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Quan Z, Xu J, Li M, Cheng C, Mijiti P, Jiang Q, Takiff H, Ren Z, Gao Q. Transmission of tuberculosis in rural Henan, China: a prospective population-based genomic spatial epidemiological study. Emerg Microbes Infect 2024; 13:2399273. [PMID: 39207222 PMCID: PMC11378662 DOI: 10.1080/22221751.2024.2399273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 08/21/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024]
Abstract
The incidence of tuberculosis (TB) has declined more slowly in rural than urban areas in China, and data on the patterns of transmission and the high-risk populations in rural areas remains scarce. We conducted a population-based study of culture-positive pulmonary TB patients diagnosed in rural Linzhou City, Henan Province from July 2018 to February 2023. Genomic clusters were defined based on whole-genome sequencing and risk factors for clustering were identified by logistic regression. Transmission events were inferred with phybreak and transmission links were sought through epidemiological investigation of clustered patients. Logistic regression was used to explore the relationship between genomic differences of patient isolates and geographical distances of patient residences. Spatial hotspots were defined using kernel density estimation. Of 455 culture-positive patients, 430 were included in the final analysis. Overall, 192 (44.7%,192/430) patients were grouped into 49 clusters. Clusters containing ≥5 patients accounted for 18.4% (9/49) of the clusters and clustering was highest in student patients. No super-spreaders were detected. Confirmed epidemiologic links were identified for only 18.2% of clustered patients. The clustering risk decreased rapidly with increasing distances between patient residences, but 77.6% of clustered patient pairs lived ≥5.0 km apart. Both the Central Subdistrict and Rencun Township were identified as hotspots for TB transmission. Recent transmission appears to be an important driver of the TB burden in Linzhou. The formulation of effective strategies to reduce TB incidence in rural areas will require further studies to identify high-risk populations and venues where local inhabitants congregate and transmit the infection.
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Affiliation(s)
- Zhuo Quan
- Shanghai Institute of Infectious Disease and Biosecurity, Key Laboratory of Medical Molecular Virology (MOE/ NHC/CAMS), School of Basic Medical Science, Fudan University, Shanghai, People's Republic of China
| | - Jiying Xu
- Institution for Tuberculosis Prevention and Control, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, People's Republic of China
| | - Meng Li
- Shanghai Institute of Infectious Disease and Biosecurity, Key Laboratory of Medical Molecular Virology (MOE/ NHC/CAMS), School of Basic Medical Science, Fudan University, Shanghai, People's Republic of China
| | - Changyu Cheng
- Linzhou City Center for Disease Control and Prevention, Anyang, People's Republic of China
| | - Peierdun Mijiti
- Shanghai Institute of Infectious Disease and Biosecurity, Key Laboratory of Medical Molecular Virology (MOE/ NHC/CAMS), School of Basic Medical Science, Fudan University, Shanghai, People's Republic of China
| | - Qi Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, People's Republic of China
| | - Howard Takiff
- Laboratorio de Genética Molecular, CMBC, Instituto Venezolano de Investigaciones Científicas, IVIC, Caracas, Venezuela
| | - Zhenhuan Ren
- Linzhou City Center for Disease Control and Prevention, Anyang, People's Republic of China
| | - Qian Gao
- Shanghai Institute of Infectious Disease and Biosecurity, Key Laboratory of Medical Molecular Virology (MOE/ NHC/CAMS), School of Basic Medical Science, Fudan University, Shanghai, People's Republic of China
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Guo T, Tian S, Xin H, Du J, Cao X, Feng B, He Y, He Y, Wang D, Zhang B, Liu Z, Yan J, Shen L, Di Y, Chen Y, Jin Q, Pan S, Kioumourtzoglou MA, Gao L, Gao X. Impact of fine particulate matter on latent tuberculosis infection and active tuberculosis in older adults: a population-based multicentre cohort study. Emerg Microbes Infect 2024; 13:2302852. [PMID: 38240283 PMCID: PMC10826784 DOI: 10.1080/22221751.2024.2302852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/03/2024] [Indexed: 01/30/2024]
Abstract
Evidence showed that air pollution was associated with an increased risk of tuberculosis (TB). This study aimed to study the impact of long-term exposure to ambient particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) on the acquisition of LTBI and on the risk of subsequent active disease development among rural older adults from a multicentre cohort, which have not yet been investigated to date. A total of 4790 older adults were included in a population-based, multicentre, prospective cohort study (LATENTTB-NSTM) from 2013 to 2018. The level of long-term exposure to PM2.5 for each participant was assessed by aggregating satellite-based estimates. Logistic regression and time-varying Cox proportional hazards models with province-level random intercepts were employed to assess associations of long-term exposures to PM2.5 with the risk of LTBI and subsequent development of active TB, respectively. Out of 4790 participants, 3284 were LTBI-free at baseline, among whom 2806 completed the one-year follow-up and 127 developed newly identified LTBI. No significant associations were identified between PM2.5 and the risk of LTBI. And among 1506 participants with LTBI at baseline, 30 active TB cases were recorded during the 5-year follow-up. Particularly, an increment of 5 μg/m3 in 2-year moving averaged PM2.5 was associated with a 50.6% increased risk of active TB (HR = 1.506, 95% CI: 1.161-1.955). Long-term air pollution might be a neglected risk factor for active TB development from LTBI, especially for those living in developing or less-developed areas where the air quality is poor.
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Affiliation(s)
- Tonglei Guo
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Sifan Tian
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, People’s Republic of China
| | - Henan Xin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Jiang Du
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Xuefang Cao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Boxuan Feng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yijun He
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yongpeng He
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Dakuan Wang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | - Bin Zhang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | - Zisen Liu
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | - Jiaoxia Yan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | - Lingyu Shen
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yuanzhi Di
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yanxiao Chen
- College of Public Health, Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Qi Jin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Shouguo Pan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | | | - Lei Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Xu Gao
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, People’s Republic of China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, People's Republic of China
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Gao W, Wang W, Li J, Gao Y, Zhang S, Lei H, He L, Li T, He J. Drug-resistance characteristics, genetic diversity, and transmission dynamics of multidrug-resistant or rifampicin-resistant Mycobacterium tuberculosis from 2019 to 2021 in Sichuan, China. Antimicrob Resist Infect Control 2024; 13:125. [PMID: 39396971 PMCID: PMC11472436 DOI: 10.1186/s13756-024-01482-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 10/07/2024] [Indexed: 10/15/2024] Open
Abstract
BACKGROUND Multidrug- or rifampicin-resistant tuberculosis (TB; MDR/RR-TB) is a significant public health threat. However, the mechanisms involved in its transmission in Sichuan, China are unclear. To provide a scientific basis for MDR/RR-TB control and prevention, we investigated the drug-resistance characteristics, genetic diversity, and transmission dynamics and analyzed the demographic and clinical characteristics of patients to identify risk factors for the acquisition of MDR/RR-TB in Sichuan, Western China. METHODS Whole-genome sequencing was performed using a sample comprised of all MDR/RR-TB strains isolated from patients with pulmonary TB (≥ 15 years) at the 22 surveillance sites in Sichuan province between January 2019 and December 2021, to analyze genotypic drug resistance and genetic diversity. Moreover, we performed statistical analyses of the epidemiological characteristics and risk factors associated with the transmission dynamics of MDR/RR-TB. RESULTS The final analysis included 278 MDR/RR TB strains. Lineage 2.2, the major sub-lineage, accounted for 82.01% (228/278) of isolates, followed by lineage 4.5 (9.72%, 27/278), lineage 4.4 (6.83%, 19/278), and lineage 4.2 (1.44%, 4/278). The drug resistance rates, ranging from high to low, were as follows: isoniazid (229 [82.37%]), streptomycin (177 [63.67%]), ethambutol (144 [51.80%]), pyrazinamide (PZA, 119 [42.81%]), fluoroquinolones (FQs, 93 [33.45%]). Further, the clofazimine, bedaquiline, and delamanid resistance rates were 2.88, 2.88, and 1.04%, respectively. The gene composition cluster rate was 32.37% (90/278). In addition, 83.81% (233/278) of MDR/RR-TB cases were determined to be likely caused by transmission. Finally, patients infected with lineage two strains and strains with the KatG S315T amino acid substitution presented a higher risk of MDR/RR-TB transmission. CONCLUSION Transmission plays a significant role in the MDR/RR-TB burden in Sichuan province, and lineage 2 strains and strains harboring KatG S315T have a high probability of transmission. Further, high levels of FQ and PZA drug resistance suggest an urgent need for drug susceptibility testing prior to designing therapeutic regimens. New anti-TB drugs need to be used standardly and TB strains should be regularly monitored for resistance to these drugs.
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Affiliation(s)
- Wenfeng Gao
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China
| | - Weina Wang
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China
| | - Jing Li
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China
| | - Yuan Gao
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China
| | - Shu Zhang
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China
| | - Hui Lei
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China
| | - Lu He
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China
| | - Ting Li
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China
| | - Jinge He
- Sichuan Center for Disease Control and Prevention, Institute for Tuberculosis Control and Prevention, Chengdu, 610041, Sichuan, China.
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Zhan J, Wang W, Luo D, Chen Q, Yu S, Yan L, Chen K. Transmission of multidrug-resistant tuberculosis in Jiangxi, China, and associated risk factors. Microbiol Spectr 2024:e0355523. [PMID: 39356166 DOI: 10.1128/spectrum.03555-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 08/14/2024] [Indexed: 10/03/2024] Open
Abstract
In order to effectively combat the urgent threat of multidrug-resistant tuberculosis (MDR-TB), it is imperative to gain a comprehensive understanding of the drug-resistant profiles, transmission dynamics, and associated risk factors. Our study encompassed a population-based retrospective analysis with 130 MDR-TB patients from 2018 to 2021. The research methodology incorporated whole-genome sequencing, drug susceptibility testing , and logistic regression analysis to discern the risk factors of genomic clustering linked to recent transmission. The findings from phenotypic drug resistance assessments revealed notable resistance rates: ethambutol at 62.3% (81/130), streptomycin at 72.3% (94/130), levofloxacin at 51.5% (67/130), and moxifloxacin at 50.0% (65/130). Furthermore, among all patients, 38 individuals (29.23%, 38/130) were found to be part of 17 clusters, indicating instances of recent MDR-TB transmission. The genomic clustering patients were deeply investigated. Lineage 2.2.1 was established as the primary sub-lineage (86.15%, 112/130), followed by lineage 4 (9.23%, 12/130). Moreover, the logistic regression analysis underscored that unemployment, farming occupations, and prior TB treatment were identified as significant risk factors for recent transmission. IMPORTANCE The high prevalence of multidrug-resistant tuberculosis (MDR-TB) in Jiangxi Province highlights the importance of understanding the genetic background and drug resistance patterns of these strains. This knowledge is crucial for developing effective control methods. Furthermore, in light of the significance of preventing transmission among tuberculosis patients, whole-genome sequencing was utilized to investigate the recent transmission of MDR-TB and identify associated risk factors. The findings revealed that individuals in the farming sector, those who are unemployed, and patients with a history of tuberculosis treatment are at elevated risk. Consequently, targeted public interventions for these at-risk groups are imperative.
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Affiliation(s)
- Jiahuan Zhan
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Wei Wang
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Dong Luo
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Qiang Chen
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Shengming Yu
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Liang Yan
- Department of Clinical Laboratory, Jiangxi Provincial Chest Hospital, Nanchang, China
| | - Kaisen Chen
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
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Che B, Zheng X, Chen B, Lu Y, Zhang Y, Xu B. The temporal trend of tuberculosis burden in an aging population in China: a secondary data analysis from the GBD 2019. BMC Pulm Med 2024; 24:476. [PMID: 39334014 PMCID: PMC11437723 DOI: 10.1186/s12890-024-03293-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 09/19/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND The rapid population aging in China has been a big challenge to achieve the goal of ending the global tuberculosis (TB) epidemic. This study aimed to describe the temporal trend of TB burden in China during 1990 ∼ 2019 and to evaluate the effect of age, period, and birth cohort on domestic TB burden, with a specific focus on the elderly. METHODS The trends of incidence, mortality, and disability-adjusted life years (DALYs) of TB among human immunodeficiency virus (HIV) negative people were described using the data from the Global Burden of Disease 2019 study. Join-point regression model was applied to calculate the average annual percentage change (AAPC) of TB burden for different age groups. Age-period-cohort (APC) model was fitted for incidence and mortality, and relative risks (RR) were computed for each age group. RESULTS In 2019, the highest TB deaths (5.23 thousand, 95% uncertainty interval [UI]: 4.38 ∼ 6.17) and DALYs (155.18 thousand, 95%UI: 126.47 ∼ 190.55) were observed in the HIV-negative population aged 70 ∼ 74 years in China. The proportion of those aged ≥ 60 years in newly diagnosed TB patients without HIV coinfection increased from 23.82% in 1990 to 37.54% in 2019, while TB deaths rose from 48.70 to 68.64%. During the past 30 years, the AAPC of age-standardized mortality (-7.77, confidence interval [CI]: -8.44∼ -7.10) and DALYs (-7.48, 95% CI: -7.98∼ -6.97) among HIV-negative individuals have shown a decrease, while much slower in the age groups above 70-year-old. The period effect and cohort effect contributed to the decline of TB incidence and mortality, but the age effect led to increasing TB mortality, especially among the ages of 85 ∼ 89 years (RR = 4.59, 95% CI: 4.25 ∼ 4.95). CONCLUSIONS The burden of TB remains considerable in the elderly population in China. More actions should be taken to improve case finding and the quality of TB healthcare for this high-risk population.
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Affiliation(s)
- Beibei Che
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China
- Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, People's Republic of China
| | - Xubin Zheng
- Clinic and Research Centre of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, People's Republic of China
| | - Bin Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, People's Republic of China
| | - Yinghong Lu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China
- Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, People's Republic of China
| | - Yuge Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China
- Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, People's Republic of China
| | - Biao Xu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China.
- Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, People's Republic of China.
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Mahmoudi S, Hamidi M, Drain PK. Present outlooks on the prevalence of minimal and subclinical tuberculosis and current diagnostic tests: A systematic review and meta-analysis. J Infect Public Health 2024; 17:102517. [PMID: 39126908 DOI: 10.1016/j.jiph.2024.102517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 07/18/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) is a major global health issue, particularly in its minimal and subclinical forms, which often go undetected and contribute to transmission. Accurate prevalence assessment of these forms and the effectiveness of diagnostic tests are crucial for improving TB control, especially in high-risk populations such as those with HIV. OBJECTIVES This study aimed to determine the prevalence of minimal and subclinical TB and evaluate the positivity rates of current diagnostic tests. METHODS We conducted a meta-analysis of studies published from January 2000 to December 2022. Prevalence rates and diagnostic test results, including sputum culture, smear microscopy, TST/IGRA, and chest X-ray, were analyzed, with pooled prevalence calculated and comparisons made between geographic regions. RESULTS Minimal TB prevalence ranged from 0.9 % to 22.9 % in the general population, while subclinical TB prevalence was 0.05 % to 0.64 %, and 1.57 % to 14.63 % among individuals with HIV. The overall pooled prevalence of minimal TB was 7 % (95 % CI: 5-9 %), with higher rates in Asia (8 %, 95 % CI: 5-12 %) compared to Africa (6 %, 95 % CI: 4-8 %). Subclinical TB had a pooled prevalence of 0.2 % (95 % CI: 0.2-0.3 %) overall and 52 % (95 % CI: 46-58 %) among TB cases, with higher rates in Asia (60 %) compared to Africa (44 %). Diagnostic test positivity was 77 % (sputum culture), 15 % (smear microscopy), 64 % (TST/IGRA), and 53 % (chest X-ray). CONCLUSIONS This study reveals significant variability in the prevalence of minimal and subclinical TB. The findings highlight the need for improved diagnostic methods to reduce undetected cases, especially in high-risk populations.
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Affiliation(s)
- Shima Mahmoudi
- Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland.
| | - Mehrsa Hamidi
- InPedia Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Paul K Drain
- International Clinical Research Center, Department of Global Health, Schools of Medicine and Public Health, University of Washington, Seattle, WA, United States; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States; Division of Allergy and Infectious Diseases, Department of Medicine, School of Medicine, University of Washington, Seattle, WA, United States
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Zhao Y, Xu Y, Yao D, Wu Q, Chen H, Hu X, Huang Y, Zhang X. Changes in Infectious Disease-Specific Health Literacy in the Post-COVID-19 Pandemic Period: Two-Round Cross-Sectional Survey Study. JMIR Public Health Surveill 2024; 10:e52666. [PMID: 39213137 PMCID: PMC11378864 DOI: 10.2196/52666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 06/22/2024] [Accepted: 06/24/2024] [Indexed: 09/04/2024] Open
Abstract
Background Infectious disease-specific health literacy (IDSHL) is a crucial factor in the development of infectious diseases. It plays a significant role not only in mitigating the resurgence of infectious diseases but also in effectively averting the emergence of novel infections such as COVID-19. During the 3 years of the COVID-19 pandemic, China primarily adopted nonpharmaceutical interventions, advocating for people to avoid crowded places and wear masks to prevent the spread of COVID-19. Consequently, there has been a dearth of research concerning IDSHL and its corresponding focal points for health education. Objective This study aimed to (1) evaluate the changes in IDSHL scores between 2019 (before the COVID-19 pandemic) and 2022 (the postepidemic period of COVID-19) and (2) explore the risk factors affecting IDSHL using a multivariate logistic regression analysis. Methods This study used 2-round cross-sectional surveys, conducted in 2019 and 2022, respectively, in 30 counties in Zhejiang Province, China. Multiple-stage stratified random sampling was used to select households, and a Kish grid was used to identify participants. An identical standardized questionnaire consisting of 12 closed-ended questions was used to measure IDSHL scores before and after the COVID-19 pandemic (2019 and 2022). Standard descriptive statistics, chi-square tests, t tests, and multivariate logistic regression analyses were used to analyze the data. Results The 2-round cross-sectional surveys conducted in 2019 and 2022 yielded, out of 19,366 and 19,221 total questionnaires, 19,257 (99.44% response rate) and 18,857 (98.11% response rate) valid questionnaires, respectively. The correct response rate for the respiratory infectious diseases question "When coughing or sneezing, which of the following is correct?" increased from 29.10% in 2019 to 37.92% in 2022 (χ²1=332.625; P<.001). The correct response rate for the nonrespiratory infectious diseases question "In which of the following ways can hepatitis B be transmitted to others?" decreased from 64.28% to 59.67% (χ²1=86.059; P<.001). In terms of IDSHL scores, a comparison between 2022 and 2019 revealed notable statistical differences in the overall scores (t1=10.829; P<.001) and across the 3 dimensions of knowledge (t1=8.840; P<.001), behavior (t1=16.170; P<.001), and skills (t1=9.115; P<.001). With regard to the questions, all but 4 exhibited statistical differences (P<.001). Multivariate logistic regression analyses indicated that the 2022 year group had a higher likelihood of possessing acquired IDSHL than the 2019 group (odds ratio 1.323, 95% CI 1.264-1.385; P<.001). Conclusions When conducting health education, it is imperative to enhance efforts in nonrespiratory infectious disease health education, as well as respiratory infectious diseases such as COVID-19. Health education interventions should prioritize ethnic minority populations with a poor self-health status and low education.
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Affiliation(s)
- Yusui Zhao
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yue Xu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Dingming Yao
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Qingqing Wu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Heni Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xiujing Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yu Huang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuehai Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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Hu Y, Li T, Liu W, Zhu D, Feng X, Chen Y, Zheng H. Prevalence and antimicrobial susceptibility pattern of Mycobacterium abscessus complex isolates in Chongqing, Southwest China. Heliyon 2024; 10:e34546. [PMID: 39113955 PMCID: PMC11305262 DOI: 10.1016/j.heliyon.2024.e34546] [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: 04/17/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 08/10/2024] Open
Abstract
Objectives To investigate the prevalence of Mycobacterium abscessus complex (MABC), drug resistance characteristics, and the relationship between clarithromycin (CLA) susceptibility and MABC genotype in Chongqing, China. Methods A total of 434 NTM patient isolates were collected between October 2018 and October 2019. Isolates confirmed to be non-tuberculous mycobacteria (NTM) were tested for minimal inhibitory concentrations of antimicrobial agents. In addition, rrl and erm(41) gene sequences were used to analyze the acquired macrolide resistance and inducible macrolide resistance. Results Overall, 17 different NTM species were detected, of which M. abscessus (22.6 %, 91/403) was most prevalent. Amikacin, CLA, azithromycin and cefoxitin exhibited potent activities against MABC organisms, but no significant differences were observed in drug resistance rates between M. abscessus and M. massiliense (P > 0.05). On day 3 of culture, the acquired resistance rate against CLA was 7.4 % (9/121). Of 41 MABC isolates with inducible CLA resistant, 95.1 % (39/41) isolates belonged to the erm(41) T28 sequevar, while the remaining 4.9 % (2/41) possessed the M. massiliense genotype. All erm(41) C28 sequevar isolates were sensitive to CLA on day3 and day 14 of culture. Meanwhile, of the 5 erm(41) T28 isolates with acquired resistance, all possessed rrl 2058/2059 mutations, including 3 isolates with A2058C mutation and 2 isolates with A2059G mutation. While 2 of the 4 M. massiliense isolates with acquired resistance possessed the A2059G mutation, and one isolate possessed the A2058G mutation. Conclusion Erm(41) and rrl gene could serve as useful markers for predicting macrolide susceptibility of MABC complex isolates.
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Affiliation(s)
- Yan Hu
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, 400050, China
| | - Tongxin Li
- Department of Clinical Laboratory, Chongqing Public Health Medical Center, Chongqing, 400036, China
| | - Wenguo Liu
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, 400050, China
| | - Damian Zhu
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, 400050, China
| | - Xin Feng
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, 400050, China
| | - Yaokai Chen
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqjing, 400036, China
| | - Huiwen Zheng
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Center for Children’s Health, 100045, China
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9
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Liu Z, Li X, Xiong H, Zhou Q, Yi H, Wu K, Zhou Z, Lu Y, Zhu Y, Zhou L, Zhang M, Gao J, Gao J, Chen S, Wang X, Wang W. Genomic and spatial analysis reveal the transmission dynamics of tuberculosis in areas with high incidence of Zhejiang, China: A prospective cohort study. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 121:105603. [PMID: 38723983 DOI: 10.1016/j.meegid.2024.105603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/28/2024] [Accepted: 05/05/2024] [Indexed: 05/14/2024]
Abstract
In the mountainous, rural regions of eastern China, tuberculosis (TB) remains a formidable challenge; however, the long-term molecular epidemiological surveillance in these regions is limited. This study aimed to investigate molecular and spatial epidemiology of TB in two mountainous, rural counties of Zhejiang Province, China, from 2015 to 2021, to elucidate the recent transmission and drug-resistance profiles. The predominant Lineage 2 (L2) Beijing family accounted for 80.1% of total 532 sequenced Mycobacterium tuberculosis (Mtb) strains, showing consistent prevalence over seven years. Gene mutations associated with drug resistance were identified in 19.4% (103/532) of strains, including 47 rifampicin or isoniazid-resistant strains, eight multi-drug-resistant (MDR) strains, and five pre-extensively drug-resistant (pre-XDR) strains. Genomic clustering revealed 53 distinct clusters with an overall transmission clustering rate of 23.9% (127/532). Patients with a history of retreatment and those infected with L2 strains had a higher risk of recent transmission. Spatial and epidemiological analysis unveiled significant transmission hotspots, especially in densely populated urban areas, involving various public places such as medical institutions, farmlands, markets, and cardrooms. The study emphasizes the pivotal role of Beijing strains and urban-based TB transmission in the western mountainous regions in Zhejiang, highlighting the urgent requirement for specific interventions to mitigate the impact of TB in these unique communities.
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Affiliation(s)
- Zhengwei Liu
- The Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Xiangchen Li
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, Zhejiang 310020, China
| | - Haiyan Xiong
- School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Qingrong Zhou
- Center for Disease Control and Prevention of Jiangshan City, Zhejiang 324100, China
| | - Huaiming Yi
- Center for Disease Control and Prevention of Changshan County, Zhejiang 324200, China
| | - Kunyang Wu
- The Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Zonglei Zhou
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Yewei Lu
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, Zhejiang 310020, China
| | - Yelei Zhu
- The Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Lin Zhou
- The Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Mingwu Zhang
- The Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
| | - Junshun Gao
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, Zhejiang 310020, China
| | - Junli Gao
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, Zhejiang 310020, China
| | - Songhua Chen
- The Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China.
| | - Xiaomeng Wang
- The Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China.
| | - Weibing Wang
- School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China.
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Fu X, Wan X, Memon AA, Fan XY, Sun Q, Chen H, Yao Y, Deng Z, Ma J, Ma W. Regulatory role of Mycobacterium tuberculosis MtrA on dormancy/resuscitation revealed by a novel target gene-mining strategy. Front Microbiol 2024; 15:1415554. [PMID: 38952446 PMCID: PMC11215152 DOI: 10.3389/fmicb.2024.1415554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 05/28/2024] [Indexed: 07/03/2024] Open
Abstract
Introduction The unique dormancy of Mycobacterium tuberculosis plays a significant role in the major clinical treatment challenge of tuberculosis, such as its long treatment cycle, antibiotic resistance, immune escape, and high latent infection rate. Methods To determine the function of MtrA, the only essential response regulator, one strategy was developed to establish its regulatory network according to high-quality genome-wide binding sites. Results and discussion The complex modulation mechanisms were implied by the strong bias distribution of MtrA binding sites in the noncoding regions, and 32.7% of the binding sites were located inside the target genes. The functions of 288 potential MtrA target genes predicted according to 294 confirmed binding sites were highly diverse, and DNA replication and damage repair, lipid metabolism, cell wall component biosynthesis, cell wall assembly, and cell division were the predominant pathways. Among the 53 pathways shared between dormancy/resuscitation and persistence, which accounted for 81.5% and 93.0% of the total number of pathways, respectively, MtrA regulatory genes were identified not only in 73.6% of their mutual pathways, but also in 75.4% of the pathways related to dormancy/resuscitation and persistence respectively. These results suggested the pivotal roles of MtrA in regulating dormancy/resuscitation and the apparent relationship between dormancy/resuscitation and persistence. Furthermore, the finding that 32.6% of the MtrA regulons were essential in vivo and/or in vitro for M. tuberculosis provided new insight into its indispensability. The findings mentioned above indicated that MtrA is a novel promising therapeutic target for tuberculosis treatment since the crucial function of MtrA may be a point of weakness for M. tuberculosis.
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Affiliation(s)
- Xiang Fu
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyu Wan
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Shanghai, China
| | - Aadil Ahmed Memon
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao-Yong Fan
- Shanghai Public Health Clinical Center, Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China
| | - Qiuhong Sun
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Shanghai, China
| | - Haifeng Chen
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Yufeng Yao
- Department of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zixin Deng
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Jian Ma
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Shanghai, China
| | - Wei Ma
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
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Wang Z, Guo T, Xu L, Liu J, Hou Y, Jin J, Zhang Q, Jiang T, Zhao Z, Xue Y. Regional differences of Mycobacterium tuberculosis complex infection and multidrug resistance epidemic in Luoyang. BMC Infect Dis 2024; 24:578. [PMID: 38862881 PMCID: PMC11167740 DOI: 10.1186/s12879-024-09395-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 05/09/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) remains a global public health event of great concern, however epidemic data on TB covering entire areas during the special period of the COVID-19 epidemic have rarely been reported. We compared the dissemination and multidrug-resistance patterns of Mycobacterium tuberculosis complex (MTBC) in the main urban area of Luoyang City, China (including six municipal jurisdictions) and nine county and township areas under its jurisdiction, aimed to establish the epidemiology of TB in this region and to provide reference for precision anti-TB in places with similar settings. METHODS From 2020 to 2022, sputum samples were collected from 18,504 patients with confirmed, suspected and unexcluded TB in 10 designated TB medical institutions. Insertion sequence 6110 was amplified by PCR (rpoB gene detection if necessary) to confirm the presence of MTBC. PCR-positive specimens were analyzed by multicolor melting curve analysis to detect multidrug resistance. RESULTS Among the 18,504 specimens, 2675 (14.5%) were MTBC positive. The positive rate was higher in the main urban area than in the county and township areas (29.8% vs. 10.9%, p < 0.001). Male, re-treated and smear-positive groups were high-burden carriers of MTBC. Individuals aged > 60 years were the largest group infected with MTBC in the main urban area, compared with individuals aged < 61 years in the county and township areas. The detection of multidrug-resistant TB (MDR-TB) was higher in the main urban area than in the county and township areas (13.9% vs. 7.8%, p < 0.001). In all areas, MDR-TB groups were dominated by males, patients with a history of TB treatment, and patients aged < 61 years. Stratified analysis of MDR-TB epidemiology showed that MDR4 (INH þ RIF þ EMB þ SM) was predominant in the main urban area, while MDR3 (INH þ RIF þ SM) was predominant in the county and township areas. MDR-TB detection rate and epidemiology differed among the county and township areas. CONCLUSIONS For local TB control, it is necessary to plan more appropriate and accurate prevention and control strategies according to the regional distribution of MTBC infection.
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Affiliation(s)
- Zhenzhen Wang
- The First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, Luoyang, China
- School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China
| | - Tengfei Guo
- The First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, Luoyang, China
| | - Liyang Xu
- Luoyang Center for Disease Control and Prevention, Luoyang, China
- School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China
| | - Jinwei Liu
- The First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, Luoyang, China
| | - Yi Hou
- Luoyang Center for Disease Control and Prevention, Luoyang, China
| | - Junrong Jin
- The First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, Luoyang, China
| | - Qing Zhang
- The First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, Luoyang, China
| | - Tao Jiang
- The First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, Luoyang, China
| | - Zhanqin Zhao
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
| | - Yun Xue
- School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
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Ma Z, Zhang L, Li S, Shang Y, Wang Y, Xue Z, Shu W, Sun Y, Gao X, Liu Y, Gao J, Gnanashanmugam D, Tang YW, Li L, Pang Y. Pooled sputum testing by Xpert ® MTB/RIF Ultra for active tuberculosis case finding among high-risk groups in a low-incidence area: a prospective study. Infect Dis (Lond) 2024; 56:434-440. [PMID: 38380873 DOI: 10.1080/23744235.2024.2320324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/13/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND Early detection and treatment of tuberculosis (TB) are of great importance to stop its spread. However, optimising the active case findingstrategy is critical to improving its feasibility in regions where TB is epidemic. METHOD The different pooled ratios between TB-positive and TB-negative sputum specimens were evaluated and a pooling ratio of 5:1 was used for the active case finding screening by Xpert MTB/RIF Ultra among high-risk groups in Beijing. RESULTS The sensitivity of pooling ratio at 5:1 was 97.5% (39/40). Between October 2022 and March 2023, among 17,681 participants, 1729 metthe active case finding criteria and were screened by 350 5:1 sputum pools by Xpert MTB/RIF Ultra. Four pools (1.1%) tested positive and were further confirmed as definite active TB cases. In our study population with high TB incidence (231/100,000), the cost for detection of individual patients was reduced by 77.4% at a 5:1 pooling ratio. CONCLUSIONS pooled sputum testing at a suitable ratio using Xpert MTB/RIF Ultra provides a rapid, efficient, and cost-effective method for active TB case finding among high-risk groups in a low-incidence area.
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Affiliation(s)
- Zichun Ma
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
| | - Lijie Zhang
- Clinical Center on TB Control, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
| | - Yufeng Wang
- Innovation Alliance on Tuberculosis Diagnosis and Treatment, Beijing, P. R. China
| | - Zhongtan Xue
- Innovation Alliance on Tuberculosis Diagnosis and Treatment, Beijing, P. R. China
| | - Wei Shu
- Clinical Center on TB Control, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
| | - Yuxian Sun
- Innovation Alliance on Tuberculosis Diagnosis and Treatment, Beijing, P. R. China
| | - Xinghui Gao
- Cepheid, Danaher Diagnostic Platform, Shanghai, P. R. China
| | - Yuhong Liu
- Clinical Center on TB Control, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
| | - Jingtao Gao
- Clinical Center on TB Control, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
| | | | - Yi-Wei Tang
- Cepheid, Danaher Diagnostic Platform, Shanghai, P. R. China
| | - Liang Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, P. R. China
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13
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Li M, Zhang X, Cheng H, Zhang B, Wei T, Cheng X, Jiang S, Liu X. Whole-course quality of tuberculosis (TB) care in rural China: a retrospective study based on chart abstraction. BMJ Open 2024; 14:e080844. [PMID: 38821576 PMCID: PMC11149154 DOI: 10.1136/bmjopen-2023-080844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 05/21/2024] [Indexed: 06/02/2024] Open
Abstract
OBJECTIVES The aim of this study was to assess the quality of tuberculosis (TB) care for the whole course and assess factors that affect completing treatment. DESIGN This is an observational retrospective study using chart abstraction for the whole course of TB care conducted at two underserved provinces in China. SETTING The study was conducted from June 2021 to July 2021. All medical records (outpatient and inpatient) for the whole course (6-8 months) of patients with TB newly registered from July 2020 to December 2020 were reviewed and abstracted using predetermined checklists. PARTICIPANTS A total of 268 outpatient medical records and 126 inpatient records were included. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome included diagnostic quality, treatment quality and management quality. The secondary outcome was completing treatment. RESULTS For diagnostic quality, 94.2% of the diagnosis were based on adequate evidence. For treatment quality, 240 (91.6%) outpatients and 100 (85.5%) inpatients took the standard chemotherapy regimens. 234 (87.3%) patients completed treatment. 85.1% of the inpatients prescribed with second-line drugs were inappropriate. For management quality, 128 (47.9%) patients received midterm assessments, but only 47 (19.7%) received sufficient services for the whole course. Patients with TB symptoms were 1.8 times more likely to complete treatment (p=0.011). CONCLUSION Patients with TB received high-quality diagnosis and treatment services, but low-quality whole-course management. Integration of medical and public health services should be strengthened to improve whole-course quality.
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Affiliation(s)
- Mingyue Li
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
- Department of Medicine, School of Medicine, Stanford University, Palo Alto, California, USA
| | - Xiaotian Zhang
- China Center for Health Development Studies, Peking University, Beijing, China
- School of Health Policy & Management, Nanjing Medical University, Nanjing, China
| | - Haozhe Cheng
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Baisong Zhang
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Tiantian Wei
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Xiaoran Cheng
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Shiwen Jiang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoyun Liu
- China Center for Health Development Studies, Peking University, Beijing, China
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Xianyu F, Huang Y, Guo S, Chongsuvivatwong V. Evaluating Treatment Outcomes and Tuberculosis Infection Risks: A Comparative Study of Centralized Hospitalization vs. Home-Based Treatment. Trop Med Infect Dis 2024; 9:119. [PMID: 38787052 PMCID: PMC11125710 DOI: 10.3390/tropicalmed9050119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/04/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024] Open
Abstract
Background: Guizhou Province in Southwest China has experimented with a centralized hospitalization (CH) treatment for active and severe cases of pulmonary tuberculosis (PTB). The objective of this study was to compare treatment outcomes of patients with tuberculosis (TB) receiving care in a CH setting with those receiving home-based (HB) care. In addition, this study aimed to assess the probability of their household contacts contracting tuberculosis infection. Method: A retrospective review of medical records was undertaken for patients with TB who completed their treatment in four counties in Guizhou, China, spanning from January 2022 to August 2023. In addition, a cross-sectional survey was conducted on the tuberculin skin test (TST) among household contacts of new patients with TB who had completed their treatment. Results: In the retrospective study, 94.8% had successful CH treatment, and 93.1% had successful HB treatment (p value = 0.70). In the prospective study, 559 and 448 household contacts of patients receiving CH treatment had 16 positive and 89 negative TST results, whereas those with HB treatment showed 26 positive and 74 negative TST results. Regarding a logistic regression analysis, the CH group was nearly two times more likely to test negative on the TST, 1.95 (95% CI: 0.98, 3.92). After adjusting for confounding variables, the odds ratio increased significantly to 4.42 (95% CI: 1.22, 16.04). Conclusions: CH for treatment of TB did not show superior success rates, but it may reduce the risk of transmitting tuberculosis infection to household contacts compared to home treatment.
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Affiliation(s)
- Fangming Xianyu
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Thailand
| | - Yuemei Huang
- Guizhou Medical University, Guiyang 550031, China
| | - Shengqiong Guo
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China
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15
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Haldane V, Zhang Z, Yin T, Zhang B, Li Y, Pan Q, Dainty KN, Rea E, Pasang P, Hu J, Wei X. Exploring opportunities to strengthen rural tuberculosis health service delivery: a qualitative study with health workers in Tibet autonomous region, China. BMJ Open 2024; 14:e079062. [PMID: 38740500 PMCID: PMC11097854 DOI: 10.1136/bmjopen-2023-079062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 04/10/2024] [Indexed: 05/16/2024] Open
Abstract
OBJECTIVES This qualitative study aimed to explore opportunities to strengthen tuberculosis (TB) health service delivery from the perspectives of health workers providing TB care in Shigatse prefecture of Tibet Autonomous Region, China. DESIGN Qualitative research, semi-structured in-depth interviews. SETTING The TB care ecosystem in Shigatse, including primary and community care. PARTICIPANTS Participants: 37 semi-structured interviews were conducted with village doctors (14), township doctors and nurses (14), county hospital doctors (7) and Shigatse Centre for Disease Control staff (2). RESULTS The three main themes reported include (1) the importance of training primary and community health workers to identify people with symptoms of TB, ensure TB is diagnosed and link people with TB to further care; (2) the need to engage community health workers to ensure retention in care and adherence to TB medications; and (3) the opportunity for innovative technologies to support coordinated care, retention in care and adherence to medication in Shigatse. CONCLUSIONS The quality of TB care could be improved across the care cascade in Tibet and other high-burden, remote settings by strengthening primary care through ongoing training, greater support and inclusion of community health workers and by leveraging technology to create a circle of care. Future formative and implementation research should include the perspectives of health workers at all levels to improve care organisation and delivery.
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Affiliation(s)
- Victoria Haldane
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Zhitong Zhang
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Tingting Yin
- Liangcheng No 3 Municipal Hospital, Liaocheng, Shandong, China
| | - Bei Zhang
- Weifang Medical College, Weifang, Shandong, China
| | - Yinlong Li
- Jining Medical University, Jining, Shandong, China
| | - Qiuyu Pan
- North Sichuan Medical College, Nanchong, Sichuan, China
| | - Katie N Dainty
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth Rea
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Toronto Public Health, Toronto, Ontario, Canada
| | - Pande Pasang
- Shigatse Centre for Disease Control and Prevention, Shigatse, Samzhubze, China
| | - Jun Hu
- Shigatse Centre for Disease Control and Prevention, Shigatse, Samzhubze, China
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Xiaolin Wei
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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16
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Teo AKJ, MacLean ELH, Fox GJ. Subclinical tuberculosis: a meta-analysis of prevalence and scoping review of definitions, prevalence and clinical characteristics. Eur Respir Rev 2024; 33:230208. [PMID: 38719737 PMCID: PMC11078153 DOI: 10.1183/16000617.0208-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/12/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND This scoping review aimed to characterise definitions used to describe subclinical tuberculosis (TB), estimate the prevalence in different populations and describe the clinical characteristics and treatment outcomes in the scientific literature. METHODS A systematic literature search was conducted using PubMed. We included studies published in English between January 1990 and August 2022 that defined "subclinical" or "asymptomatic" pulmonary TB disease, regardless of age, HIV status and comorbidities. We estimated the weighted pooled proportions of subclinical TB using a random-effects model by World Health Organization reported TB incidence, populations and settings. We also pooled the proportion of subclinical TB according to definitions described in published prevalence surveys. RESULTS We identified 29 prevalence surveys and 71 other studies. Prevalence survey data (2002-2022) using "absence of cough of any duration" criteria reported higher subclinical TB prevalence than those using the stricter "completely asymptomatic" threshold. Prevalence estimates overlap in studies using other symptoms and cough duration. Subclinical TB in studies was commonly defined as asymptomatic TB disease. Higher prevalence was reported in high TB burden areas, community settings and immunocompetent populations. People with subclinical TB showed less extensive radiographic abnormalities, higher treatment success rates and lower mortality, although studies were few. CONCLUSION A substantial proportion of TB is subclinical. However, prevalence estimates were highly heterogeneous between settings. Most published studies incompletely characterised the phenotype of people with subclinical TB. Standardised definitions and diagnostic criteria are needed to characterise this phenotype. Further research is required to enhance case finding, screening, diagnostics and treatment options for subclinical TB.
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Affiliation(s)
- Alvin Kuo Jing Teo
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Both authors contributed equally
| | - Emily Lai-Ho MacLean
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Both authors contributed equally
| | - Greg J Fox
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
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17
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Han Q, Li Y, Liu Y, Zhu X, An Q, Li Y, Wang T, Zhang Y, Li Y, Fang W, Tao N, Li H. Trends in the Notification Rates and Treatment Outcome of Tuberculosis in Shandong Province, China, 2005-2021. Infect Drug Resist 2024; 17:1477-1490. [PMID: 38634066 PMCID: PMC11021862 DOI: 10.2147/idr.s454076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 04/07/2024] [Indexed: 04/19/2024] Open
Abstract
Purpose To analyze the time trends in the notification rates of registered tuberculosis (TB) and bacteriologically confirmed TB in Shandong Province. And analyze the changes in TB treatment outcomes during 2005-2021. Patients and Methods The information of TB patients registered in the Shandong Information Center for Disease Control and Prevention (CDC) was collected during 2005-2021. We calculated the notification rates of registered TB and bacteriologically confirmed TB. Moreover, we calculated the year-to-year change rate of TB in treatment outcomes before and after COVID-19. The time trends were analyzed using the joinpoint regression method and illustrated as the annual percentage change (APC) of notification rates. Results A total of 236,898 cases of TB were diagnosed during 2005-2021, of which 51.11% were bacteriologically confirmed cases. Since 2008, the notification rates of registered TB have declined. The notification rates of bacteriologically confirmed TB had been declining during 2005-2016, then remained stable after 2016. In subgroup, the notification rates of both registered TB and bacteriologically confirmed TB were higher among men, rural residents, and people aged ≥ 60 years. Compared with clinically confirmed TB, bacteriologically confirmed TB has shown higher rates of poor outcomes since 2008 and higher case fatality rate since 2005. The rate of poor outcomes remained stable during 2008-2019. However, after the COVID-19 outbreak, the rate of poor outcomes and case fatality rate of TB has risen significantly. Conclusion After unremitting efforts to fight against TB, the notification rates of registered TB and bacteriologically confirmed TB declined in Shandong Province. The rate of poor outcomes remained stable during 2008-2019, then rise significantly after the COVID-19 outbreak. In the context of the long-term existence of COVID-19, further efforts should be made in TB diagnosis and treatment among high-risk population, especially with regard to males, rural residents and older adults.
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Affiliation(s)
- Qilin Han
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People’s Republic of China
| | - Yifan Li
- Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Shandong First Medical University (Affiliated Hospital of Shandong Academy of Medical Sciences), Jinan, Shandong, 250031, People’s Republic of China
| | - Yao Liu
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China
| | - Xuehan Zhu
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China
| | - Qiqi An
- Department of Pulmonary and Critical Care Medicine, Xingyi People’s Hospital, Qianxinan, Guizhou, 561499, People’s Republic of China
| | - Yameng Li
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, People’s Republic of China
| | - Tingting Wang
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, People’s Republic of China
| | - Yuzhen Zhang
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People’s Republic of China
| | - Yingying Li
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, People’s Republic of China
| | - Weiwei Fang
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People’s Republic of China
| | - Ningning Tao
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China
| | - Huaichen Li
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People’s Republic of China
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18
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Jing S, Xue L, Wang H, Peng Z. Global analysis of an age-structured tuberculosis model with an application to Jiangsu, China. J Math Biol 2024; 88:52. [PMID: 38563991 DOI: 10.1007/s00285-024-02066-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 08/31/2023] [Accepted: 02/18/2024] [Indexed: 04/04/2024]
Abstract
Diagnostic delay for TB infected individuals and the lack of TB vaccines for adults are the main challenges to achieve the goals of WHO by 2050. In order to evaluate the impacts of diagnostic delay and vaccination for adults on prevalence of TB, we propose an age-structured model with latent age and infection age, and we incorporate Mycobacterium TB in the environment and vaccination into the model. Diagnostic delay is indicated by the age of infection before receiving treatment. The threshold dynamics are established in terms of the basic reproduction number R 0 . WhenR 0 < 1 , the disease-free equilibrium is globally asymptotically stable, which means that TB epidemic will die out; WhenR 0 = 1 , the disease-free equilibrium is globally attractive; there exists a unique endemic equilibrium and the endemic equilibrium is globally attractive whenR 0 > 1 . We estimate that the basic reproduction numberR 0 = 0.5320 (95% CI (0.3060, 0.7556)) in Jiangsu Province, which means that TB epidemic will die out. However, we find that the annual number of new TB cases by 2050 is 1,151 (95%CI: (138, 8,014)), which means that it is challenging to achieve the goal of WHO by 2050. To this end, we evaluate the possibility of achieving the goals of WHO if we start vaccinating adults and reduce diagnostic delay in 2025. Our results demonstrate that when the diagnostic delay is reduced from longer than four months to four months, or 20% adults are vaccinated, the goal of WHO in 2050 can be achieved, and 73,137 (95%CI: (23,906, 234,086)) and 54,828 (95%CI: (15,811, 206,468)) individuals will be prevented from being infected from 2025 to 2050, respectively. The modeling approaches and simulation results used in this work can help policymakers design control measures to reduce the prevalence of TB.
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Affiliation(s)
- Shuanglin Jing
- College of Mathematical Sciences, Harbin Engineering University, Harbin, 150001, Heilongjiang, China
| | - Ling Xue
- College of Mathematical Sciences, Harbin Engineering University, Harbin, 150001, Heilongjiang, China.
| | - Hao Wang
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
| | - Zhihang Peng
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 210029, Jiangsu, China
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Chen L, Xing Y, Zhang Y, Xie J, Su B, Jiang J, Geng M, Ren X, Guo T, Yuan W, Ma Q, Chen M, Cui M, Liu J, Song Y, Wang L, Dong Y, Ma J. Long-term variations of urban-Rural disparities in infectious disease burden of over 8.44 million children, adolescents, and youth in China from 2013 to 2021: An observational study. PLoS Med 2024; 21:e1004374. [PMID: 38607981 PMCID: PMC11014433 DOI: 10.1371/journal.pmed.1004374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 03/08/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND An accelerated epidemiological transition, spurred by economic development and urbanization, has led to a rapid transformation of the disease spectrum. However, this transition has resulted in a divergent change in the burden of infectious diseases between urban and rural areas. The objective of our study was to evaluate the long-term urban-rural disparities in infectious diseases among children, adolescents, and youths in China, while also examining the specific diseases driving these disparities. METHODS AND FINDINGS This observational study examined data on 43 notifiable infectious diseases from 8,442,956 cases from individuals aged 4 to 24 years, with 4,487,043 cases in urban areas and 3,955,913 in rural areas. The data from 2013 to 2021 were obtained from China's Notifiable Infectious Disease Surveillance System. The 43 infectious diseases were categorized into 7 categories: vaccine-preventable, bacterial, gastrointestinal and enterovirus, sexually transmitted and bloodborne, vectorborne, zoonotic, and quarantinable diseases. The calculation of infectious disease incidence was stratified by urban and rural areas. We used the index of incidence rate ratio (IRR), calculated by dividing the urban incidence rate by the rural incidence rate for each disease category, to assess the urban-rural disparity. During the nine-year study period, most notifiable infectious diseases in both urban and rural areas exhibited either a decreased or stable pattern. However, a significant and progressively widening urban-rural disparity in notifiable infectious diseases was observed. Children, adolescents, and youths in urban areas experienced a higher average yearly incidence compared to their rural counterparts, with rates of 439 per 100,000 compared to 211 per 100,000, respectively (IRR: 2.078, 95% CI [2.075, 2.081]; p < 0.001). From 2013 to 2021, this disparity was primarily driven by higher incidences of pertussis (IRR: 1.782, 95% CI [1.705, 1.862]; p < 0.001) and seasonal influenza (IRR: 3.213, 95% CI [3.205, 3.220]; p < 0.001) among vaccine-preventable diseases, tuberculosis (IRR: 1.011, 95% CI [1.006, 1.015]; p < 0.001), and scarlet fever (IRR: 2.942, 95% CI [2.918, 2.966]; p < 0.001) among bacterial diseases, infectious diarrhea (IRR: 1.932, 95% CI [1.924, 1.939]; p < 0.001), and hand, foot, and mouth disease (IRR: 2.501, 95% CI [2.491, 2.510]; p < 0.001) among gastrointestinal and enterovirus diseases, dengue (IRR: 11.952, 95% CI [11.313, 12.628]; p < 0.001) among vectorborne diseases, and 4 sexually transmitted and bloodborne diseases (syphilis: IRR 1.743, 95% CI [1.731, 1.755], p < 0.001; gonorrhea: IRR 2.658, 95% CI [2.635, 2.682], p < 0.001; HIV/AIDS: IRR 2.269, 95% CI [2.239, 2.299], p < 0.001; hepatitis C: IRR 1.540, 95% CI [1.506, 1.575], p < 0.001), but was partially offset by lower incidences of most zoonotic and quarantinable diseases in urban areas (for example, brucellosis among zoonotic: IRR 0.516, 95% CI [0.498, 0.534], p < 0.001; hemorrhagic fever among quarantinable: IRR 0.930, 95% CI [0.881, 0.981], p = 0.008). Additionally, the overall urban-rural disparity was particularly pronounced in the middle (IRR: 1.704, 95% CI [1.699, 1.708]; p < 0.001) and northeastern regions (IRR: 1.713, 95% CI [1.700, 1.726]; p < 0.001) of China. A primary limitation of our study is that the incidence was calculated based on annual average population data without accounting for population mobility. CONCLUSIONS A significant urban-rural disparity in notifiable infectious diseases among children, adolescents, and youths was evident from our study. The burden in urban areas exceeded that in rural areas by more than 2-fold, and this gap appears to be widening, particularly influenced by tuberculosis, scarlet fever, infectious diarrhea, and typhus. These findings underscore the urgent need for interventions to mitigate infectious diseases and address the growing urban-rural disparity.
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Affiliation(s)
- Li Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Yi Xing
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Yi Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Junqing Xie
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, United Kingdom
| | - Binbin Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/ Peking Union Medical College, Beijing, China
| | - Jianuo Jiang
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Mengjie Geng
- Division of Infectious Disease Control and Prevention, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiang Ren
- Division of Infectious Disease Control and Prevention, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tongjun Guo
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Wen Yuan
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Qi Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Manman Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Mengjie Cui
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Jieyu Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Liping Wang
- Division of Infectious Disease Control and Prevention, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China
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Feng Q, Zhang G, Chen L, Wu H, Yang Y, Gao Q, Asakawa T, Zhao Y, Lu S, Zhou L, Lu H. Roadmap for ending TB in China by 2035: The challenges and strategies. Biosci Trends 2024; 18:11-20. [PMID: 38325824 DOI: 10.5582/bst.2023.01325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Tuberculosis (TB) is one of the top ten causes of death worldwide, taking the lives of over a million people annually. In addition to being a serious health issue, TB is also closely linked to eradicating poverty according to the Sustainable Development Goals (SDGs) of the United Nations (UN). All UN members have committed to ending the TB epidemic by 2030. China has one of the highest TB loads worldwide, ranking third in the world on many TB burden indices. The national strategy for TB control is aimed at creating a collaborative network and integrating TB treatment into the medical system. According to the WHO's global TB report, China is expected to have 748,000 new cases of TB in 2022 and an incidence of 52 cases per 100,000 people. Ending TB remains a huge challenge and requires comprehensive control strategies in China. In this work, we have discussed the challenges of TB prevention and control in China and proposed specific measures to end TB.
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Affiliation(s)
- Qishun Feng
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Guoliang Zhang
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Liang Chen
- Guangdong Provincial Research Center for Public Health, Guangdong Provincial Center for Diseases Control and Prevention, Guangzhou, Guangdong, China
| | - Huizhong Wu
- Guangdong Provincial Center for Tuberculosis Control, Guangzhou, Guangdong, China
| | - Yingzhou Yang
- Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China
| | - Qian Gao
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
- School of Basic Medical Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tetsuya Asakawa
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yanlin Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuihua Lu
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Lin Zhou
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
- Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China
| | - Hongzhou Lu
- National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Tuberculosis, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
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21
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Wei X, Hicks JP, Zhang Z, Haldane V, Pasang P, Li L, Yin T, Zhang B, Li Y, Pan Q, Liu X, Walley J, Hu J. Effectiveness of a comprehensive package based on electronic medication monitors at improving treatment outcomes among tuberculosis patients in Tibet: a multicentre randomised controlled trial. Lancet 2024; 403:913-923. [PMID: 38309280 DOI: 10.1016/s0140-6736(23)02270-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 10/04/2023] [Accepted: 10/09/2023] [Indexed: 02/05/2024]
Abstract
BACKGROUND WHO recommends that electronic medication monitors, a form of digital adherence technology, be used as a complement to directly observed treatment (DOT) for tuberculosis, as DOT is inconvenient and costly. However, existing evidence about the effectiveness of these monitors is inconclusive. Therefore, we evaluated the effectiveness of a comprehensive package based on electronic medication monitors among patients with tuberculosis in Tibet Autonomous Region (hereafter Tibet), China. METHODS This multicentre, randomised controlled trial recruited patients from six counties in Shigatse, Tibet. Eligible participants had drug-susceptible tuberculosis and were aged 15 years or older when starting standard tuberculosis treatment. Tuberculosis doctors recruited patients from the public tuberculosis dispensary in each county and the study statistician randomly assigned them to the intervention or control group based on the predetermined randomised allocation sequence. Intervention patients received an electronic medication monitor box. The box included audio medication-adherence reminders and recorded box-opening data, which were transmitted to a cloud-based server and were accessible to health-care providers to allow remote adherence monitoring. A linked smartphone app enabled text, audio, and video communication between patients and health-care providers. Patients were also provided with a free data plan. Patients selected a treatment supporter (often a family member) who was trained to support patients with using the electronic medication monitor and app. Patients in the control group received usual care plus a deactivated electronic medication monitor, which only recorded and transmitted box-opening data that was not made available to health-care providers. The control group also had no access to the app or trained treatment supporters. The primary outcome was a binary indicator of poor monthly adherence, defined as missing 20% or more of planned doses in the treatment month, measured using electronic medication monitor opening data, and verified by counting used medication blister packages during consultations. We recorded other secondary treatment outcomes based on national tuberculosis reporting data. We analysed the primary outcome based on the intention-to-treat population. This trial is registered at ISRCTN, 52132803. FINDINGS Between Nov 17, 2018, and April 5, 2021, 278 patients were enrolled into the study. 143 patients were randomly assigned to the intervention group and 135 patients to the control group. Follow-up ended when the final patient completed treatment on Oct 4, 2021. In the intervention group, 87 (10%) of the 854 treatment months showed poor adherence compared with 290 (37%) of the 795 months in the control group. The corresponding adjusted risk difference for the intervention versus control was -29·2 percentage points (95% CI -35·3 to -22·2; p<0·0001). Five of the six secondary treatment outcomes also showed clear improvements, including treatment success, which was found for 133 (94%) of the 142 individuals in the intervention arm and 98 (73%) of the 134 individuals in the control arm, with an adjusted risk difference of 21 percentage points (95% CI 12·4-29·4); p<0·0001. INTERPRETATION The interventions were effective at improving tuberculosis treatment adherence and outcomes, and the trial suggests that a comprehensive package involving electronic medication monitors might positively affect tuberculosis programmes in high-burden and low-resource settings. FUNDING TB REACH.
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Affiliation(s)
- Xiaolin Wei
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
| | - Joseph Paul Hicks
- Nuffield Centre for International Health and Development, University of Leeds, Leeds, UK
| | - Zhitong Zhang
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Victoria Haldane
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Pande Pasang
- Shigatse Centre for Disease Control and Prevention, Shigatse, China
| | - Linhua Li
- Shigatse Centre for Disease Control and Prevention, Shigatse, China
| | | | - Bei Zhang
- Weifang Medical College, Weifang, China
| | - Yinlong Li
- Jining Medical University, Jining, China
| | - Qiuyu Pan
- North Sichuan Medical College, Nanchong, China
| | - Xiaoqiu Liu
- National Center for tuberculosis control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - John Walley
- Nuffield Centre for International Health and Development, University of Leeds, Leeds, UK
| | - Jun Hu
- Shigatse Centre for Disease Control and Prevention, Shigatse, China; Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
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Li YF, Yang Y, Kong XL, Song WM, Li YM, Li YY, Fang WW, Yang JY, Men D, Yu CB, Yang GR, Han WG, Liu WY, Yan K, Li HC, Liu Y. Transmission dynamics and phylogeography of Mycobacterium tuberculosis in China based on whole-genome phylogenetic analysis. Int J Infect Dis 2024; 140:124-131. [PMID: 37863309 DOI: 10.1016/j.ijid.2023.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 09/30/2023] [Accepted: 10/16/2023] [Indexed: 10/22/2023] Open
Abstract
OBJECTIVES This study aimed to describe the lineage-specific transmissibility and epidemiological migration of Mycobacterium tuberculosis in China. METHODS We curated a large set of whole-genome sequences from 3204 M. tuberculosis isolates, including thousands of newly sequenced genomes, and applied a series of metrics to compare the transmissibility of M. tuberculosis strains between lineages and sublineages. The countrywide transmission patterns of major lineages were explored. RESULTS We found that lineage 2 (L2) was the most prevalent lineage in China (85.7%), with the major sublineage 2.2.1 (80.9%), followed by lineage 4 (L4) (13.8%), which comprises major sublineages 4.2 (1.5%), 4.4 (6.2%) and 4.5 (5.8%). We showed evidence for frequent cross-regional spread and large cluster formation of L2.2.1 strains, whereas L4 strains were relatively geographically restricted in China. Next, we applied a series of genomic indices to evaluate M. tuberculosis strain transmissibility and uncovered higher transmissibility of L2.2.1 compared with the L2.2.2 and L4 sublineages. Phylogeographic analysis showed that southern, eastern, and northern China were highly connected regions for countrywide L2.2.1 strain spread. CONCLUSIONS The present study provides insights into the different transmission and migration patterns of the major M. tuberculosis lineages in China and highlights that transmissible L2.2.1 is a threat to tuberculosis control.
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Affiliation(s)
- Yi-Fan Li
- Department of Respiratory and Critical Care Medicine, the Third Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, PR China
| | - Yang Yang
- Institute of Nutrition and Health, School of Public Health, Qingdao University, Qingdao, PR China
| | - Xiang-Long Kong
- Xiang-long Kong, Shandong Artificial Intelligence Institute Qilu University of Technology & Shandong Academy of Sciences, Jinan, Shandong, PR China
| | - Wan-Mei Song
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Ya-Meng Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Shandong University of Traditional Chinese Medicine, Jinan, Shandong, PR China
| | - Ying-Ying Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Shandong University of Traditional Chinese Medicine, Jinan, Shandong, PR China
| | - Wei-Wei Fang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Jie-Yu Yang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Dan Men
- College of Geography and Environmental Science, Northwest Normal University, No. 967 Anning East Road, Lanzhou, Gansu Province, China
| | - Chun-Bao Yu
- Center for Integrative and Translational Medicine, Shandong Public Health Clinical Center, Jinan, Shandong, PR China
| | - Guo-Ru Yang
- Department of Respiratory and Critical Care Medicine, Weifang Respiratory Disease Hospital & Weifang No. 2 People's Hospital, Weifang, Shandong, PR China
| | - Wen-Ge Han
- Department of Respiratory and Critical Care Medicine, Weifang Respiratory Disease Hospital & Weifang No. 2 People's Hospital, Weifang, Shandong, PR China
| | - Wen-Yu Liu
- Department of Respiratory and Critical Care Medicine, Weifang Respiratory Disease Hospital & Weifang No. 2 People's Hospital, Weifang, Shandong, PR China
| | - Kun Yan
- Department of Respiratory and Critical Care Medicine, Weifang Respiratory Disease Hospital & Weifang No. 2 People's Hospital, Weifang, Shandong, PR China
| | - Huai-Chen Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Yao Liu
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China.
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Zhou C, Li T, Du J, Yin D, Li X, Li S. Toward tuberculosis elimination by understanding epidemiologic characteristics and risk factors in Hainan Province, China. Infect Dis Poverty 2024; 13:20. [PMID: 38414000 PMCID: PMC10898115 DOI: 10.1186/s40249-024-01188-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/06/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND The disease burden of tuberculosis (TB) was heavy in Hainan Province, China, and the information on transmission patterns was limited with few studies. This atudy aims to further explore the epidemiological characteristics and influencing factors of TB in Hainan Province, and thereby contribute valuable scientific evidences for TB elimination in Hainan Province. METHODS The TB notification data in Hainan Province from 2013 to 2022 were collected from the Chinese National Disease Control Information System Tuberculosis Surveillance System, along with socio-economic data. The spatial-temporal and population distributions were analyzed, and spatial autocorrelation analysis was conducted to explore TB notification rate clustering. In addition, the epidemiological characteristics of the cases among in-country migrants were described, and the delay pattern in seeking medical care was investigated. Finally, a geographically and temporally weighted regression (GTWR) model was adopted to analyze the relationship between TB notification rate and socio-economic indicators. The tailored control suggestions in different regions for TB elimination was provided by understanding epidemiological characteristics and risk factors obtained by GTWR. RESULTS From 2013 to 2022, 64,042 cases of TB were notified in Hainan Province. The estimated annual percentage change of TB notification rate in Hainan Province from 2013 to 2020 was - 6.88% [95% confidence interval (CI): - 5.30%, - 3.69%], with higher rates in central and southern regions. The majority of patients were males (76.33%) and farmers (67.80%). Cases among in-country migrants primarily originated from Sichuan (369 cases), Heilongjiang (267 cases), Hunan (236 cases), Guangdong (174 cases), and Guangxi (139 cases), accounting for 53%. The majority (98.83%) of TB cases were notified through passive case finding approaches, with delay in seeking care. The GTWR analysis showed that gross domestic product per capita, the number of medical institutions and health personnel per 10,000 people were main factors affecting the high TB notification rates in some regions in Hainan Province. Different regional tailored measures such as more TB specialized hospitals were proposed based on the characteristics of each region. CONCLUSIONS The notification rate of TB in Hainan Province has been declining overall but still remained high in central and southern regions. Particular attention should be paid to the prevalence of TB among males, farmers, and out-of-province migrant populations. The notification rate was also influenced by economic development and medical conditions, indicating the need of more TB specialized hospitals, active surveillance and other tailored prevention and control measures to promote the progress of TB elimination in Hainan Province.
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Affiliation(s)
- Changqiang Zhou
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, Shandong, 250012, People's Republic of China
| | - Tao Li
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jian Du
- Clinical Center On TB Control, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Dapeng Yin
- Hainan Center for Disease Control and Prevention, Haikou, Hainan, 570203, People's Republic of China.
| | - Xiujun Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, Shandong, 250012, People's Republic of China.
- Research Center for Tuberculosis Control, Shandong University, Jinan, Shandong, People's Republic of China.
| | - Shixue Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, Shandong, 250012, People's Republic of China.
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Jiang H, Chen X, Lv J, Dai B, Liu Q, Ding X, Pan J, Ding H, Lu W, Zhu L, Lu P. Prospective cohort study on tuberculosis incidence and risk factors in the elderly population of eastern China. Heliyon 2024; 10:e24507. [PMID: 38314308 PMCID: PMC10837496 DOI: 10.1016/j.heliyon.2024.e24507] [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: 08/08/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 02/06/2024] Open
Abstract
Background Tuberculosis continues to be a significant public health concern in China, particularly among the elderly population. This study aimed to assess the risk factors of tuberculosis among elderly individuals in China through a cohort study, focusing on this high-risk population. Methods The population-based census was strategically designed to cover diverse regions and demographics across the city. The survey captured demographic and lifestyle information, as well as a clinical examination. Participants were prospectively followed up over a specified duration to monitor the incidence of tuberculosis cases. Results After a follow-up period of more than 7 years, 246 individuals developed tuberculosis, resulting in an incidence rate of 92.21 per 100,000 person-years (95 % CI 81.2-104.3). In multivariate analysis, the following factors were found to have significant associations with active tuberculosis. Increasing age correlated with a higher risk of active tuberculosis (AHR = 1.03 per 1-year increase in age, 95%CI: 1.01, 1.04, P < 0.001). Males continued to have a higher risk compared to females (HR = 2.73, 95%CI: 2.08, 3.58, P < 0.001). Individuals with a normal Body Mass Index (BMI) faced nearly three times higher risk compared to their obese counterparts (HR = 2.87, 95 % CI: 1.51, 5.46, P = 0.001). Conversely, those with an underweight BMI had a ten-fold higher risk compared to the obese group (HR = 9.89, 95 % CI: 4.92, 19.85, P < 0.001). Elderly individuals who quit smoking had a 1.35-fold increased risk compared to non-smokers (HR = 1.35, 95%CI: 1.12, 1.64, P < 0.001). Conclusions Tuberculosis incidence among the elderly population in China remained alarmingly high. This finding emphasizes the urgent need for implementing proactive case detection measures specifically tailored to address the specific needs of this vulnerable demographic, particularly in individuals who are male, have a history of former or current smoking, and have a low BMI. Moreover, we must not underestimate the influence of former smoking on tuberculosis risk.
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Affiliation(s)
- Hui Jiang
- Department of Chronic Communicable Disease, Disease Control and Prevention of Zhenjiang City, Zhenjiang, Jiangsu Province, PR China
| | - Xiu Chen
- The First Affiliated People's Hospital with Nanjing Medical University, Nanjing, Jiangsu Province, PR China
| | - Jie Lv
- Department of Chronic Communicable Disease, Disease Control and Prevention of Yangzhong City, Zhenjiang, Jiangsu Province, PR China
| | - Bing Dai
- Department of Chronic Communicable Disease, Disease Control and Prevention of Zhenjiang City, Zhenjiang, Jiangsu Province, PR China
| | - Qiao Liu
- Department of Chronic Communicable Disease, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, PR China
| | - Xiaoyan Ding
- Department of Chronic Communicable Disease, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, PR China
| | - Jingjing Pan
- Department of Chronic Communicable Disease, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, PR China
| | - Hui Ding
- Department of Chronic Communicable Disease, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, PR China
| | - Wei Lu
- Department of Chronic Communicable Disease, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, PR China
| | - Limei Zhu
- Department of Chronic Communicable Disease, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, PR China
| | - Peng Lu
- Department of Chronic Communicable Disease, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, PR China
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Zhu Y, Liu Z, Peng L, Liu B, Wu K, Zhang M, Wang X, Pan J. Evaluation of nucleotide MALDI-TOF-MS for the identification of Mycobacterium species. Front Cell Infect Microbiol 2024; 14:1335104. [PMID: 38379773 PMCID: PMC10876993 DOI: 10.3389/fcimb.2024.1335104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/22/2024] [Indexed: 02/22/2024] Open
Abstract
Background The accurate identification of the Mycobacterium tuberculosis complex (MTBC) and different nontuberculous mycobacteria (NTM) species is crucial for the timely diagnosis of NTM infections and for reducing poor prognoses. Nucleotide matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) has been extensively used for microbial identification with high accuracy and throughput. However, its efficacy for Mycobacterium species identification has been less studied. The objective of this study was to evaluate the performance of nucleotide MALDI-TOF-MS for Mycobacterium species identification. Methods A total of 933 clinical Mycobacterium isolates were preliminarily identified as NTM by the MPB64 test. These isolates were identified by nucleotide MALDI-TOF-MS and Sanger sequencing. The performance of nucleotide MALDI-TOF MS for identifying various Mycobacterium species was analyzed based on Sanger sequencing as the gold standard. Results The total correct detection rate of all 933 clinical Mycobacterium isolates using nucleotide MALDI-TOF-MS was 91.64% (855/933), and mixed infections were detected in 18.65% (174/933) of the samples. The correct detection rates for Mycobacterium intracellulare, Mycobacterium abscessus, Mycobacterium kansasii, Mycobacterium avium, MTBC, Mycobacterium gordonae, and Mycobacterium massiliense were 99.32% (585/589), 100% (86/86), 98.46% (64/65), 94.59% (35/37), 100.00% (34/34), 95.65% (22/23), and 100% (19/19), respectively. For the identification of the MTBC, M. intracellulare, M. abscessus, M. kansasii, M. avium, M. gordonae, and M. massiliense, nucleotide MALDI-TOF-MS and Sanger sequencing results were in good agreement (k > 0.7). Conclusion In conclusion, nucleotide MALDI-TOF-MS is a promising approach for identifying MTBC and the most common clinical NTM species.
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Affiliation(s)
- Yelei Zhu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhengwei Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lina Peng
- Department of Service and Support, Agena Bioscience, Shanghai, China
| | - Bin Liu
- Department of Service and Support, Agena Bioscience, Shanghai, China
| | - Kunyang Wu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Mingwu Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xiaomeng Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Junhang Pan
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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Gao J, Zhang Y, Wang X, Sun Q, Yin J. Active screening for tuberculosis among high-risk populations in high-burden areas in Zhejiang province, China. Public Health 2024; 226:138-143. [PMID: 38056401 DOI: 10.1016/j.puhe.2023.10.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/13/2023] [Accepted: 10/31/2023] [Indexed: 12/08/2023]
Abstract
OBJECTIVES Tuberculosis (TB) is a major global public health concern. Although the incidence of TB in China is declining, the country continues to face many challenges regarding TB control. This study aimed to develop an active case finding (ACF) strategy for high-risk populations in areas with high TB burden and evaluate the effectiveness of the ACF strategy for early TB detection in patients to reduce TB transmission. STUDY DESIGN This was a descriptive study. METHODS From May to October 2019, active TB screening was conducted in Zhejiang Province, China. Overall, 24 high-burden townships were chosen as study sites. Residents aged ≥65 years, suffering from diabetes, diagnosed with HIV/AIDS, or with a history of TB were mobilized for screening. Chest radiography was performed for all participants in the community. Sputum specimens were collected for sputum smear tests and cultures at county-level TB-designed hospitals. A professional medical team performed the final diagnoses. RESULTS Overall, 130,643 residents were included, accounting for 8.85% of the total population in the selected areas. After screening, 89 confirmed cases and 419 suspected cases were identified. The detection rates for suspected and confirmed cases were 320.72/100,000 and 68.12/100,000, respectively. Individuals with a history of TB accounted for a large proportion of detected cases, and the detection rate was higher among males than in females. This study identified 10.5% of reported cases in the selected areas in 2019. In Zhejiang province, compared with the previous year, the rates of TB notification in 2019 and 2020 declined by 7.0% and 7.4%, respectively, compared with the previous year. However, the TB notification rate in 2019 was almost the same as that in 2018 (a decline of 2.5%) but sharply declined in 2020 (14.4%) in the screened areas. CONCLUSIONS Our findings suggest that the ACF strategy may have helped to maintain the downward trends in TB notification rates by detecting patients with TB and suspected cases in the short term.
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Affiliation(s)
- J Gao
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
| | - Y Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - X Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Q Sun
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
| | - J Yin
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
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Li S, Tan Y, Deng Y, Bai G, Huang M, Shang Y, Wang Y, Xue Z, Zhang X, Wang W, Pan J, Pang Y. The emerging threat of fluroquinolone-, bedaquiline-, and linezolid-resistant Mycobacterium tuberculosis in China: Observations on surveillance data. J Infect Public Health 2024; 17:137-142. [PMID: 38000314 DOI: 10.1016/j.jiph.2023.11.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 11/08/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Drug-resistant tuberculosis (TB), especially multidrug-resistant tuberculosis (MDR-TB), constitutes a major obstacle to fulfill end TB strategy globally. Although fluoroquinolones (FQs), linezolid (LZD) and bedaquiline (BDQ) were classified as Group A drugs for MDR-TB treatment, our knowledge of the prevalence of TB which were resistant to Group A drugs in China is quite limited. METHODS In this study, we conducted a prospective multicenter surveillance study in China to determine the proportion of TB patients that were resistant to Group A drugs. A total of 1877 TB patients were enrolled from 2022 at four TB specialized hospitals. The drug susceptibility of isolated strains was conducted using the MGIT 960 system and the molecular mechanisms conferring drug resistance were investigated by Sanger sequencing. RESULTS 12.9% of isolates were resistant to levofloxacin (LFX), 13.2% were resistant to moxifloxacin (MOX), 0.2% were resistant to bedaquiline (BDQ), and 0.8% were resistant to linezolid (LZD). Totally, 14.0% and 0.4% were classified as multidrug resistant- (MDR-) and extensively drug resistant- (XDR-) TB. The drug resistance was more common in retreated TB cases compared to new cases. In addition, 70.0% of fluoroquinolone (FQ)-resistant isolates harbored mutations in the gyrA and gyrB gene. By contrast, the common drug-resistant mutations were only found in 50% BDQ-resistant and 20% LZD-resistant isolates. CONCLUSIONS Our data demonstrate that approximate half of MDR -TB patients are resistant to fluoroquinolones, with extremely low prevalence of initial BDQ and LZD resistance. Findings from this study provide important implications for the current management of MDR-TB patients.
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Affiliation(s)
- Shanshan Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Yaoju Tan
- Department of Clinical Laboratory, Guangzhou Chest Hospital, Guangzhou, PR China
| | - Yufeng Deng
- Katharine Hsu International Research Center of Human Infectious Diseases, Shandong Public Health Clinical Center Affiliated to Shandong University, Jinan, PR China
| | - Guanghong Bai
- Department of Clinical Laboratory, Shaanxi Provincial Tuberculosis Institute, Xi'an, PR China
| | - Mingxiang Huang
- Department of Clinical Laboratory, Fuzhou Pulmonary Hospital and Fujian Medical University Clinical Teaching Hospital, Fuzhou, PR China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Yufeng Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Zhongtan Xue
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Junhua Pan
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China.
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Li L, Zhou F, Li F, Chen J, Xie X. Prevalence of tuberculosis infection among patients with Takayasu arteritis: a meta-analysis of observational studies. Sci Rep 2023; 13:22481. [PMID: 38110470 PMCID: PMC10728179 DOI: 10.1038/s41598-023-49998-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/14/2023] [Indexed: 12/20/2023] Open
Abstract
To clarify the risk of tuberculosis (TB) infection in patients with Takayasu arteritis (TAK). In this study, we conducted a comprehensive search across multiple databases, including PubMed, Web of Science, Embase, Cochrane, and Medline, from the inception of the Literature Library to May 16, 2023. Using a specific set of keywords, including "Takayasu Arteritis", "Tuberculosis", and "Mycobacterium tuberculosis", the main objective of this search was to identify all relevant observational studies, including case-control studies, cohort studies, and cross-sectional studies, that report the prevalence of TB in individuals diagnosed with TAK. Two independent evaluators rigorously screened the studies, extracted data, and assessed the study quality using the Joanna Briggs Institute (JBI) critical appraisal tools. Statistical analyses were conducted using R software version 4.3.0, which allowed for the synthesis of prevalence and subgroup analyses. Subgroup analyses were stratified based on quality scores, World Health Organization regional categorizations, and TB categories. Assessment of publication bias was performed using a funnel plot. The study included a total of 30 studies with 5548 participants. The findings showed that individuals with TAK exhibited an average prevalence of TB infection at 31.27% (95% CI 20.48-43.11%). Significantly, the prevalence of TB infection demonstrated notable regional disparities, ranging from 16.93% (95% CI 7.71-28.76%) in the Western Pacific Region to 63.58% (95% CI 35.70-87.66%) in the African Region. Moreover, the study revealed that patients with TAK displayed a high prevalence of latent TB infection (LTBI) at 50.01% (95% CI 31.25-68.77%) and active TB at 14.40% (95% CI 9.03-20.68%). The high heterogeneity observed in the data highlights significant variability in TB infection rates among the populations studied, with the African Region exhibiting the highest rates. The study concludes that there is a high prevalence of TB infection in the TAK population, with regional variations. Consideration should be given to implementing rigorous TB screening measures and preventive interventions specifically tailored for the TAK population.
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Affiliation(s)
- Liping Li
- Department of Rheumatology, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Medical Research Center for Systemic Autoimmune Diseases in Hunan Province, Changsha, China
| | - Fang Zhou
- Department of Rheumatology, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Medical Research Center for Systemic Autoimmune Diseases in Hunan Province, Changsha, China
| | - Fen Li
- Department of Rheumatology, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Medical Research Center for Systemic Autoimmune Diseases in Hunan Province, Changsha, China
| | - Jinwei Chen
- Department of Rheumatology, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Medical Research Center for Systemic Autoimmune Diseases in Hunan Province, Changsha, China
| | - Xi Xie
- Department of Rheumatology, The Second Xiangya Hospital of Central South University, Changsha, China.
- Clinical Medical Research Center for Systemic Autoimmune Diseases in Hunan Province, Changsha, China.
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Tang P, Liu R, Qin L, Xu P, Xiong Y, Deng Y, Lv Z, Shang Y, Gao X, Yao L, Zhang R, Feng Y, Ding C, Jing H, Li L, Tang YW, Pang Y. Accuracy of Xpert® MTB/RIF Ultra test for posterior oropharyngeal saliva for the diagnosis of paucibacillary pulmonary tuberculosis: a prospective multicenter study. Emerg Microbes Infect 2023; 12:2148564. [PMID: 36377487 DOI: 10.1080/22221751.2022.2148564] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Posterior oropharyngeal saliva (POS) is increasingly recognized as an alternative specimen for detecting respiratory pathogens. The accuracy of Xpert® MTB/RIF Ultra (X-Ultra), when performed on POS obtained from patients with paucibacillary pulmonary tuberculosis (TB) is unclear. METHODS We consecutively recruited adults with symptoms suggestive of pulmonary TB who were negative by both smear microscopy and Xpert MTB/RIF (X-Classic). Each participant was required to provide one bronchoalveolar lavage fluid (BALF) and one POS specimen, respectively. Diagnostic performances of X-Ultra and X-Classic on POS were compared against clinical and mycobacterial reference standards. FINDINGS 686 participants meeting inclusion criteria were consecutively enrolled into the study. The overall diagnostic sensitivities of X-Ultra and X-Classic on POS samples were 78.9% [95% confidence interval (CI): 72.8-83.8] and 56.4% (95% CI: 49.7-62.9), respectively; the specificities were 96.6% (95% CI: 94.3-98.1) for X-Ultra and 97.6 (95CI: 95.5-98.8) for X-Classic in POS specimens. Notably, the sensitivity of X-Ultra on POS was as sensitive as X-Classic on BALF against microbiological reference standard (78.9% VS 73.1%). Against clinical diagnosis as a reference standard, the sensitivities of X-Ultra and X-Classic on POS were 55.9% (95% CI: 50.5-61.2; 193/345) and 40.0% (95% CI: 34.8-45.4; 138/345), respectively. The risk of negative results with POS was dramatically increased with decreasing bacterial loads. CONCLUSIONS The testing of POS using X-Ultra shows promise as a tool to identify patients with paucibacillary TB. Considering that bronchoscopy is a semi-invasive procedure, POS testing ahead of bronchoscopy, may decrease the need for bronchoscopic procedures, and the cost of care.
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Affiliation(s)
- Peijun Tang
- Department of Tuberculosis, The Fifth People's Hospital of Suzhou, The Affiliated Infectious Diseases Hospital, Suzhou Medical College of Soochow University, Suzhou, People's Republic of China
| | - Rongmei Liu
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China.,Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Lin Qin
- Department of Endoscopic Diagnosis & Treatment, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Ping Xu
- Department of Clinical Laboratory, The Fifth People's Hospital of Suzhou, Infectious Disease Hospital Affiliated to Soochow University, Suzhou, People's Republic of China
| | - Yu Xiong
- Department of Tuberculosis, Shandong Public Health Clinical Center, Jinan, People's Republic of China
| | - Yunfeng Deng
- Katharine Hsu International Research Center of Human Infectious Diseases, Shandong Public Health Clinical Center Affiliated to Shandong University, Jinan, People's Republic of China
| | - Zizheng Lv
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Xinghui Gao
- Cepheid, Danaher Diagnostic Platform, Shanghai, People's Republic of China
| | - Lin Yao
- Department of Tuberculosis, The Fifth People's Hospital of Suzhou, The Affiliated Infectious Diseases Hospital, Suzhou Medical College of Soochow University, Suzhou, People's Republic of China
| | - Ruoyu Zhang
- Department of Tuberculosis, The Fifth People's Hospital of Suzhou, The Affiliated Infectious Diseases Hospital, Suzhou Medical College of Soochow University, Suzhou, People's Republic of China
| | - Yanjun Feng
- Department of Tuberculosis, The Fifth People's Hospital of Suzhou, The Affiliated Infectious Diseases Hospital, Suzhou Medical College of Soochow University, Suzhou, People's Republic of China
| | - Caihong Ding
- Department of Tuberculosis, Shandong Public Health Clinical Center, Jinan, People's Republic of China
| | - Hui Jing
- Katharine Hsu International Research Center of Human Infectious Diseases, Shandong Public Health Clinical Center Affiliated to Shandong University, Jinan, People's Republic of China
| | - Liang Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Yi-Wei Tang
- Cepheid, Danaher Diagnostic Platform, Shanghai, People's Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
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Mijiti P, Liu C, Hong C, Li M, Tan X, Zheng K, Li B, Ji L, Mao Q, Jiang Q, Takiff H, Fang H, Tan W, Gao Q. Implications for TB control among migrants in large cities in China: A prospective population-based genomic epidemiology study in Shenzhen. Emerg Microbes Infect 2023; 13:2287119. [PMID: 37990991 PMCID: PMC10810669 DOI: 10.1080/22221751.2023.2287119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/19/2023] [Indexed: 11/23/2023]
Abstract
Internal migrants are a challenge for TB control in large Chinese cities and understanding this epidemiology is crucial for designing effective control and prevention strategies. We conducted a prospective genomic epidemiological study of culture-positive TB patients diagnosed between June 1, 2018 and May 31, 2021 in the Longhua District of Shenzhen. Treatment status was obtained from local and national TB registries and all isolates were sequenced. Genomic clusters were defined as strains differing by ≤12 SNPs. Risk factors for clustering were identified with multivariable analysis and then Bayesian models and TransPhylo were used to infer the timing of transmission within clusters. Of the 2277 culture-positive patients, 70.1% (1596/2277) were migrants: 72.1% (1043/1446) of the migrants patients developed TB within two years of arriving in Longhua; 38.8% within 6 months of arriving; and 12.3% (104/843) had TB symptoms when they arrived. Only 15.4% of Longhua strains were in genomic clusters. More than one third (33.6%) of patients were not treated in Shenzhen but were involved in nearly one third of the recent transmission events. Clustering was associated with migrants not treated in Shenzhen, males, and teachers/trainers. TB in Longhua is prinicipally due to reactivation of infections in migrants, but a proportion may have had clinical or incipient TB upon arrival in the district. Patients diagnosed but not treated in Longhua were involved in recent local TB transmission. Controlling TB in Shenzhen will require strategies to comprehensively diagnose and treat active TB in the internal migrant population.
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Affiliation(s)
- Peierdun Mijiti
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, People’s Republic of China
- Xinjiang Medical University, School of Public Health, Department of Epidemiology, Wulumuqi, People's Republic of China
| | - Changwei Liu
- Longhua District Center for Chronic Disease Control, Shenzhen, People’s Republic of China
| | - Chuangyue Hong
- Shenzhen Center for Chronic Disease Control, Shenzhen, People’s Republic of China
| | - Meng Li
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, People’s Republic of China
| | - Xiaoping Tan
- Longhua District Center for Chronic Disease Control, Shenzhen, People’s Republic of China
| | - Kaiqiao Zheng
- Longhua District Center for Chronic Disease Control, Shenzhen, People’s Republic of China
| | - Bin Li
- Longhua District Center for Chronic Disease Control, Shenzhen, People’s Republic of China
| | - Lecai Ji
- Shenzhen Center for Chronic Disease Control, Shenzhen, People’s Republic of China
| | - Qizhi Mao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, People’s Republic of China
| | - Qi Jiang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, People’s Republic of China
| | - Howard Takiff
- Laboratorio de Genética Molecular, CMBC, IVIC, Caracas, Venezuela
| | - Hongxia Fang
- Longhua District Center for Chronic Disease Control, Shenzhen, People’s Republic of China
| | - Weiguo Tan
- Shenzhen Center for Chronic Disease Control, Shenzhen, People’s Republic of China
| | - Qian Gao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, People’s Republic of China
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31
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Mao JJ, Chen HL, Li CH, Lu JW, Gu YY, Feng J, Zhang B, Ma JF, Qin G. Population impact of fine particulate matter on tuberculosis risk in China: a causal inference. BMC Public Health 2023; 23:2285. [PMID: 37980514 PMCID: PMC10657490 DOI: 10.1186/s12889-023-16934-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/08/2023] [Indexed: 11/20/2023] Open
Abstract
BACKGROUND Previous studies have suggested the potential association between air pollution and tuberculosis incidence, but this association remains inconclusive and evidence to assess causality is particularly lacking. We aimed to draw causal inference between fine particulate matter less than 2.5 μm in diameter (PM2.5) and tuberculosis in China. METHODS Granger causality (GC) inference was performed within vector autoregressive models at levels and/or first-differences using annual national aggregated data during 1982-2019, annual provincial aggregated data during 1982-2019 and monthly provincial aggregated data during 2004-2018. Convergent cross-mapping (CCM) approach was used to determine the backbone nonlinear causal association based on the monthly provincial aggregated data during 2004-2018. Moreover, distributed lag nonlinear model (DLNM) was applied to quantify the causal effects. RESULTS GC tests identified PM2.5 driving tuberculosis dynamics at national and provincial levels in Granger sense. Empirical dynamic modeling provided the CCM causal intensity of PM2.5 effect on tuberculosis at provincial level and demonstrated that PM2.5 had a positive effect on tuberculosis incidence. Then, DLNM estimation demonstrated that the PM2.5 exposure driven tuberculosis risk was concentration- and time-dependent in a nonlinear manner. This result still held in the multi-pollutant model. CONCLUSIONS Causal inference showed that PM2.5 exposure driving tuberculosis, which showing a concentration gradient change. Air pollutant control may have potential public health benefit of decreasing tuberculosis burden.
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Affiliation(s)
- Jun-Jie Mao
- Joint Division of Clinical Epidemiology, Affiliated Hospital of Nantong University, School of Public Health of Nantong University, Nantong, China
- Jiangyin Center for Disease Control and Prevention, Wuxi, China
| | - Hong-Lin Chen
- Department of Epidemiology and Biostatistics, School of Public Health of Nantong University, Nantong, China
| | - Chun-Hu Li
- Department of Epidemiology and Biostatistics, School of Public Health of Nantong University, Nantong, China
| | - Jia-Wang Lu
- Department of Infectious Diseases, Affiliated Hospital of Nantong University, Nantong, China
| | - Yuan-Yuan Gu
- Centre for the Health Economy, Macquarie University, Sydney, NSW, Australia
| | - Jian Feng
- National Key Clinical Construction Specialty - Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Bin Zhang
- Department of Infectious Diseases, Affiliated Hospital of Nantong University, Nantong, China.
| | - Jun-Feng Ma
- Nantong Center for Disease Control and Prevention, Nantong, China.
| | - Gang Qin
- Joint Division of Clinical Epidemiology, Affiliated Hospital of Nantong University, School of Public Health of Nantong University, Nantong, China.
- Department of Epidemiology and Biostatistics, School of Public Health of Nantong University, Nantong, China.
- National Key Clinical Construction Specialty - Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Nantong, China.
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Wingfield T. Ending Tuberculosis in Older People: New Strategies for an Age-old Disease. Clin Infect Dis 2023; 77:1476-1479. [PMID: 37506252 PMCID: PMC10654857 DOI: 10.1093/cid/ciad439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 07/27/2023] [Indexed: 07/30/2023] Open
Affiliation(s)
- Tom Wingfield
- Departments of Clinical Sciences and International Public Health, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, United Kingdom
- World Health Organization Collaborating Centre in Tuberculosis and Social Medicine, Department of Global Public Health, Karolinska Institutet, Norrbackagatan 4, 171 76 Stockholm, Sweden
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Luo Y, Wu B, Xu Y, Ai L, Lv H, Wu J, Tan W. Epidemiologic changes of infectious diseases in the post-SARS era in China, 2004-2018. BMC Public Health 2023; 23:2171. [PMID: 37932712 PMCID: PMC10626686 DOI: 10.1186/s12889-023-16756-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 09/13/2023] [Indexed: 11/08/2023] Open
Abstract
OBJECTIVES To outline 44 major infectious diseases in the post-SARS (severe acute respiratory syndrome) in China and describe their long-term trends and changes by age, sex, epidemic season, and province. BACKGROUND After the outbreak of severe acute respiratory syndrome (SARS) in 2003, with the change of infectious disease prevention and control system and the improvement of residents' quality of life, the incidence and mortality of infectious diseases have undergone major changes. METHODS The data of 44 major infectious diseases in China from 2004 to 2018 were obtained from the monthly analysis report of the China Information System for Disease Control and Prevention (CISDCP) and the Public Health Science Data Center. Joinpoint r regression models were used to examine trends in incidence and mortality for 44 major and important infectious diseases from 2004 to 2018. RESULTS From 2004 to 2018, 20,105, 500, 772 patients (10, 306, 546, 523 males and 9, 798, 954, 249 females) were diagnosed with 44 major infectious diseases. The overall incidence of 44 infectious diseases increased significantly from 294.6 per 100,000 people in 2004 to 479.1 per 100,000 people in 2010, with 7.9% APC (95% CI 5.2% -10.7%, P < 0.001), then slowed, and then increased to 561.2 per 100,000 people in 2018, with 1.5% APC (-0.1%-3.2%, P = 0.070). The overall mortality rose significantly, from 0.49 to 1.13 per 100,000 people between 2004 and 2011, with an APC increase of 11.6% (7.7% -15.6%, P < 0.001), and then remained stable until 2018. Among these, the prevalence of vaccine-preventable diseases and gastrointestinal & enteroviral diseases remained high and increased year by year. Patients with zoonotic diseases have the greatest risk of death, while patients with sexually transmitted and blood-borne diseases have the greatest number of deaths. Incidence rates vary considerably across geographic regions. Western China has a disproportionate burden of infectious diseases compared with eastern regions. CONCLUSIONS After the event of SARS in 2003, infectious disease preventing and controlling model has undergone major changes in China, and certain achievements have been made in this field. Although overall morbidity and case fatality rates are still rising, they have leveled off. In reducing the disproportionate disease burden in the western region, expanding vaccination programs, preventing further increases in rates of sexually transmitted diseases, renewing efforts for emerging and persistent infectious diseases, and addressing seasonal and unpredictable outbreaks (such as the COVID-19 pandemic), there are still remain many challenges.
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Affiliation(s)
- Yizhe Luo
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, P.R. China
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, 210002, P.R. China
| | - Binxiong Wu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, P.R. China
| | - Yameng Xu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, P.R. China
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, 210002, P.R. China
| | - Lele Ai
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, 210002, P.R. China
| | - Heng Lv
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, 210002, P.R. China
| | - Jiahong Wu
- Guizhou Medical University, Guiyang, Guizhou, 550025, P.R. China.
| | - Weilong Tan
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, P.R. China.
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, 210002, P.R. China.
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Wang Q, Li YL, Yin YL, Hu B, Yu CC, Wang ZD, Li YH, Xu CJ, Wang YB. Association of air pollutants and meteorological factors with tuberculosis: a national multicenter ecological study in China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:1629-1641. [PMID: 37535117 DOI: 10.1007/s00484-023-02524-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 08/04/2023]
Abstract
The impact of weather variability and air pollutants on tuberculosis (TB) has been a research hotspot. Previous studies have mostly been limited to a certain area or with a small sample size of cases, and multi-scale systematic studies are lacking. In this study, 14,816,329 TB cases were collected from 31 provinces in China between 2004 and 2018 to estimate the association between TB risk and meteorological factors and air pollutants using a two-stage time-series analysis. The impact and lagged time of meteorological factors and air pollutants on TB risk varied greatly in different provinces and regions. Overall cumulative exposure-response summary associations across 31 provinces suggested that high monthly mean relative humidity (RH) (66.8-82.4%, percentile56-100 (P56-100)), rainfall (316.5-331.1 mm, P96-100), PM2.5 exposure concentration (93.3-145.0 μg/m3, P58-100), and low monthly mean wind speed (1.6-2.1 m/s, P0-38) increased the risk of TB incidence, with a relative risk (RR) of 1.10 (95% CI: 1.04-1.16), 1.10 (95% CI: 1.03-1.16), 2.08 (95% CI: 1.18-3.65), and 2.06 (95% CI: 1.27-3.33), and attributable risk percent (AR%) of 9%, 9%, 52%, and 51%, respectively. Conversely, high monthly average wind speed (2.3-2.9 m/s, P54-100) and mean temperature (20.2-25.3 °C, P79-96), and low monthly average rainfall (2.4-25.2 mm, P0-7) and concentration of SO2 (8.1-21.2 μg/m3, P0-16) exposure decreased the risk of TB incidence, with an overall cumulative RR of 0.92 (95% CI: 0.87-0.98), 0.74 (95% CI: 0.59-0.94), 0.87 (95% CI: 0.79-0.95), and 0.72 (95% CI: 0.56-0.93), respectively. Our study provided insights into future planning of public health interventions for TB.
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Affiliation(s)
- Qian Wang
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Yan-Lin Li
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Ya-Ling Yin
- Sino-UK Joint Laboratory of Brain Function and Injury of Henan Province, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Bin Hu
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Chong-Chong Yu
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Zhen-de Wang
- School of Public Health, Weifang Medical University, Shandong Province, Weifang, 261053, China
- National Center for Tuberculosis Control and Prevention, China Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yu-Hong Li
- National Center for Tuberculosis Control and Prevention, China Center for Disease Control and Prevention, Beijing, 102206, China
| | - Chun-Jie Xu
- Institute of Medical Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical Sciences, Beijing, 100730, China.
| | - Yong-Bin Wang
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China.
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Wang J, Yu C, Xu Y, Chen Z, Qiu W, Chen S, Pei H, Zhong Y. Analysis of Drug-Resistance Characteristics and Genetic Diversity of Multidrug-Resistant Tuberculosis Based on Whole-Genome Sequencing on the Hainan Island, China. Infect Drug Resist 2023; 16:5783-5798. [PMID: 37692467 PMCID: PMC10487742 DOI: 10.2147/idr.s423955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 08/22/2023] [Indexed: 09/12/2023] Open
Abstract
Purpose Given the high burden of Tuberculosis (TB) in China, the prevalence of multidrug-resistant tuberculosis (MDR-TB) is significant. Whole-genome sequencing (WGS) of Mycobacterium tuberculosis (MTB) enables the identification of lineages, drug-resistant mutations, and transmission patterns, offering valuable insights for TB control, clinical diagnosis, and treatment. Methods We collected 202 MDR-MTB strains from 3519 suspected pulmonary TB patients treated at The Second Affiliated Hospital of Hainan Medical University between July 2019 and June 2021. Proportional drug-susceptibility testing was performed using 8 common anti-tuberculosis drugs. Subsequently, the genotypic drug resistance and genetic characteristics were analyzed by the WGS. Results Lineages are identified by TB-profiler revealed 202 MDR-MTB strains, showcasing three predominant lineages, with lineage 2 being the most prevalent. Close genomic relatedness analysis and evidence of MTB transmission led to the formation of 15 clusters comprising 42 isolates, resulting in a clustering rate of 20.8%. Novelty, lineage 2.1 (non-Beijing) accounted for 27.2% of the MDR-MTB strains, which is rare in China and Neighboring countries. Regarding first-line anti-TB drugs, genes associated with rifampicin resistance, primarily the rpoB gene, were detected in 200 strains (99.0%). Genes conferring resistance to isoniazid, ethambutol, and streptomycin were identified in 191 (94.5%), 125 (61.9%), and 100 (49.5%) strains, respectively. Among the second-line drugs, 97 (48.0%) strains exhibited genes encoding resistance to fluoroquinolones. Comparing the results to phenotypic drug susceptibility-based testing, the sensitivity of WGS for detecting resistance to each of the six drugs (rifampicin, isoniazid, ethambutol, ofloxacin, kanamycin, capreomycin) was 90% or higher. With the exception of ethambutol, the specificity of WGS prediction for the remaining drugs exceeded 88%. Conclusion Our study provides crucial insights into genetic mutation types, genetic diversity, and transmission of MDR-MTB on Hainan Island, serving as a significant reference for MDR-MTB surveillance and clinical decision-making.
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Affiliation(s)
- Jieying Wang
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, People’s Republic of China
| | - Chunchun Yu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, People’s Republic of China
| | - Yuni Xu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, People’s Republic of China
| | - Zhuolin Chen
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, People’s Republic of China
| | - Wenhua Qiu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, People’s Republic of China
| | - Shaowen Chen
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, People’s Republic of China
| | - Hua Pei
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, People’s Republic of China
| | - Yeteng Zhong
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, People’s Republic of China
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Wei X, Fu T, Chen D, Gong W, Zhang S, Long Y, Wu X, Shao Z, Liu K. Spatial-temporal patterns and influencing factors for pulmonary tuberculosis transmission in China: an analysis based on 15 years of surveillance data. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:96647-96659. [PMID: 37580473 DOI: 10.1007/s11356-023-29248-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/05/2023] [Indexed: 08/16/2023]
Abstract
Profiting from a series of anti-tuberculosis programs in China, the number of tuberculosis (TB) cases has diminished dramatically in the past decades. However, long-term spatial-temporal variations, regional trends of prevalence, and mechanisms of determinant factors remain unclear. Age-period-cohort analysis and Bayesian space-time hierarchy statistics were conducted to identify high-risk populations and areas in mainland China, and the geographical detector model was used to evaluate the important drivers of the disease. The prevalence of pulmonary TB has declined from 73.3/100,000 in 2004 to 55.45/100,000 in 2018. A bimodal distribution was found in age groups, and the birth cohorts before 1978 had relative higher risk. The high-risk areas were mainly distributed in western China and south-central China, and several provinces in eastern China showed a potential increasing trend, including Beijing, Shanghai, Liaoning, and Guangdong province. The index of night light (Q = 0.46), the population density (Q = 0.41), PM10 (Q = 0.38), urbanization rate (Q = 0.32), and PM 2.5 (Q = 0.31) contributed substantially to the spatial distribution of pulmonary tuberculosis. The identifications of epidemic patterns, high-risk areas and influence factors would help design targeted intervention measures to achieve milestones of the end TB strategy.
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Affiliation(s)
- Xiao Wei
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and control in Special Operational Environment, Air Force Medical University, Xi'an, People's Republic of China
| | - Ting Fu
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and control in Special Operational Environment, Air Force Medical University, Xi'an, People's Republic of China
| | - Di Chen
- RDFZ Chaoyang Experimental School, Beijing, People's Republic of China
| | - Wenping Gong
- Tuberculosis Prevention and Control Key Laboratory, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Shuyuan Zhang
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
| | - Yong Long
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
| | - Xubin Wu
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and control in Special Operational Environment, Air Force Medical University, Xi'an, People's Republic of China
| | - Zhongjun Shao
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
- Ministry of Education Key Lab of Hazard Assessment and control in Special Operational Environment, Air Force Medical University, Xi'an, People's Republic of China
| | - Kun Liu
- Department of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China.
- Ministry of Education Key Lab of Hazard Assessment and control in Special Operational Environment, Air Force Medical University, Xi'an, People's Republic of China.
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Li M, Lu L, Jiang Q, Jiang Y, Yang C, Li J, Zhang Y, Zou J, Li Y, Dai W, Hong J, Takiff H, Shen X, Guo X, Yuan Z, Gao Q. Genotypic and spatial analysis of transmission dynamics of tuberculosis in Shanghai, China: a 10-year prospective population-based surveillance study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 38:100833. [PMID: 37790084 PMCID: PMC10544272 DOI: 10.1016/j.lanwpc.2023.100833] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/02/2023] [Accepted: 06/15/2023] [Indexed: 10/05/2023]
Abstract
Background With improved tuberculosis (TB) control programs, the incidence of TB in China declined dramatically over the past few decades, but recently the rate of decrease has slowed, especially in large cities such as Shanghai. To help formulate strategies to further reduce TB incidence, we performed a 10-year study in Songjiang, a district of Shanghai, to delineate the characteristics, transmission patterns, and dynamic changes of the local TB burden. Methods We conducted a population-based study of culture-positive pulmonary TB patients diagnosed in Songjiang during 2011-2020. Genomic clusters were defined with a threshold distance of 12-single-nucleotide-polymorphisms based on whole-genome sequencing, and risk factors for clustering were identified by logistic regression. Transmission inference was performed using phybreak. The distances between the residences of patients were compared to the genomic distances of their isolates. Spatial patient hotspots were defined with kernel density estimation. Findings Of 2212 enrolled patients, 74.7% (1652/2212) were internal migrants. The clustering rate (25.2%, 558/2212) and spatial concentrations of clustered and unclustered patients were unchanged over the study period. Migrants had significantly higher TB rates but less clustering than residents. Clustering was highest in male migrants, younger patients and both residents and migrants employed in physical labor. Only 22.1% of transmission events occurred between residents and migrants, with residents more likely to transmit to migrants. The clustering risk decreased rapidly with increasing distances between patient residences, but more than half of clustered patient pairs lived ≥5 km apart. Epidemiologic links were identified for only 15.6% of clustered patients, mostly in close contacts. Interpretation Although some of the TB in Songjiang's migrant population is caused by strains brought by infected migrants, local, recent transmission is an important driver of the TB burden. These results suggest that further reductions in TB incidence require novel strategies to detect TB early and interrupt urban transmission. Funding Shanghai Municipal Science and Technology Major Project (ZD2021CY001), National Natural Science Foundation of China (82272376), National Research Council of Science and Technology Major Project of China (2017ZX10201302-006).
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Affiliation(s)
- Meng Li
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Liping Lu
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Qi Jiang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- School of Public Health, Renmin Hospital Public Health Research Institute, Wuhan University, Wuhan, China
| | - Yuan Jiang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Chongguang Yang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Jing Li
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Yangyi Zhang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Jinyan Zou
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Yong Li
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Wenqi Dai
- Department of Clinical Laboratory, Songjiang District Central Hospital, Shanghai, China
| | - Jianjun Hong
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Howard Takiff
- Laboratorio de Genética Molecular, CMBC, Instituto Venezolano de Investigaciones Científicas, IVIC, Caracas, Venezuela
| | - Xin Shen
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Xiaoqin Guo
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Zhengan Yuan
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Qian Gao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
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Zhao Y, Xu S, Zhang X, Wang L, Huang Y, Wu S, Wu Q. The Effectiveness of Improving Infectious Disease-Specific Health Literacy Among Residents: WeChat-Based Health Education Intervention Program. JMIR Form Res 2023; 7:e46841. [PMID: 37556189 PMCID: PMC10448287 DOI: 10.2196/46841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Infectious disease-specific health literacy (IDSHL) has become an important determinant of infectious disease incidence. It can not only reduce the incidence of re-emerging infectious diseases, but also effectively prevent the emergence of new infectious diseases such as COVID-19. WeChat, as a new media, has been proven to greatly reduce the chance of infectious diseases spreading from person to person, especially in case of respiratory infections. However, there is currently no concrete health education invention program to improve IDSHL using a WeChat public account. OBJECTIVE The aims of this study were as follows: (1) to determine the IDSHL of the population in Zhejiang, China; (2) to develop a health education program for the improvement of IDSHL using a WeChat public account; and (3) to evaluate the effectiveness of the health education program that was implemented in the prevention of infectious disease outbreaks. METHODS We used a standardized questionnaire, which consisted of 28 closed-ended questions, to measure the level and score of IDSHL before and after intervention. A multiple-stage stratified random sampling technique was used to select study participants from Zhejiang province in China, who were further divided randomly into 2 groups: the intervention and control groups. From July 2014 to January 2015, a WeChat-based health education intervention program was carried out on the intervention group. Standard descriptive statistics and chi-square and t tests were conducted to analyze the data. RESULTS A total of 3001 residents participated in the baseline survey of this study. At baseline, participant IDSHL rates were 73.29% and 72.12% for the intervention and control groups, respectively (Χ21=0.5; P=.50). After 7 months of intervention, 9.90% (297/3001) of participants dropped out of the study. Of the lost participants, 119 were from the intervention group and 178 were from the control group. There were significant differences between follow-up and lost participants with respect to age (P=.04), marital status (P=.02) and occupations (P=.002). After intervention, the intervention group scores in the different domains were higher than those in the control group (infectious disease-related knowledge, prevention, management, or treatment, identification of pathogens and infection sources, and cognitive ability). There were significant improvements in the IDSHL of participants in both the intervention and control groups (Χ21=135.9; P<.001 vs Χ21=9.1; P=.003), and there was a greater change in the IDSHL among the intervention group participants than among the control group participants (1230/1359, 90.51% vs 1038/1359, 77.17%). CONCLUSIONS The health education intervention program using a WeChat public account proved to be an effective, feasible, and well-accepted means to improve the IDSHL of the general population. In the future, this health education intervention program can be used as a reference for prevention and treatment of infectious diseases.
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Affiliation(s)
- Yusui Zhao
- Zhejiang Provincial Center for Disease Control and Prevention, Department of Health Education, Hanghzhou, China
| | - Shuiyang Xu
- Zhejiang Provincial Center for Disease Control and Prevention, Department of Health Education, Hanghzhou, China
| | - Xuehai Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Department of Health Education, Hanghzhou, China
| | - Lei Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Department of Health Education, Hanghzhou, China
| | - Yu Huang
- Zhejiang Provincial Center for Disease Control and Prevention, Department of Health Education, Hanghzhou, China
| | - Shuxian Wu
- Zhejiang Provincial Center for Disease Control and Prevention, Department of Health Education, Hanghzhou, China
| | - Qingqing Wu
- Zhejiang Provincial Center for Disease Control and Prevention, Department of Health Education, Hanghzhou, China
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Scarponi D, Clark RA, Weerasuriya CK, Emery J, Houben RMGJ, White R, McCreesh N. Is neglect of self-clearance biasing TB vaccine impact estimates? BMJ Glob Health 2023; 8:e012799. [PMID: 37558271 PMCID: PMC10414120 DOI: 10.1136/bmjgh-2023-012799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 07/13/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Mathematical modelling has been used extensively to estimate the potential impact of new tuberculosis vaccines, with the majority of existing models assuming that individuals with Mycobacterium tuberculosis (Mtb) infection remain at lifelong risk of tuberculosis disease. Recent research provides evidence that self-clearance of Mtb infection may be common, which may affect the potential impact of new vaccines that only take in infected or uninfected individuals. We explored how the inclusion of self-clearance in models of tuberculosis affects the estimates of vaccine impact in China and India. METHODS For both countries, we calibrated a tuberculosis model to a scenario without self-clearance and to various scenarios with self-clearance. To account for the current uncertainty in self-clearance properties, we varied the rate of self-clearance, and the level of protection against reinfection in self-cleared individuals. We introduced potential new vaccines in 2025, exploring vaccines that work in uninfected or infected individuals only, or that are effective regardless of infection status, and modelling scenarios with different levels of vaccine efficacy in self-cleared individuals. We then estimated the relative disease incidence reduction in 2050 for each vaccine compared with the no vaccination scenario. FINDINGS The inclusion of self-clearance increased the estimated relative reductions in incidence in 2050 for vaccines effective only in uninfected individuals, by a maximum of 12% in China and 8% in India. The inclusion of self-clearance increased the estimated impact of vaccines only effective in infected individuals in some scenarios and decreased it in others, by a maximum of 14% in China and 15% in India. As would be expected, the inclusion of self-clearance had minimal impact on estimated reductions in incidence for vaccines that work regardless of infection status. INTERPRETATIONS Our work suggests that the neglect of self-clearance in mathematical models of tuberculosis vaccines does not result in substantially biased estimates of tuberculosis vaccine impact. It may, however, mean that we are slightly underestimating the relative advantages of vaccines that work in uninfected individuals only compared with those that work in infected individuals.
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Affiliation(s)
- Danny Scarponi
- Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Rebecca A Clark
- Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | | | - Jon Emery
- Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Rein M G J Houben
- Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Richard White
- Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Nicky McCreesh
- Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
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Chen S, Wang Y, Zhan Y, Liu C, Wang Q, Feng J, Li Y, Chen H, Zeng Z. The incidence of tuberculous pleurisy in mainland China from 2005 to 2018. Front Public Health 2023; 11:1180818. [PMID: 37397728 PMCID: PMC10311513 DOI: 10.3389/fpubh.2023.1180818] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/12/2023] [Indexed: 07/04/2023] Open
Abstract
Background Currently, tuberculous pleurisy (TP) remains a serious problem affecting global public health, including in China. Our purpose was to comprehensively understand and identify the incidence of TP in mainland China between 2005 and 2018. Methods The data on registered TP cases from 2005 to 2018 were acquired from the National Tuberculosis Information Management System. We analyzed the demographics, epidemiology, and time-space distribution of TP patients. Then, the effects of potentially influential factors on TP incidences, such as medical expenses per capita, GDP per capita, and population density, were assessed using the Spearman correlation coefficient. Results The incidence of TP increased in mainland China from 2005 to 2018, with a mean incidence of 2.5 per 100,000 population. Interestingly, spring was the peak season for TP, with more notified cases. Tibet, Beijing, Xinjiang, and Inner Mongolia had the highest mean annual incidence. A moderate positive relationship was found between TP incidence, medical expenses per capita, and GDP per capita. Conclusions The notified incidence of TP had an elevated trend from 2005 to 2018 in mainland China. The findings of this study provide insight into the knowledge of TP epidemiology in the country, which can help optimize resource allocation to reduce the TP burden.
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Affiliation(s)
- Shuhan Chen
- Second Clinical College, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuan Zhan
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Changyu Liu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Wang
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Feng
- Department of Social Medicine and Health Management, School of Public Health, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yufeng Li
- Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huilong Chen
- Department and Institute of Infectious Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhilin Zeng
- Department and Institute of Infectious Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Scarponi D, Clark RA, Weerasuriya C, Emery JC, Houben RM, White RG, McCreesh N. Is neglect of self-clearance biassing TB vaccine impact estimates? MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.11.23288400. [PMID: 37090535 PMCID: PMC10120796 DOI: 10.1101/2023.04.11.23288400] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Background Mathematical modelling has been used extensively to estimate the potential impact of new tuberculosis vaccines, with the majority of existing models assuming that individuals with Mycobacterium tuberculosis (Mtb) infection remain at lifelong risk of tuberculosis disease. Recent research provides evidence that self-clearance of Mtb infection may be common, which may affect the potential impact of new vaccines that only take in infected or uninfected individuals. We explored how the inclusion of self-clearance in models of tuberculosis affects the estimates of vaccine impact in China and India. Methods For both countries, we calibrated a tuberculosis model to a scenario without self-clearance and to various scenarios with self-clearance. To account for the current uncertainty in self-clearance properties, we varied the rate of self-clearance, and the level of protection against reinfection in self-cleared individuals. We introduced potential new vaccines in 2025, exploring vaccines that work in uninfected or infected individuals only, or that are effective regardless of infection status, and modelling scenarios with different levels of vaccine efficacy in self-cleared individuals. We then estimated the relative incidence reduction in 2050 for each vaccine compared to the no vaccination scenario. Findings The inclusion of self-clearance increased the estimated relative reductions in incidence in 2050 for vaccines effective only in uninfected individuals, by a maximum of 12% in China and 8% in India. The inclusion of self-clearance increased the estimated impact of vaccines only effective in infected individuals in some scenarios and decreased it in others, by a maximum of 14% in China and 15% in India. As would be expected, the inclusion of self-clearance had minimal impact on estimated reductions in incidence for vaccines that work regardless of infection status. Interpretations Our work suggests that the neglect of self-clearance in mathematical models of tuberculosis vaccines does not result in substantially biased estimates of tuberculosis vaccine impact. It may, however, mean that we are slightly underestimating the relative advantages of vaccines that work in uninfected individuals only compared to those that work in infected individuals.
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Affiliation(s)
- Danny Scarponi
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine
| | - Rebecca A Clark
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine
| | - Chathika Weerasuriya
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine
| | - Jon C Emery
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine
| | - Rein Mgj Houben
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine
| | - Richard G White
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine
| | - Nicky McCreesh
- Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine
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Manurung N. Involving religious organizations in improving TB medication adherence. Indian J Tuberc 2023; 71 Suppl 2:S191-S196. [PMID: 39370182 DOI: 10.1016/j.ijtb.2023.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 04/20/2023] [Indexed: 10/08/2024]
Abstract
BACKGROUND Health is a state of health, both physically, mentally, spiritually, and socially that allows everyone to live a productive life socially and economically. Pulmonary tuberculosis is a global health problem that could impact on productivity and quality of life. The number of TB cases in Indonesia According to WHO, there are an estimated 1,020,000 new TB cases per year (399 per 100,000 population) with 100,000 deaths per year (41 per 100,000 population). Pulmonary tuberculosis is a global health problem that can impact productivity and quality of life. The persistence of family support in improving the compliance of pulmonary tuberculosis patients in taking medication is the key to the success of tuberculosis treatment. AIMS This study aims to determine the involvement of religious organizations in supporting tuberculosis patients to improve treatment adherence. METHODS This research is a qualitative study with a phenomenological approach. Data were collected using in-depth interviews and then analyzed by content analysis. The informants in this study consisted of 8 participants. RESULT The results of this study found three themes, namely Understanding TB treatment, Socialinteraction management, and Socialsupport. CONCLUSIONS It was concluded that the support of religious organizations during the patient's treatment can increase the patient's compliance to take medicine regularly and make regular controls/visits. It is also recommended that families encourage patients to continue to participate in religious activities while still complying with health procedures.
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Wang J, Zhang X, Huo F, Qin L, Liu R, Shang Y, Yao C, Ma L, Pang Y. Analysis of Xpert MTB/RIF results in retested patients with very low initial bacterial loads: A retrospective study in China. J Infect Public Health 2023; 16:911-916. [PMID: 37068397 DOI: 10.1016/j.jiph.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 02/18/2023] [Accepted: 04/04/2023] [Indexed: 04/19/2023] Open
Abstract
BACKGROUND The Xpert MTB/RIF (Xpert) assay has been widely used to diagnose suspected active tuberculosis (TB) and rifampicin-resistant TB cases. Despite its excellent performance record, false-positive Xpert rifampicin (RIF) resistance results are obtained for specimens with extremely low bacterial loads. OBJECTIVE We aimed to study the feasibility of repeat Xpert testing as a strategy for reducing the odds of obtaining false-positive results when testing paucibacillary TB patients. METHODS We enrolled previously tested TB patients with very low initial bacterial loads from May 2016 to February 2022 for Xpert retesting. A total of 251 TB patients were retested using the Xpert assay. RESULTS RIF resistance was noted in 65 (25.9 %) patients when tested by Xpert at initial diagnosis. Only 107 (42.6 %) of 251 patients tested positive for MTB when retested via Xpert. The majority (98.6 %) of RIF-susceptible cases were still susceptible to RIF when retested. Initial Xpert testing yielded 35 positive results for MTB in the RIF-resistant group, of whom 25 (71.4 %) still exhibited RIF resistance when retested. All culture-positive MTB isolates in the RIF-susceptible group were also RIF-susceptible by phenotypic DST. In the RIF-resistant group, 10 of 14 culture-positive MTB isolates exhibited RIF resistance, of which 4 isolates were deemed RIF-susceptible by phenotypic DST. The proportion of double mutations within the MTB rpoB RRDR sequence, as detected by hybridization of Xpert D and E probes, was significantly higher in the RIF-susceptible group than in the RIF-susceptible group. CONCLUSIONS Our results demonstrated that initial RIF-susceptible results were more accurate than RIF-resistant results. Additionally, patients with double mutations that delayed probe D/E hybridization were more likely to have false-positive Xpert results. Our findings emphasize that repeat Xpert MTB/RIF testing is necessary for TB patients with extremely low bacterial loads who are at high risk for RIF-resistant TB.
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Affiliation(s)
- Jun Wang
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China
| | - Fengmin Huo
- National Clinical Laboratory on Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China
| | - Lin Qin
- Department of Endoscopic Diagnosis & Treatment, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China
| | - Rongmei Liu
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China
| | - Liping Ma
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China.
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Zhang H, Yang J, Zhang Z, Hu K, Wu P, Zhang H, Li J, Li M, Wang X. Patterns and trends of primary drug-resistant tuberculosis in Chongqing, China, from 2012 to 2020. Medicine (Baltimore) 2023; 102:e33230. [PMID: 36897690 PMCID: PMC9997792 DOI: 10.1097/md.0000000000033230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 02/16/2023] [Indexed: 03/11/2023] Open
Abstract
Primary drug-resistant tuberculosis (DR-TB) contributes significantly to the global TB epidemic, particularly in countries with high TB burdens. This study aimed to investigate the characteristics of primary DR-TB prevalence in Chongqing, China, from 2012 to 2020. A total of 4546 newly diagnosed and 2769 relapse TB patients admitted to the hospital from 2012 to 2020 were included. Categorical variables were compared using Pearson chi-square test or Fisher exact test, as appropriate. Logistic regression analysis was performed to determine factors associated with primary DR-TB. The rate of primary DR-TB was 24.5%, whereas that of acquired DR-TB was 67.8%. Among newly diagnosed TB cases, the percentage of DR-TB (from 48.9 to 44.2%), mono-resistant TB (from 11.8 to 9.7%), multidrug-resistant TB (MDR-TB; from 25.3 to 6.9%), and pre-extensive drug-resistant TB (from 13.7 to 5.8%) showed a decreasing trend from 2012 to 2020. Age from 15 to 64 years was a risk factor for the development of primary DR-TB (15-44 years: adjusted odds ratio = 2.227, 95% confidence interval: 1.053-4.710; 45-64 years: adjusted odds ratio = 2.223, 95% confidence interval: 1.048-4.717). The rates of primary DR-TB (P = .041) and MDR-TB (P = .007) were significantly higher in the age group of 15 to 64 years than in the age groups of ≤14 years and ≥65 years. Noticeably, rising trends of primary DR-TB (from 0 to 27.3%) and MDR-TB (from 0 to 9.1%) in the population of ≤14 years were observed from 2012 to 2020. Although the rate of primary DR-TB showed a downward trend, a rising drug-resistance rate among some particular subgroups was still observed. Further control of primary DR-TB should focus more on TB patients aged 15 to 64 years.
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Affiliation(s)
- Huizheng Zhang
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing China
| | - Jing Yang
- Clinical Laboratory, Henan Chest Hospital, Henan, China
| | - Zhen Zhang
- Department of Pharmacy, Chongqing Public Health Medical Center, Chongqing China
| | - Kui Hu
- Department of Paediatrics, Dazhou Central Hospital, Sichuan, China
| | - Ping Wu
- Department of Tuberculosis, Chongqing Public Health Medical Center, Chongqing China
| | - Haiyan Zhang
- Clinical Laboratory, Chongqing Public Health Medical Center, Chongqing China
| | - Jungang Li
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing China
| | - Mei Li
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing China
| | - Xiaoying Wang
- Faculty of Medical Technology, Chongqing Medical and Pharmaceutical College, Chongqing, China
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Zhang Q, Ding H, Gao S, Zhang S, Shen S, Chen X, Xu Z. Spatiotemporal Changes in Pulmonary Tuberculosis Incidence in a Low-Epidemic Area of China in 2005-2020: Retrospective Spatiotemporal Analysis. JMIR Public Health Surveill 2023; 9:e42425. [PMID: 36884278 PMCID: PMC10034607 DOI: 10.2196/42425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 01/14/2023] [Accepted: 01/18/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND In China, tuberculosis (TB) is still a major public health problem, and the incidence of TB has significant spatial heterogeneity. OBJECTIVE This study aimed to investigate the temporal trends and spatial patterns of pulmonary tuberculosis (PTB) in a low-epidemic area of eastern China, Wuxi city, from 2005 to 2020. METHODS The data of PTB cases from 2005 to 2020 were obtained from the Tuberculosis Information Management System. The joinpoint regression model was used to identify the changes in the secular temporal trend. Kernel density analysis and hot spot analysis were used to explore the spatial distribution characteristics and clusters of the PTB incidence rate. RESULTS A total of 37,592 cases were registered during 2005-2020, with an average annual incidence rate of 34.6 per 100,000 population. The population older than 60 years had the highest incidence rate of 59.0 per 100,000 population. In the study period, the incidence rate decreased from 50.4 to 23.9 per 100,000 population, with an average annual percent change of -4.9% (95% CI -6.8% to -2.9%). The incidence rate of pathogen-positive patients increased during 2017-2020, with an annual percent change of 13.4% (95% CI 4.3%-23.2%). The TB cases were mainly concentrated in the city center, and the incidence of hot spots areas gradually changed from rural areas to urban areas during the study period. CONCLUSIONS The PTB incidence rate in Wuxi city has been declining rapidly with the effective implementation of strategies and projects. The populated urban centers will become key areas of TB prevention and control, especially in the older population.
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Affiliation(s)
- Qi Zhang
- Department of Chronic Communicable Disease, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Huan Ding
- Department of Chronic Communicable Disease, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Song Gao
- Department of Chronic Communicable Disease, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Shipeng Zhang
- Department of Chronic Communicable Disease, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Shiya Shen
- Department of Chronic Communicable Disease, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Xiaoyan Chen
- Department of Chronic Communicable Disease, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Zhuping Xu
- Department of Chronic Communicable Disease, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
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Teo AKJ, Rahevar K, Morishita F, Ang A, Yoshiyama T, Ohkado A, Kawatsu L, Yamada N, Uchimura K, Choi Y, Chen Z, Yi S, Yanagawa M, Oh KH, Viney K, Marais B, Kim H, Kato S, Liu Y, Ong CW, Islam T. Tuberculosis in older adults: case studies from four countries with rapidly ageing populations in the western pacific region. BMC Public Health 2023; 23:370. [PMID: 36810018 PMCID: PMC9942033 DOI: 10.1186/s12889-023-15197-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/02/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND The Western Pacific Region has one of the fastest-growing populations of older adults (≥ 65 years) globally, among whom tuberculosis (TB) poses a particular concern. This study reports country case studies from China, Japan, the Republic of Korea, and Singapore reflecting on their experiences in managing TB among older adults. FINDINGS Across all four countries, TB case notification and incidence rates were highest among older adults, but clinical and public health guidance focused on this population was limited. Individual country reports illustrated a range of practices and challenges. Passive case finding remains the norm, with limited active case finding (ACF) programs implemented in China, Japan, and the Republic of Korea. Different approaches have been trialled to assist older adults in securing an early diagnosis, as well as adhering to their TB treatment. All countries emphasised the need for person-centred approaches that include the creative application of new technology and tailored incentive programs, as well as reconceptualisation of how we provide treatment support. The use of traditional medicines was found to be culturally entrenched among older adults, with a need for careful consideration of their complementary use. TB infection testing and the provision of TB preventive treatment (TPT) were underutilised with highly variable practice. CONCLUSION Older adults require specific consideration in TB response policies, given the burgeoning aging population and their high TB risk. Policymakers, TB programs and funders must invest in and develop locally contextualised practice guidelines to inform evidence-based TB prevention and care practices for older adults.
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Affiliation(s)
- Alvin Kuo Jing Teo
- grid.4280.e0000 0001 2180 6431Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore ,grid.1013.30000 0004 1936 834XFaculty of Medicine and Health, University of Sydney, Sydney, NSW Australia ,grid.1013.30000 0004 1936 834XThe University of Sydney Institute for Infectious Diseases (Sydney ID) and the Centre of Research Excellence in Tuberculosis (TB-CRE), Sydney, NSW Australia
| | - Kalpeshsinh Rahevar
- World Health Organization, Regional Office for the Western Pacific, Manila, Philippines.
| | - Fukushi Morishita
- grid.483407.c0000 0001 1088 4864World Health Organization, Regional Office for the Western Pacific, Manila, Philippines
| | - Alicia Ang
- grid.508010.cDivision of Infectious Diseases, Department of Medicine, Woodlands Health, Singapore, Singapore
| | - Takashi Yoshiyama
- grid.419151.90000 0001 1545 6914Research Institute of Tuberculosis, Anti-Tuberculosis Association, Tokyo, Japan
| | - Akihiro Ohkado
- grid.419151.90000 0001 1545 6914Research Institute of Tuberculosis, Anti-Tuberculosis Association, Tokyo, Japan
| | - Lisa Kawatsu
- grid.419151.90000 0001 1545 6914Research Institute of Tuberculosis, Anti-Tuberculosis Association, Tokyo, Japan
| | - Norio Yamada
- grid.419151.90000 0001 1545 6914Research Institute of Tuberculosis, Anti-Tuberculosis Association, Tokyo, Japan
| | - Kazuhiro Uchimura
- grid.419151.90000 0001 1545 6914Research Institute of Tuberculosis, Anti-Tuberculosis Association, Tokyo, Japan
| | - Youngeun Choi
- Korean National Tuberculosis Association, Seoul, Republic of Korea
| | - Zi Chen
- Office of International Cooperation, Innovation Alliance on Tuberculosis Diagnosis and Treatment, Beijing, China
| | - Siyan Yi
- grid.4280.e0000 0001 2180 6431Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore ,grid.513124.00000 0005 0265 4996KHANA Center for Population Health Research, Phnom Penh, Cambodia ,grid.265117.60000 0004 0623 6962Center for Global Health Research, Public Health Program, Touro University California, Vallejo, CA USA
| | - Manami Yanagawa
- grid.483407.c0000 0001 1088 4864World Health Organization, Regional Office for the Western Pacific, Manila, Philippines
| | - Kyung Hyun Oh
- grid.483407.c0000 0001 1088 4864World Health Organization, Regional Office for the Western Pacific, Manila, Philippines
| | - Kerri Viney
- grid.3575.40000000121633745Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
| | - Ben Marais
- grid.1013.30000 0004 1936 834XFaculty of Medicine and Health, University of Sydney, Sydney, NSW Australia ,grid.1013.30000 0004 1936 834XThe University of Sydney Institute for Infectious Diseases (Sydney ID) and the Centre of Research Excellence in Tuberculosis (TB-CRE), Sydney, NSW Australia
| | - Heejin Kim
- Korean National Tuberculosis Association, Seoul, Republic of Korea
| | - Seiya Kato
- grid.419151.90000 0001 1545 6914Research Institute of Tuberculosis, Anti-Tuberculosis Association, Tokyo, Japan
| | - Yuhong Liu
- grid.24696.3f0000 0004 0369 153XBeijing Chest Hospital, Capital Medical University, Beijing, China
| | - Catherine W.M. Ong
- grid.412106.00000 0004 0621 9599Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Infectious Diseases Translational Research Programme, Department of Medicine, National University of Singapore, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Institute of Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, Singapore
| | - Tauhid Islam
- grid.483407.c0000 0001 1088 4864World Health Organization, Regional Office for the Western Pacific, Manila, Philippines
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Hu W, Yuan P, Yuan Y, Chen L, Hu Y. Learning curve for inflatable mediastinoscopic and laparoscopic-assisted esophagectomy. Surg Endosc 2023:10.1007/s00464-023-09903-0. [PMID: 36809587 DOI: 10.1007/s00464-023-09903-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 01/18/2023] [Indexed: 02/23/2023]
Abstract
OBJECTIVE To identify the morbidity that is associated with the learning curve of inflatable mediastinoscopic and laparoscopic-assisted esophagectomy (IMLE), and investigate the strategies to ride out the early period. METHODS Our study included a retrospective series of 108 consecutive patients undergoing IMLE by a single surgeon with advanced training in minimally invasive esophageal surgery in independent practice at high-volume tertiary center from July 2017 to November 2020. The cumulative sum (CUSUM) method was used to analyze the learning curve. Patients were stratified into two groups in chronological order, defining the surgeon's early (Group 1: the first 27 cases) and late experience (Group 2: the next 81 cases). Intraoperative characteristics and short-term surgical outcomes were compared between the two groups. RESULTS A total of 108 patients were included. Three patients converted into thoracoscopic surgery. The number of patients with postoperative pulmonary infection was 16 (14.8%), and vocal cord palsy had occurred in 12 patients (11.1%). One patient died within 90 days after surgery. CUSUM plots revealed decreasing total operative time, thoracic procedure time, abdominal procedure time, assistant-adjustment time after patients 27, 17, 26, and 35, respectively. CONCLUSION IMLE is technically feasible, in terms of perioperative outcomes, for using as a radical surgery for thoracic esophageal cancer. For a surgeon experienced in minimally invasive esophageal surgery, experience of 27 cases is required to gain early proficiency of IMLE.
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Affiliation(s)
- Weipeng Hu
- Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, China
| | - Peisong Yuan
- Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, China
| | - Yong Yuan
- Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, China
| | - Longqi Chen
- Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, China
| | - Yang Hu
- Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, China.
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Xu J. Focus on global public health, screening for tuberculosis using colour-coded electronic health signs similar to that employed for screening coronavirus disease 2019 in China. J Transl Med 2023; 21:114. [PMID: 36765374 PMCID: PMC9913016 DOI: 10.1186/s12967-023-03975-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Affiliation(s)
- Jian Xu
- Department of Infectious Disease, The People's Hospital of Yubei District of Chongqing City, Yubei District, No.23, North Central Park Road, Chongqing, 401120, China.
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Zhang M, Chen S, Luo D, Chen B, Zhang Y, Wang W, Wu Q, Liu K, Wang H, Jiang J. Spatial-temporal analysis of pulmonary tuberculosis among students in the Zhejiang Province of China from 2007-2020. Front Public Health 2023; 11:1114248. [PMID: 36844836 PMCID: PMC9947845 DOI: 10.3389/fpubh.2023.1114248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 01/23/2023] [Indexed: 02/11/2023] Open
Abstract
Background Pulmonary tuberculosis (PTB) is a serious chronic communicable disease that causes a significant disease burden in China; however, few studies have described its spatial epidemiological features in students. Methods Data of all notified PTB cases from 2007 to 2020 in the student population were collected in the Zhejiang Province, China using the available TB Management Information System. Analyses including time trend, spatial autocorrelation, and spatial-temporal analysis were performed to identify temporal trends, hotspots, and clustering, respectively. Results A total of 17,500 PTB cases were identified among students in the Zhejiang Province during the study period, accounting for 3.75% of all notified PTB cases. The health-seeking delay rate was 45.32%. There was a decreasing trend in PTB notifications throughout the period; clustering of cases was seen in the western area of Zhejiang Province. Additionally, one most likely cluster along with three secondary clusters were identified by spatial-temporal analysis. Conclusion Although was a downward trend in PTB notifications among students during the time period, an upward trend was seen in bacteriologically confirmed cases since 2017. The risk of PTB was higher among senior high school and above than of junior high school. The western area of Zhejiang Province was the highest PTB risk settings for students, and more comprehensive interventions should be strengthened such as admission screening and routine health monitoring to improve early identification of PTB.
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Affiliation(s)
- Mengdie Zhang
- Department of Social Medicine of School of Public Health and Department of Pharmacy of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Songhua Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Dan Luo
- Department of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Bin Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yu Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Wei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Qian Wu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Kui Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China,*Correspondence: Kui Liu ✉
| | - Hongmei Wang
- Department of Social Medicine of School of Public Health and Department of Pharmacy of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China,Hongmei Wang ✉
| | - Jianmin Jiang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China,Jianmin Jiang ✉
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Spatial-temporal analysis of pulmonary tuberculosis in Hubei Province, China, 2011-2021. PLoS One 2023; 18:e0281479. [PMID: 36749779 PMCID: PMC9904469 DOI: 10.1371/journal.pone.0281479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 01/24/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Pulmonary tuberculosis (PTB) is an infectious disease of major public health problem, China is one of the PTB high burden counties in the word. Hubei is one of the provinces having the highest notification rate of tuberculosis in China. This study analyzed the temporal and spatial distribution characteristics of PTB in Hubei province for targeted intervention on TB epidemics. METHODS The data on PTB cases were extracted from the National Tuberculosis Information Management System correspond to population in 103 counties of Hubei Province from 2011 to 2021. The effect of PTB control was measured by variation trend of bacteriologically confirmed PTB notification rate and total PTB notification rate. Time series, spatial autonomic correlation and spatial-temporal scanning methods were used to identify the temporal trends and spatial patterns at county level of Hubei. RESULTS A total of 436,955 cases were included in this study. The total PTB notification rate decreased significantly from 81.66 per 100,000 population in 2011 to 52.25 per 100,000 population in 2021. The peak of PTB notification occurred in late spring and early summer annually. This disease was spatially clustering with Global Moran's I values ranged from 0.34 to 0.63 (P< 0.01). Local spatial autocorrelation analysis indicated that the hot spots are mainly distributed in the southwest and southeast of Hubei Province. Using the SaTScan 10.0.2 software, results from the staged spatial-temporal analysis identified sixteen clusters. CONCLUSIONS This study identified seasonal patterns and spatial-temporal clusters of PTB cases in Hubei province. High-risk areas in southwestern Hubei still exist, and need to focus on and take targeted control and prevention measures.
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