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Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012–2020 Period Analysis

PURPOSE: We analyzed the trends and predictors of multidrug-resistant (MDR) or rifampicin-resistant (RR) tuberculosis (TB) in culture-positive cases in Shenzhen during 2012–2020, after the implementation of improved strategies (scale-up molecular drug susceptibility testing [mDST], expansion of DST...

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Autores principales: Lecai, Ji, Mijiti, Peierdun, Chuangyue, Hong, Mingzhen, Li, Qian, Gao, Weiguo, Tan, Jihong, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558316/
https://www.ncbi.nlm.nih.gov/pubmed/34737588
http://dx.doi.org/10.2147/IDR.S335329
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author Lecai, Ji
Mijiti, Peierdun
Chuangyue, Hong
Mingzhen, Li
Qian, Gao
Weiguo, Tan
Jihong, Chen
author_facet Lecai, Ji
Mijiti, Peierdun
Chuangyue, Hong
Mingzhen, Li
Qian, Gao
Weiguo, Tan
Jihong, Chen
author_sort Lecai, Ji
collection PubMed
description PURPOSE: We analyzed the trends and predictors of multidrug-resistant (MDR) or rifampicin-resistant (RR) tuberculosis (TB) in culture-positive cases in Shenzhen during 2012–2020, after the implementation of improved strategies (scale-up molecular drug susceptibility testing [mDST], expansion of DST eligibility, and generous reimbursement of MDR-TB outpatient care costs). MATERIALS AND METHODS: We retrospectively extracted and analyzed data from the TB Information System on drug-resistant pulmonary tuberculosis diagnosed in Shenzhen during the 2012–2020 period. We analyzed trends in RR- and MDR-TB rates in new cases during 2012–2018 and 2018–2020 periods, and among previously-treated cases during 2012–2017 and 2017–2020 periods, using Cochran-Armitage tests. We generated multivariate logistic regression models to analyze demographic predictors of MDR/RR-TB rates. RESULTS: We found 21,367 positive mycobacterial cultures in Shenzhen during the 2012–2020 period, and 19,951 (93.4%) were identified as Mycobacterium tuberculosis and had DST results (92.0% of those were mDST-based). Of these patients with DST results, 1630 (8.2%) were RR-TB, and 1142 (5.7%) were MDR-TB. Of the RR-TB, 70% were MDR-TB. The MDR/RR-TB rate in new TB cases increased significantly during the 2012–2018 period (P(trend) < 0.05), but it decreased in the 2018–2020 period (P(trend) > 0.05, with a significant trend for MDR-TB). Among previously treated cases, the temporal MDR/RR-TB rate trends did not differ significantly (P(trend) > 0.05). Our multivariate analysis showed that age younger than 30 years, housework service/unemployment, local residency, and previous TB treatment were all predictors of MDR/RR-TB. The percentage of patients with MDR-TB on treatment increased from 49.4% in 2012 to 70.5% in 2020. The treatment success rate of patients with MDR-TB during the 2012–2018 period was 71%. CONCLUSION: During the study period in Shenzhen, the cases of MDR/RR-TB were detected, and the treatment enrollment increased and the MDR-TB rates decreased gradually after 2017. Decreasing trends may reflect the efficacy of improved strategies; however, their long-term impact on the MDR-TB burden remains to be investigated. The predictors of MDR-TB identified in our study should be considered when developing targeted MDR-TB control strategies.
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spelling pubmed-85583162021-11-03 Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012–2020 Period Analysis Lecai, Ji Mijiti, Peierdun Chuangyue, Hong Mingzhen, Li Qian, Gao Weiguo, Tan Jihong, Chen Infect Drug Resist Original Research PURPOSE: We analyzed the trends and predictors of multidrug-resistant (MDR) or rifampicin-resistant (RR) tuberculosis (TB) in culture-positive cases in Shenzhen during 2012–2020, after the implementation of improved strategies (scale-up molecular drug susceptibility testing [mDST], expansion of DST eligibility, and generous reimbursement of MDR-TB outpatient care costs). MATERIALS AND METHODS: We retrospectively extracted and analyzed data from the TB Information System on drug-resistant pulmonary tuberculosis diagnosed in Shenzhen during the 2012–2020 period. We analyzed trends in RR- and MDR-TB rates in new cases during 2012–2018 and 2018–2020 periods, and among previously-treated cases during 2012–2017 and 2017–2020 periods, using Cochran-Armitage tests. We generated multivariate logistic regression models to analyze demographic predictors of MDR/RR-TB rates. RESULTS: We found 21,367 positive mycobacterial cultures in Shenzhen during the 2012–2020 period, and 19,951 (93.4%) were identified as Mycobacterium tuberculosis and had DST results (92.0% of those were mDST-based). Of these patients with DST results, 1630 (8.2%) were RR-TB, and 1142 (5.7%) were MDR-TB. Of the RR-TB, 70% were MDR-TB. The MDR/RR-TB rate in new TB cases increased significantly during the 2012–2018 period (P(trend) < 0.05), but it decreased in the 2018–2020 period (P(trend) > 0.05, with a significant trend for MDR-TB). Among previously treated cases, the temporal MDR/RR-TB rate trends did not differ significantly (P(trend) > 0.05). Our multivariate analysis showed that age younger than 30 years, housework service/unemployment, local residency, and previous TB treatment were all predictors of MDR/RR-TB. The percentage of patients with MDR-TB on treatment increased from 49.4% in 2012 to 70.5% in 2020. The treatment success rate of patients with MDR-TB during the 2012–2018 period was 71%. CONCLUSION: During the study period in Shenzhen, the cases of MDR/RR-TB were detected, and the treatment enrollment increased and the MDR-TB rates decreased gradually after 2017. Decreasing trends may reflect the efficacy of improved strategies; however, their long-term impact on the MDR-TB burden remains to be investigated. The predictors of MDR-TB identified in our study should be considered when developing targeted MDR-TB control strategies. Dove 2021-10-27 /pmc/articles/PMC8558316/ /pubmed/34737588 http://dx.doi.org/10.2147/IDR.S335329 Text en © 2021 Lecai et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Lecai, Ji
Mijiti, Peierdun
Chuangyue, Hong
Mingzhen, Li
Qian, Gao
Weiguo, Tan
Jihong, Chen
Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012–2020 Period Analysis
title Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012–2020 Period Analysis
title_full Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012–2020 Period Analysis
title_fullStr Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012–2020 Period Analysis
title_full_unstemmed Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012–2020 Period Analysis
title_short Predictors and Trends of MDR/RR-TB in Shenzhen China: A Retrospective 2012–2020 Period Analysis
title_sort predictors and trends of mdr/rr-tb in shenzhen china: a retrospective 2012–2020 period analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558316/
https://www.ncbi.nlm.nih.gov/pubmed/34737588
http://dx.doi.org/10.2147/IDR.S335329
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