Evidence map›Paper›PMID 35788646›Full record

Observational studyClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

Tuberculosis Treatment Outcomes in Brazil: Different Predictors for Each Type of Unsuccessful Outcome.

Felipe Ridolfi, Lauren Peetluk, Gustavo Amorim, Megan Turner, Marina Figueiredo, Marcelo Cordeiro-Santos, Solange Cavalcante, Afrânio Kritski, Betina Durovni, Bruno Andrade and 3 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 2 countries.

Felipe RidolfiInstituto Nacional de Infectologia Evandro Chagas (INI), Fiocruz, Rio de Janeiro, Brazil.ORCID 0000-0002-3377-1026
Lauren PeetlukDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Gustavo AmorimDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, USA.
Megan TurnerDivision of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Marina FigueiredoDivision of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Marcelo Cordeiro-SantosFundação de Medicina Tropical Dr. Heitor Vieira Dourado (FMT), Manaus, Brazil.
Solange CavalcanteClínica de Família Rinaldo Delamare, Rocinha, Rio de Janeiro, Brazil.
Afrânio KritskiUniversidade Federal do Rio de Janeiro (UFRJ), Faculdade de Medicina, Rio de Janeiro, Brazil.
Betina DurovniCentro de Estudos Estratégicos, Fiocruz, Rio de Janeiro, Brazil.
Bruno AndradeDivision of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Timothy R SterlingDivision of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Valeria RollaInstituto Nacional de Infectologia Evandro Chagas (INI), Fiocruz, Rio de Janeiro, Brazil.
Regional Prospective Observational Research in Tuberculosis (RePORT)–Brazil Consortium
Vanderbilt University · USInstituto Evandro Chagas · BRUniversidade Federal do Rio de Janeiro · BRFundação de Medicina Tropical · BRFundação Oswaldo Cruz · BRUniversidade Federal da Bahia · BRVanderbilt University Medical Center · US

Funding

CCASAnet: Caribbean, Central and South America NetworkU01AI069923 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Pedro Enrique Cahn, Jessica L Castilho · 2006 to 2026
$41.6M
Regional Prospective Observational Research in Tuberculosis (RePORT) – Brazil NetworkU01AI172064 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRUNO DE BEZERRIL ANDRADE, TIMOTHY R STERLING · 2023 to 2026
$4.0M
Predictors of treatment toxicity, failure, and relapse in HIV-related tuberculosisR01AI120790 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROLLA, VALERIA CAVALCANTI, STERLING, TIMOTHY R · 2016 to 2019
$2.6M
Characterizing the impact of HIV disease severity in prediction models for tuberculosis treatment outcomesF31AI152614 · NIAID · VANDERBILT UNIVERSITY · PI PEETLUK, LAUREN SAAG · 2020 to 2020
$26k
NIAID NIH HHS F31 AI152614NIAID NIH HHS R01 AI120790NIAID NIH HHS U01 AI069923NIAID NIH HHS U01 AI172064
6 · The paper itself

Abstract

backgroundSuccessful tuberculosis (TB) treatment is necessary for disease control. The World Health Organization (WHO) has a target TB treatment success rate of ≥90%. We assessed whether the different types of unfavorable TB treatment outcome had different predictors.

methodsUsing data from Regional Prospective Observational Research for Tuberculosis-Brazil, we evaluated biological and behavioral factors associated with each component of unsuccessful TB outcomes, recently updated by WHO (death, loss to follow-up [LTFU], and treatment failure). We included culture-confirmed, drug-susceptible, pulmonary TB participants receiving standard treatment in 2015-2019. Multinomial logistic regression models with inverse probability weighting were used to evaluate the distinct determinants of each unsuccessful outcome.

resultsOf 915 participants included, 727 (79%) were successfully treated, 118 (13%) were LTFU, 44 (5%) had treatment failure, and 26 (3%) died. LTFU was associated with current drug-use (adjusted odds ratio [aOR] = 5.3; 95% confidence interval [CI], 3.0-9.4), current tobacco use (aOR = 2.9; 95% CI, 1.7-4.9), and being a person with HIV (PWH) (aOR = 2.0; 95% CI, 1.1-3.5). Treatment failure was associated with PWH (aOR = 2.7; 95% CI, 1.2-6.2) and having diabetes (aOR = 2.2; 95% CI, 1.1-4.4). Death was associated with anemia (aOR = 5.3; 95% CI, 1.4-19.7), diabetes (aOR = 3.1; 95% CI, 1.4-6.7), and PWH (aOR = 3.9; 95% CI, 1.3-11.4). Direct observed therapy was protective for treatment failure (aOR = 0.5; 95% CI, .3-.9) and death (aOR = 0.5; 95% CI, .2-1.0).

conclusionsThe treatment success rate was below the WHO target. Behavioral factors were most associated with LTFU, whereas clinical comorbidities were correlated with treatment failure and death. Because determinants of unsuccessful outcomes are distinct, different intervention strategies may be needed to improve TB outcomes.

Indexed as

Antitubercular AgentsTuberculosisBrazilHumansRetrospective StudiesRisk FactorsTreatment OutcomeAntitubercular AgentsDOTloss-to-follow-upoutcomestreatmenttuberculosis

Identifiers

PMID35788646
PMCPMC10169436
OpenAlexW4283832721

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.