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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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Yu Z, Shang Z, Huang Q, Wen F, Patil S. Integrating systemic immune-inflammation index, fibrinogen, and T-SPOT.TB for precision distinction of active pulmonary tuberculosis in the era of mycobacterial disease research. Front Microbiol 2024; 15:1382665. [PMID: 38725688 PMCID: PMC11079184 DOI: 10.3389/fmicb.2024.1382665] [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: 02/06/2024] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
Background The clinical challenge of differentiating suspected tuberculosis with positive T-SPOT.TB results persist. This study aims to investigate the utility of the Systemic Immune-Inflammation Index (SII), Fibrinogen, and T-SPOT.TB in distinguishing between active pulmonary tuberculosis (PTB) and non-tuberculous lung diseases. Methods A retrospective analysis included 1,327 cases of active PTB with positive T-SPOT.TB results and 703 cases of non-tuberculous lung diseases from May 2016 to December 2020 at Meizhou People's Hospital. These were designated as the case group and the control group, respectively. The detection indicators of T-SPOT.TB: Early Secreted Antigenic Target 6 (ESAT-6), Culture Filtrate Protein 10 (CFP-10), as well as SII and Fibrinogen levels-were compared and analyzed for association and joint diagnostic value between the two groups. Results The case group showed higher values of ESAT-6, CFP-10, SII, and Fibrinogen compared to the control group (all p < 0.001). In the case group, SII and Fibrinogen did not correlate with ESAT-6 and CFP-10 (∣rs∣ all < 0.3) but were positively correlated with C-reactive protein (CRP; rs all > 0.3). SII and Fibrinogen values in smear-positive pulmonary tuberculosis were higher than in smear-negative cases (all p < 0.05). The optimal diagnostic thresholds for ESAT-6, CFP-10, SII, and Fibrinogen in differentiating between active PTB and non-tuberculous lung diseases were 21.50 SFCs/106 PBMC, 22.50 SFCs/106 PBMC, 2128.32, and 5.02 g/L, respectively. Regression logistic analysis showed that ESAT-6 < 21.5 (OR: 1.637, 95% CI: 1.311-2.043, p < 0.001), CFP-10 < 22.5 (OR: 3.918, 95% CI: 3.138-4.892, p = 0.025), SII < 2128.32 (OR: 0.763, 95% CI: 0.603-0.967, p < 0.001), and FIB < 5.02 (OR: 2.287, 95% CI: 1.865-2.806, p < 0.001) were independent risk factors for active PTB. The specificity for ESAT-6 + CFP-10, ESAT-6 + CFP-10 + SII, ESAT-6 + CFP-10 + FIB, and ESAT-6 + CFP-10 + SII + FIB was 82.5%, 83.2%, 95.8%, and 80.1%, respectively, while sensitivity was 52.6%, 53.0%, 55.8%, and 44.7%, and positive predictive values were 85.0%, 85.6%, 84.1%, and 89.6%, respectively. Conclusion SII and Fibrinogen are positively correlated with the degree of tuberculosis inflammation and the bacterial load of Mycobacterium tuberculosis. The combined detection of SII, Fibrinogen, and T-SPOT.TB is significant in distinguishing between active PTB with positive T-SPOT.TB results and non-tuberculous lung diseases.
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Affiliation(s)
- Zhikang Yu
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Zifang Shang
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Qingyan Huang
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Feiqiu Wen
- Department of Haematology and Oncology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Sandip Patil
- Department of Haematology and Oncology, Shenzhen Children’s Hospital, Shenzhen, China
- Paediatric Research Institute, Shenzhen Children’s Hospital, Shenzhen, China
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Wang H, Liu Y, Wang J, Ren T, Luo G, You H, Wang X, Li D, Wang L, Wang M. Rapid on-site evaluation of touch imprints of medical thoracoscopy biopsy tissue for the management of pleural disease. Front Med (Lausanne) 2023; 10:1196000. [PMID: 37359022 PMCID: PMC10288871 DOI: 10.3389/fmed.2023.1196000] [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: 03/29/2023] [Accepted: 05/16/2023] [Indexed: 06/28/2023] Open
Abstract
Background and objective Medical thoracoscopy (MT) plays an important role in the diagnosis and treatment of pleural diseases, and rapid on-site evaluation (ROSE) has long been used for transbronchial needle aspiration or fine-needle aspiration to evaluate the adequacy of biopsy materials for the diagnosis of peripheral lung lesions. However, research on ROSE combined with MT for the management of pleural disease has been rarely reported. We aimed to evaluate the diagnostic performance of ROSE for pleura biopsies and visual diagnosis by thoracoscopists for gross thoracoscopic appearance. The secondary objective was to assess the intermodality agreement between ROSE and the final histopathologic diagnosis. Methods A total of 579 patients with exudative pleural effusion (EPE) who underwent MT combined with ROSE from February 2017 to December 2020 at Taihe Hospital were included in the study. Thoracoscopists' visual diagnosis of gross thoracoscopic appearance, ROSE results, histopathologic findings, and the final diagnosis was recorded. Results Thoracoscopic pleural biopsies were performed in 565 patients (97.6%); 183 patients were confirmed to have malignant pleural effusion (MPE), and 382 patients were confirmed to have benign pleural effusion (BPE). The area under the curve of ROSE for the diagnosis of MPE was 0.96 (95% CI: 0.94-0.98, p < 0.001), with a sensitivity of 98.7%, a specificity of 97.2%, a diagnostic accuracy of 97.1%, a positive predictive value of 97.2%, and a negative predictive value of 97.2%. Diagnostic consistency between ROSE and histopathology was good (κ ± SE = 0.93 ± 0.02, p < 0.001). The area under the curve of the thoracoscopists' visual diagnosis of gross thoracoscopic appearance was 0.79 (95% CI: 0.75-0.83, p < 0.01), with a sensitivity of 76.7%, a specificity of 80.9%, a positive predictive value of 62.4%, and a negative predictive value of 89.3%. Conclusion ROSE of touch imprints of MT biopsy tissue during MT showed high accuracy for distinguishing between benign and malignant lesions. In addition, ROSE was in good agreement with the histopathological diagnosis, which may help thoracoscopists perform pleurodesis (talc poudrage) directly during the procedure, especially in patients with malignant results.
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Affiliation(s)
- Hansheng Wang
- Department of Pulmonary and Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yan Liu
- Department of Pulmonary and Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Jiankun Wang
- Department of Pulmonary and Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Tao Ren
- Department of Pulmonary and Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Guoshi Luo
- Department of Pulmonary and Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Hui You
- Department of Pulmonary and Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Xiao Wang
- Department of Pulmonary and Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Dan Li
- Department of Pathology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Lei Wang
- Department of Laboratory, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Meifang Wang
- Department of Pulmonary and Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
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Ji L, Tao FX, Yu YF, Liu JH, Yu FH, Bai CL, Wan ZY, Yang XB, Ma J, Zhou P, Niu Z, Zhou P, Xiang H, Chen M, Xiang Z, Zhang FQ, Jiang Q, Liu XJ. Whole-genome sequencing to characterize the genetic structure and transmission risk of Mycobacterium tuberculosis in Yichang city of China. Front Public Health 2023; 10:1047965. [PMID: 36699912 PMCID: PMC9868839 DOI: 10.3389/fpubh.2022.1047965] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Objective The burden of both general and drug-resistant tuberculosis in rural areas is higher than that in urban areas in China. To characterize the genetic structure and transmission risk of Mycobacterium tuberculosis in rural China, we used whole genome sequencing to analyze clinical strains collected from patients in two counties of Yichang for three consecutive years. Methods From 2018 to 2020, sputum samples were collected for cultures from patients with suspected tuberculosis in Yidu and Zigui county, and DNA was extracted from the positive strains for genome sequencing. The online SAM-TB platform was used to identify the genotypes and drug resistance-related mutations of each strain, establish a phylogenetic tree, and calculated the genetic distances between pairwise strains. Twelve single nucleotide polymorphisms (SNPs) were used as thresholds to identify transmission clusters. The risk of related factors was estimated by univariable and multivariable logistic regression. Results A total of 161 out of the collected 231 positive strains were enrolled for analysis, excluding non-tuberculous mycobacterium and duplicate strains from the same patient. These strains belonged to Lineage 2 (92, 57.1%) and Lineage 4 (69, 42.9%), respectively. A total of 49 (30.4%) strains were detected with known drug resistance-related mutations, including 6 (3.7%) multidrug-resistant-TB (MDR-TB) strains and 11 (6.8%) RIF-resistant INH-susceptible TB (Rr-TB) strains. Six of the MDR/Rr-TB (35.3%) were also resistant to fluoroquinolones, which made them pre-extensively drug-resistant TB (pre-XDR-TB). There were another seven strains with mono-resistance to fluoroquinolones and one strain with resistance to both INH and fluoroquinolones, making the overall rate of fluoroquinolones resistance 8.7% (14/161). A total of 50 strains (31.1%) were identified as transmission clusters. Patients under 45 years old (adjusted odds ratio 3.46 [95% confidential intervals 1.28-9.35]), treatment-naive patients (6.14 [1.39-27.07]) and patients infected by lineage 4 strains (2.22 [1.00-4.91]) had a higher risk of transmission. Conclusion The drug resistance of tuberculosis in rural China, especially to the second-line drug fluoroquinolones, is relatively serious. The standardized treatment for patients and the clinical use of fluoroquinolones warrant attention. At the same time, the recent transmission risk of tuberculosis is high, and rapid diagnosis and treatment management at the primary care needs to be strengthened.
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Affiliation(s)
- Lv Ji
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Feng-Xi Tao
- School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Yun-Fang Yu
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Jian-Hua Liu
- Institute of Infectious Disease Prevention and Control, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Feng-Hua Yu
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Chun-Lin Bai
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Zheng-Yang Wan
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Xiao-Bo Yang
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Jing Ma
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Pan Zhou
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Zhao Niu
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Ping Zhou
- Institute of Infectious Disease Prevention and Control, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China
| | - Hong Xiang
- Institute of Infectious Disease Prevention and Control, Yidu Center for Disease Control and Prevention, Yidu, Hubei, China
| | - Ming Chen
- Clinical Laboratory, Yidu First People's Hospital, Yidu, Hubei, China
| | - Zhou Xiang
- Institute of Infectious Disease Prevention and Control, Zigui Center for Disease Control and Prevention, Zigui, Hubei, China
| | - Fang-Qiong Zhang
- Clinical Laboratory, Zigui County People's Hospital, Zigui, Hubei, China
| | - Qi Jiang
- School of Public Health, Wuhan University, Wuhan, Hubei, China,*Correspondence: Qi Jiang ✉
| | - Xiao-Jun Liu
- Institute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China,Institute of Infectious Disease Prevention and Control, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China,Xiao-Jun Liu ✉
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5
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Zhao B, Liu C, Fan J, Ma A, He W, Hu Y, Zhao Y. Transmission and Drug Resistance Genotype of Multidrug-Resistant or Rifampicin-Resistant Mycobacterium tuberculosis in Chongqing, China. Microbiol Spectr 2022; 10:e0240521. [PMID: 36214695 PMCID: PMC9604020 DOI: 10.1128/spectrum.02405-21] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 08/29/2022] [Indexed: 01/04/2023] Open
Abstract
Multidrug-resistant or rifampicin-resistant tuberculosis (MDR/RR-TB) is a global barrier for the Stop TB plan. To identify risk factors for treatment outcome and cluster transmission of MDR/RR-TB, whole-genome sequencing (WGS) data of isolates from patients of the Chongqing Tuberculosis Control Institute were used for phylogenetic classifications, resistance predictions, and cluster analysis. A total of 223 MDR/RR-TB cases were recorded between 1 January 2018 and 31 December 2020. Elderly patients and those with lung cavitation are at increased risk of death due to MDR/RR-TB. A total of 187 MDR/RR strains were obtained from WGS data; 152 were classified as lineage 2 strains. Eighty (42.8%) strains differing by a distance of 12 or fewer single nucleotide polymorphisms were classified as 20 genomic clusters, indicating recent transmission. Patients infected with lineage 2 strains or those with occupations listed as "other" are significantly associated with a transmission cluster of MDR/RR-TB. Analysis of resistant mutations against first-line tuberculosis drugs found that 76 (95.0%) of all 80 strains had the same mutations within each cluster. A total of 55.0% (44 of 80) of the MDR/RR-TB strains accumulated additional drug resistance mutations along the transmission chain, especially against fluoroquinolones (63.6% [28 of 44]). Recent transmission of MDR/RR strains is driving the MDR/RR-TB epidemics, leading to the accumulation of more serious resistance along the transmission chains. IMPORTANCE The drug resistance molecular characteristics of MDR/RR-TB were elucidated by genome-wide analysis, and risk factors for death by MDR/RR-TB were identified in combination with patient information. Cluster characteristics of MDR/RR-TB in the region were analyzed by genome-wide analysis, and risk factors for cluster transmission (recent transmission) were analyzed. These analyses provide reference for the prevention and treatment of MDR/RR-TB in Chongqing.
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Affiliation(s)
- Bing Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Chunfa Liu
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Jiale Fan
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Aijing Ma
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Wencong He
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Yan Hu
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, Jiulongpo, Chongqing, China
| | - Yanlin Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
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Li M, Guo M, Peng Y, Jiang Q, Xia L, Zhong S, Qiu Y, Su X, Zhang S, Yang C, Mijiti P, Mao Q, Takiff H, Li F, Chen C, Gao Q. High proportion of tuberculosis transmission among social contacts in rural China: a 12-year prospective population-based genomic epidemiological study. Emerg Microbes Infect 2022; 11:2102-2111. [PMID: 35950916 PMCID: PMC9448380 DOI: 10.1080/22221751.2022.2112912] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Tuberculosis (TB) is more prevalent in rural than urban areas in China, and delineating TB transmission patterns in rural populations could improve TB control. We conducted a prospective population-based study of culture-positive pulmonary TB patients diagnosed between July 1, 2009 and December 31, 2020 in two rural counties in China. Genomic clusters were defined with a threshold distance of 12-single-nucleotide-polymorphisms, based on whole-genome sequencing. Risk factors for clustering were identified by logistic regression. Transmission links were sought through epidemiological investigation of genomic-clustered patients. Of 1517 and 751 culture-positive pulmonary TB patients in Wusheng and Wuchang counties, respectively, 1289 and 699 strains were sequenced. Overall, 624 (31.4%, 624/1988) patients were grouped into 225 genomic clusters. Epidemiological links were confirmed in 41.8% (196/469) of clustered isolates, including family (32.7%, 64/196) and social contacts (67.3%, 132/196). Social contacts were generally with relatives, within the community or in shared aggregated settings outside the community, but the proportion of clustered contacts in each category differed between the two sites. The time interval between diagnosis of student cases and contacts was significantly shorter than family and social contacts, probably due to enhanced student contact screening. Transmission of multidrug-resistant (MDR) strains was likely responsible for 81.4% (83/102) of MDR-TB cases, with minimal acquisition of additional resistance mutations. A large proportion of TB transmission in rural China occurred among social contacts, suggesting that active screening and aggressive contact tracing could benefit TB control, but contact screening should be tailored to local patterns of social interactions.
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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.,National Clinical Research Center for Infectious Diseases, Shenzhen, Guangdong, China
| | - Mingcheng Guo
- Wusheng County Center for Disease Control and Prevention, Guang'an, China
| | - Ying Peng
- Heilongjiang Provincial Center for Tuberculosis Prevention and Control, Harbin, 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, Wuhan University, Wuhan, China
| | - Lan Xia
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Sheng Zhong
- Wuchang City Center for Tuberculosis Control and Prevention, Harbin, China
| | - Yong Qiu
- Wusheng County Center for Disease Control and Prevention, Guang'an, China
| | - Xin Su
- Wuchang City Center for Tuberculosis Control and Prevention, Harbin, China
| | - Shu Zhang
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, 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
| | - 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, 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, China
| | - Howard Takiff
- Laboratorio de Genética Molecular, CMBC, IVIC, Caracas, Venezuela
| | - Fabin Li
- Heilongjiang Provincial Center for Tuberculosis Prevention and Control, Harbin, China
| | - Chuang Chen
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, 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.,National Clinical Research Center for Infectious Diseases, Shenzhen, Guangdong, China
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Qiu B, Tao B, Liu Q, Li Z, Song H, Tian D, Wu J, Wu Z, Zhan M, Lu W, Wang J. A Prospective Cohort Study on the Prevalent and Recurrent Tuberculosis Isolates Using the MIRU-VNTR Typing. Front Med (Lausanne) 2021; 8:685368. [PMID: 34595184 PMCID: PMC8476766 DOI: 10.3389/fmed.2021.685368] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 08/23/2021] [Indexed: 11/30/2022] Open
Abstract
The study aims to describe the clustering characteristics of Mycobacterium tuberculosis (M.tb) strains circulating in eastern China and determine the ratio of relapse and reinfection in recurrent patients. We recruited sputum smear-positive pulmonary tuberculosis cases from five cities of Jiangsu Province, China, during August 2013 and December 2015. Patients were followed for the treatment outcomes and recurrence based on a cohort design. M.tb strains were isolated and genotyped using the 12-locus MIRU-VNTR. The Beijing family was identified by the extended Region of Difference (RD) analysis. The Hunter-Gaston Discriminatory Index (HGDI) was used to judge the resolution ability of MIRU-VNTR. The odds ratio (OR) together with 95% confidence interval (CI) were used to estimate the strength of association. We performed a cluster analysis on 2098 M.tb isolates and classified them into 545 genotypes and five categories (I, 0.19%; II, 0.43%; III, 3.34%; IV, 77.46%; V, 18.59%). After adjusting for potential confounders, the Beijing family genotype (OR = 118.63, 95% CI: 79.61–176.79, P = 0.001) was significantly related to the dominant strain infections. Patients infected with non-dominant strains had a higher risk of the pulmonary cavity (OR = 1.39, 95% CI: 1.01–1.91, P = 0.046). Among 37 paired recurrent cases, 22 (59.46%) were determined as endogenous reactivation, and 15 (40.54%) were exogenous reinfection. The type of M.tb strains prevalent in Jiangsu Province is relatively single. Beijing family strains infection is dominant in local tuberculosis cases. Endogenous reactivation appears to be a major cause of recurrent tuberculosis in Eastern China. This finding emphasizes the importance of case follow-up and monitoring after the completion of antituberculosis treatment.
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Affiliation(s)
- Beibei Qiu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Bilin Tao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qiao Liu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Zhongqi Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Huan Song
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Dan Tian
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jizhou Wu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhuchao Wu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mengyao Zhan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wei Lu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Jianming Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
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Osei Sekyere J, Maningi NE, Fourie PB. Mycobacterium tuberculosis, antimicrobials, immunity, and lung-gut microbiota crosstalk: current updates and emerging advances. Ann N Y Acad Sci 2020; 1467:21-47. [PMID: 31989644 DOI: 10.1111/nyas.14300] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 12/10/2019] [Accepted: 12/20/2019] [Indexed: 12/16/2022]
Abstract
Increasingly, gut microbiota distortions are being implicated in the pathogenesis of several infectious and noninfectious diseases. Specifically, in the absence of an eubiotic microbiota, mice are more prone to colonization and infection by Mycobacterium tuberculosis (Mtb). In this qualitative analysis, the following were observed: (1) antimicrobials cause long-term gut microbiota perturbations; (2) Mtb causes limited and transient disturbances to the lung-gut microbiota; (3) pathogens (e.g., Helicobacter hepaticus) affect microbiota integrity and reduce resistance to Mtb; (4) dysbiosis depletes bacterial species regulating proper immune functioning, reducing resistance to Mtb; (5) dysregulated immune cells fail to express important pathogen-recognition receptors (e.g., macrophage-inducible C-type lectin; MINCLE) and Mtb-killing cytokines (e.g., IFN-γ, TNF-α, and IL-17), with hampered phagocytic capability; (6) autophagy is central to the immune system's clearance of Mtb, control of inflammation, and immunity-microbiome balance; (7) microbiota-produced short-chain fatty acids, which are reduced by dysbiosis, affect immune cells and increase Mtb proliferation; (8) commensal species (e.g., Lactobacillus plantarum) and microbiota metabolites (e.g., indole propionic acid) reduce tuberculosis progression; and (9) fecal transplants mostly restored eubiosis, increased immune resistance to Mtb, restricted dissemination of Mtb, and reduced tuberculosis-associated organ pathologies. Overuse of antimicrobials, as shown in mice, is a risk factor for reactivating latent or treated tuberculosis.
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Affiliation(s)
- John Osei Sekyere
- Molecular Mycobacteriology Laboratory, Department of Medical Microbiology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Nontuthuko E Maningi
- Molecular Mycobacteriology Laboratory, Department of Medical Microbiology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Petrus B Fourie
- Molecular Mycobacteriology Laboratory, Department of Medical Microbiology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
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Xie Y, Han J, Yu W, Wu J, Li X, Chen H. Survival Analysis of Risk Factors for Mortality in a Cohort of Patients with Tuberculosis. Can Respir J 2020; 2020:1654653. [PMID: 32963642 PMCID: PMC7492936 DOI: 10.1155/2020/1654653] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 07/27/2020] [Accepted: 08/25/2020] [Indexed: 02/05/2023] Open
Abstract
Identify the treatment effects and risk factors for mortality in patients with pulmonary tuberculosis receiving antituberculosis treatment under the Directly Observed Treatment Short-Course (DOTS) program to reduce the mortality rate of tuberculosis. A retrospective cohort analysis was conducted on the outcomes of antituberculosis treatment of 7,032 patients with tuberculosis in the DOTS program, in the Tuberculosis Management Information System from 2014 to 2017 in Tianjin, China. The Kaplan-Meier method and multifactor Cox proportional risk regression model were used to analyze the risk factors for mortality during antituberculosis treatment under DOTS. The success rate of antituberculosis treatment was 90.24% and the mortality rate was 4.56% among 7,032 cases of tuberculosis in Tianjin. Cox regression analysis showed that advanced age, male sex, human immunodeficiency virus (HIV) positivity, first sputum positivity, retreated tuberculosis, and a delayed visit (≥14 days) were risk factors for mortality in patients with pulmonary tuberculosis receiving antituberculosis treatment under DOTS. The treatment effects in patients with pulmonary tuberculosis during antituberculosis treatment under DOTS were positive in Tianjin. Advanced age, male sex, HIV positivity, first sputum positivity, retreated tuberculosis, and a delayed visit (≥14 days) increased the risk for mortality during antituberculosis treatment.
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Affiliation(s)
- Yi Xie
- 1Department of Prevention, Haihe Hospital, Tianjin University, Tianjin, China
- 2Tianjin Key Laboratory of Lung Regenerative Medicine, Tianjin, China
| | - Jing Han
- 3Department of Medical Administration, Haihe Hospital, Tianjin University, Tianjin, China
| | - Weili Yu
- 1Department of Prevention, Haihe Hospital, Tianjin University, Tianjin, China
| | - Junping Wu
- 2Tianjin Key Laboratory of Lung Regenerative Medicine, Tianjin, China
- 4Department of Basic Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China
| | - Xue Li
- 2Tianjin Key Laboratory of Lung Regenerative Medicine, Tianjin, China
- 4Department of Basic Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China
| | - Huaiyong Chen
- 2Tianjin Key Laboratory of Lung Regenerative Medicine, Tianjin, China
- 4Department of Basic Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China
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Song WM, Li YF, Ma XB, Liu JY, Tao NN, Liu Y, Zhang QY, Xu TT, Li SJ, Yu CB, Gao L, Cui LL, Li HC. Primary drug resistance of mycobacterium tuberculosis in Shandong, China, 2004-2018. Respir Res 2019; 20:223. [PMID: 31627757 PMCID: PMC6798379 DOI: 10.1186/s12931-019-1199-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 09/25/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Primary drug-resistant tuberculosis (DR-TB) has contributed to a significant health and economic burden on a global scale, especially in China. we sought to estimate epidemiological characteristics of primary DR-TB in China from 2004 to 2018. METHODS Eleven thousand four hundred sixty-seven newly diagnosed and 1981 retreated TB cases with drug susceptibility data were included. Chi-Square test for trends, linear regression, a joinpoint regression model and temporal trend in proportions of the different resistance patterns were carried out. RESULTS The proportion of primary DR-TB and mono-resistant TB (MR-TB) in China had reduced by more than 12% since 2004, and were 21.38%, 13.35% in 2018 respectively. Among primary DR-TB cases (2173,18.95%), the percentage of multiresistant TB (MDR-TB, from 5.41 to 17.46%), male (from 77.03 to 84.13%), cavity (from 13.51 to 43.92%), rifampicin(RFP)-resistant TB (from 8.11 to 26.98%), streptomycin(SM)-resistant TB (from 50.00 to 71.43%) increased significantly (P < 0.05). On the contrary, the proportion of female, non-cavity, isoniazide(INH)-resistant TB (from 55.41 to 48.15%) and MR-TB (from 82.43 to 62.43%) decreased significant (P < 0.05). The primary drug resistance rate among female, cavity, smoking, drinking, 15 to 44 year-old TB subgroups increased by 0.16, 6.24, 20.95, 158.85, 31.49%, respectively. The percentage of primary DR-TB, RFP-resistant TB dropped significantly during 2004-2007 in Joinpoint regression model. CONCLUSION The total rate of drug resistance among new TB cases showed a downward trend in Shandong, China, from 2004 to 2018. Primary drug resistance patterns were shifting from female, non-cavity, INH-resistant TB, and MR-TB groups to male, cavity, RFP/SM-resistant TB, and MDR-TB groups. Considering the rising drug resistance rate among some special population, future control of primary DR-TB in China may require an increased focus on female, cavity, smoking, drinking, or 15 to 44 year-old TB subgroups.
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Affiliation(s)
- Wan-Mei Song
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.,Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yi-Fan Li
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China
| | - Xiao-Bin Ma
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China
| | - Jin-Yue Liu
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, 250200, Shandong, China
| | - Ning-Ning Tao
- Peking Union Medical College, Beijing, 100005, China
| | - Yao Liu
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China
| | - Qian-Yun Zhang
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.,Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Ting-Ting Xu
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China
| | - Shi-Jin Li
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.,Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Chun-Bao Yu
- Department of Respiratory Medicine, Shandong Provincial Chest Hospital, Jinan, 250013, Shandong, 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, 100730, China
| | - Liang-Liang Cui
- Department of Biostatistics, School of Public Health, Shandong University, Jinan, 250012, Shandong, China.,Jinan Municipal Center for Disease Control and Prevention, Jinan, 250021, Shandong, China
| | - Huai-Chen Li
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China. .,Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China.
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Savioli MTG, Morrone N, Santoro I. Primary bacillary resistance in multidrug-resistant tuberculosis and predictive factors associated with cure at a referral center in São Paulo, Brazil. J Bras Pneumol 2019; 45:e20180075. [PMID: 30864608 PMCID: PMC6733733 DOI: 10.1590/1806-3713/e20180075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 08/12/2018] [Indexed: 11/30/2022] Open
Abstract
Objective: To identify transmitted or primary resistance among cases of multidrug-resistant tuberculosis and predictive factors for cure in multidrug-resistant tuberculosis after the first treatment. Method: Descriptive study of a cohort from 2006 to 2010, in a reference unit of tuberculosis in São Paulo, Brazil. The data were obtained by the revision of medical records. Clinical criteria were used to classify transmitted and acquired resistance. Extended primary resistance was also defined, in this study, as cases initially treated with a standardized scheme, but with no therapeutic success, and the pre-treatment drug susceptibility test (DST) showed presence of resistance. Results: 156 patients with multidrug-resistant tuberculosis and their respective sputum samples were eligible for the study. Only 7% of the patients were positive for the human immunodeficiency virus (HIV). Previous treatment occurred in 95% of the sample. The cure rate after the first treatment was 54%. The median bacteriological conversion time of those who healed was one month. Bacillary resistance was considered acquired resistance in 100 (64%) and transmitted resistance in 56 (36%). By logistic regression, patients who presented primary multidrug-resistant tuberculosis (odds ratio-OR = 6,29), without comorbidity (OR = 3,37) and with higher initial weight (OR = 1.04) were associated with cure after the first treatment. Conclusion: The early detection of bacillary resistance and appropriate treatment are in favor of healing. Thus, it is crucial to know exactly the primary resistance rate avoiding the use of inadequate treatments, amplification of bacillary resistance and its transmission.
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Affiliation(s)
| | - Nelson Morrone
- . Hospital do Servidor Público Municipal, São Paulo (SP) Brasil
| | - Ilka Santoro
- . Universidade Federal de São Paulo, São Paulo (SP) Brasil
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Lee CY, Wu PH, Lu PL, Tsai HC. Changing Spectrum of Opportunistic Illnesses among HIV-Infected Taiwanese Patients in Response to a 10-Year National Anti-TB Programme. J Clin Med 2019; 8:jcm8020163. [PMID: 30717133 PMCID: PMC6406803 DOI: 10.3390/jcm8020163] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 01/18/2019] [Accepted: 01/22/2019] [Indexed: 12/17/2022] Open
Abstract
The current trends and spectrum of acquired immunodeficiency syndrome (AIDS)-related opportunistic illnesses (AOIs) among newly diagnosed human immunodeficiency virus (HIV)-infected patients after the implementation of the 2006–2015 national anti-tuberculosis (TB) programmes in Taiwan remain unknown. We retrospectively reviewed 1757 patients at two centres in southern Taiwan between 2001 and 2015. Based on the anti-TB programme, patients were classified into periods 1 (2001–2005), 2 (2006–2010), and 3 (2011–2015). We further analysed factors associated with Mycobacterium tuberculosis (MTB) at presentation and during follow-up. The overall AOI incidence rate (23.6%) remained unchanged across the periods, with 81.4% of AOIs occurring at presentation. Pneumocystis jirovecii pneumonia was the leading AOI across the periods. MTB declined significantly from period 1 to period 3 (39.3% vs. 9.3%). Age and CD4+ cell count <200 cells/µL (vs. ≥501) were the risk factors associated with MTB at presentation, whereas period 2/3 (vs. period 1) was the protective factor. Intravenous drug use (vs. homosexual contact) was the risk factor associated with MTB during follow-up, and period 3 (vs. period 1) was the protective factor. AOI statistics in Taiwan must be closely monitored for fluctuations. Although MTB decreased substantially after implementation of the anti-TB programmes, additional efforts to reduce MTB are required.
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Affiliation(s)
- Chun-Yuan Lee
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan.
- Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
- Center for Infectious Disease and Cancer Research (CICAR), Kaohsiung Medical University, Kaohsiung 807, Taiwan.
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
| | - Pei-Hua Wu
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan.
- Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
| | - Po-Liang Lu
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan.
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
- Department of Biological Science and Technology, College of Biological Science and Technology, National Chiao Tung University, Hsin Chu 30010, Taiwan.
- Department of Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan.
| | - Hung-Chin Tsai
- Division of Infectious Diseases, Department of Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan.
- Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei 11221, Taiwan.
- Department of Parasitology, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
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