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Prediction Tool to Identify Children at Highest Risk of Tuberculosis Disease Progression Among Those Exposed at Home
BACKGROUND: There is a dearth of research to understand which children, among those who are exposed at home to tuberculosis (TB), are at the highest risk of TB disease, to tailor care. We sought to identify predictors of TB progression in children. METHODS: We conducted a prospective cohort study of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599776/ https://www.ncbi.nlm.nih.gov/pubmed/34805431 http://dx.doi.org/10.1093/ofid/ofab487 |
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author | Brooks, Meredith B Lecca, Leonid Contreras, Carmen Calderon, Roger Yataco, Rosa Galea, Jerome Huang, Chuan-Chin Murray, Megan B Becerra, Mercedes C |
author_facet | Brooks, Meredith B Lecca, Leonid Contreras, Carmen Calderon, Roger Yataco, Rosa Galea, Jerome Huang, Chuan-Chin Murray, Megan B Becerra, Mercedes C |
author_sort | Brooks, Meredith B |
collection | PubMed |
description | BACKGROUND: There is a dearth of research to understand which children, among those who are exposed at home to tuberculosis (TB), are at the highest risk of TB disease, to tailor care. We sought to identify predictors of TB progression in children. METHODS: We conducted a prospective cohort study of children living with adults with pulmonary TB in Lima, Peru (2009–2012). We applied classification and regression tree analysis to examine potential predictors of incident TB disease during 12 months in 3 age groups (0–4, 5–9, and 10–14 years). We calculated the relative risk (RR) for top predictors in each age group. RESULTS: Among 4545 children 0–14 years old, 156 (3.4%) were diagnosed with TB within 1 year of household exposure to TB (3.4%, 2.3%, and 4.7% in children 0–4, 5–9, and 10–14 years old, respectively). The most important predictor of TB was having a positive tuberculin skin test (TST) result, with RRs of 6.6 (95% CI, 4.0–10.7), 6.6 (95% CI, 3.2–13.6), and 5.2 (95% CI, 3.0–9.0) in the age groups 0–4, 5–9, and 10–14 years, respectively. In young children with a positive TST, not using isoniazid preventive treatment further increased risk of disease (RR, 12.2 [95% CI, 3.8–39.2]). CONCLUSIONS: We present a tool that identifies child household contacts at high risk of TB disease progression based on data collected during contact tracing. In addition to the use of TB preventive therapy for all children exposed at home to TB, those children at highest risk of progressing to TB disease may benefit from more frequent follow-up. |
format | Online Article Text |
id | pubmed-8599776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85997762021-11-18 Prediction Tool to Identify Children at Highest Risk of Tuberculosis Disease Progression Among Those Exposed at Home Brooks, Meredith B Lecca, Leonid Contreras, Carmen Calderon, Roger Yataco, Rosa Galea, Jerome Huang, Chuan-Chin Murray, Megan B Becerra, Mercedes C Open Forum Infect Dis Major Articles BACKGROUND: There is a dearth of research to understand which children, among those who are exposed at home to tuberculosis (TB), are at the highest risk of TB disease, to tailor care. We sought to identify predictors of TB progression in children. METHODS: We conducted a prospective cohort study of children living with adults with pulmonary TB in Lima, Peru (2009–2012). We applied classification and regression tree analysis to examine potential predictors of incident TB disease during 12 months in 3 age groups (0–4, 5–9, and 10–14 years). We calculated the relative risk (RR) for top predictors in each age group. RESULTS: Among 4545 children 0–14 years old, 156 (3.4%) were diagnosed with TB within 1 year of household exposure to TB (3.4%, 2.3%, and 4.7% in children 0–4, 5–9, and 10–14 years old, respectively). The most important predictor of TB was having a positive tuberculin skin test (TST) result, with RRs of 6.6 (95% CI, 4.0–10.7), 6.6 (95% CI, 3.2–13.6), and 5.2 (95% CI, 3.0–9.0) in the age groups 0–4, 5–9, and 10–14 years, respectively. In young children with a positive TST, not using isoniazid preventive treatment further increased risk of disease (RR, 12.2 [95% CI, 3.8–39.2]). CONCLUSIONS: We present a tool that identifies child household contacts at high risk of TB disease progression based on data collected during contact tracing. In addition to the use of TB preventive therapy for all children exposed at home to TB, those children at highest risk of progressing to TB disease may benefit from more frequent follow-up. Oxford University Press 2021-11-16 /pmc/articles/PMC8599776/ /pubmed/34805431 http://dx.doi.org/10.1093/ofid/ofab487 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Major Articles Brooks, Meredith B Lecca, Leonid Contreras, Carmen Calderon, Roger Yataco, Rosa Galea, Jerome Huang, Chuan-Chin Murray, Megan B Becerra, Mercedes C Prediction Tool to Identify Children at Highest Risk of Tuberculosis Disease Progression Among Those Exposed at Home |
title | Prediction Tool to Identify Children at Highest Risk of Tuberculosis Disease Progression Among Those Exposed at Home |
title_full | Prediction Tool to Identify Children at Highest Risk of Tuberculosis Disease Progression Among Those Exposed at Home |
title_fullStr | Prediction Tool to Identify Children at Highest Risk of Tuberculosis Disease Progression Among Those Exposed at Home |
title_full_unstemmed | Prediction Tool to Identify Children at Highest Risk of Tuberculosis Disease Progression Among Those Exposed at Home |
title_short | Prediction Tool to Identify Children at Highest Risk of Tuberculosis Disease Progression Among Those Exposed at Home |
title_sort | prediction tool to identify children at highest risk of tuberculosis disease progression among those exposed at home |
topic | Major Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599776/ https://www.ncbi.nlm.nih.gov/pubmed/34805431 http://dx.doi.org/10.1093/ofid/ofab487 |
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