Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Isoniazid Monoresistance and Antituberculosis Treatment Outcome in Persons With Pulmonary Tuberculosis in Brazil4citations
  • 2021Fluoroquinolone susceptibility in first-line drug-susceptible M. tuberculosis isolates in Lima, Peru3citations

Places of action

Chart of shared publication
Gotuzzo, Eduardo
1 / 2 shared
Blackman, Amondrea
1 / 1 shared
Cáceres, Tatiana
1 / 1 shared
Meza, Ericka
1 / 1 shared
Cachay, Rodrigo
1 / 1 shared
Schwalb, Alvaro
1 / 1 shared
Chart of publication period
2024
2021

Co-Authors (by relevance)

  • Gotuzzo, Eduardo
  • Blackman, Amondrea
  • Cáceres, Tatiana
  • Meza, Ericka
  • Cachay, Rodrigo
  • Schwalb, Alvaro
OrganizationsLocationPeople

article

Isoniazid Monoresistance and Antituberculosis Treatment Outcome in Persons With Pulmonary Tuberculosis in Brazil

  • Andrade, Bruno
  • Carvalho, Anna Cristina C.
  • Araújo-Pereira, Mariana
  • Figueiredo, Marina C.
  • Schmaltz, Carolina A. S.
  • Rolla, Valeria C.
  • Lapa-E-Silva, José R.
  • Turner, Megan M.
  • Ignácio, Francine P.
  • Rocha, Michael S.
  • Silva, Elisangela C.
  • Santos, Saulo R. N.
  • Souza, Alexandra B.
  • Garcia, Leandro Sousa
  • Moreira, Adriana S. R.
  • Loiola, Bruna P. De
  • Cavalcante, Solange
  • Arriaga, María B.
  • Nogueira, Betânia M. F.
  • Spener-Gomes, Renata
  • Gomes-Silva, Adriano
  • Cordeiro-Santos, Marcelo
  • Durovni, Betina
  • Lourenço, Maria C.
  • Consortium, For The Regional Prospective Observational Research For Tuberculosis -Brazil
  • Sterling, Timothy R.
  • Mello, Mayla
  • Kritski, Afrânio L.
  • Benjamin, Aline
  • Nascimento, Vanessa
  • Oliveira, Jamile G. De
  • Costa, Alysson G.
  • Carvalho, Brenda K. De Sousa
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>The high burden of drug-resistant tuberculosis (TB) is a problem to achieve the goals of the End TB Strategy by 2035. Whether isoniazid monoresistance (Hr) affects anti-TB treatment (ATT) outcomes remains unknown in high-burden countries.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We evaluated determinants of ATT outcome among pulmonary TB cases reported to the National Notifiable Disease Information System (SINAN) between June 2015 and June 2019, according to drug sensitivity testing (DST) results. Binomial logistic regression models were employed to evaluate whether Hr was associated with an unfavorable ATT outcome: death or failure, compared to cure or treatment completion.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Among 60 804 TB cases reported in SINAN, 21 197 (34.9%) were included in the study. In this database, the frequency of unfavorable outcomes was significantly higher in those with Hr in contrast to isoniazid-sensitive persons with pulmonary TB (9.1% vs 3.05%; P &amp;lt; .001). Using a binomial logistic regression model, Hr was independently associated with unfavorable outcomes (odds ratio, 3.34 [95% confidence interval, 2.06–5.40]; P &amp;lt; .001).</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Hr detected prior to ATT was predictive of unfavorable outcomes at the national level in Brazil. Our data reinforce the need for high-TB-burden countries to prioritize DST to detect Hr. Effective treatment regimens for Hr-TB are needed to improve outcomes.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography