Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil

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dc.contributor.authordos Santos, Danielle Talita
dc.contributor.authorArroyo, Luiz Henrique
dc.contributor.authorAlves, Yan Mathias
dc.contributor.authorAlves, Luana Seles
dc.contributor.authorBerra, Thais Zamboni
dc.contributor.authorCrispim, Juliane de Almeida
dc.contributor.authorAlves, Josilene Dália
dc.contributor.authorRamos, Denisse Andrea Cartagena
dc.contributor.authorAlonso, Jonas Bodini
dc.contributor.authorde Assis, Ivaneliza Simionato
dc.contributor.authorRamos, Antônio Vieira
dc.contributor.authorDessunti, Elma Mathias
dc.contributor.authorCarvalho Pinto, Ione
dc.contributor.authorPalha, Pedro Fredemir
dc.contributor.authorArcêncio, Ricardo Alexandre
dc.contributor.authorNunes, Carla
dc.date.accessioned2025-03-10T14:35:23Z
dc.date.available2025-03-10T14:35:23Z
dc.date.issued2021-12
dc.descriptionIndexación: Scopus.
dc.description.abstractBackground: 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. © 2021, The Author(s).
dc.description.urihttps://tropmedhealth.biomedcentral.com/articles/10.1186/s41182-021-00320-4
dc.identifier.citationTropical Medicine and Health, Volume 49, Issue 1, December 2021, Article number 31
dc.identifier.doi10.1186/s41182-021-00320-4
dc.identifier.issn1348-8945
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/63703
dc.language.isoen
dc.publisherBioMed Central Ltd
dc.rights.licenseAttribution 4.0 International CC BY 4.0 Deed
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectHIV
dc.subjectMortality
dc.subjectRisk factors
dc.subjectSurvival analysis
dc.subjectTuberculosis
dc.titleSurvival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil
dc.typeArtículo
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