ArticleRevista de saude publica2019
Predictive model of unfavorable outcomes for multidrug-resistant tuberculosis.
Article in Revista de saude publica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic review and meta-analysis of predictive accuracy of prognostic models for poor treatment outcome of drug resistance tuberculosis.Scientific reports · 2026Pooled it
- Factors Associated with the Abandonment of Tuberculosis Treatment in Brazil: A Systematic Review.Revista da Sociedade Brasileira de Medicina Tropical · 2023Pooled it
- Spatial clusters of risk and cartography of care for drug-resistant tuberculosis.Revista de saude publica · 2025Article
- Applying a Combined Model to Evaluate the Risk of Poor Treatment Outcomes in Rifampicin Resistant Tuberculosis Patients: A Multicenter Retrospective Study.Infection and drug resistance · 2024Article
- Development and validation of a prediction model for unsuccessful treatment outcomes in patients with multi-drug resistance tuberculosis.BMC infectious diseases · 2023Article
- A Scoring System Based on Laboratory Parameters and Clinical Features to Predict Unfavorable Treatment Outcomes in Multidrug- and Rifampicin-Resistant Tuberculosis Patients.Infection and drug resistance · 2023Article
- Factors of abandonment of tuberculosis treatment in the public health network.Revista de saude publica · 2023Article
- Prognostication of treatment non-compliance among patients with multidrug-resistant tuberculosis in the course of their follow-up: a logistic regression-based machine learning algorithm.Frontiers in digital health · 2023Article
- Article
- A Score to Predict the Risk of Major Adverse Drug Reactions Among Multi-Drug Resistant Tuberculosis Patients in Southern Ethiopia, 2014-2019.Infection and drug resistance · 2022Article
- Development and Validation of a Nomogram for the Prediction of Unfavorable Treatment Outcome Among Multi-Drug Resistant Tuberculosis Patients in North West Ethiopia: An Application of Prediction Modelling.Infection and drug resistance · 2022Article
- Laboratory-based study of drug resistance and genotypic profile of multidrug-resistant tuberculosis isolates in Salvador, Bahia, Brazil.Revista da Sociedade Brasileira de Medicina Tropical · 2022Article
- Article
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveto analyze the temporal trend, identify the factors related and elaborate a predictive model for unfavorable treatment outcomes for multidrug-resistant tuberculosis (MDR-TB).
methodsRetrospective cohort study with all cases diagnosed with MDR-TB between the years 2006 and 2015 in the state of São Paulo. The data were collected from the state system of TB cases notifications (TB-WEB). The temporal trend analyzes of treatment outcomes was performed through the Prais-Winsten analysis. In order to verify the factors related to the unfavorable outcomes, abandonment, death with basic cause TB and treatment failure, the binary logistic regression was used. Pictorial representations of the factors related to treatment outcome and their prognostic capacity through the nomogram were elaborated.
resultsBoth abandonment and death have a constant temporal tendency, whereas the failure showed it as decreasing. Regarding the risk factors for such outcomes, using illicit drugs doubled the odds for abandonment and death. Besides that, being diagnosed in emergency units or during hospitalizations was a risk factor for death. On the contrary, having previous multidrug-resistant treatments reduced the odds for the analyzed outcomes by 33%. The nomogram presented a predictive model with 65% accuracy for dropouts, 70% for deaths and 80% for failure.
conclusionsThe modification of the current model of care is an essential factor for the prevention of unfavorable outcomes. Through predictive models, as presented in this study, it is possible to develop patient-centered actions, considering their risk factors and increasing the chances for cure.
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