Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019
Approximately 1.4 million people die annually worldwide from tuberculosis. Large epidemiologic studies can identify determinants of unfavorable clinical outcomes according to age, which can guide public health policy implementation and clinical management to improve outcomes. We obtained data from t...
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2021-07-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2021.706689/full |
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language |
English |
format |
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DOAJ |
author |
Beatriz Barreto-Duarte Beatriz Barreto-Duarte Beatriz Barreto-Duarte Beatriz Barreto-Duarte Mariana Araújo-Pereira Mariana Araújo-Pereira Mariana Araújo-Pereira Betânia M. F. Nogueira Betânia M. F. Nogueira Betânia M. F. Nogueira Betânia M. F. Nogueira Luciana Sobral Luciana Sobral Moreno M. S. Rodrigues Artur T. L. Queiroz Artur T. L. Queiroz Michael S. Rocha Michael S. Rocha Vanessa Nascimento Vanessa Nascimento Vanessa Nascimento Alexandra B. Souza Alexandra B. Souza Marcelo Cordeiro-Santos Marcelo Cordeiro-Santos Marcelo Cordeiro-Santos Afrânio L. Kritski Afrânio L. Kritski Timothy R. Sterling María B. Arriaga María B. Arriaga María B. Arriaga Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade |
spellingShingle |
Beatriz Barreto-Duarte Beatriz Barreto-Duarte Beatriz Barreto-Duarte Beatriz Barreto-Duarte Mariana Araújo-Pereira Mariana Araújo-Pereira Mariana Araújo-Pereira Betânia M. F. Nogueira Betânia M. F. Nogueira Betânia M. F. Nogueira Betânia M. F. Nogueira Luciana Sobral Luciana Sobral Moreno M. S. Rodrigues Artur T. L. Queiroz Artur T. L. Queiroz Michael S. Rocha Michael S. Rocha Vanessa Nascimento Vanessa Nascimento Vanessa Nascimento Alexandra B. Souza Alexandra B. Souza Marcelo Cordeiro-Santos Marcelo Cordeiro-Santos Marcelo Cordeiro-Santos Afrânio L. Kritski Afrânio L. Kritski Timothy R. Sterling María B. Arriaga María B. Arriaga María B. Arriaga Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019 Frontiers in Medicine tuberculosis age outcomes pulmonary TB extrapulmonary TB |
author_facet |
Beatriz Barreto-Duarte Beatriz Barreto-Duarte Beatriz Barreto-Duarte Beatriz Barreto-Duarte Mariana Araújo-Pereira Mariana Araújo-Pereira Mariana Araújo-Pereira Betânia M. F. Nogueira Betânia M. F. Nogueira Betânia M. F. Nogueira Betânia M. F. Nogueira Luciana Sobral Luciana Sobral Moreno M. S. Rodrigues Artur T. L. Queiroz Artur T. L. Queiroz Michael S. Rocha Michael S. Rocha Vanessa Nascimento Vanessa Nascimento Vanessa Nascimento Alexandra B. Souza Alexandra B. Souza Marcelo Cordeiro-Santos Marcelo Cordeiro-Santos Marcelo Cordeiro-Santos Afrânio L. Kritski Afrânio L. Kritski Timothy R. Sterling María B. Arriaga María B. Arriaga María B. Arriaga Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade Bruno B. Andrade |
author_sort |
Beatriz Barreto-Duarte |
title |
Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019 |
title_short |
Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019 |
title_full |
Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019 |
title_fullStr |
Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019 |
title_full_unstemmed |
Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019 |
title_sort |
tuberculosis burden and determinants of treatment outcomes according to age in brazil: a nationwide study of 896,314 cases reported between 2010 and 2019 |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Medicine |
issn |
2296-858X |
publishDate |
2021-07-01 |
description |
Approximately 1.4 million people die annually worldwide from tuberculosis. Large epidemiologic studies can identify determinants of unfavorable clinical outcomes according to age, which can guide public health policy implementation and clinical management to improve outcomes. We obtained data from the national tuberculosis case registry; data were reported to the Brazilian National Program (SINAN) between 2010 and 2019. Clinical and epidemiologic variables were compared between age groups (child: <10 years, young: 10–24years, adult: 25–64years, and elderly: ≥65years). Univariate comparisons were performed together with second-generation p-values. We applied a backward stepwise multivariable logistic regression model to identify characteristics in each age group associated with unfavorable TB treatment outcomes. There were 896,314 tuberculosis cases reported during the period. Tuberculosis incidence was highest among adult males, but the young males presented the highest growth rate during the period. Directly observed therapy (DOT) was associated with protection against unfavorable outcomes in all age groups. The use of alcohol, illicit drugs, and smoking, as well as occurrence of comorbidities, were significantly different between age groups. Lack of DOT, previous tuberculosis, race, location of tuberculosis disease, and HIV infection were independent risk factors for unfavorable outcome depending on the age group. The clinical and epidemiological risk factors for unfavorable tuberculosis treatment outcomes varied according to age in Brazil. DOT was associated with improved outcomes in all age groups. Incidence according to age and sex identified adults and young males as the groups that need prevention efforts. This supports implementation of DOT in all populations to improve tuberculosis outcomes. |
topic |
tuberculosis age outcomes pulmonary TB extrapulmonary TB |
url |
https://www.frontiersin.org/articles/10.3389/fmed.2021.706689/full |
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doaj-5a16fd29a95040bcab33a8f41fe558ff2021-07-27T07:26:29ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2021-07-01810.3389/fmed.2021.706689706689Tuberculosis Burden and Determinants of Treatment Outcomes According to Age in Brazil: A Nationwide Study of 896,314 Cases Reported Between 2010 and 2019Beatriz Barreto-Duarte0Beatriz Barreto-Duarte1Beatriz Barreto-Duarte2Beatriz Barreto-Duarte3Mariana Araújo-Pereira4Mariana Araújo-Pereira5Mariana Araújo-Pereira6Betânia M. F. Nogueira7Betânia M. F. Nogueira8Betânia M. F. Nogueira9Betânia M. F. Nogueira10Luciana Sobral11Luciana Sobral12Moreno M. S. Rodrigues13Artur T. L. Queiroz14Artur T. L. Queiroz15Michael S. Rocha16Michael S. Rocha17Vanessa Nascimento18Vanessa Nascimento19Vanessa Nascimento20Alexandra B. Souza21Alexandra B. Souza22Marcelo Cordeiro-Santos23Marcelo Cordeiro-Santos24Marcelo Cordeiro-Santos25Afrânio L. Kritski26Afrânio L. Kritski27Timothy R. Sterling28María B. Arriaga29María B. Arriaga30María B. Arriaga31Bruno B. Andrade32Bruno B. Andrade33Bruno B. Andrade34Bruno B. Andrade35Bruno B. Andrade36Bruno B. Andrade37Bruno B. Andrade38Bruno B. Andrade39Bruno B. Andrade40Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, BrazilMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BrazilCurso de Medicina, Universidade Salvador, Laureate Universities, Salvador, BrazilPrograma de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, BrazilLaboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, BrazilMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BrazilFaculdade de Medicina, Universidade Federal da Bahia, Salvador, BrazilLaboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, BrazilMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BrazilInstituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, BrazilPrograma de Pós-graduação em Ciências da Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, BrazilCurso de Medicina, Centro Universitário Faculdade de Tecnologia e Ciências, Salvador, BrazilEscola Bahiana de Medicina e Saúde Pública, Salvador, Brazil0Laboratório de Análise e Visualização de Dados, Fundação Oswaldo Cruz, Porto Velho, BrazilMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil1Center of Data and Knowledge Integration for Health, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, BrazilMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BrazilInstituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, BrazilMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BrazilInstituto Brasileiro para Investigação da Tuberculose, Fundação José Silveira, Salvador, BrazilEscola Bahiana de Medicina e Saúde Pública, Salvador, Brazil2Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil3Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil2Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil3Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil4Faculdade de Medicina, Universidade Nilton Lins, Manaus, BrazilPrograma de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil5Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil6Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United StatesLaboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, BrazilMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BrazilFaculdade de Medicina, Universidade Federal da Bahia, Salvador, BrazilLaboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, BrazilMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BrazilCurso de Medicina, Universidade Salvador, Laureate Universities, Salvador, BrazilPrograma de Pós-Graduação em Clínica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, BrazilFaculdade de Medicina, Universidade Federal da Bahia, Salvador, BrazilPrograma de Pós-graduação em Ciências da Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, BrazilCurso de Medicina, Centro Universitário Faculdade de Tecnologia e Ciências, Salvador, BrazilEscola Bahiana de Medicina e Saúde Pública, Salvador, Brazil6Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United StatesApproximately 1.4 million people die annually worldwide from tuberculosis. Large epidemiologic studies can identify determinants of unfavorable clinical outcomes according to age, which can guide public health policy implementation and clinical management to improve outcomes. We obtained data from the national tuberculosis case registry; data were reported to the Brazilian National Program (SINAN) between 2010 and 2019. Clinical and epidemiologic variables were compared between age groups (child: <10 years, young: 10–24years, adult: 25–64years, and elderly: ≥65years). Univariate comparisons were performed together with second-generation p-values. We applied a backward stepwise multivariable logistic regression model to identify characteristics in each age group associated with unfavorable TB treatment outcomes. There were 896,314 tuberculosis cases reported during the period. Tuberculosis incidence was highest among adult males, but the young males presented the highest growth rate during the period. Directly observed therapy (DOT) was associated with protection against unfavorable outcomes in all age groups. The use of alcohol, illicit drugs, and smoking, as well as occurrence of comorbidities, were significantly different between age groups. Lack of DOT, previous tuberculosis, race, location of tuberculosis disease, and HIV infection were independent risk factors for unfavorable outcome depending on the age group. The clinical and epidemiological risk factors for unfavorable tuberculosis treatment outcomes varied according to age in Brazil. DOT was associated with improved outcomes in all age groups. Incidence according to age and sex identified adults and young males as the groups that need prevention efforts. This supports implementation of DOT in all populations to improve tuberculosis outcomes.https://www.frontiersin.org/articles/10.3389/fmed.2021.706689/fulltuberculosisageoutcomespulmonary TBextrapulmonary TB |