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A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis

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  • Michael Scolarici
  • Ken Dekitani
  • Ling Chen
  • Marcia Sokol-Anderson
  • Daniel F Hoft
  • Soumya Chatterjee

Abstract

It is unknown whether patients with LTBI at high vs. low risk of developing active TB are currently adequately identified and treated in the US. In this study our objective was 1) To retrospectively apply the online calculator (tstin3d.com) to determine the probability of having LTBI and assign cumulative risk of progression. 2) Measure treatment outcomes in subjects with Low: 0-

Suggested Citation

  • Michael Scolarici & Ken Dekitani & Ling Chen & Marcia Sokol-Anderson & Daniel F Hoft & Soumya Chatterjee, 2018. "A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-12, November.
    • Handle: RePEc:plo:pone00:0207582
    DOI: 10.1371/journal.pone.0207582
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    References listed on IDEAS

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    1. Titilola Makanjuola & Henock B Taddese & Andrew Booth, 2014. "Factors Associated with Adherence to Treatment with Isoniazid for the Prevention of Tuberculosis amongst People Living with HIV/AIDS: A Systematic Review of Qualitative Data," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-13, February.
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