Literature DB >> 29025111

Protective effects of household-based TB interventions are robust to neighbourhood-level variation in exposure risk in Lima, Peru: a model-based analysis.

Jon Zelner1,2, Megan Murray1,3, Mercedes Becerra3,4,5, Jerome Galea3, Leonid Lecca3,4, Roger Calderon4, Rosa Yataco4, Zibiao Zhang5, Ted Cohen6.   

Abstract

Background: Untargeted active screening and treatment programmes for tuberculosis (TB) have not been shown to be more effective than passive screening and isoniazid preventive therapy (IPT) for reducing TB incidence. In this manuscript, we compare the efficacy of targeting screening and IPT on high-risk household contacts of diagnosed TB cases, with less-targeted active screening approaches in Lima, Peru.
Methods: We conducted a population-based prospective cohort study within households of TB cases in Lima. We identified all adults diagnosed with incident pulmonary TB from 2009 through 2012 at 106 participating public health centres (HC) within our catchment area of ∼3.3 million inhabitants. We estimated combined effects of community and household exposure on the risk of latent TB infection (LTBI) and incident TB disease. We used simulation modelling to assess the efficacy of TB screening programmes for reducing the risk of incident TB in these contacts.
Results: Individuals with household exposure to TB are more likely to present with LTBI and TB disease than those without this exposure, despite wide variation in community exposure. Simulations suggest that more cases are prevented by 1000 administrations of IPT to tuberculin skin test (TST)-positive household contacts of identified TB cases (30, 95% CI = 16,47) than from blanket screening and treatment in the community (7, 95% CI = 2,17). Conclusions: Household exposure remains a major driver of incident TB risk among household contacts of identified TB cases. Targeting interventions on these individuals is likely to prevent more cases of TB than blanket screening of individuals in the community.
© The Author 2017; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association

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Year:  2018        PMID: 29025111     DOI: 10.1093/ije/dyx171

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  4 in total

1.  Rifampicin and rifabutin resistance in 1003 Mycobacterium tuberculosis clinical isolates.

Authors:  Maha R Farhat; Jaimie Sixsmith; Roger Calderon; Nathan D Hicks; Sarah M Fortune; Megan Murray
Journal:  J Antimicrob Chemother       Date:  2019-06-01       Impact factor: 5.790

2.  GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions.

Authors:  Maha R Farhat; Luca Freschi; Roger Calderon; Thomas Ioerger; Matthew Snyder; Conor J Meehan; Bouke de Jong; Leen Rigouts; Alex Sloutsky; Devinder Kaur; Shamil Sunyaev; Dick van Soolingen; Jay Shendure; Jim Sacchettini; Megan Murray
Journal:  Nat Commun       Date:  2019-05-13       Impact factor: 14.919

3.  Protective impacts of household-based tuberculosis contact tracing are robust across endemic incidence levels and community contact patterns.

Authors:  Joshua Havumaki; Ted Cohen; Chengwei Zhai; Joel C Miller; Seth D Guikema; Marisa C Eisenberg; Jon Zelner
Journal:  PLoS Comput Biol       Date:  2021-02-08       Impact factor: 4.475

4.  Determinants of losses in the latent tuberculosis cascade of care in Brazil: A retrospective cohort study.

Authors:  Nélia C N Araújo; Constança M S Cruz; María B Arriaga; Juan M Cubillos-Angulo; Michael S Rocha; Paulo S Silveira-Mattos; Gisela M Matos; Izabella M B Marques; Isa Carolina P Espirito Santo; Luiza L Almeida; Caroline M Andrade; Leonardo A Souza; Eduardo M Netto; Bruno B Andrade
Journal:  Int J Infect Dis       Date:  2020-02-17       Impact factor: 3.623

  4 in total

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