Tuberculosis recurrence in a priority city in the state of São Paulo, Brazil

Vieira, Amadeu Antônio; Leite, Danila Torres; Adreoni, Solange

doi:10.1590/s1806-37562016000000002

Cited by 6 publications

(8 citation statements)

References 32 publications

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“…Fifth, we were not able to control for certain confounding characteristics that might have been associated with TB recurrence, such as socio-economic factors, including living area, occupation, and education. Previous studies have discussed education and occupation as factors associated with TB prevalence and treatment outcomes [ 39 ]. In addition to individual characteristics, epidemiological features of living area are known to have an effect [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

Risk factors associated with tuberculosis recurrence in South Korea determined using a nationwide cohort study

Youn

Shin²,

Jeong³

et al. 2022

PLoS ONE

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Objective Prevention of tuberculosis (TB) recurrence is an important issue in TB control. South Korea, a country with a high average income, has been challenged with an intermediate burden of TB. We aimed to estimate the TB recurrence rate after successful completion of the first anti-TB chemotherapy, and to identify the risk factors for the TB recurrence by focusing on co-morbidities and behavioral factors. Methods This is a population-based cohort study using data from the National Health Insurance (NHI) database between 2002 and 2013. Newly diagnosed TB patients were identified using the classification of disease codes and prescription records. Final analytical subjects included people who successfully completed the first anti-TB chemotherapy. The primary outcome measure was recurrent TB 6-month after the first treatment completion. A set of associated risk factors, including demographic characteristics, co-morbidities, and health behavior factors were analyzed using Cox regression analysis. Results Among 5,446 TB patients, 2,226 (40.1%) completed the first anti-TB treatment. During the follow-up period, 150 (6.7%) patients had TB recurrence, and the crude recurrent rate was 22.6 per 1000 person-years. The majority of recurrence cases (89%) occurred within the first 2-year period. The major findings show that participants who are male (adjusted HR (aHR) = 1.81, at a 95% CI, range: 1.11–2.94), older in age (aHR = 1.07, at a 95% CI, range: 1.00–1.14), have a lower income (aHR = 1.96, at a 95% CI, range: 1.10–3.48) and who are underweight (aHR = 1.92, at a 95% CI, range 1.15–3.20) were at higher risks for TB recurrence. Conclusion People who have risk factors for recurrent TB need to improve treatment compliance through more effective TB management, and follow-up observation for one or two years after the treatment completion.

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Section: Discussionmentioning

confidence: 99%

Risk factors associated with tuberculosis recurrence in South Korea determined using a nationwide cohort study

Youn

Shin²,

Jeong³

et al. 2022

PLoS ONE

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“…This has been a strategy indicated by the World Health Organization and the Ministry of Health as a possibility to ensure a greater link between health professionals and users with coinfection, as well as a greater adherence to drug treatment for TB. Studies show that DOT is effective for cases of TB and for cases of coinfection Tuberculosis and HIV, because when comparing cases with and without DOT, cure percentages were higher and mortality was lower in the DOT group (21)(22)(23) .…”

Section: Discussionmentioning

confidence: 99%

Epidemiological profile of tuberculosis cases with HIV coinfection in Porto Alegre city, Brazil

et al. 2019

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Objective: To describe and compare the epidemiological profile of cases of tuberculosis and HIV coinfection of the District Administration Health Units of Porto Alegre, Brazil, from 2009 to 2013. Method: Retrospective cohort with data from national health information systems. Sociodemographic, clinical and follow-up variables were investigated through association tests. Results: 2,419 cases of tuberculosis and HIV coinfection were reported, with a mean age of 38 ± 9.91 years, predominantly white and with up to 7 years of study. The comparison between the District Administration Health Units was significant in terms of race/color (p<0.001), gender (p<0.001), schooling (p<0.004), age (p<0.003), place of origin (p<0.001), (p<0.001), alcoholism (p<0.001), indication and performance of Directly Observed Therapy (p<0.001), closure (p<0.001). Conclusion: Socioeconomic and treatment variables influence the occurrence of coinfection in different areas of Porto Alegre, reinforcing that the sum of different factors explains the indicators of the disease.

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“…Regarding the educational level, investigations show association of TB with illiteracy and low level of schooling [50, 51]. Low level of schooling is associated with delayed diagnosis of the disease [52], and adhesion to treatment [53]. Illiteracy is also associated with TB mortality [54].…”

Section: Resultsmentioning

confidence: 99%

A new combination rule for Spatial Decision Support Systems for epidemiology

et al. 2019

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BackgroundDecision making in the health area usually involves several factors, options and data. In addition, it should take into account technological, social and spatial aspects, among others. Decision making methodologies need to address this set of information , and there is a small group of them with focus on epidemiological purposes, in particular Spatial Decision Support Systems (SDSS).MethodsMakes uses a Multiple Criteria Decision Making (MCDM) method as a combining rule of results from a set of SDSS, where each one of them analyzes specific aspects of a complex problem. Specifically, each geo-object of the geographic region is processed, according to its own spatial information, by an SDSS using spatial and non-spatial data, inferential statistics and spatial and spatio-temporal analysis, which are then grouped together by a fuzzy rule-based system that will produce a georeferenced map. This means that, each SDSS provides an initial evaluation for each variable of the problem. The results are combined by the weighted linear combination (WLC) as a criterion in a MCDM problem, producing a final decision map about the priority levels for fight against a disease. In fact, the WLC works as a combining rule for those initial evaluations in a weighted manner, more than a MCDM, i.e., it combines those initial evaluations in order to build the final decision map.ResultsAn example of using this new approach with real epidemiological data of tuberculosis in a Brazilian municipality is provided. As a result, the new approach provides a final map with four priority levels: “non-priority”, “non-priority tendency”, “priority tendency” and “priority”, for the fight against diseases.ConclusionThe new approach may help public managers in the planning and direction of health actions, in the reorganization of public services, especially with regard to their levels of priorities.

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Tuberculosis recurrence in a priority city in the state of São Paulo, Brazil

Cited by 6 publications

References 32 publications

Risk factors associated with tuberculosis recurrence in South Korea determined using a nationwide cohort study

Risk factors associated with tuberculosis recurrence in South Korea determined using a nationwide cohort study

Epidemiological profile of tuberculosis cases with HIV coinfection in Porto Alegre city, Brazil

A new combination rule for Spatial Decision Support Systems for epidemiology

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