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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Main Authors: Beatriz Barreto-Duarte, Mariana Araújo-Pereira, Betânia M. F. Nogueira, Luciana Sobral, Moreno M. S. Rodrigues, Artur T. L. Queiroz, Michael S. Rocha, Vanessa Nascimento, Alexandra B. Souza, Marcelo Cordeiro-Santos, Afrânio L. Kritski, Timothy R. Sterling, María B. Arriaga, Bruno B. Andrade
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Medicine
Subjects:
age
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.706689/full
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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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spelling 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