACT Objective. To analyze the temporal trend of tuberculosis incidence and mortality rates in Brazil between 2011 and 2019. Methods. This was an ecological time series study of tuberculosis incidence and mortality rates in Brazil between 2011 and 2019. Data were extracted from the Notifiable Disease Information System and the Mortality Information System, and population estimates were from the Brazilian Institute of Geography and Statistics. Trends were analyzed by Joinpoint regression, which recognizes inflection points for temporal analysis. Results. The average incidence rate of tuberculosis in Brazil in the period was 35.8 cases per 100 000 population. From 2011 to 2015, this coefficient had an annual percentage change of -1.9% (95% CI [-3.4, -0.5]) followed by an increase of 2.4% (95% CI [0.9, 3.9]) until 2019. The average mortality rate between 2011 and 2019 was 2.2 deaths per 100 000 population, with an average annual percentage change of -0.4% (95% CI [-1.0, 0.2]). Amazonas was the only state with an increase in the annual average percentage variation for the incidence rate (3.2%; 95% CI [1.3, 5.1]) and mortality rate (2.7%; 95% CI [1.0, 4.4]) over the years, while Rio de Janeiro state had an increasing inflection for incidence from 2014 to 2019 (2.4%; 95% CI [1.4, 3.5]) and annual average of decreasing percentage variation (-3.5%; 95% CI [-5.0, -1.9]). Conclusions. During the period analyzed, a decreasing trend in incidence was observed between 2011 and 2015, and an increasing trend for the period from 2015 to 2019. On the other hand, no change in the trend for mortality was found in Brazil.

RESUMEN Objetivo. Analizar la tendencia temporal de las tasas de incidencia y mortalidad por tuberculosis en Brasil entre el 2011 y el 2019. Métodos. Este fue un estudio ecológico de series temporales de las tasas de incidencia y mortalidad por tuberculosis en Brasil entre el 2011 y el 2019. Los datos se obtuvieron del Sistema de Información sobre Enfermedades de Notificación Obligatoria y del Sistema de Información sobre Mortalidad, y las estimaciones de población proceden del Instituto Brasileño de Geografía y Estadística. Las tendencias se analizaron mediante el programa de regresión Joinpoint, que reconoce los puntos de inflexión para el análisis temporal. Resultados. La tasa promedio de incidencia de tuberculosis en Brasil para el periodo fue de 35,8 casos por 100 000 habitantes. Entre el 2011 y el 2015, este coeficiente experimentó una variación porcentual anual del -1,9% (intervalo de confianza [IC] del 95% [-3,4, -0,5]), seguida por un aumento del 2,4% (IC 95% [0,9, 3,9]) hasta el 2019. La tasa de mortalidad promedio entre el 2011 y el 2019 fue de 2,2 muertes por cada 100 000 habitantes, con una variación porcentual promedio anual del -0,4% (IC del 95% [-1,0, 0,2]). El estado de Amazonas fue el único que a lo largo de los años presentó un aumento de la variación porcentual promedio anual de la tasa de incidencia (3,2%; IC del 95% [1,3, 5,1]) y de la tasa de mortalidad (2,7%; IC del 95% [1,0, 4,4]), en tanto que, entre el 2014 y el 2019, el estado de Río de Janeiro presentó una inflexión creciente de la incidencia (2,4%; IC del 95% [1,4, 3,5]) y una variación porcentual promedio anual decreciente (-3,5%; IC del 95% [-5,0, -1,9]). Conclusiones. Durante el periodo analizado, se observa una tendencia decreciente de la incidencia entre el 2011 y el 2015, y una tendencia creciente para el periodo comprendido entre el 2015 y el 2019. En cambio, no se encontró ningún cambio en la tendencia de la mortalidad en Brasil.

RESUMO Objetivo. Analisar a tendência temporal das taxas de incidência e mortalidade por tuberculose no Brasil entre 2011 e 2019. Métodos. Estudo ecológico de série temporal das taxas de incidência e mortalidade por tuberculose no Brasil entre 2011 e 2019. Os dados foram extraídos do Sistema de Informação de Agravos de Notificação e do Sistema de Informação sobre Mortalidade, e as estimativas populacionais foram obtidas do Instituto Brasileiro de Geografia e Estatística. As tendências foram analisadas por regressão joinpoint, que reconhece pontos de inflexão para análise temporal. Resultados. A taxa média de incidência da tuberculose no Brasil no período foi de 35,8 casos por 100 mil habitantes. O coeficiente teve uma variação percentual anual de -1,9% (IC 95% [-3,4; -0,5]) de 2011 a 2015, seguida de um aumento de 2,4% (IC 95% [0,9; 3,9]) até 2019. A taxa média de mortalidade entre 2011 e 2019 foi de 2,2 óbitos por 100 mil habitantes, com uma variação percentual anual média de -0,4% (IC 95% [-1,0; 0,2]). Ao longo dos anos, o Amazonas foi o único estado com aumento na variação percentual anual média na taxa de incidência (3,2%; IC 95% [1,3; 5,1]) e na taxa de mortalidade (2,7%; IC 95% [1,0; 4,4]). Já o estado do Rio de Janeiro teve inflexão crescente na incidência de 2014 a 2019 (2,4%; IC 95% [1,4; 3,5]) e média anual de variação percentual decrescente (-3,5%; IC 95% [-5,0; -1,9]). Conclusões. Durante o período analisado, foi observada uma tendência decrescente na incidência entre 2011 e 2015 e crescente entre 2015 e 2019. Por outro lado, não foi encontrada nenhuma mudança na tendência de mortalidade no Brasil.

Fatores associados à notificação pós-óbito de casos de tuberculose no Brasil, 2014 / Factores asociados a la notificación posterior a la muerte por casos de tuberculosis en Brasil, 2014 / Factors associated with post-mortem notification of tuberculosis cases in Brazil, 2014

Resumo: Segundo a Organização Mundial da Saúde (OMS), estima-se que 1,6 milhão de mortes e 10,6 milhões de casos de tuberculose (TB) ocorreram no mundo em 2021. Quando a doença é oportunamente tratada com o esquema terapêutico recomendado, 85% dos pacientes se curam. A ocorrência de óbito por TB sem notificação anterior denuncia falhas no acesso ao tratamento oportuno e efetivo. Sendo assim, este estudo objetivou caracterizar os casos de TB notificados pós-óbito no Brasil. Trata-se de estudo caso-controle aninhado na coorte de casos novos de TB notificados ao Sistema de Informação de Agravos de Notificação (SINAN). As variáveis analisadas foram: características selecionadas do indivíduo (sexo, idade, raça/cor, escolaridade), do município (Índice de Desenvolvimento Humano Municipal - IDH-M, taxa de pobreza, porte municipal, região e município), dos serviços de saúde e causa básica ou associada de morte. Foi estimada regressão logística respeitando um modelo de análise hierárquico. Pessoas com TB de 60 anos de idade ou mais (OR = 1,43), de baixa escolaridade (OR = 1,67), com desnutrição (OR = 5,54), residentes em municípios com baixo IDH-M, de porte populacional médio (OR = 1,26), na Região Norte (OR = 2,42) apresentaram maior chance de notificação pós-óbito. Fatores protetores foram coinfecção HIV-TB (OR = 0,75), neoplasias malignas (OR = 0,62) e residência em municípios com alta cobertura de atenção básica (OR = 0,79). A priorização das populações vulneráveis é necessária para enfrentar as dificuldades de acesso ao diagnóstico e tratamento da TB no Brasil.

Resumen: La Organización Mundial de la Salud (OMS) estima que en 2021 se produjeron 1,6 millones de muertes por tuberculosis (TB) y 10,6 millones de casos de esta afección por todo el mundo. Si los pacientes siguen el tratamiento recomendado para la TB, un 85% logran la cura. Las muertes por TB sin notificación previa de caso indican fallas en el acceso a este tratamiento oportuno y efectivo. Por lo tanto, este estudio tuvo como objetivo caracterizar los casos de TB que tuvieron notificación posterior a la muerte en Brasil. Este es un estudio de caso-control anidado dentro de la cohorte de nuevos casos de TB informados al Sistema de Información de Enfermedades de Notificación Obligatoria (SINAN). Las siguientes variables fueron analizadas: características seleccionadas del individuo (sexo, edad, etnia/color, nivel de instrucción) y del municipio (Índice de Desarrollo Humano Municipal -IDH-M, tasa de pobreza, tamaño del municipio, región y municipio), servicios de salud y condiciones y causa de la muerte o su asociación. La regresión logística se estimó desde un modelo de análisis jerárquico. Las personas con TB de 60 años o más (OR = 1,43), con bajo nivel de instrucción (OR = 1,67), con desnutrición (OR = 5,54), residentes en municipios con bajo IDH-M, de tamaño poblacional medio (OR = 1,26) y en la Región Norte (OR = 2,42) tuvieron mayor probabilidad de notificación posterior a la muerte. Los factores protectores fueron la coinfección VIH-TB (OR = 0,75), neoplasias malignas (OR = 0,62) y vivir en ciudades con alta cobertura de atención primaria (OR = 0,79). Es necesario priorizar las poblaciones vulnerables para enfrentar las dificultades de acceso al diagnóstico y tratamiento de la TB en Brasil.

Abstract: According to the World Health Organization (WHO), 1.6 million deaths and 10.6 million cases of tuberculosis (TB) were reported worldwide in 2021. If treated opportunely with the recommended therapy, 85% of patients with TB are healed. The occurrence of death from TB without prior notification of the disease indicates failure in the timely access to this effective treatment. Therefore, this study aimed to identify TB cases with post-mortem notification in Brazil. This is a nested case-control study using a cohort of new TB cases reported to the Braziliam Information System for Notificable Diseases (SINAN). This study analyzed the following variables: selected characteristics of the individual (gender, age, race/color, education), the municipality (Municipality Human Development Index - M-HDI, poverty rate, size, region, and municipality), health services, and underlying or associated cause of death. Logistic regression was estimated using a hierarchical analysis model. People with TB aged 60 years or older (OR = 1.43), with low educational level (OR = 1.67), and with malnutrition (OR = 5.54), living in municipalities with low M-HDI and medium population size (OR = 1.26), located in the North Region of Brazil (OR = 2.42) had a higher chance of post-mortem notification. Protective factors were HIV-TB coinfection (OR = 0.75), malignant neoplasms (OR = 0.62), and living in cities with broad primary care coverage (OR = 0.79). Vulnerable populations should be prioritized in order to address the obstacles to the access to TB diagnosis and treatment in Brazil.

Brazilian cohort study of risk factors associated with unsuccessful outcomes of drug resistant tuberculosis.

BACKGROUND: Treatment outcomes were evaluated of a cohort of new pulmonary tuberculosis (TB) cases that were rifampicin resistant, multidrug-resistant, or extensively resistant during 2013 and 2014 in Brazil. The objective of this study is to identify factors associated with unfavorable treatment outcomes for drug-resistant TB cases. METHODS: The Brazilian Special Tuberculosis Treatment Information System (SITE-TB) was the main data source. The independent variables were classified into four blocks (block I: individual characteristics; block II: clinical characteristics and proposed treatment; block III: treatment follow-up characteristics; and block IV: TB history). The category of successful therapeutic outcome was compared with lost to follow-up, failure, and death. Considering the multiple outcomes as the dependent variable, the odds ratios (OR) and its respective 95% confidence interval (95% CI) were estimated by multinomial logistic regression. RESULTS: After applying the exclusion criteria, 980 (98.8%) individuals were included in the study. Of these, 621 (63.4%) had successful treatment, 163 (16.6%) lost to follow-up, 76 (7.8%) failed, and 120 (12.2%) died. Important factors associated with lost to follow-up in the final model included use of illicit drugs (OR = 2.5 95% CI: 1.57-3.82). Outcome failure was associated with having disease in both lungs (OR = 2.0; 95% CI: 1.09-3.62) and using more than one or not using injectable medication (OR = 2.8; 95% CI: 1.05-7.69). Major factors for the death outcome were at least 60 years old (OR = 3.4; 95% CI: 1.90-6.03) and HIV positive (OR = 2.7; 95% CI: 1.45-4.83). CONCLUSIONS: The factors associated with unfavorable treatment outcomes were different. Some of these factors are specific to each outcome, which reflects the complexity of providing care to these individuals.

Factors Associated with Unsuccessful Outcomes of Tuberculosis Treatment in 125 Municipalities in Colombia 2014 to 2016.

Our aim was to identify the risk factors associated with unsuccessful outcomes of tuberculosis (TB) treatment in patients diagnosed between 2014 and 2016 in the 125 municipalities of Antioquia, Colombia. We studied a retrospective cohort of patients with TB diagnosed between 2014 and 2016, from national routine surveillance systems, in 125 municipalities of Antioquia. Factors associated with unsuccessful tuberculosis treatment outcomes (treatment failed, lost to follow up, or death) were identified utilizing a Poisson regression with robust variance. Over 3 years, of the 6,739 drug-susceptible tuberculosis patients, 73.4% had successful treatment and 26.6% unsuccessful outcomes (17% lost to follow up, 8.9% deaths, and 0.7% treatment failures). Patients with subsidized health insurance (Relative risk [RR]: 2.4; 95% CI: 2.1-2.8) and without health insurance (RR: 2.5; 95% CI: 2.1-3.0) had a higher risk for unsuccessful tuberculosis treatment compared to those with contributive health insurance. Other risk factors included age over 15 years, male sex, homelessness, people living with HIV, previous treatment, and primary diagnosis during hospitalization. Protective factors were living in a rural area and extrapulmonary disease. It is important to generate strategies that improves tuberculosis diagnosis in primary healthcare institutions. In addition, it is imperative to initiate new research about the barriers and obstacles related to patients, healthcare workers and services, and the health system, including the analysis of urban violence, to understand why the goal of TB treatment success has not been reached.

Regional coordinators of Sao Paulo State prisons in tuberculosis and HIV coinfection care.

OBJECTIVES: to analyze the care provided to individuals with Tuberculosis (TB)-HIV coinfection in prison units in the state of São Paulo, according to the regional coordination of prisons. METHODS: cross-sectional study conducted between 2016 and 2018. A structured questionnaire was applied to 112 directors or health professionals from 168 prison units. Data were analyzed by frequency distribution and multiple correspondence analysis. RESULTS: 92.9% of participants reported active search for respiratory symptoms, 89.3% offer the directly observed treatment (DOT) for all TB cases, 95.5% anti-HIV testing for all inmates, 92.9% offer HIV follow-up in specialized care services and 59.8% antiretroviral drugs for cases of coinfection. An association was identified between the Northwest and Central regional coordinations and deficient human resources and low performance of actions for the diagnosis and follow-up of cases. CONCLUSIONS: although most prison units perform planned actions for the care of coinfected persons, some places need support to guarantee access to these actions.

[Gaps in drug-resistant tuberculosis surveillance: probabilistic database linkage in Brazil]. / Lacunas na vigilância da tuberculose drogarresistente: relacionando sistemas de informação do Brasil.

The study aimed to assess the coverage and reliability of drug-resistant tuberculosis (DR-TB) case closure in the Information System on Special Treatments for Tuberculosis (SITE-TB in Portuguese) in Brazil from 2013 to 2016, based on probabilistic linkage with the Information System on Diseases of Notification (SINAN), Laboratory Environment Manager (GAL), and Mortality Information System (SIM). The study population consisted of DR-TB cases that initiated treatment from 2013 to 2016 in Brazil. Linkage with SINAN assessed the coverage and estimated underreporting of DR-TB cases. The capture-recapture method was applied, using the Chapman estimator. Linkage with GAL identified cases diagnosed by the laboratory that had not been reported to SITE-TB. Linkage with SIM assessed the reliability of case closure by death in SITE-TB, using the kappa coefficient. We estimated a population of 2,945 (95%CI: 2,365-3,602) new cases of DR-TB with the Chapman estimator. We located 1,626 individuals in the GAL database that had not been reported to SITE-TB, even with laboratory confirmation of drug resistance. PABAK (prevalance and bias adjusted kappa) of 0.86 (95%CI: 0.85-0.87) was classified as excellent for the agreement in death as the outcome between the SITE-TB and SIM databases. The results pointed to persistent gaps related to diagnosis and treatment of DR-TB in Brazil. Underreporting of DR-TB cases in the SITE-TB database poses a challenge for TB control. Identification of these individuals and early start of treatment should be prioritized in health services.

Notifiable Diseases Information System (SINAN): main features of tuberculosis notification and data analysis. / Sistema de Informação de Agravos de Notificação (Sinan): principais características da notificação e da análise de dados relacionada à tuberculose.

The Notifiable Diseases Information System (SINAN) enables knowledge of the profile of people with active tuberculosis (TB) in a country of continental dimensions such as Brazil. Available in all Brazilian municipalities and states, the system enables continuous consolidation of data, evaluation and monitoring of actions related to TB control in the country. The purpose of this paper is to present the specificities of SINAN-Net related to TB, including the follow-up screen, the record linkage and the follow-up report. Additionally, we describe the main variables and indicators and the challenges and limitations of the system.

O Sistema de Informação de Agravos de Notificação (Sinan) possibilita conhecer o perfil das pessoas com tuberculose (TB) ativa em um país continental como o Brasil. Disponível em todos os municípios e estados, o sistema permite contínua consolidação dos dados, avaliação e monitoramento das ações relacionadas ao controle da doença no país. O objetivo deste estudo foi apresentar as especificidades do Sinan-Net referentes à TB, entre elas a tela de acompanhamento, a rotina de vinculação e o boletim de acompanhamento. Adicionalmente, são descritas as principais variáveis e indicadores, os desafios e limitações do sistema.

El Sistema de Información de Agravamientos de Notificación (Sinan) posibilita conocer el perfil de las personas con tuberculosis (TB) activa en un país continental como Brasil. Disponible en todos los municipios y estados, el sistema posibilita una continua consolidación de los datos, evaluación y monitoreo de las acciones relacionadas al control de la enfermedad en el país. El objetivo de este trabajo es presentar las especificidades del Sinan-Net con relación a la TB, entre ellas la pantalla de acompañamiento, la rutina de vinculación y el boletín de acompañamiento. Adicionalmente, describimos las principales variables e indicadores y los desafíos y limitaciones del sistema.

Impact of incarceration on tuberculosis incidence and its interaction with income distribution inequality in Brazil.

BACKGROUND: Deteriorated conditions in the non-prison population can lead to an approximation of its tuberculosis (TB) risk to that in the prison population. We evaluated the association between incarceration and TB incidence rate and its interaction with population income distribution inequality in Brazilian municipalities (2013-2015). METHODS: We included 954 municipalities with at least one prison. Interaction between the Gini coefficient and prison exposure was analysed in a multiple regression model. We estimated the fraction of TB in the population attributable fraction (PAF) to exposure to prisons according the Gini coefficient. RESULTS: Compared with the non-prison population, the prisoners had 22.07 times (95% confidence interval [CI] 20.38 to 23.89) the risk of TB in municipalities where the Gini coefficient was <0.60 and 14.96 times (95% CI 11.00 to 18.92) the risk where the Gini coefficient was ≥0.60. A negative interaction in the multiplicative scale was explained by a higher TB incidence in the non-prison population in municipalities with a Gini coefficient ≥0.60. The PAF ranged from 50.06% to 5.19% in municipalities with Gini coefficients <0.40 and ≥0.60, respectively. CONCLUSIONS: Interventions to reduce prison exposure would have an ostensible impact in population TB incidence rates mainly in settings with lower Gini coefficients. In those with extreme inequality in income distribution, strategies focused on mitigating the effects of socio-economic factors should also be prioritized.

Regional coordinators of Sao Paulo State prisons in tuberculosis and HIV coinfection care / Coordinadores regionales de prisiones paulistas en la atención a la coinfección tuberculosis y VIH / Coordenadorias regionais das unidades prisionais paulistas na atenção à coinfecção tuberculose e HIV

ABSTRACT Objectives: to analyze the care provided to individuals with Tuberculosis (TB)-HIV coinfection in prison units in the state of São Paulo, according to the regional coordination of prisons. Methods: cross-sectional study conducted between 2016 and 2018. A structured questionnaire was applied to 112 directors or health professionals from 168 prison units. Data were analyzed by frequency distribution and multiple correspondence analysis. Results: 92.9% of participants reported active search for respiratory symptoms, 89.3% offer the directly observed treatment (DOT) for all TB cases, 95.5% anti-HIV testing for all inmates, 92.9% offer HIV follow-up in specialized care services and 59.8% antiretroviral drugs for cases of coinfection. An association was identified between the Northwest and Central regional coordinations and deficient human resources and low performance of actions for the diagnosis and follow-up of cases. Conclusions: although most prison units perform planned actions for the care of coinfected persons, some places need support to guarantee access to these actions.

RESUMEN Objetivos: analizar la atención brindada a las personas con coinfección Tuberculosis (TB)-VIH en unidades penitenciarias del estado de São Paulo, según la coordinación regional. Métodos: estudio transversal realizado entre 2016 y 2018. Se aplicó un cuestionario estructurado a 112 directores o profesionales de la salud de 168 unidades penitenciarias. Los datos se analizaron mediante distribución de frecuencias y análisis de correspondencia múltiple. Resultados: el 92,9% de los participantes refirió búsqueda activa de síntomas respiratorios, el 89,3% ofrece el tratamiento de observación directa (DOT) para todos los casos de TB, el 95,5% prueba anti-VIH para todos los internos, el 92,9% ofrece seguimiento del VIH en servicios de atención especializada y 59,8% de fármacos antirretrovirales para casos de coinfección. Se identificó asociación entre las agencias de coordinación Noroeste y Centro y el deficiente recurso humano y el bajo desempeño de las acciones de diagnóstico y seguimiento de casos. Conclusiones: si bien la mayoría de las unidades penitenciarias realizan acciones planificadas para la atención de personas coinfectadas, algunos lugares necesitan apoyo para garantizar el acceso a estas acciones.

RESUMO Objetivos: analisar a assistência prestada aos indivíduos com coinfecção Tuberculose-HIV em unidades prisionais do estado de São Paulo, segundo Coordenadoria Regional. Métodos: estudo transversal realizado entre 2016 e 2018. Aplicou-se um questionário estruturado a 112 diretores ou profissionais de saúde de 168 unidades prisionais. Os dados foram analisados por distribuição de frequência e análise de correspondência múltipla. Resultados: 92,9% dos participantes referiram busca ativa de sintomáticos respiratórios, 89,3% oferta de tratamento diretamente observado para todos os casos de tuberculose, 95,5% teste anti-HIV para todos os detentos, 92,9% acompanhamento do HIV em serviços especializados e 59,8% antirretrovirais para os casos de coinfecção. Identificou-se associação entre as Coordenadorias Noroeste e Central e deficiência de recursos humanos e baixa realização de ações para o diagnóstico e acompanhamento dos casos. Conclusões: Apesar da realização das ações previstas para o cuidado aos coinfectados na maioria das unidades, alguns locais necessitam apoio para garantir o acesso a estas ações.

Lacunas na vigilância da tuberculose drogarresistente: relacionando sistemas de informação do Brasil / Gaps in drug-resistant tuberculosis surveillance: probabilistic database linkage in Brazil / Lagunas en la vigilancia de la tuberculosis resistente a fármacos: relacionando sistemas de información en Brasil

Resumo: O objetivo do trabalho foi avaliar a cobertura e a confiabilidade do encerramento dos casos de tuberculose drogarresistente (TB DR), do Sistema de Informação de Tratamentos Especiais de Tuberculose (SITE-TB), que ocorreram no Brasil no período de 2013 a 2016, a partir de relacionamentos probabilísticos com o Sistema de Informação de Agravos de Notificação (SINAN), Gerenciador de Ambiente Laboratorial (GAL) e Sistema de Informações sobre Mortalidade (SIM). Os casos de TB DR com início de tratamento entre 2013 e 2016 no Brasil constituíram a população do estudo. O relacionamento com o SINAN avaliou a cobertura e estimou a subnotificação dos casos de TB DR. Aplicou-se o método de captura-recaptura, com uso do estimador de Chapman. O relacionamento com o GAL identificou casos diagnosticados pelo laboratório que não estavam notificados no SITE-TB. O relacionamento com o SIM avaliou a confiabilidade do encerramento óbito no SITE-TB, utilizando o coeficiente kappa. Estimou-se uma população de 2.945 (IC95%: 2.365-3.602) casos novos de TB DR com o estimador de Chapman. No GAL, foram encontrados 1.626 indivíduos não notificados no SITE-TB, mesmo com exame laboratorial confirmatório de resistência aos medicamentos antiTB. Classificou-se como excelente, PABAK (prevalance and bias adjusted kappa) de 0,86 (IC95%: 0,85-0,87), a concordância entre o desfecho óbito do SITE-TB e o SIM. Os resultados mostraram que ainda temos lacunas relacionadas ao diagnóstico e ao tratamento da TB DR no Brasil. A subnotificação no SITE-TB de casos de TB DR representa um desafio para o controle da doença. A localização desses indivíduos e o início precoce do tratamento devem constituir uma ação priorizada nos serviços de saúde.

Abstract: The study aimed to assess the coverage and reliability of drug-resistant tuberculosis (DR-TB) case closure in the Information System on Special Treatments for Tuberculosis (SITE-TB in Portuguese) in Brazil from 2013 to 2016, based on probabilistic linkage with the Information System on Diseases of Notification (SINAN), Laboratory Environment Manager (GAL), and Mortality Information System (SIM). The study population consisted of DR-TB cases that initiated treatment from 2013 to 2016 in Brazil. Linkage with SINAN assessed the coverage and estimated underreporting of DR-TB cases. The capture-recapture method was applied, using the Chapman estimator. Linkage with GAL identified cases diagnosed by the laboratory that had not been reported to SITE-TB. Linkage with SIM assessed the reliability of case closure by death in SITE-TB, using the kappa coefficient. We estimated a population of 2,945 (95%CI: 2,365-3,602) new cases of DR-TB with the Chapman estimator. We located 1,626 individuals in the GAL database that had not been reported to SITE-TB, even with laboratory confirmation of drug resistance. PABAK (prevalance and bias adjusted kappa) of 0.86 (95%CI: 0.85-0.87) was classified as excellent for the agreement in death as the outcome between the SITE-TB and SIM databases. The results pointed to persistent gaps related to diagnosis and treatment of DR-TB in Brazil. Underreporting of DR-TB cases in the SITE-TB database poses a challenge for TB control. Identification of these individuals and early start of treatment should be prioritized in health services.

Resumen: El objetivo de este trabajo fue evaluar la cobertura y fiabilidad del cierre de casos de tuberculosis resistente a multiple medicamentos (TB DR; por sus siglas en portugués) en el Sistema de Información de Tratamientos Especiales de Tuberculosis (SITE-TB), que se produjeron en Brasil durante el período de 2013 a 2016, a partir de relaciones probabilísticas con el Sistema de Información de Enfermedades de Notificación (SINAN por sus siglas en portugués), Gestor de Ambiente de Laboratorio (GAL) y Sistema de Información sobre Mortalidad (SIM). La población del estudio fueron los casos de TB DR con inicio de tratamiento entre 2013 y 2016 en Brasil. La relación con el SINAN evaluó la cobertura y estimó la subnotificación de los casos de TB DR. Se aplicó el método de captura-recaptura, utilizando el estimador de Chapman. La relación con el GAL identificó casos diagnosticados por el laboratorio que no estaban notificados en el SITE-TB. La relación con el SIM evaluó la fiabilidad del cierre óbito en el SITE-TB, utilizando el coeficiente kappa. Se estimó que para una población de 2.945 (IC95%: 2.365-3.602) casos nuevos de TB DR con el estimador de Chapman. Se encontraron en el GAL a 1.626 individuos no notificados en el SITE-TB, incluso con examen de laboratorio confirmatorio de resistencia a los medicamentos antiTB. Se clasificó como excelente, PABAK (prevalance and bias adjusted kappa) de 0,86 (IC95%: 0,85-0,87), la concordancia entre el resultado óbito del SITE-TB y el SIM. Los resultados mostraron que todavía existen lagunas relacionadas con el diagnóstico y el tratamiento de la TB DR en Brasil. La subnotificación en el SITE-TB de casos de TB DR representa un desafío para el control de la enfermedad. La localización de esos individuos y el inicio precoz del tratamiento debe ser una acción priorizada en los servicios de salud.

Special Tuberculosis Treatment Information System (SITE-TB) in Brazil: background, description and perspectives. / Sistema de Informação de Tratamentos Especiais de Tuberculose (SITE-TB): histórico, descrição e perspectivas.

The Special Tuberculosis Treatment Information System (SITE-TB) arose mainly from the need to routinely monitor all persons with drug-resistant tuberculosis (DR-TB) in Brazil, as well as to qualify tuberculosis' drug control. Developed by the Professor Hélio Fraga Reference Center and the Management Sciences for Health/Brazil Project, this online system was implemented in 2013 in all Brazilian states. In addition to DR-TB, the system registers people with drug-sensitive tuberculosis with special regimen indications, and those with nontuberculous mycobacterial infections identified by differential diagnosis of tuberculosis. All confirmed tuberculosis cases should be notified on the Notifiable Diseases Information System (SINAN). In situations where treatment with special regimens is necessary, the case is closed on SINAN and notified on SITE-TB. Professionals from tuberculosis reference centers report and monitor these cases on the system, as well as manage tuberculosis' drugs.

O Sistema de Informação de Tratamentos Especiais de Tuberculose (SITE-TB) surgiu da necessidade principal de monitorar, rotineiramente, todas as pessoas com tuberculose drogarresistente (TBDR) no Brasil, e qualificar o controle dos fármacos antituberculose. Desenvolvido pelo Centro de Referência Professor Hélio Fraga e pelo projeto Management Sciences for Health/Brasil, esse sistema online foi implantado em 2013, em todas as Unidades da Federação. Além da TBDR, no SITE-TB são registradas pessoas com tuberculose sensível com indicação de esquema especial, e aquelas com micobacterioses não tuberculosas identificadas por diagnóstico diferencial de tuberculose. Toda pessoa com tuberculose confirmada deve ser notificada no Sistema de Informação de Agravos de Notificação (Sinan). Em situações nas quais se faz necessário tratamento com esquema especial, o caso é encerrado no Sinan e notificado no SITE-TB. Profissionais das unidades de referência para tuberculose fazem a notificação e acompanhamento desses casos no sistema, assim como a gestão dos medicamentos.

El Sistema de Información de Tratamientos Especiales de Tuberculosis (SITE-TB) surgió principalmente de la necesidad de monitorear rutinariamente todas las personas con tuberculosis drogorresistente (TB-DR) en Brasil y cualificar el control de drogas antituberculosis. Desarrollado por el Centro de Referencia Profesor Hélio Fraga y el proyecto Management Sciences for Health/Brasil, este sistema online fue implantado en 2013 en todos los estados del país. Además de TB-DR, el SITE-TB registra personas con tuberculosis sensible con indicación de régimen especial, y aquellas con micobacteriosis no tuberculosas identificadas por diagnóstico diferencial de tuberculosis. Toda persona con tuberculosis confirmada debe ser notificada en el Sistema de Información de Agravamientos de Notificación (SINAN). Para situaciones en las que se hace necesario tratamiento con régimen especial, el caso se cierra en el SINAN y se notifica en el SITE-TB. Los profesionales de las unidades de referencia para TB son los que hacen la notificación y seguimiento de estos casos en el sistema, así como la gestión de las drogas antituberculosis.

Impacto do encarceramento na incidência da tuberculose / Not available

Objetivo: A presente tese é apresentada no formato de três artigos que se articulam através do objetivo geral que foi estudar a associação entre o encarceramento e o risco de tuberculose ativa (TB) no Brasil. Os objetivos específicos dos artigos foram: (artigo-1) identificar um conjunto de macrodeterminantes socioeconômicos associados à incidência da TB, dentre eles, a proporção da população privada de liberdade (PPL) na população do município; (artigo-2) quantificar a importância relativa da exposição às prisões na incidência de TB e avaliar sua interação com a desigualdade da distribuição de renda; (artigo-3) estimar o efeito dos fatores ambientais dos presídios no tempo até o diagnóstico de TB. Métodos: Foram realizados dois estudos ecológicos (artigos-1 e 2) e um estudo de coorte retrospectiva (artigo-3). No artigo-1, relacionamos as taxas de incidência de TB (2010) dos 5565 municípios aos indicadores socioeconômicos e de saúde e à proporção de PPL. No artigo-2, as taxas de incidência de TB das populações prisional e não prisional dos 954 municípios com pelo menos uma unidade prisional (2014), foram relacionadas às variáveis contextuais dos municípios. Avaliamos também a interação da desigualdade da distribuição de renda nesta associação; e estimamos a fração atribuível à população (FAP). No artigo-3, analisamos os casos de TB na PPL do estado de São Paulo (2014 e 2015) segundo o tempo entre o encarceramento e o diagnóstico de TB. O efeito total das condições ambientais foi analisado por modelos de riscos de Cox. Todas as análises foram orientadas por diagramas causais para a seleção de variáveis de ajuste. Resultados: No artigo-1, após o ajuste por fatores individuais e região geográfica, esteve associada positivamente à incidência da TB, a proporção de PPL (razão de taxas de incidência [RTI]: 1,11; intervalo com 95% de confiança [IC95%]: 1,09-1,14), e fatores socioeconômicos e de saúde. No artigo-2, comparada com a população não prisional, a PPL apresentou (RTI) 22,07 vezes (IC95%: 20,38-23,89) o risco de TB em municípios com coeficiente de Gini =0,60. A FAP foi gradativamente menor em municípios com maior desigualdade da distribuição de renda. No artigo-3, estimou-se que a cada aumento de 50% na taxa de ocupação carcerária, houve um aumento na velocidade de ocorrência da TB de 16% (IC95%: 8%-25%) nos modelos até dois anos. Um aumento de uma unidade do logaritmo da área da cela por pessoa resultou em uma redução na velocidade até o diagnóstico de TB de 13% (IC95%: 2%-23%) nos modelos até dois anos. Conclusão: Evidenciou-se a importância da PPL na ocorrência da TB nos municípios brasileiros; o potencial impacto que teriam intervenções para reduzir a exposição aos presídios, o qual varia segundo as condições socioeconômicas; e o efeito das condições ambientais dos presídios na velocidade do tempo até o diagnóstico de TB. Intervenções nas prisões como a redução drástica das condições de superlotação e o aumento do espaço físico, teriam elevado impacto na incidência de TB na população gerla, principalmente em municípios com menor coeficiente de Gini

Objective: This thesis is presented in the form of three articles that are articulated through the general objective of studying the association between incarceration and the risk of active tuberculosis (TB) in Brazil. The specific objectives of the articles were: (article-1) to identify a set of socioeconomic macrodeterminants associated with the TB incidence, among them, the proportion of the prison population in the population of the municipality; (article-2) to quantify the relative importance of exposure to prisons in TB incidence and to assess their interaction with population income distribution inequality; (article-3) to estimate the effect of the environmental factors of prisons in time until the diagnosis of TB. Methods: Two ecological studies (articles-1 and 2) and one retrospective cohort study (article-3) were performed. In article-1, we related the TB incidence rates (2010) of the 5565 municipalities to socioeconomic and health indicators and to the proportion of prison population. In article-2, the TB incidence rates of the prison and non-prison populations of the 954 municipalities with at least one prison (2014) were related to the contextual variables of the municipalities. We also evaluated the interaction of the income distribution inequality in this association; and we estimated the fraction of tuberculosis in the population attributable to the exposure to prisons (PAF). In article-3, we analyzed the TB cases in the prison population of the São Paulo state (2014 and 2015) according to the time between incarceration and the diagnosis of TB. The total effect of the environmental conditions was analyzed by Cox risk models. All the analyzes were oriented by causal diagrams for the selection of adjustment variables. Results: In article-1, after adjustment for individual factors and geographic region, it was positively associated with the TB incidence, the proportion of prison population (incidence rate ratio [IRR]: 1.11, 95% confidence interval [ 95%CI: 1.09-1.14), and socioeconomic and health factors. In article-2, compared to the non-prison population, the prison population presented 22.07 times (95%CI: 20,38-23,89) the risk of TB in municipalities with a Gini coefficient =0.60. The PAF was gradually lower in municipalities with greater income distribution inequality. In article-3, it was estimated that with each increase of 50% in the prison occupation rate, there was an increase in the speed of TB occurrence of 16% (95%CI: 8% -25%) in the models up to two years. An increase of one unit in the logarithm of the cell area per person resulted in a reduction in the speed to TB diagnosis of 13% (95%CI: 2% -23%) in the models up to two years. Conclusion: It was evidenced the importance of prison population in the occurrence of TB in Brazilian municipalities; the potential impact of interventions to reduce exposure to prisons, which varies according to socioeconomic conditions; and the effect of prisons\' environmental conditions on the speed of time to TB diagnosis. Interventions in prisons such as the drastic reduction of overcrowding conditions and the increase in physical space, would have a high impact on the TB incidence in general population, especially in municipalities with lower Gini coefficients