Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/117339 |
Resumo: | Background: A diagnosis of tuberculosis (TB) does not mean that the disease will be treated successfully, since death may occur even among those who are known to the health services. Here, we aimed to analyze patient survival time from the diagnosis of TB to death, precocious deaths, and associated factors in southern Brazil. Methods: We conducted a longitudinal study with patients who were diagnosed with TB and who died due to the disease between 2008 and 2015 in southern Brazil. The starting point for measuring survival time was the patient’s diagnosis date. Techniques for survival analysis were employed, including the Kaplan-Meier test and Cox’s regression. A mixed-effect model was applied for identifying the associated factors to precocious deaths. Hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (95% CI) were estimated. We defined p value <0.05 as statistically significant for all statistics applied. Results: One hundred forty-six patients were included in the survival analysis, observing a median survival time of 23.5 days. We observed that alcoholism (HR=1.55, 95% CI=1.04-2.30) and being male (HR=6.49, 95% CI=1.03-2.68) were associated with death. The chance of precocious death within 60 days was 10.48 times greater than the chance of early death within 30 days. Conclusion: Most of the deaths occurred within 2 months after the diagnosis, during the intensive phase of the treatment. The use of alcohol and gender were associated with death, revealing inequality between men and women. This study advanced knowledge regarding the vulnerability associated with mortality. These findings must be addressed to fill a gap in the care cascades for active TB and ensure equity in health. |
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Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern BrazilHIVMortalityRisk factorsSurvival analysisTuberculosisPublic Health, Environmental and Occupational HealthInfectious DiseasesSDG 3 - Good Health and Well-beingBackground: A diagnosis of tuberculosis (TB) does not mean that the disease will be treated successfully, since death may occur even among those who are known to the health services. Here, we aimed to analyze patient survival time from the diagnosis of TB to death, precocious deaths, and associated factors in southern Brazil. Methods: We conducted a longitudinal study with patients who were diagnosed with TB and who died due to the disease between 2008 and 2015 in southern Brazil. The starting point for measuring survival time was the patient’s diagnosis date. Techniques for survival analysis were employed, including the Kaplan-Meier test and Cox’s regression. A mixed-effect model was applied for identifying the associated factors to precocious deaths. Hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (95% CI) were estimated. We defined p value <0.05 as statistically significant for all statistics applied. Results: One hundred forty-six patients were included in the survival analysis, observing a median survival time of 23.5 days. We observed that alcoholism (HR=1.55, 95% CI=1.04-2.30) and being male (HR=6.49, 95% CI=1.03-2.68) were associated with death. The chance of precocious death within 60 days was 10.48 times greater than the chance of early death within 30 days. Conclusion: Most of the deaths occurred within 2 months after the diagnosis, during the intensive phase of the treatment. The use of alcohol and gender were associated with death, revealing inequality between men and women. This study advanced knowledge regarding the vulnerability associated with mortality. These findings must be addressed to fill a gap in the care cascades for active TB and ensure equity in health.Escola Nacional de Saúde Pública (ENSP)RUNdos Santos, Danielle TalitaArroyo, Luiz HenriqueAlves, Yan MathiasAlves, Luana SelesBerra, Thais ZamboniCrispim, Juliane de AlmeidaAlves, Josilene DáliaRamos, Denisse Andrea CartagenaAlonso, Jonas Bodinide Assis, Ivaneliza SimionatoRamos, Antônio VieiraDessunti, Elma MathiasCarvalho Pinto, IonePalha, Pedro FredemirArcêncio, Ricardo AlexandreNunes, Carla2021-05-07T23:07:30Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/117339eng1348-8945PURE: 29611486https://doi.org/10.1186/s41182-021-00320-4info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:00:29Zoai:run.unl.pt:10362/117339Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:43:36.116661Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil |
title |
Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil |
spellingShingle |
Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil dos Santos, Danielle Talita HIV Mortality Risk factors Survival analysis Tuberculosis Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being |
title_short |
Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil |
title_full |
Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil |
title_fullStr |
Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil |
title_full_unstemmed |
Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil |
title_sort |
Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil |
author |
dos Santos, Danielle Talita |
author_facet |
dos Santos, Danielle Talita Arroyo, Luiz Henrique Alves, Yan Mathias Alves, Luana Seles Berra, Thais Zamboni Crispim, Juliane de Almeida Alves, Josilene Dália Ramos, Denisse Andrea Cartagena Alonso, Jonas Bodini de Assis, Ivaneliza Simionato Ramos, Antônio Vieira Dessunti, Elma Mathias Carvalho Pinto, Ione Palha, Pedro Fredemir Arcêncio, Ricardo Alexandre Nunes, Carla |
author_role |
author |
author2 |
Arroyo, Luiz Henrique Alves, Yan Mathias Alves, Luana Seles Berra, Thais Zamboni Crispim, Juliane de Almeida Alves, Josilene Dália Ramos, Denisse Andrea Cartagena Alonso, Jonas Bodini de Assis, Ivaneliza Simionato Ramos, Antônio Vieira Dessunti, Elma Mathias Carvalho Pinto, Ione Palha, Pedro Fredemir Arcêncio, Ricardo Alexandre Nunes, Carla |
author2_role |
author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Escola Nacional de Saúde Pública (ENSP) RUN |
dc.contributor.author.fl_str_mv |
dos Santos, Danielle Talita Arroyo, Luiz Henrique Alves, Yan Mathias Alves, Luana Seles Berra, Thais Zamboni Crispim, Juliane de Almeida Alves, Josilene Dália Ramos, Denisse Andrea Cartagena Alonso, Jonas Bodini de Assis, Ivaneliza Simionato Ramos, Antônio Vieira Dessunti, Elma Mathias Carvalho Pinto, Ione Palha, Pedro Fredemir Arcêncio, Ricardo Alexandre Nunes, Carla |
dc.subject.por.fl_str_mv |
HIV Mortality Risk factors Survival analysis Tuberculosis Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being |
topic |
HIV Mortality Risk factors Survival analysis Tuberculosis Public Health, Environmental and Occupational Health Infectious Diseases SDG 3 - Good Health and Well-being |
description |
Background: A diagnosis of tuberculosis (TB) does not mean that the disease will be treated successfully, since death may occur even among those who are known to the health services. Here, we aimed to analyze patient survival time from the diagnosis of TB to death, precocious deaths, and associated factors in southern Brazil. Methods: We conducted a longitudinal study with patients who were diagnosed with TB and who died due to the disease between 2008 and 2015 in southern Brazil. The starting point for measuring survival time was the patient’s diagnosis date. Techniques for survival analysis were employed, including the Kaplan-Meier test and Cox’s regression. A mixed-effect model was applied for identifying the associated factors to precocious deaths. Hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (95% CI) were estimated. We defined p value <0.05 as statistically significant for all statistics applied. Results: One hundred forty-six patients were included in the survival analysis, observing a median survival time of 23.5 days. We observed that alcoholism (HR=1.55, 95% CI=1.04-2.30) and being male (HR=6.49, 95% CI=1.03-2.68) were associated with death. The chance of precocious death within 60 days was 10.48 times greater than the chance of early death within 30 days. Conclusion: Most of the deaths occurred within 2 months after the diagnosis, during the intensive phase of the treatment. The use of alcohol and gender were associated with death, revealing inequality between men and women. This study advanced knowledge regarding the vulnerability associated with mortality. These findings must be addressed to fill a gap in the care cascades for active TB and ensure equity in health. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-07T23:07:30Z 2021 2021-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/117339 |
url |
http://hdl.handle.net/10362/117339 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1348-8945 PURE: 29611486 https://doi.org/10.1186/s41182-021-00320-4 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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