1
|
Du WL, Liang JQ, Yang XT, Li CJ, Wang QF, Han WG, Li Y, Li ZH, Zhao DM, Xu FD, Rong YX, Cui XJ, Li HM, Wang F, Liu PC, Guo DL, Wang HB, Xing XY, Che JL, Liu ZC, Zhang NN, Li K, Liu Y, Wang L, Wang HB, Che NY. Accuracy of cell-free Mycobacterium tuberculosis DNA testing in pleural effusion for diagnosing tuberculous pleurisy: a multicenter cross-sectional study. Mil Med Res 2024; 11:60. [PMID: 39169415 PMCID: PMC11340177 DOI: 10.1186/s40779-024-00567-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 08/09/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND The diagnosis of tuberculous pleurisy (TP) presents a significant challenge due to the low bacterial load in pleural effusion (PE) samples. Cell-free Mycobacterium tuberculosis DNA (cf-TB) in PE samples is considered an optimal biomarker for diagnosing TP. This study aimed to evaluate the applicability of cf-TB testing across diverse research sites with a relatively large sample size. METHODS Patients suspected of TP and presenting with clinical symptoms and radiological evidence of PE were consecutively enrolled by treating physicians from 11 research sites across 6 provinces in China between April 2020 and August 2022. Following centrifugation, sediments obtained from PE were used for Xpert MTB/RIF (Xpert) and mycobacterial culture, while the supernatants were subjected to cf-TB testing. This study employed a composite reference standard to definite TP, which was characterized by any positive result for Mycobacterium tuberculosis (MTB) through either PE culture, PE Xpert, or pleural biopsy. RESULTS A total of 1412 participants underwent screening, and 1344 (95.2%) were subsequently enrolled in this study. Data from 1241 (92.3%) participants were included, comprising 284 with definite TP, 677 with clinically diagnosed TP, and 280 without TP. The sensitivity of cf-TB testing in definite TP was 73.6% (95% CI 68.2-78.4), significantly higher than both Xpert (40.8%, 95% CI 35.3-46.7, P < 0.001) and mycobacterial culture (54.2%, 95% CI 48.4-59.9, P < 0.001). When clinically diagnosed TP was incorporated into the composite reference standard for sensitivity analysis, cf-TB testing showed a sensitivity of 46.8% (450/961, 95% CI 43.7-50.0), significantly higher than both Xpert (116/961, 12.1%, 95% CI 10.2-14.3, P < 0.001) and mycobacterial culture (154/961, 16.0%, 95% CI 13.8-18.5, P < 0.001). The specificities of cf-TB testing, Xpert, and mycobacterial culture were all 100.0%. CONCLUSIONS The performance of cf-TB testing is significantly superior to that of Xpert and mycobacterial culture methods, indicating that it can be considered as the primary diagnostic approach for improving TP detection. Trial registration The trial was registered on Chictr.org.cn (ChiCTR2000031680, https://www.chictr.org.cn/showproj.html?proj=49316 ).
Collapse
Affiliation(s)
- Wei-Li Du
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Jian-Qin Liang
- Senior Department of Tuberculosis, the Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, China
| | - Xin-Ting Yang
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Cheng-Jun Li
- Department of Tuberculosis, Shenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, 110044, China
| | - Qing-Feng Wang
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Wen-Ge Han
- Department of Tuberculosis, Second People's Hospital of Weifang, WeifangShandong, 261041, China
| | - Ye Li
- Tuberculosis Department I, Anhui Chest Hospital, Anhui, 230022, China
| | - Zhi-Hui Li
- Department of Tuberculosis, Hebei Chest Hospital, Shijiazhuang, 050041, China
| | - Dong-Mei Zhao
- Department of Tuberculosis, the Infectious Disease Hospital of Heilongjiang Province, Harbin, 150500, China
| | - Fu-Dong Xu
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Yan-Xiao Rong
- Department of Tuberculosis, the Fifth Hospital of Shijiazhuang, Shijiazhuang, 050021, China
| | - Xiao-Jing Cui
- Department of Pulmonary and Critical Care Medicine, China Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100029, China
| | - Hui-Min Li
- Department of Respiratory Medicine, National Clinical Research Center of Respiratory Disease, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China
| | - Feng Wang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Peng-Chong Liu
- Department of Tuberculosis, Hebei Chest Hospital, Shijiazhuang, 050041, China
| | - Dong-Lin Guo
- Senior Department of Tuberculosis, the Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, China
| | - Hai-Bin Wang
- Department of Tuberculosis, the Fifth Hospital of Shijiazhuang, Shijiazhuang, 050021, China
| | - Xu-Ya Xing
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Jia-Lu Che
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Zi-Chen Liu
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Na-Na Zhang
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Kun Li
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Yi Liu
- Biobank of Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Li Wang
- Beijing Western Medical Branch of PLA General Hospital, Beijing, 100091, China
| | - Hai-Bo Wang
- Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China.
| | - Nan-Ying Che
- Department of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China.
| |
Collapse
|
3
|
Zhou Y, Luo D, Liu K, Chen B, Chen S, Pan J, Liu Z, Jiang J. Trend of the Tuberculous Pleurisy Notification Rate in Eastern China During 2017-2021: Spatiotemporal Analysis. JMIR Public Health Surveill 2023; 9:e49859. [PMID: 37902822 PMCID: PMC10644181 DOI: 10.2196/49859] [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: 06/12/2023] [Revised: 08/31/2023] [Accepted: 09/19/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Tuberculous pleurisy (TP) presents a serious allergic reaction in the pleura caused by Mycobacterium tuberculosis; however, few studies have described its spatial epidemiological characteristics in eastern China. OBJECTIVE This study aimed to determine the epidemiological distribution of TP and predict its further development in Zhejiang Province. METHODS Data on all notified cases of TP in Zhejiang Province, China, from 2017 to 2021 were collected from the existing tuberculosis information management system. Analyses, including spatial autocorrelation and spatial-temporal scan analysis, were performed to identify hot spots and clusters, respectively. The prediction of TP prevalence was performed using the seasonal autoregressive integrated moving average (SARIMA), Holt-Winters exponential smoothing, and Prophet models using R (The R Foundation) and Python (Python Software Foundation). RESULTS The average notification rate of TP in Zhejiang Province was 7.06 cases per 100,000 population, peaking in the summer. The male-to-female ratio was 2.18:1. In terms of geographical distribution, clusters of cases were observed in the western part of Zhejiang Province, including parts of Hangzhou, Quzhou, Jinhua, Lishui, Wenzhou, and Taizhou city. Spatial-temporal analysis identified 1 most likely cluster and 4 secondary clusters. The Holt-Winters model outperformed the SARIMA and Prophet models in predicting the trend in TP prevalence. CONCLUSIONS The western region of Zhejiang Province had the highest risk of TP. Comprehensive interventions, such as chest x-ray screening and symptom screening, should be reinforced to improve early identification. Additionally, a more systematic assessment of the prevalence trend of TP should include more predictors.
Collapse
Affiliation(s)
- Ying Zhou
- School of Public Health, Hangzhou Normal University, Hangzhou, China
| | - Dan Luo
- School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Kui Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- National Centre for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bin Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Songhua Chen
- 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
| | - Zhengwei Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jianmin Jiang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| |
Collapse
|