Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783371189172830208 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6237398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT scolaricimichael ascoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT dekitaniken ascoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT chenling ascoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT sokolandersonmarcia ascoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT hoftdanielf ascoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT chatterjeesoumya ascoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT scolaricimichael scoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT dekitaniken scoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT chenling scoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT sokolandersonmarcia scoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT hoftdanielf scoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis AT chatterjeesoumya scoringstrategyforprogressionriskandratesoftreatmentcompletioninsubjectswithlatenttuberculosis |