Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis
BackgroundUnderstanding multidrug-resistant tuberculosis (MDR-TB) transmission patterns is crucial for controlling the disease. We aimed to identify high-risk populations and geographic settings of MDR-TB transmission.MethodsWe conducted a population-based retrospective study of MDR-TB patients in B...
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| Format: | Article |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019198/full |
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| author | Jinfeng Yin Jinfeng Yin Hongwei Zhang Zhidong Gao Hui Jiang Hui Jiang Liyi Qin Liyi Qin Chendi Zhu Chendi Zhu Qian Gao Xiaoxin He Weimin Li Weimin Li |
| author_facet | Jinfeng Yin Jinfeng Yin Hongwei Zhang Zhidong Gao Hui Jiang Hui Jiang Liyi Qin Liyi Qin Chendi Zhu Chendi Zhu Qian Gao Xiaoxin He Weimin Li Weimin Li |
| author_sort | Jinfeng Yin |
| collection | DOAJ |
| description | BackgroundUnderstanding multidrug-resistant tuberculosis (MDR-TB) transmission patterns is crucial for controlling the disease. We aimed to identify high-risk populations and geographic settings of MDR-TB transmission.MethodsWe conducted a population-based retrospective study of MDR-TB patients in Beijing from 2018 to 2020, and assessed MDR-TB recent transmission using whole-genome sequencing of isolates. Geospatial analysis was conducted with kernel density estimation. We combined TransPhylo software with epidemiological investigation data to construct transmission networks. Logistic regression analysis was utilized to identify risk factors for recent transmission.ResultsWe included 241 MDR-TB patients, of which 146 (60.58%) were available for genomic analysis. Drug resistance prediction showed that resistance to fluoroquinolones (FQs) was as high as 39.74% among new cases. 36 (24.66%) of the 146 MDR strains were grouped into 12 genome clusters, suggesting recent transmission of MDR strains. 44.82% (13/29) of the clustered patients lived in the same residential community, adjacent residential community or the same street as other cases. The inferred transmission chain found a total of 6 transmission events in 3 clusters; of these, 4 transmission events occurred in residential areas and nearby public places. Logistic regression analysis revealed that being aged 25–34 years-old was a risk factor for recent transmission.ConclusionsThe recent transmission of MDR-TB in Beijing is severe, and residential areas are common sites of transmission; high levels of FQs drug resistance suggest that FQs should be used with caution unless resistance can be ruled out by laboratory testing. |
| first_indexed | 2024-04-11T23:21:29Z |
| format | Article |
| id | doaj.art-e4307e06b3f248ea8ba6637432b308ff |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-11T23:21:29Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-e4307e06b3f248ea8ba6637432b308ff2022-12-22T03:57:27ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-11-011010.3389/fpubh.2022.10191981019198Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysisJinfeng Yin0Jinfeng Yin1Hongwei Zhang2Zhidong Gao3Hui Jiang4Hui Jiang5Liyi Qin6Liyi Qin7Chendi Zhu8Chendi Zhu9Qian Gao10Xiaoxin He11Weimin Li12Weimin Li13Beijing Chest Hospital, Capital Medical University, Beijing, ChinaNational Tuberculosis Clinical Laboratory, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, ChinaTuberculosis Prevention and Control Institute, Beijing Center for Disease Prevention and Control, Beijing, ChinaTuberculosis Prevention and Control Institute, Beijing Center for Disease Prevention and Control, Beijing, ChinaBeijing Chest Hospital, Capital Medical University, Beijing, ChinaNational Tuberculosis Clinical Laboratory, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, ChinaBeijing Chest Hospital, Capital Medical University, Beijing, ChinaNational Tuberculosis Clinical Laboratory, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, ChinaBeijing Chest Hospital, Capital Medical University, Beijing, ChinaNational Tuberculosis Clinical Laboratory, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, ChinaKey Laboratory of Medical Molecular Virology, School of Basic Medical Sciences, Fudan University, Shanghai, ChinaTuberculosis Prevention and Control Institute, Beijing Center for Disease Prevention and Control, Beijing, ChinaBeijing Chest Hospital, Capital Medical University, Beijing, ChinaNational Tuberculosis Clinical Laboratory, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, ChinaBackgroundUnderstanding multidrug-resistant tuberculosis (MDR-TB) transmission patterns is crucial for controlling the disease. We aimed to identify high-risk populations and geographic settings of MDR-TB transmission.MethodsWe conducted a population-based retrospective study of MDR-TB patients in Beijing from 2018 to 2020, and assessed MDR-TB recent transmission using whole-genome sequencing of isolates. Geospatial analysis was conducted with kernel density estimation. We combined TransPhylo software with epidemiological investigation data to construct transmission networks. Logistic regression analysis was utilized to identify risk factors for recent transmission.ResultsWe included 241 MDR-TB patients, of which 146 (60.58%) were available for genomic analysis. Drug resistance prediction showed that resistance to fluoroquinolones (FQs) was as high as 39.74% among new cases. 36 (24.66%) of the 146 MDR strains were grouped into 12 genome clusters, suggesting recent transmission of MDR strains. 44.82% (13/29) of the clustered patients lived in the same residential community, adjacent residential community or the same street as other cases. The inferred transmission chain found a total of 6 transmission events in 3 clusters; of these, 4 transmission events occurred in residential areas and nearby public places. Logistic regression analysis revealed that being aged 25–34 years-old was a risk factor for recent transmission.ConclusionsThe recent transmission of MDR-TB in Beijing is severe, and residential areas are common sites of transmission; high levels of FQs drug resistance suggest that FQs should be used with caution unless resistance can be ruled out by laboratory testing.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019198/fulltransmissionmultidrug-resistant tuberculosiswhole-genome sequencingmigrantsepidemiology |
| spellingShingle | Jinfeng Yin Jinfeng Yin Hongwei Zhang Zhidong Gao Hui Jiang Hui Jiang Liyi Qin Liyi Qin Chendi Zhu Chendi Zhu Qian Gao Xiaoxin He Weimin Li Weimin Li Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis Frontiers in Public Health transmission multidrug-resistant tuberculosis whole-genome sequencing migrants epidemiology |
| title | Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis |
| title_full | Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis |
| title_fullStr | Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis |
| title_full_unstemmed | Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis |
| title_short | Transmission of multidrug-resistant tuberculosis in Beijing, China: An epidemiological and genomic analysis |
| title_sort | transmission of multidrug resistant tuberculosis in beijing china an epidemiological and genomic analysis |
| topic | transmission multidrug-resistant tuberculosis whole-genome sequencing migrants epidemiology |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019198/full |
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