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Analysis of epidemiological characteristics of extrapulmonary tuberculosis from South-Central China
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Objectives: This study aimed to investigate the epidemiological and drug resistance (DR) characteristics of extrapulmonary tuberculosis (EPTB) in South-Central China. Methods: EPTB inpatients who were culture-positive for Mycobacterium tuberculosis were retrospectively included in a study at a provincial TB hospital in Hunan, a province in South-Central China, from January 2013 to December 2021. Demographic, clinical, and drug susceptibility data were retrieved from TB treatment records. Descriptive statistical methods and a Chi-squared test were used to analyze the epidemiological and DR characteristics of EPTB patients. A logistic regression model was used to explore the risk factors of rifampicin-resistant/multidrug-resistant (RR/MDR)-EPTB. Results: A total of 1,324 cases were included. The majority of EPTB patients were in the age range of 20–29 years, were predominantly men (male-to-female ratio: 2.03), and were farmers (65.63%). Most EPTB cases were found in 2013 and 2017 from 2013 to 2021. The most prevalent subtypes of EPTB were lymphatic TB (29.83%, 395/1,324), multiple EPTB (20.85%, 276/1,324), and musculoskeletal TB (14.65%, 194/1,324). Musculoskeletal TB and genitourinary TB predominantly presented as exclusive EPTB forms, while lymphatic TB and pharyngeal/laryngeal TB often co-occurred with pulmonary TB (PTB). Drug susceptibility testing results showed that total DR rates (resistance to any of RFP, isoniazid [INH], streptomycin [STR], and/or ethambutol [EMB]) and RR/MDR rates in EPTB were 25.23% and 12.39%, respectively. Musculoskeletal TB exhibited the highest rates of total DR (31.40%), INH resistance (28.90%), STR resistance (20.10%), EMB resistance (6.20%), MDR (13.90%), and poly-DR (6.70%). The multivariable logistic regression model showed that patients aged from 20 to 59 years (compared to those aged 10 years), workers (compared to retirees), and EPTB patients from the south and west of Hunan (compared to those from the east of Hunan) were at an increased risk of developing RR/MDR EPTB (all OR values > 1). Conclusion: Our study provided a detailed account of the epidemiological and DR characteristics of EPTB in Hunan province, China. The significant DR rates, particularly in musculoskeletal TB cases, highlight the need for timely diagnosis, effective drug susceptibility testing, and the development of more effective treatment regimens for EPTB, especially targeting musculoskeletal TB treatments.
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![Figure 6 Drug resistance comparisons between different subtypes of extrapulmonary tuberculosis. (1) STR resistance; (2) INH resistance; (3) RFP resistance; (4) EMB resistance; (5) MDR; (6) Total DR; (7) mono-DR; (8) poly-DR (*with a line means that the drug resistance rates between two groups were significantly different by one-by-one comparison [Bonferroni test]. * and ** after the subtitles means the resistance differences were statistically significant between/among groups, *means P < 0.05, **means P < 0.01. TB, tuberculosis; EPTB, extrapulmonary tuberculosis; STR, streptomycin; INH, isoniazid; RFP, rifampicin; EMB, ethambutol; MDR, multidrug resistance; total DR, total drug resistance, and it means that the isolates were resistant to any of RFP, INH, EMB, and/or STR. Multiple EPTB means that patients have more than one subtype of EPTB, not limited to the specific subtypes listed in this figure. Other EPTB means that patients did not have the specific subtypes of EPTB listed in this figure).](/paper-figures/fddfcf2b73e64c159b6b0da2e6802cc4/analysis-of-epidemiological-characteristics-of-extrapulmonary-tuberculosis-from-figure-6.jpg)
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“The results of a meta-analysis showed that EPTB represents almost 15% of TB cases, and approximately 10–35% of cases can be found in the head and neck region, most frequently in lymph nodes (87.9%), the other most common location being the larynx [23,26,27].”
From Head and Neck Tuberculosis: A Rare Diagnosis and the Role of Surgical Biopsy and Histopathological Evaluation in Extrapulmonary Disease (2025) · cites this paper as [27]
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Cites
National survey of drug-resistant tuberculosis in China.
Zhao, Y.-L., Xu, S., Wang, L.-X., Chin, D., Wang, S.-F., Jiang, G., Xia, H., Zhou, Y., Li, Q., Ou, X.-C., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1108789 · Cited by 637
Extrapulmonary Tuberculosis: Pathophysiology and Imaging Findings
Rodriguez-Takeuchi, S. Y., Renjifo, M. E., & Medina, F. J. (2019) · Radiographics · doi:10.1148/rg.2019190109 · Cited by 328
Epidemiology of Extrapulmonary Tuberculosis among Inpatients, China, 2008–2017
Pang, Y., An, J., Shu, W., Huo, F., Chu, N., Gao, M., Qin, S., Huang, H., Chen, X., & Xu, S. (2019) · Emerging infectious diseases · doi:10.3201/eid2503.180572 · Cited by 285
Kang, W., Yu, J., Du, J., Yang, S., Chen, H., Liu, J., Ma, J., Li, M., Qin, J., Shu, W., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237753 · Cited by 117
Self-citationThe impact of the COVID-19 epidemic on tuberculosis control in China
Huang, F., Xia, Y., Chen, H., Wang, N., Du, X., Chen, W., Li, T., Shitong, H., Sun, M., Mingting, C., et al. (2020) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2020.100032 · Cited by 115
Extrapulmonary tuberculosis in China: a national survey
Li, T., Yan, X., Du, X., Huang, F., Wang, N., Ni, N., Ren, J., Zhao, Y., & Jia, Z. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.12.005 · Cited by 86
Liu, B., Shen, M., Xiong, J., Yuan, Y., Wu, X., Gao, X., Xu, J., Guo, F. H., & Jian, X. (2015) · Oral Surgery Oral Medicine Oral Pathology and Oral Radiology · doi:10.1016/j.oooo.2015.04.013 · Cited by 66
Self-citationExtra-pulmonary tuberculosis in Saudi Arabia
Alotaibi, F. E., & Hazmi, M. E. (2010) · Indian Journal of Pathology and Microbiology · doi:10.4103/0377-4929.64327 · Cited by 58
Ding, P., Li, X., Jia, Z., & Lu, Z. (2017) · BMC Infectious Diseases · doi:10.1186/s12879-016-2151-5 · Cited by 58
Güler, S., Bozkuş, F., İnci, M. F., Kökoğlu, Ö. F., Uçmak, H., Özden, S., & Yüksel, M. (2014) · Medical Principles and Practice · doi:10.1159/000365511 · Cited by 55
Betel‐quid and oral submucous fibrosis: a cross‐sectional study in Hunan province, China
Zhang, S., Li, W., Gao, Y., Liu, Z., Liu, L., Tang, J., & Ling, T. (2012) · Journal of Oral Pathology and Medicine · doi:10.1111/j.1600-0714.2012.01166.x · Cited by 52
Self-citationOral microbiota alteration associated with oral cancer and areca chewing
Zhong, X., Lu, Q., Zhang, Q., He, Y., Wei, W., & Wang, Y. (2020) · Oral Diseases · doi:10.1111/odi.13545 · Cited by 46
Zhao, L., Chen, Y., Chen, Z.-N., Liu, H., Hu, P.-L., Sun, Q., Zhao, X.-Q., Jiang, Y., Li, G., Tan, Y., et al. (2014) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.02426-14 · Cited by 44
Self-citationChu, P., Chang, Y. H., Zhang, X., Han, S., Jin, Y., Yu, Y., Yang, Y., Feng, G., Wang, X., Shen, Y., et al. (2022) · Emerging Microbes & Infections · doi:10.1080/22221751.2022.2054367 · Cited by 42
Self-citationTrend Analysis of Betel Nut-associated Oral Cancer and Health Burden in China.
Hu, Y. J., Chen, J., Zhong, W., Ling, T., Jian, X., Lu, R. H., Tang, Z. G., & Tao, L. (2017) · PubMed · doi:10.3290/j.cjdr.a38271 · Cited by 36
Li, T., Shewade, H. D., Soe, K. T., Rainey, J. J., Zhang, H., Du, X., & Wang, L. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-021529 · Cited by 35
Quiroga, W. A. A., & Orjuela, D. L. (2006) · Biomédica · doi:10.7705/biomedica.v26i1.1396 · Cited by 32
Yong, F., Zhou, Q., Li, L., Zhou, Y., & Sha, W. (2022) · Epidemiology and Infection · doi:10.1017/s0950268822001236 · Cited by 32
Hu, Y., Zhong, R., Li, H., & Zou, Y. (2020) · Substance Use & Misuse · doi:10.1080/10826084.2020.1750031 · Cited by 28
Niu, T., He, F., Yang, J., Ma, C., Xu, J., Sun, T., Zhang, X., Chen, S., & Ru, C. (2023) · BMC Infectious Diseases · doi:10.1186/s12879-023-08410-w · Cited by 23
Wang, Z., Hou, Y., Guo, T., Jiang, T., Xu, L., Hu, H., Zhao, Z., & Xue, Y. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1117101 · Cited by 22
Extrapulmonary Tuberculosis in Federation of Bosnia and Herzegovina
Čukić, V., & Ustamujić, A. (2018) · Materia Socio Medica · doi:10.5455/msm.2018.30.153-156 · Cited by 20
Extrapulmonary Tuberculosis in Poland in the Years 1974–2010
Rowinska-Zakrzewska, E., Korzeniewska-Koseła, M., & Roszkowski‐Śliż, K. (2013) · Advances in respiratory medicine · doi:10.5603/arm.27513 · Cited by 17
Research works printed but not linked: 4
- 2023
- 2020
- Cao, 2013, The analysis of clinical characteristics on 683 cases with extrapulmonary tuberculosis, Nat Med Front China, 8, 29, 10.3969/j.issn.1673-5552.2013.09.0015 · DOI
- 2012 Updated Critical Concentrations for First-Line and Second-Line DST (as of May 2012).
Cited by
Sex as a Biological Variable in Tuberculosis Pathogenesis
Gupta, M., Klein, S. L., & Bishai, W. R. (2026) · Immunological Reviews · doi:10.1111/imr.70116 · Cited by 3
Mogoantă, C. A., Osman, A., Georgescu, A.-M., Mitroi, A. M., Busuioc, C. I., Tănase, I., Cioboată, R., Liliac, I. M., Cimpeanu, O. L., & Ciolofan, M. S. (2025) · Pathogens · doi:10.3390/pathogens14050479 · Cited by 2
“The results of a meta-analysis showed that EPTB represents almost 15% of TB cases, and approximately 10–35% of cases can be found in the head and neck region, most frequently in lymph nodes (87.9%), the other most common location being the larynx [23,26,27].”
InfluentialLiu, Y., Wang, X., Peng, X., Lu, L., Yang, H., Feng, G., Guo, Y., Fan, J., & Lu, J. L. (2025) · BMC Infectious Diseases · doi:10.1186/s12879-025-11571-5 · Cited by 2
Common comorbidities among tuberculosis patients in Western Sudan during the Sudan armed conflict
Mohammed, A. K. Y., Humida, E. H. M., Ali, A. M. O., & Ahmed, H. G. (2025) · Kordofan Journal of Medical & Health Sciences · doi:10.70946//kjmhs.2.0142025 · Cited by 1
Epidemiology of drug–resistant tuberculosis in Hunan China over a 10–year period
Liu, Y., Wang, J., Wan, X., Peng, W., Guo, J., Yang, X., Zhou, D., Li, W., Duan, J., Zeng, X., et al. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1771140 · Cited by 1
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Metadata
- Authors
- Yu, Y., Xiang, Y., Liu, H., Yang, S., Li, M., Liu, B., Xu, D., Wu, Y., Li, W., Fang, T., Li, J., Xu, D., Wan, K., Tan, Y., Yuan, X., & Li, G.
- Affiliations
- Central South University (CN)
- Chinese Center For Disease Control and Prevention (CN)
- Hunan Province Chest Hospital (CN)
- University of South China (CN)
- Corresponding author
- Yuan, Xiuqin
- Li, Guilian
- Venue
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Published
- 2024-07-17
- Volume
- 12
- Pages
- 1405358-1405358
- ISSN
- 2296-2565 (ISSN-L)
- PMC
- PMC11288871
- OpenAlex
- W4400746139
- Cited by
- 11
- References
- 23
- Citations by year
- 2026: 8 · 2025: 3
- FWCI
- 3.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Chinese Center for Disease Control and Prevention
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Health Sciences › Medicine › Infectious Diseases › Diagnosis and treatment of tuberculosis
- Health Sciences › Medicine › Infectious Diseases › Infectious Diseases and Tuberculosis
- Keywords
- extrapulmonary tuberculosis, Mycobacterium tuberculosis, drug resistance, multidrug-resistant tuberculosis, rifampicin resistance, tuberculous lymphadenitis, musculoskeletal tuberculosis, urogenital tuberculosis, risk factors, isoniazid resistance, streptomycin resistance, ethambutol resistance, south-central China, Hunan Province
- MeSH terms
- Tuberculosis, Extrapulmonary, Adolescent, Adult, Antitubercular Agents, Child, China, Female, Humans, Male, Microbial Sensitivity Tests, Middle Aged, Mycobacterium tuberculosis, Retrospective Studies, Rifampin, Risk Factors, Tuberculosis, Multidrug-Resistant, Young Adult
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