Temporal trends and regional clusters of tuberculosis-HIV coinfection outcomes in Brazil
DOI:
https://doi.org/10.11606/s15188787.2025059006736Keywords:
HIV, Tuberculosis, Ecological Studies, Time Series Studies, Cluster AnalysisAbstract
OBJECTIVE: To investigate the temporal trends and regional clusters of tuberculosis treatment outcomes among people with HIV in Brazil, as well as their relationship with socioeconomic and programmatic indicators. METHODS: Ecological study with data from people living with HIV who initiated and completed tuberculosis treatment from 2015 to 2021 in Brazil. We described the semiannual trends of cure, treatment interruption, and death rates in Brazilian states using joinpoint regression models. Cluster analyses stratified by three population sizes were conducted using the k-means method to identify clusters in 510 immediate geographic regions. Socioeconomic and programmatic indicators related to treatment interruption and death were included in multivariate negative binomial regression models. RESULTS: A total of 54,362 tuberculosis treatments in people with HIV were analyzed, with cure rates of 55.51%, interruption rates of 23.33%, and death rates of 21.16% for the period. Nationally, cure rates remained stable, while treatment interruption increased by 2.54% per semester (ranging from 1.59% to 3.70%) and death increased by 9.31% (ranging from 7.41% to 17.24%). The states of Ceará and Amapá showed the worst trends for treatment interruption and death. Regions with greater income inequality, higher percentages of workers with only primary education, higher household density, and broader private health coverage had higher rates of treatment interruption and death. Conversely, regions with higher expected years of schooling and hospitalizations for primary care-sensitive conditions had lower probabilities of these outcomes. CONCLUSION: Nationally, despite stable cure rates, tuberculosis treatment interruption and death among people with HIV increased. Regional disparities in the relationship between socioeconomic and programmatic indicators and outcomes suggest inequities in access to and adherence to tuberculosis treatment across Brazil.
References
Rewari BB, Kumar A, Mandal PP, Puri AK. HIV TB coinfection – perspectives from India. Expert Rev Respir Med. 2021 May;15(7):911-30. https://doi.org/10.1080/17476348.2021.1921577
World Health Organization. Global tuberculosis report 2024 [Internet]. Geneva: WHO; 2024 [citado 2024 nov 11]. Disponível em: https://www.who.int/teams/global-tuberculosis- programme/tb-reports/global-tuberculosis-report-2024
Shah GH, Ewetola R, Etheredge G, Maluantesa L, Waterfield K, Engetele E, et al. Risk factors for TB/HIV coinfection and consequences for patient outcomes: evidence from 241 clinics in the Democratic Republic of Congo. Int J Environ Res Public Health. 2021 May;18(10):5165. https://doi.org/10.3390/ijerph18105165
Ministério da Saúde (BR). Boletim epidemiológico – tuberculose (2024) [Internet]. Brasília: Ministério da Saúde; 2024 [citado 2024 out 14]. Disponível em: https://www.gov.br/aids/pt-br/central-de- conteudo/boletins-epidemiologicos/2024/boletim-epidemiologico-tuberculose-2024/view
Lima LV, Pavinati G, Oliveira RR, Couto RM, Alves KBA, Magnabosco GT. Temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021. Epidemiol Serv Saúde. 2024;33:e2023522. https://doi.org/10.1590/S2237-96222024v33e2023522.en
Ministério da Saúde (BR). Boletim epidemiológico – coinfecção TB-HIV (2022) [Internet]. Brasília: Ministério da Saúde; 2023 [citado 2024 out 14]. Disponível em: https://www.gov. br/aids/pt-br/central-de-conteudo/boletins-epidemiologicos/2022/coinfeccao-tb-hiv/boletim_ coinfeccao_tb_hiv_2022.pdf/view
Carvalho MVF, Silva ARS, Taminato M, Bertolozzi MR, Fernandes H, Sakabe S, et al. Tuberculosis/HIV coinfection focused on care and quality of life. Acta Paul Enferm. 2022;35:eAPE02811. https://doi.org/10.37689/acta-ape/2022AO02811
Global Burden of Disease Health Financing Collaborator Network. Health sector spending and spending on HIV/AIDS, tuberculosis, and malaria, and development assistance for health: progress towards Sustainable Development Goal 3. Lancet. 2020;396(10252):693-724. https://doi.org/10.1016/S0140-6736(20)30608-5
Mekonen H, Negesse A, Dessie G, Desta M, Mihiret GT, Tarik YD, et al. Impact of HIV coinfection on tuberculosis treatment outcomes in Ethiopia: a systematic review and
meta-analysis. BMJ Open. 2024;14(7):e087218. https://doi.org/10.1136/bmjopen-2024-087218
Bonsu EO, Addo IY, Adjei BN, Alhassan MM, Nakua EK. Prevalence, treatment outcomes and determinants of TB–HIV coinfection: a 10-year retrospective review of TB registry in Kwabre East Municipality of Ghana. BMJ Open 2023;13(3):e067613. https://doi.org/10.1136/bmjopen-2022-067613
Selimin DS, Ismail A, Ahmad N, Ismail R, Azman NFM, Azman A. Tuberculosis treatment outcome in patients with TB-HIV coinfection in Kuala Lumpur, Malaysia. J Trop Med. 2021 May;923378. https://doi.org/10.1155/2021/9923378
Instituto Brasileiro de Geografia e Estatística. Cidades e estados: Brasil [Internet]. Brasília: IBGE; 2023 [citado 2024 out 14]. Disponível em: https://www.ibge.gov.br/cidades-e-estados
Atlas do Desenvolvimento Humano no Brasil. Consulta de indicadores em tabela [Internet]. Brasília: Atlas Brasil; 2024 [citado 2024 out 14]. Disponível em: http://www.atlasbrasil.org.br/consulta
National Cancer Institute. Surveillance Research Program. Joinpoint Regression Program – version 5.0.2 – May 2023 [Internet]. Bethesda: NCI; 2024 [citado 2024 out 14]. Disponível em: https://surveillance.cancer.gov/help/joinpoint
Hilbe JM. The statistical analysis of count data. Cult Educ. 2017 Oct;29:3:409-60. https://doi.org/10.1080/11356405.2017.1368162
Tanaka OY, Drumond Júnior M, Cristo EB, Spedo SM, Pinto NRS. Cluster analysis as a tool for management improvement in the SUS. Saude Soc. 2015;24(1):34-45. https://doi.org/10.1590/S0104-12902015000100003
Ministério da Saúde (BR). Manual de recomendações para o controle da tuberculose no Brasil [Internet]. Brasília: Ministério da Saúde; 2019 [citado 2024 nov 19]. Disponível em: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/svsa/tuberculose/manual-de- recomendacoes-e-controle-da-tuberculose-no-brasil-2a-ed.pdf/view
Resende NH, Miranda SS, Reis AMM, Pádua CAM, Haddad JPA, Silva PVR, et al. Factors associated with the effectiveness of regimens for the treatment of tuberculosis in patients coinfected with HIV/AIDS: cohort 2015 to 2019. Diagnostics. 2023 Mar;13(6):1181. https://doi.org/10.3390/diagnostics13061181
Yang N, He J, Li J, Zhong Y, Song Y, Chen C. Predictors of death among TB/HIV co-infected patients on tuberculosis treatment in Sichuan, China: a retrospective cohort study. Medicine. 2023 Feb;102(5):e32811. https://doi.org/10.1097/MD.0000000000032811
Oliveira TS, Pereira AMM. Expressions of inequalities in access to health services in Latin America: a scoping review. Ciênc Saúde Colet. 2024 Jul;29(7):e04932024.
Chaves LA, Andrade EIG, Santos AF. Configuration of health care networks in the SUS: analysis based on primary and hospital care components. Ciênc Saúde Colet. 2024 Jun;29(6):e18392022. https://doi.org/10.1590/1413-81232024296.18392022
Silva EA, Hino P, Fernandes H, Bertolozi MR, Monroe AA, Fornari LF. Health care for people with tuberculosis/HIV co-infection from the multidisciplinary team’s perspective. Rev Bras Enferm. 2023;76(4):e20220733. https://doi.org/10.1590/0034-7167-2022-0733
Sanhueza-Sanzana C, Kerr L, Kendall C. Mortality from AIDS and tuberculosis-HIV coinfection in the Chilean AIDS Cohort of 2000-2017. Cad Saúde Publica. 2021;37(6):e00212920. https://doi.org/10.1590/0102-311X00212920
Coutinho GR, Santos SMC, Gama CM, Silva SO, Santos MEP, Silva NJ. Fatores demográficos e socioambientais associados à insegurança alimentar domiciliar nos diferentes territórios da cidade de Salvador, Bahia, Brasil. Cad Saúde Pública. 2022;38(11):e00280821. https://doi.org/10.1590/0102-311XPT280821
Sousa GJB, Lourenço VO, Mendes CCS, Vasconcelos MN, Maranhão TA, Pereira MLD. Spatiotemporal pattern and factors related to childhood tuberculosis. Rev Gaúcha Enferm. 2022;43:e20210270. https://doi.org/10.1590/1983-1447.2022.20210270.en
Souza Júnior PRB, Szwarcwald CL, Damacena GN, Stopa SR, Vieira MLFP, Almeida WS, et al. Cobertura de plano de saúde no Brasil: análise dos dados da Pesquisa Nacional de Saúde 2013 e 2019. Ciênc Saúde Colet. 2021;26(suppl 1). https://doi.org/10.1590/1413-81232021266.1.43532020
Selimin DS, Ismail A, Ahmad N, Ismail R, Mohd Azman NF, Azman A. Tuberculosis Treatment outcome in patients with TB-HIV coinfection in Kuala Lumpur, Malaysia. J Trop Med. 2021 May;2021:9923378. https://doi.org/10.1155/2021/9923378
Pavinati G, Lima LV, Teixeira CSS, Hino P, Bertolozzi MR, Nery JS, et al. Vulnerability to loss of follow-up and death due to tuberculosis among homeless individuals in Brazil: a retrospective cohort study. Ciênc Saúde Colet. 2024 Jul;29(7):e02742024.
Pinto PFPS, Santos BPS, Teixeira CSS, Nery JS, Amorim LDAF, Sanchez MN, et al. Performance evaluation of tuberculosis control in Brazilian municipalities. Rev Saúde Pública. 2022 Jun;56:53. https://doi.org/10.11606/s1518-8787.2022056004020
Pelissari DM, Rocha MS, Bartholomay P, Sanchez MN, Duarte EC, Arakaki-Sanchez D, et al. Identifying socioeconomic, epidemiological and operational scenarios for tuberculosis control in Brazil: an ecological study. BMJ Open. 2018;8(6). https://doi.org/10.1136/bmjopen-2017-018545
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Copyright (c) 2025 Lucas Vinícius de Lima, Gabriel Pavinati, Yenny Lorena Valdivia-Rojas, José Nildo de Barros Silva Júnior, Ana Paula Sayuri Sato, Fredi Alexander Diaz-Quijano, Victor Santana Santos, Gabriela Tavares Magnabosco

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Conselho Nacional de Desenvolvimento Científico e Tecnológico
Grant numbers 445760/2023-0