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Lin Q, Shrestha S, Zhao S, Chiu APY, Liu Y, Yu C, Tao N, Li Y, Shao Y, He D, Li H. Changing Epidemiology of TB in Shandong, China Driven by Demographic Changes. Front Med (Lausanne) 2022; 9:810382. [PMID: 35355613 PMCID: PMC8959836 DOI: 10.3389/fmed.2022.810382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 01/31/2022] [Indexed: 11/24/2022] Open
Abstract
Tuberculosis (TB) incidence has been in steady decline in China over the last few decades. However, ongoing demographic transition, fueled by aging, and massive internal migration could have important implications for TB control in the future. We collated data on TB notification, demography, and drug resistance between 2004 and 2017 across seven cities in Shandong, the second most populous province in China. Using these data, and age-period-cohort models, we (i) quantified heterogeneities in TB incidence across cities, by age, sex, resident status, and occupation and (ii) projected future trends in TB incidence, including drug-resistant TB (DR-TB). Between 2006 and 2017, we observed (i) substantial variability in the rates of annual change in TB incidence across cities, from -4.84 to 1.52%; (ii) heterogeneities in the increments in the proportion of patients over 60 among reported TB cases differs from 2 to 13%, and from 0 to 17% for women; (iii) huge differences across cities in the annual growths in TB notification rates among migrant population between 2007 and 2017, from 2.81 cases per 100K migrants per year in Jinan to 22.11 cases per 100K migrants per year in Liaocheng, with drastically increasing burden of TB cases from farmers; and (iv) moderate and stable increase in the notification rates of DR-TB in the province. All of these trends were projected to continue over the next decade, increasing heterogeneities in TB incidence across cities and between populations. To sustain declines in TB incidence and to prevent an increase in Multiple DR-TB (MDR-TB) in the future in China, future TB control strategies may (i) need to be tailored to local demography, (ii) prioritize key populations, such as elderly and internal migrants, and (iii) enhance DR-TB surveillance.
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Affiliation(s)
- Qianying Lin
- Department of Applied Mathematics, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.,Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, United States
| | - Sourya Shrestha
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Shi Zhao
- Department of Applied Mathematics, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.,JC School of Public Health and Primary Care, Chinese University of Hong Kong, Johns Hopkins University, Shatin, Hong Kong SAR, China
| | - Alice P Y Chiu
- Department of Applied Mathematics, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Yao Liu
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | | | - Ningning Tao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Yifan Li
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Yang Shao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Daihai He
- Department of Applied Mathematics, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Huaichen Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
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Shen T, Liu Y, Shang J, Xie Q, Li J, Yan M, Xu J, Niu J, Liu J, Watkins PB, Aithal GP, Andrade RJ, Dou X, Yao L, Lv F, Wang Q, Li Y, Zhou X, Zhang Y, Zong P, Wan B, Zou Z, Yang D, Nie Y, Li D, Wang Y, Han X, Zhuang H, Mao Y, Chen C. Incidence and Etiology of Drug-Induced Liver Injury in Mainland China. Gastroenterology 2019; 156:2230-2241.e11. [PMID: 30742832 DOI: 10.1053/j.gastro.2019.02.002] [Citation(s) in RCA: 304] [Impact Index Per Article: 60.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 02/04/2019] [Accepted: 02/05/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND & AIMS We performed a nationwide, retrospective study to determine the incidence and causes of drug-induced liver injury (DILI) in mainland China. METHODS We collected data on a total of 25,927 confirmed DILI cases, hospitalized from 2012 through 2014 at 308 medical centers in mainland China. We collected demographic, medical history, treatment, laboratory, disease severity, and mortality data from all patients. Investigators at each site were asked to complete causality assessments for each case whose diagnosis at discharge was DILI (n = 29,478) according to the Roussel Uclaf Causality Assessment Method. RESULTS Most cases of DILI presented with hepatocellular injury (51.39%; 95% confidence interval [CI] 50.76-52.03), followed by mixed injury (28.30%; 95% CI 27.73-28.87) and cholestatic injury (20.31%; 95% CI 19.80-20.82). The leading single classes of implicated drugs were traditional Chinese medicines or herbal and dietary supplements (26.81%) and antituberculosis medications (21.99%). Chronic DILI occurred in 13.00% of the cases and, although 44.40% of the hepatocellular DILI cases fulfilled Hy's Law criteria, only 280 cases (1.08%) progressed to hepatic failure, 2 cases underwent liver transplantation (0.01%), and 102 patients died (0.39%). Among deaths, DILI was judged to have a primary role in 72 (70.59%), a contributory role in 21 (20.59%), and no role in 9 (8.82%). Assuming the proportion of DILI in the entire hospitalized population of China was represented by that observed in the 66 centers where DILI capture was complete, we estimated the annual incidence in the general population to be 23.80 per 100,000 persons (95% CI 20.86-26.74). Only hospitalized patients were included in this analysis, so the true incidence is likely to be higher. CONCLUSIONS In a retrospective study to determine the incidence and causes of DILI in mainland China, the annual incidence in the general population was estimated to be 23.80 per 100,000 persons; higher than that reported from Western countries. Traditional Chinese medicines, herbal and dietary supplements, and antituberculosis drugs were the leading causes of DILI in mainland China.
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Affiliation(s)
- Tao Shen
- Department of Microbiology and Center of Infectious Disease, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Yingxia Liu
- Department of Liver Disease, Third People's Hospital of Shenzhen, Shenzhen, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Qing Xie
- Department of Infectious Diseases, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jun Li
- Department of Infectious Diseases, Jiangsu Province Hospital, Nanjing, China
| | - Ming Yan
- Department of Elderly Digestive System, Qilu Hospital of Shandong University, Jinan, China
| | - Jianming Xu
- Department of Gastroenterology, First Affiliated Hospital of Medical University of Anhui, Hefei, China
| | - Junqi Niu
- Department of Hepatology, First Affiliated Hospital of Jilin University, Changchun, China
| | - Jiajun Liu
- Department of Infectious Diseases, First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Paul B Watkins
- Institute for Drug Safety Sciences, University of North Carolina at Chapel Hill, Research Triangle Park, and Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Guruprasad P Aithal
- NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University Of Nottingham, Nottingham, UK
| | - Raúl J Andrade
- Unidad de Gestión Clínica de Enfermedades Digestivas, Instituto de Investigación Biomédica de Malaga (IBIMA), Hospital Universitario Virgen de la Victoria, Universidad de Málaga, Málaga, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain
| | - Xiaoguang Dou
- Department of Infectious Diseases, Shengjing Hospital, China Medical University, Shenyang, China
| | - Lvfeng Yao
- Department of Gastroenterology, Mengchao Hepatobiliary Hospital, Fujian Medical University, Fuzhou, China
| | - Fangfang Lv
- Department of liver Infection, Sir Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qi Wang
- Department of Gastroenterology, Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Yongguo Li
- Department of Infectious Diseases, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xinmin Zhou
- Department of Hepatology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Yuexin Zhang
- Department of Infectious Diseases, First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
| | - Peilan Zong
- Department of Cardiology, Chest Hospital of Jiangxi Province, Nanchang, China
| | - Bin Wan
- Public Health Clinical Centre of Chengdu, Chengdu, China
| | - Zhengsheng Zou
- Center for Non-Infectious Liver Diseases, 302 Military Hospital of China, Beijing, China
| | - Dongliang Yang
- Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuqiang Nie
- Department of Gastroenterology, Guangzhou First People's Hospital, Guangzhou, China
| | - Dongliang Li
- Department of Hepatobiliary Disease, Fuzhou General Hospital of Nanjing Military Command, Fuzhou, China
| | - Yuya Wang
- Department of Microbiology and Center of Infectious Disease, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | | | - Hui Zhuang
- Department of Microbiology and Center of Infectious Disease, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Yimin Mao
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, and Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Chengwei Chen
- Shanghai Liver Diseases Research Center, 85th Hospital of Nanjing Military Command, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Li T, Du X, Shewade HD, Soe KT, Zhang H. What happens to migrant tuberculosis patients who are transferred out using a web-based system in China? PLoS One 2018; 13:e0206580. [PMID: 30408131 PMCID: PMC6224056 DOI: 10.1371/journal.pone.0206580] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Accepted: 10/16/2018] [Indexed: 11/22/2022] Open
Abstract
Background In China, internal migrants constitute one-fifth of tuberculosis (TB) patients registered for treatment in web-based TB information management system (TBIMS). Though China added a specific module in the web-based TBIMS in 2009, web-based transfer-out is not specifically recommended in the national guidelines. Objective In this country wide study among all registered migrant TB patients (2014–2015) that were transferred out using web-based TBIMS in China, to determine the i) timing of transfer-out in relation to period of treatment; ii) delay and attrition during transfer interval (between transfer-out and transfer-in); and iii) extent and risk factors for ‘not evaluated’ as the treatment outcome. Methods This was a cohort study involving review of web-based TBIMS data. Modified Poisson regression was used to build a predictive model for risk factors of ‘not evaluated’ as the treatment outcome. Results Among 7 284 patients, 5 900 (81.0%) were transferred out during the first two months after initiation of treatment or before treatment initiation and 7 088 (97.3%) patients had arrived at transfer-in unit. The median transfer interval was three (interquartile range: 0–14) days. Sixteen percent (1 176/7 284) patients had ‘not evaluated’ as their treatment outcome. ‘Not evaluated’ contributed to 66% of the unfavourable outcomes. Patients transferred from referral hospitals, migrated from out of prefecture, transferred out of prefecture, with sputum smear negative pulmonary TB, with TB pleurisy and with long delay between symptom onset and treatment initiation had significantly higher risk of ‘not evaluated’ as the outcome. Conclusion Web-based transfer helped as the delay and attrition during the transfer interval was quite short and treatment outcomes of more than four-fifths of transferred out migrant TB patients were available with transfer-out BMU. Once strategies to address the independent predictors of ‘not evaluated’ treatment outcome are devised, China may consider mandatory use of web-based TBIMS for transferring out migrant TB patients.
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Affiliation(s)
- Tao Li
- National Center for Tuberculosis Control and Prevention, China CDC, Beijing, China
| | - Xin Du
- National Center for Tuberculosis Control and Prevention, China CDC, Beijing, China
| | - Hemant Deepak Shewade
- International Union Against Tuberculosis and Lung Disease (The Union), South-East Asia Office, New Delhi, India
- International Union Against Tuberculosis and Lung Disease (The Union), Paris, France
| | - Kyaw Thu Soe
- Department of Medical Research (Pyin Oo Lwin Branch), Ministry of Health and Sports, Pyin Oo Lwin, The Republic of The Union of Myanmar
| | - Hui Zhang
- National Center for Tuberculosis Control and Prevention, China CDC, Beijing, China
- * E-mail:
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Li T, Zhang H, Shewade HD, Soe KT, Wang L, Du X. Patient and health system delays before registration among migrant patients with tuberculosis who were transferred out in China. BMC Health Serv Res 2018; 18:786. [PMID: 30340489 PMCID: PMC6194607 DOI: 10.1186/s12913-018-3583-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 09/28/2018] [Indexed: 11/20/2022] Open
Abstract
Background Early diagnosis and treatment is vital for effective tuberculosis (TB) management especially among migrant populations who are a vulnerable group. We aimed to study factors associated with delay before registration at country level among registered migrant TB patients in China (2014–15) who were transferred out (during treatment) through web-based TB information management system (TBIMS). Methods This was a cross sectional study involving review of TBIMS data. Delays (in days) were classified as follows: patient delay (from symptom onset to first doctor visit), health system delay (from first doctor visit to treatment initiation, divided into health system diagnosis and treatment delay before and after date of diagnosis respectively), diagnosis delay (from symptom onset to diagnosis) and total delay (from symptom onset to treatment initiation). Linear regression was used to build a predictive model (forward stepwise) for the socio-demographic, clinical and health system related factors associated with delay: one model for each type of delay. Delays were log transformed and included in the model. Results The median (IQR) patient delay, health system delay and total delay was 16 (6, 34), two (0, 6) and 22 (11, 41) days respectively. Factors associated with long patient, diagnosis and total delay were: female gender, age ≥ 65 years, sputum smear positive pulmonary TB and registration at referral hospital. Treatment initiation delay was significantly higher among those registered in referral hospitals, unemployed and previously treated. Among migrant patients having permanent residence out of province, health system diagnosis delay was significantly higher while treatment initiation delay after diagnosis was significantly lower when compared to patients having permanent residence within the prefecture. Conclusion Among migrant population with TB, patient delay contributed to the total delay. The factors identified including the need for improved coordination between referral hospitals and national programme have to be addressed if China has to end TB. Electronic supplementary material The online version of this article (10.1186/s12913-018-3583-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tao Li
- National Center for Tuberculosis Control and Prevention, China CDC, No. 155 Changbai Road, Changping District, Beijing, 102206, China
| | - Hui Zhang
- National Center for Tuberculosis Control and Prevention, China CDC, No. 155 Changbai Road, Changping District, Beijing, 102206, China
| | - Hemant Deepak Shewade
- International Union Against Tuberculosis and Lung Disease (The Union), South-East Asian Office, Delhi, India
| | - Kyaw Thu Soe
- Department of Medical Research (PyinOoLwin Branch), Ministry of Health and Sports, PyinOoLwin, Myanmar
| | - Lixia Wang
- National Center for Tuberculosis Control and Prevention, China CDC, No. 155 Changbai Road, Changping District, Beijing, 102206, China
| | - Xin Du
- National Center for Tuberculosis Control and Prevention, China CDC, No. 155 Changbai Road, Changping District, Beijing, 102206, China.
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Internal migration and transmission dynamics of tuberculosis in Shanghai, China: an epidemiological, spatial, genomic analysis. THE LANCET. INFECTIOUS DISEASES 2018; 18:788-795. [PMID: 29681517 DOI: 10.1016/s1473-3099(18)30218-4] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 02/27/2018] [Accepted: 03/12/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND Massive internal migration from rural to urban areas poses new challenges for tuberculosis control in China. We aimed to combine genomic, spatial, and epidemiological data to describe the dynamics of tuberculosis in an urban setting with large numbers of migrants. METHODS We did a population-based study of culture-positive Mycobacterium tuberculosis isolates in Songjiang, Shanghai. We used whole-genome sequencing to discriminate apparent genetic clusters of M tuberculosis sharing identical variable-number-tandem-repeat (VNTR) patterns, and analysed the relations between proximity of residence and the risk of genomically clustered M tuberculosis. Finally, we used genomic, spatial, and epidemiological data to estimate time of infection and transmission links among migrants and residents. FINDINGS Between Jan 1, 2009, and Dec 31, 2015, 1620 cases of culture-positive tuberculosis were recorded, 1211 (75%) of which occurred among internal migrants. 150 (69%) of 218 people sharing identical VNTR patterns had isolates within ten single-nucleotide polymorphisms (SNPs) of at least one other strain, consistent with recent transmission of M tuberculosis. Pairs of strains collected from individuals living in close proximity were more likely to be genetically similar than those from individuals who lived far away-for every additional km of distance between patients' homes, the odds that genotypically matched strains were within ten SNPs of each other decreased by about 10% (OR 0·89 [95% CI 0·87-0·91]; p<0·0001). We inferred that transmission from residents to migrants occurs as commonly as transmission from migrants to residents, and we estimated that more than two-thirds of migrants in genomic clusters were infected locally after migration. INTERPRETATION The primary mechanism driving local incidence of tuberculosis in urban centres is local transmission between both migrants and residents. Combined analysis of epidemiological, genomic, and spatial data contributes to a richer understanding of local transmission dynamics and should inform the design of more effective interventions. FUNDING National Natural Science Foundation of China, National Science and Technology Major Project of China, and US National Institutes of Health.
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Urban transmission of tuberculosis in China. THE LANCET. INFECTIOUS DISEASES 2018; 18:706-707. [PMID: 29681518 DOI: 10.1016/s1473-3099(18)30230-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 03/28/2018] [Indexed: 11/22/2022]
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Pang Y, Shang Y, Lu J, Liang Q, Dong L, Li Y, Zhao L, Jiang G, Huang H. GeneXpert MTB/RIF assay in the diagnosis of urinary tuberculosis from urine specimens. Sci Rep 2017; 7:6181. [PMID: 28733605 PMCID: PMC5522429 DOI: 10.1038/s41598-017-06517-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 06/14/2017] [Indexed: 01/09/2023] Open
Abstract
Conventional bacteriological methods are not generally helpful in diagnosing urinary tuberculosis (UTB). GeneXpert is endorsed for the detection of pulmonary tuberculosis, whereas the data on its utility for urine specimens is limited. In this study, we aimed to evaluate its performance on urine specimens in a country with high TB incidence. A total of 163 suspected UTB patients were consecutively enrolled in the analysis, including 37 (22.7%) culture-positive and 44 (27.0%) clinically diagnosed UTB cases. Compared with conventional culture, the sensitivity of GeneXpert (94.6%) was significantly higher than that of smear microscopy (40.5%, P < 0.001). When setting clinical diagnosis as gold standard, 51 out of 81 clinically diagnosed UTB cases were detected by GeneXpert, demonstrating a sensitivity of 63.0%, which was significantly higher than that of smear microscopy (18.5%, P < 0.001) and culture (45.7%, P = 0.027), respectively. In addition, the proportion of UTB cases in the migrant population was significantly higher than that in the resident population (P = 0.019). To conclude, our data demonstrate that GeneXpert outperforms AFB smear and culture for the detection of MTB in urine samples, which provides an alternative for the diagnosis of UTB. The migrant population and previously diagnosed TB cases are high risk factors for developing UTB cases.
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Affiliation(s)
- Yu Pang
- National Clinical Laboratory on Tuberculosis, Beijing Key laboratory for Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yuanyuan Shang
- National Clinical Laboratory on Tuberculosis, Beijing Key laboratory for Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Jie Lu
- Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Qian Liang
- National Clinical Laboratory on Tuberculosis, Beijing Key laboratory for Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Lingling Dong
- National Clinical Laboratory on Tuberculosis, Beijing Key laboratory for Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yunxu Li
- National Clinical Laboratory on Tuberculosis, Beijing Key laboratory for Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Liping Zhao
- National Clinical Laboratory on Tuberculosis, Beijing Key laboratory for Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Guanglu Jiang
- National Clinical Laboratory on Tuberculosis, Beijing Key laboratory for Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Hairong Huang
- National Clinical Laboratory on Tuberculosis, Beijing Key laboratory for Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China.
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