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A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh

BACKGROUND: Data are scarce regarding the prevalence of diabetes mellitus (DM) among tuberculosis (TB) patients in Bangladesh. This study was undertaken to estimate the number needed to screen (NNS) to identify a case of DM among those with TB symptoms and those with confirmed TB disease, and to ide...

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Autores principales: Paul, Kishor Kumar, Alkabab, Yosra M.A., Rahman, Md Mahfuzur, Ahmed, Shahriar, Amin, Md Jobaer, Hossain, Md Delwar, Heysell, Scott K., Banu, Sayera
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006482/
https://www.ncbi.nlm.nih.gov/pubmed/31926354
http://dx.doi.org/10.1016/j.ijid.2020.01.001
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author Paul, Kishor Kumar
Alkabab, Yosra M.A.
Rahman, Md Mahfuzur
Ahmed, Shahriar
Amin, Md Jobaer
Hossain, Md Delwar
Heysell, Scott K.
Banu, Sayera
author_facet Paul, Kishor Kumar
Alkabab, Yosra M.A.
Rahman, Md Mahfuzur
Ahmed, Shahriar
Amin, Md Jobaer
Hossain, Md Delwar
Heysell, Scott K.
Banu, Sayera
author_sort Paul, Kishor Kumar
collection PubMed
description BACKGROUND: Data are scarce regarding the prevalence of diabetes mellitus (DM) among tuberculosis (TB) patients in Bangladesh. This study was undertaken to estimate the number needed to screen (NNS) to identify a case of DM among those with TB symptoms and those with confirmed TB disease, and to identify factors predicting treatment outcomes of TB patients with and without DM. METHODS: Persons attending public–private model screening centres in urban Dhaka for the evaluation of TB were offered free blood glucose testing in addition to computer-aided chest X-ray and sputum Xpert MTB/RIF. RESULTS: Among 7647 people evaluated for both TB and DM, the NNS was 35 (95% confidence interval (CI) 31–40) to diagnose one new case of DM; among those diagnosed with TB, the NNS was 21 (95% CI 17–29). Among those with diagnosed TB, patients with DM were more likely to have cavitation on chest X-ray compared to those without DM (31% vs 22%). Treatment failure (odds ratio (OR) 18.9, 95% CI 5.43–65.9) and death (OR 2.08, 95% CI 1.11–3.90) were more common among TB patients with DM than among TB patients without DM. DM was the most important predictor of a poor treatment outcome in the classification analysis for TB patients aged 39 years and above. CONCLUSIONS: A considerable burden of DM was found among patients accessing TB diagnostics through a public–private model in urban Bangladesh, and DM was associated with advanced TB disease and a high rate of poor treatment outcome.
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spelling pubmed-90064822022-04-13 A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh Paul, Kishor Kumar Alkabab, Yosra M.A. Rahman, Md Mahfuzur Ahmed, Shahriar Amin, Md Jobaer Hossain, Md Delwar Heysell, Scott K. Banu, Sayera Int J Infect Dis Article BACKGROUND: Data are scarce regarding the prevalence of diabetes mellitus (DM) among tuberculosis (TB) patients in Bangladesh. This study was undertaken to estimate the number needed to screen (NNS) to identify a case of DM among those with TB symptoms and those with confirmed TB disease, and to identify factors predicting treatment outcomes of TB patients with and without DM. METHODS: Persons attending public–private model screening centres in urban Dhaka for the evaluation of TB were offered free blood glucose testing in addition to computer-aided chest X-ray and sputum Xpert MTB/RIF. RESULTS: Among 7647 people evaluated for both TB and DM, the NNS was 35 (95% confidence interval (CI) 31–40) to diagnose one new case of DM; among those diagnosed with TB, the NNS was 21 (95% CI 17–29). Among those with diagnosed TB, patients with DM were more likely to have cavitation on chest X-ray compared to those without DM (31% vs 22%). Treatment failure (odds ratio (OR) 18.9, 95% CI 5.43–65.9) and death (OR 2.08, 95% CI 1.11–3.90) were more common among TB patients with DM than among TB patients without DM. DM was the most important predictor of a poor treatment outcome in the classification analysis for TB patients aged 39 years and above. CONCLUSIONS: A considerable burden of DM was found among patients accessing TB diagnostics through a public–private model in urban Bangladesh, and DM was associated with advanced TB disease and a high rate of poor treatment outcome. 2020-03 2020-01-08 /pmc/articles/PMC9006482/ /pubmed/31926354 http://dx.doi.org/10.1016/j.ijid.2020.01.001 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Paul, Kishor Kumar
Alkabab, Yosra M.A.
Rahman, Md Mahfuzur
Ahmed, Shahriar
Amin, Md Jobaer
Hossain, Md Delwar
Heysell, Scott K.
Banu, Sayera
A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh
title A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh
title_full A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh
title_fullStr A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh
title_full_unstemmed A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh
title_short A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka, Bangladesh
title_sort public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in dhaka, bangladesh
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006482/
https://www.ncbi.nlm.nih.gov/pubmed/31926354
http://dx.doi.org/10.1016/j.ijid.2020.01.001
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