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Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India
BACKGROUND: Differentiated tuberculosis (TB) care is an approach to improve treatment outcomes by tailoring TB management to the particular needs of patient groups based on their risk profile and comorbidities. In silicosis-prone areas, the coexistence of TB and silicosis may exacerbate treatment ou...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521559/ https://www.ncbi.nlm.nih.gov/pubmed/37752612 http://dx.doi.org/10.1186/s13690-023-01189-x |
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author | Rupani, Mihir P. |
author_facet | Rupani, Mihir P. |
author_sort | Rupani, Mihir P. |
collection | PubMed |
description | BACKGROUND: Differentiated tuberculosis (TB) care is an approach to improve treatment outcomes by tailoring TB management to the particular needs of patient groups based on their risk profile and comorbidities. In silicosis-prone areas, the coexistence of TB and silicosis may exacerbate treatment outcomes. The objective of the study was to determine predictors of TB-related mortality, treatment failure, and loss to follow-up in a silicosis-prone region of western India. METHODS: A retrospective cohort was conducted among 2748 people with TB registered between January 2006 and February 2022 in Khambhat, a silicosis-prone block in western India. Death, treatment failure, and loss to follow up were the outcome variables. The significant predictors of each outcome variable were determined using multivariable logistic regression and reported as adjusted odds ratios (aOR) with 95% confidence intervals (CIs). RESULTS: In the cohort of 2,748 people with TB, 5% presented with silicosis, 11% succumbed to the disease, 5% were lost to follow-up during treatment, and 2% encountered treatment failure upon completion of therapy. On multivariable logistic regression, concomitant silicosis [aOR 2.3 (95% CI 1.5–3.5)], advancing age [aOR 1.03 (95% CI 1.02–1.04)], male gender [aOR 1.4 (95% 1.1–1.9)], human immunodeficiency virus (HIV) positive [aOR 2.2 (95% 1.02–4.6)], and previous TB treatment [aOR 1.5 (95% CI 1.1–1.9)] significantly predicted mortality among people with TB. Concomitant silicosis [aOR 3 (95% CI 1.4–6.5)], previous TB treatment [aOR 3 (95% CI 2–6)], and multi-drug resistant TB [aOR 18 (95% CI 8–41)] were the significant predictors of treatment failure on adjusted analysis. Advancing age [aOR 1.012 (1.001–1.023)], diabetes [aOR 0.6 (0.4–0.8)], and multi-drug resistance [aOR 6 (95% CI 3–12)] significantly predicted loss to follow-up after adjusting for confounders. CONCLUSIONS: Controlling silicosis might decrease TB mortality and treatment failure in silicosis-prone regions. The coexistence of HIV and silicosis may point to an increase in TB deaths in silicosis-prone areas. Silicosis should now be acknowledged as a major comorbidity of TB and should be included as one of the key risk factors in the differentiated TB care approach. Primary care physicians should have a high clinical suspicion for silicosis among individuals diagnosed with TB in silicosis-prone blocks. |
format | Online Article Text |
id | pubmed-10521559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105215592023-09-27 Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India Rupani, Mihir P. Arch Public Health Research BACKGROUND: Differentiated tuberculosis (TB) care is an approach to improve treatment outcomes by tailoring TB management to the particular needs of patient groups based on their risk profile and comorbidities. In silicosis-prone areas, the coexistence of TB and silicosis may exacerbate treatment outcomes. The objective of the study was to determine predictors of TB-related mortality, treatment failure, and loss to follow-up in a silicosis-prone region of western India. METHODS: A retrospective cohort was conducted among 2748 people with TB registered between January 2006 and February 2022 in Khambhat, a silicosis-prone block in western India. Death, treatment failure, and loss to follow up were the outcome variables. The significant predictors of each outcome variable were determined using multivariable logistic regression and reported as adjusted odds ratios (aOR) with 95% confidence intervals (CIs). RESULTS: In the cohort of 2,748 people with TB, 5% presented with silicosis, 11% succumbed to the disease, 5% were lost to follow-up during treatment, and 2% encountered treatment failure upon completion of therapy. On multivariable logistic regression, concomitant silicosis [aOR 2.3 (95% CI 1.5–3.5)], advancing age [aOR 1.03 (95% CI 1.02–1.04)], male gender [aOR 1.4 (95% 1.1–1.9)], human immunodeficiency virus (HIV) positive [aOR 2.2 (95% 1.02–4.6)], and previous TB treatment [aOR 1.5 (95% CI 1.1–1.9)] significantly predicted mortality among people with TB. Concomitant silicosis [aOR 3 (95% CI 1.4–6.5)], previous TB treatment [aOR 3 (95% CI 2–6)], and multi-drug resistant TB [aOR 18 (95% CI 8–41)] were the significant predictors of treatment failure on adjusted analysis. Advancing age [aOR 1.012 (1.001–1.023)], diabetes [aOR 0.6 (0.4–0.8)], and multi-drug resistance [aOR 6 (95% CI 3–12)] significantly predicted loss to follow-up after adjusting for confounders. CONCLUSIONS: Controlling silicosis might decrease TB mortality and treatment failure in silicosis-prone regions. The coexistence of HIV and silicosis may point to an increase in TB deaths in silicosis-prone areas. Silicosis should now be acknowledged as a major comorbidity of TB and should be included as one of the key risk factors in the differentiated TB care approach. Primary care physicians should have a high clinical suspicion for silicosis among individuals diagnosed with TB in silicosis-prone blocks. BioMed Central 2023-09-26 /pmc/articles/PMC10521559/ /pubmed/37752612 http://dx.doi.org/10.1186/s13690-023-01189-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Rupani, Mihir P. Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India |
title | Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India |
title_full | Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India |
title_fullStr | Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India |
title_full_unstemmed | Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India |
title_short | Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India |
title_sort | silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated tb care models in india |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521559/ https://www.ncbi.nlm.nih.gov/pubmed/37752612 http://dx.doi.org/10.1186/s13690-023-01189-x |
work_keys_str_mv | AT rupanimihirp silicosisasapredictoroftuberculosismortalityandtreatmentfailureandneedforincorporationindifferentiatedtbcaremodelsinindia |