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Factors Associated with the Development of Secondary Multidrug-resistant Tuberculosis
BACKGROUND: Spread of multidrug-resistant tuberculosis (TB) is a threat to India's TB control program. We conducted this study with the objective to determine the risk factors for the development of secondary multidrug-resistant TB. METHODS: We conducted an unmatched case–control study involvin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547804/ https://www.ncbi.nlm.nih.gov/pubmed/31198502 http://dx.doi.org/10.4103/ijpvm.IJPVM_298_17 |
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author | Sharma, Parag Lalwani, Jaya Pandey, Pavan Thakur, Avinash |
author_facet | Sharma, Parag Lalwani, Jaya Pandey, Pavan Thakur, Avinash |
author_sort | Sharma, Parag |
collection | PubMed |
description | BACKGROUND: Spread of multidrug-resistant tuberculosis (TB) is a threat to India's TB control program. We conducted this study with the objective to determine the risk factors for the development of secondary multidrug-resistant TB. METHODS: We conducted an unmatched case–control study involving 247 multidrug-resistant TB patients as “cases” and 494 individuals who were declared as “cured” after category I DOTS treatment as “controls.” Data were collected through face-to-face interviews and review of treatment records. Multivariable logistic regressions were used to analyze the collected data. RESULTS: The mean duration for which cases took first-line anti-TB drug was 19.7 months. The mean duration between initial diagnosis of TB and diagnosis of multi-drug resistant TB (MDR-TB) was 28.3 months. In our study, 26.7%, 50.2%, and 23.1% of MDR-TB cases had one, two, or more previous episodes of TB before being diagnosed as MDR-TB. In multivariable analysis, low or no formal education (album-oriented rock [AOR] =1.63 [confidence interval (CI) = 1.03–3.11]), labor occupation (AOR = 2.15 [CI = 1.18–3.90]), smoking (AOR = 2.56 [CI = 1.19–3.26]), having HIV (AOR = 9.45 [CI = 6.80–15.9]), migration for job (AOR = 3.70 [CI = 1.96–5.67]), stopping TB treatment due to comorbid conditions (AOR = 8.86 [CI = 5.45–11.2]), and having type 2 diabetes (AOR = 3.4 [CI = 1.96–5.16]) were associated with MDR-TB. CONCLUSIONS: Government of India should devise strategy to prevent interruption of treatment to stop the emergence and spread of MDR-TB. We need to better integrate TB control activities with diabetes and tobacco control programs for better health outcome among patients. |
format | Online Article Text |
id | pubmed-6547804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-65478042019-06-13 Factors Associated with the Development of Secondary Multidrug-resistant Tuberculosis Sharma, Parag Lalwani, Jaya Pandey, Pavan Thakur, Avinash Int J Prev Med Original Research BACKGROUND: Spread of multidrug-resistant tuberculosis (TB) is a threat to India's TB control program. We conducted this study with the objective to determine the risk factors for the development of secondary multidrug-resistant TB. METHODS: We conducted an unmatched case–control study involving 247 multidrug-resistant TB patients as “cases” and 494 individuals who were declared as “cured” after category I DOTS treatment as “controls.” Data were collected through face-to-face interviews and review of treatment records. Multivariable logistic regressions were used to analyze the collected data. RESULTS: The mean duration for which cases took first-line anti-TB drug was 19.7 months. The mean duration between initial diagnosis of TB and diagnosis of multi-drug resistant TB (MDR-TB) was 28.3 months. In our study, 26.7%, 50.2%, and 23.1% of MDR-TB cases had one, two, or more previous episodes of TB before being diagnosed as MDR-TB. In multivariable analysis, low or no formal education (album-oriented rock [AOR] =1.63 [confidence interval (CI) = 1.03–3.11]), labor occupation (AOR = 2.15 [CI = 1.18–3.90]), smoking (AOR = 2.56 [CI = 1.19–3.26]), having HIV (AOR = 9.45 [CI = 6.80–15.9]), migration for job (AOR = 3.70 [CI = 1.96–5.67]), stopping TB treatment due to comorbid conditions (AOR = 8.86 [CI = 5.45–11.2]), and having type 2 diabetes (AOR = 3.4 [CI = 1.96–5.16]) were associated with MDR-TB. CONCLUSIONS: Government of India should devise strategy to prevent interruption of treatment to stop the emergence and spread of MDR-TB. We need to better integrate TB control activities with diabetes and tobacco control programs for better health outcome among patients. Wolters Kluwer - Medknow 2019-05-17 /pmc/articles/PMC6547804/ /pubmed/31198502 http://dx.doi.org/10.4103/ijpvm.IJPVM_298_17 Text en Copyright: © 2019 International Journal of Preventive Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Research Sharma, Parag Lalwani, Jaya Pandey, Pavan Thakur, Avinash Factors Associated with the Development of Secondary Multidrug-resistant Tuberculosis |
title | Factors Associated with the Development of Secondary Multidrug-resistant Tuberculosis |
title_full | Factors Associated with the Development of Secondary Multidrug-resistant Tuberculosis |
title_fullStr | Factors Associated with the Development of Secondary Multidrug-resistant Tuberculosis |
title_full_unstemmed | Factors Associated with the Development of Secondary Multidrug-resistant Tuberculosis |
title_short | Factors Associated with the Development of Secondary Multidrug-resistant Tuberculosis |
title_sort | factors associated with the development of secondary multidrug-resistant tuberculosis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547804/ https://www.ncbi.nlm.nih.gov/pubmed/31198502 http://dx.doi.org/10.4103/ijpvm.IJPVM_298_17 |
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