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

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 cumu...

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Autores principales: Scolarici, Michael, Dekitani, Ken, Chen, Ling, Sokol-Anderson, Marcia, Hoft, Daniel F., Chatterjee, Soumya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237398/
https://www.ncbi.nlm.nih.gov/pubmed/30440033
http://dx.doi.org/10.1371/journal.pone.0207582
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author Scolarici, Michael
Dekitani, Ken
Chen, Ling
Sokol-Anderson, Marcia
Hoft, Daniel F.
Chatterjee, Soumya
author_facet Scolarici, Michael
Dekitani, Ken
Chen, Ling
Sokol-Anderson, Marcia
Hoft, Daniel F.
Chatterjee, Soumya
author_sort Scolarici, Michael
collection PubMed
description 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-<10%, Intermediate: 10-<50% and High: 50–100% cumulative risk. We performed medical record review of tuberculin skin test and/or Interferon-γ release assay (IGRAs) positive patients with LTBI seen from 2010–2015. Of 125 subjects included, 51(41%), 46 (37%) and 28 (22%) subjects were in Low, Intermediate and High risk groups respectively. Tstin3d.com was useful in determining the probability of LTBI in tuberculin skin test positive US-born subjects. Overall treatment completion rate was 61% in 114 subjects with complete treatment information and similar completion rates were seen in the three groups (Low-60%, Intermediate-63% and High-57%). Provider assessment of important clinical risk factors was often incomplete. Logistic regression analysis showed no association of assessment of important risk factors with treatment completion. The major limitations of the calculator are the lack of an updated data on country-specific prevalence of TB disease as the global burden of TB continues to decrease as well as falsely high positive predictive values that due to “transiently” positive IGRA results in subjects from countries with low prevalence. Nonetheless, our findings suggest that tstin3d.com could be utilized in the US setting for improving providing awareness of risk stratification of patients with LTBI for short course treatment regimens based on risk.
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spelling pubmed-62373982018-12-01 A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis Scolarici, Michael Dekitani, Ken Chen, Ling Sokol-Anderson, Marcia Hoft, Daniel F. Chatterjee, Soumya PLoS One Research Article 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-<10%, Intermediate: 10-<50% and High: 50–100% cumulative risk. We performed medical record review of tuberculin skin test and/or Interferon-γ release assay (IGRAs) positive patients with LTBI seen from 2010–2015. Of 125 subjects included, 51(41%), 46 (37%) and 28 (22%) subjects were in Low, Intermediate and High risk groups respectively. Tstin3d.com was useful in determining the probability of LTBI in tuberculin skin test positive US-born subjects. Overall treatment completion rate was 61% in 114 subjects with complete treatment information and similar completion rates were seen in the three groups (Low-60%, Intermediate-63% and High-57%). Provider assessment of important clinical risk factors was often incomplete. Logistic regression analysis showed no association of assessment of important risk factors with treatment completion. The major limitations of the calculator are the lack of an updated data on country-specific prevalence of TB disease as the global burden of TB continues to decrease as well as falsely high positive predictive values that due to “transiently” positive IGRA results in subjects from countries with low prevalence. Nonetheless, our findings suggest that tstin3d.com could be utilized in the US setting for improving providing awareness of risk stratification of patients with LTBI for short course treatment regimens based on risk. Public Library of Science 2018-11-15 /pmc/articles/PMC6237398/ /pubmed/30440033 http://dx.doi.org/10.1371/journal.pone.0207582 Text en © 2018 Scolarici et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Scolarici, Michael
Dekitani, Ken
Chen, Ling
Sokol-Anderson, Marcia
Hoft, Daniel F.
Chatterjee, Soumya
A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis
title A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis
title_full A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis
title_fullStr A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis
title_full_unstemmed A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis
title_short A scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis
title_sort scoring strategy for progression risk and rates of treatment completion in subjects with latent tuberculosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237398/
https://www.ncbi.nlm.nih.gov/pubmed/30440033
http://dx.doi.org/10.1371/journal.pone.0207582
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