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Wei X, Xie M, Wu S, Bao Y. The clinical features and prognostic factors of miliary tuberculosis in a high tuberculosis burden area. Ann Med 2024; 56:2356647. [PMID: 38848041 PMCID: PMC11164057 DOI: 10.1080/07853890.2024.2356647] [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: 03/27/2024] [Accepted: 04/26/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Miliary Tuberculosis (TB) remains an important infectious disease that threatens human health. The clinical characteristics and prognostic factors of miliary TB are summarized in this study. METHODS The clinical information of miliary TB patients between 2010 and 2022 was retrospectively analyzed. Patients with miliary TB were characterized and compared to adverse outcomes cases. Factors independently associated with adverse outcomes were determined via multivariate logistic regression analysis. RESULTS A total of 288 patients were analyzed, including 181 with adverse outcomes. The clinical manifestations are atypical. 88.54% Of them experienced systemic symptoms, whilst 69.79% manifested respiratory symptoms. 40.97% Presented with neurologic symptoms, while 35.07% reported gastrointestinal symptoms. The major comorbidities were pharmacological immunosuppression (21.53%), pneumoconiosis (15.28%), diabetes (10.76%), and pregnancy or postpartum (7.29%). Regarding microbiology, most patients were diagnosed via sputum or Bronchoalveolar Lavage Fluid (BALF), pleural effusion, ascites, cerebrospinal fluid, urine TB-DNA, and tuberculosis culture. Meanwhile, 2.43% of patients were diagnosed via cerebrospinal fluid NGS. Independent risk factors predictive of adverse outcomes were current smoking, leukocytosis, elevated alanine aminotransferase (ALT) levels, and the combination of lymphopenia with bone marrow tuberculosis or tuberculous lymphadenitis. The accuracy of the model was validated by an area under the ROC curve of 0.753 (95% IC 0.697-0.810). CONCLUSIONS The clinical manifestations of miliary TB are atypical, and early diagnosis is challenging. The major comorbidities in miliary TB patients were pharmacological immunosuppression, pneumoconiosis, diabetes, pregnancy, and postpartum. Regarding etiological detection, multi-site and multi-type specimens should be collected for a timely diagnosis. Cerebrospinal fluid mNGS test may be a viable choice in some cases. Finally, current smoking, leukocytosis, elevated ALT levels, and the combination of lymphopenia with bone marrow tuberculosis or tuberculous lymphadenitis were identified as independent risk factors for adverse outcomes.
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Affiliation(s)
- Xiaolin Wei
- Department of Respiratory, Sichuan Taikang Hospital, Chengdu, Sichuan, P. R. China
| | - Min Xie
- Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Suji Wu
- Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Yong Bao
- Department of Respiratory, Sichuan Taikang Hospital, Chengdu, Sichuan, P. R. China
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Liu Y, Fang M, Yuan C, Yang Y, Yu L, Li Y, Hu L, Li J. Combining interferon-γ release assays and metagenomic next-generation sequencing for diagnosis of pulmonary tuberculosis: a retrospective study. BMC Infect Dis 2024; 24:1316. [PMID: 39558256 PMCID: PMC11575000 DOI: 10.1186/s12879-024-10206-5] [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: 06/24/2024] [Accepted: 11/11/2024] [Indexed: 11/20/2024] Open
Abstract
BACKGROUND Rapid diagnosis of pulmonary tuberculosis (PTB) is urgently needed. We aimed to improve diagnosis rates by combining tuberculosis-interferon (IFN)-γ release assays (TB-IGRA) with metagenomic next-generation sequencing (mNGS) for PTB diagnosis. METHODS A retrospective study of 29 PTB and 32 non-TB patients from our hospital was conducted between October 2022 and June 2023. Samples were processed for TB-IGRA and mNGS tests according to the manufacturer's protocol. RESULTS The levels of IFN-γ release in PTB patients were significantly higher than those in non-TB patients (604.15 ± 112.18 pg/mL, and 1.04 ± 0.38 pg/mL, respectively; p < 0.0001). Regarding presenting symptoms or signs, cough and thoracalgia were less common in PTB patients than in non-TB patients (p = 0.001 and p = 0.024, respectively). Total protein and albumin levels in the sera of PTB patients were significantly elevated compared to non-TB patients (p = 0.039 and p = 0.004, respectively). The area under the ROC curve (AUC) for TB-IGRA in PTB diagnosis was 0.939. With an optimal IFN-γ cut-off value of 14.3 pg/mL (Youden's index 0.831), sensitivity was 86.2% and specificity was 96.9%. ROC curve analysis for mNGS and TB-IGRA combined with mNGS showed AUCs of 0.879 and 1, respectively. The AUC of TB-IGRA combined with mNGS was higher than that of TB-IGRA and mNGS alone. CONCLUSIONS TB-IGRA combined with mNGS may be an effective method for diagnosing tuberculosis, and can be used in the clinical diagnosis of PTB.
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Affiliation(s)
- Yanyan Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
- Anhui Province Key Laboratory of Infectious Diseases, Anhui Medical University, Hefei, China.
- Institute of Bacterial Resistance, Anhui Medical University, Hefei, China.
- Anhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Miaohong Fang
- Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Chenxi Yuan
- Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yi Yang
- Anhui Province Key Laboratory of Infectious Diseases, Anhui Medical University, Hefei, China
- Institute of Bacterial Resistance, Anhui Medical University, Hefei, China
- Anhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Liang Yu
- Anhui Province Key Laboratory of Infectious Diseases, Anhui Medical University, Hefei, China
- Institute of Bacterial Resistance, Anhui Medical University, Hefei, China
- Anhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yasheng Li
- Anhui Province Key Laboratory of Infectious Diseases, Anhui Medical University, Hefei, China
- Institute of Bacterial Resistance, Anhui Medical University, Hefei, China
- Anhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lifen Hu
- Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Infectious Diseases, Anhui Medical University, Hefei, China
- Institute of Bacterial Resistance, Anhui Medical University, Hefei, China
- Anhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jiabin Li
- Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
- Anhui Province Key Laboratory of Infectious Diseases, Anhui Medical University, Hefei, China.
- Institute of Bacterial Resistance, Anhui Medical University, Hefei, China.
- Anhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
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Zhou L, Zou X, Yong Y, Hu Q. Using cerebrospinal fluid nanopore sequencing assay to diagnose tuberculous meningitis: a retrospective cohort study in China. BMJ Open 2024; 14:e080904. [PMID: 38862231 PMCID: PMC11168130 DOI: 10.1136/bmjopen-2023-080904] [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: 10/13/2023] [Accepted: 04/30/2024] [Indexed: 06/13/2024] Open
Abstract
OBJECTIVE This study aimed to evaluate the efficiency of nanopore sequencing for the early diagnosis of tuberculous meningitis (TBM) using cerebrospinal fluid and compared it with acid-fast bacilli (AFB) smear, mycobacterial growth indicator tube culture and Xpert Mycobacterium tuberculosis (MTB)/rifampicin (RIF). DESIGN Single-centre retrospective study. SETTING The Tuberculosis Diagnosis and Treatment Center of Zhejiang Chinese and Western Medicine Integrated Hospital. PARTICIPANTS We enrolled 64 adult patients with presumptive TBM admitted to our hospital from August 2021 to August 2023. METHODS We calculated the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of AFB smear, culture, Xpert MTB/RIF and nanopore sequencing to evaluate their diagnostic efficacy compared with a composite reference standard for TBM. RESULTS Among these 64 patients, all tested negative for TBM by AFB smear. The sensitivity, specificity, PPV and NPV were 11.11%, 100%, 100% and 32.2% for culture, 13.33%, 100%, 100% and 2.76% for Xpert MTB/RIF, and 77.78%, 100%, 100% and 65.52% for nanopore sequencing, respectively. CONCLUSION The diagnostic accuracy of the nanopore sequencing test was significantly higher than that of conventional testing methods used to detect TBM.
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Affiliation(s)
- Lihong Zhou
- Tuberculosis Diagnosis and Treatment Center, Integrated Traditional Chinese and Western Medicine Hospital of Zhejiang Province, Hangzhou, China
| | - Xingwu Zou
- Tuberculosis Diagnosis and Treatment Center, Integrated Traditional Chinese and Western Medicine Hospital of Zhejiang Province, Hangzhou, China
| | - Yan Yong
- Tuberculosis Diagnosis and Treatment Center, Integrated Traditional Chinese and Western Medicine Hospital of Zhejiang Province, Hangzhou, China
| | - Qin Hu
- Tuberculosis Diagnosis and Treatment Center, Integrated Traditional Chinese and Western Medicine Hospital of Zhejiang Province, Hangzhou, China
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Pelt CE, Shakir S, Cahill MJ, Pupaibool J, Cahill BC. Delayed Diagnosis of Mycobacteriumbovisbacillus Calmette-Guérin Periprosthetic Joint Infection Following Total Knee Arthroplasty. Arthroplast Today 2024; 27:101350. [PMID: 38533423 PMCID: PMC10963199 DOI: 10.1016/j.artd.2024.101350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/01/2024] [Accepted: 02/10/2024] [Indexed: 03/28/2024] Open
Abstract
Periprosthetic joint infection (PJI) can present challenges in diagnosis and treatment, particularly in the setting of atypical causative organisms such as fungi and mycobacteria. Herein, we present a case and provide a review of the diagnosis and treatment of an unusual PJI caused by bacillus Calmette-Guérin, administered during the treatment of bladder cancer 3 years prior to total knee arthroplasty and subsequent PJI. Although the patient's history of bladder cancer was known, neither his Bacillus Calmette-Guérin treatment nor its potential for distant site spread that could lead to PJI were appreciated, leading to a prolonged diagnostic evaluation and treatment course.
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Affiliation(s)
- Christopher E. Pelt
- Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA
| | - Salika Shakir
- ARUP Laboratories, Salt Lake City, UT, USA
- Division of Infectious Diseases, University of Utah, Salt Lake City, UT, USA
- Department of Pathology, University of Utah, Salt Lake City, UT, USA
| | - Michael J. Cahill
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Jakrapun Pupaibool
- Division of Infectious Diseases, University of Utah, Salt Lake City, UT, USA
| | - Barbara C. Cahill
- Division of Pulmonary and Critical Care Medicine, University of Utah, Salt Lake City, UT, USA
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Downie DL, Rao P, David-Ferdon C, Courtney S, Lee JS, Kugley S, MacDonald PDM, Barnes K, Fisher S, Andreadis JL, Chaitram J, Mauldin MR, Salerno RM, Schiffer J, Gundlapalli AV. Literature Review of Pathogen Agnostic Molecular Testing of Clinical Specimens From Difficult-to-Diagnose Patients: Implications for Public Health. Health Secur 2024; 22:93-107. [PMID: 38608237 PMCID: PMC11044852 DOI: 10.1089/hs.2023.0100] [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: 05/22/2023] [Revised: 08/15/2023] [Accepted: 08/15/2023] [Indexed: 04/14/2024] Open
Abstract
To better identify emerging or reemerging pathogens in patients with difficult-to-diagnose infections, it is important to improve access to advanced molecular testing methods. This is particularly relevant for cases where conventional microbiologic testing has been unable to detect the pathogen and the patient's specimens test negative. To assess the availability and utility of such testing for human clinical specimens, a literature review of published biomedical literature was conducted. From a corpus of more than 4,000 articles, a set of 34 reports was reviewed in detail for data on where the testing was being performed, types of clinical specimens tested, pathogen agnostic techniques and methods used, and results in terms of potential pathogens identified. This review assessed the frequency of advanced molecular testing, such as metagenomic next generation sequencing that has been applied to clinical specimens for supporting clinicians in caring for difficult-to-diagnose patients. Specimen types tested were from cerebrospinal fluid, respiratory secretions, and other body tissues and fluids. Publications included case reports and series, and there were several that involved clinical trials, surveillance studies, research programs, or outbreak situations. Testing identified both known human pathogens (sometimes in new sites) and previously unknown human pathogens. During this review, there were no apparent coordinated efforts identified to develop regional or national reports on emerging or reemerging pathogens. Therefore, development of a coordinated sentinel surveillance system that applies advanced molecular methods to clinical specimens which are negative by conventional microbiological diagnostic testing would provide a foundation for systematic characterization of emerging and underdiagnosed pathogens and contribute to national biodefense strategy goals.
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Affiliation(s)
- Diane L. Downie
- Diane L. Downie, PhD, MPH, is Deputy Associate Director for Science, Office of Readiness and Response; at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Preetika Rao
- Preetika Rao, MPH, is a Health Scientist; at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Corinne David-Ferdon
- Corinne David-Ferdon, PhD, is Associate Director of Science, Office of Public Health Data, Surveillance, and Technology; at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Sean Courtney
- Sean Courtney, PhD, is a Health Scientist, at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Justin S. Lee
- Justin Lee, DVM, PhD, is a Health Scientist, Division of Global Health Protection; at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Shannon Kugley
- Shannon Kugley, MLIS, is a Research Public Health Analyst; in Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
| | - Pia D. M. MacDonald
- Pia D. M. MacDonald, PhD, MPH, is a Senior Infectious Disease Epidemiologist; in Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
| | - Keegan Barnes
- Keegan Barnes is a Public Health Analyst; in Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
| | - Shelby Fisher
- Shelby Fisher, MPH, is an Epidemiologist; in Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
| | - Joanne L. Andreadis
- Joanne L. Andreadis, PhD, is Associate Director for Science, at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Jasmine Chaitram
- Jasmine Chaitram, MPH, is Branch Chief, at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Matthew R. Mauldin
- Matthew R. Mauldin, PhD, is Health Scientists, Office of Readiness and Response; at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Reynolds M. Salerno
- Reynolds M. Salerno, PhD, is Director, Division of Laboratory Systems; at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Jarad Schiffer
- Jarad Schiffer, MS, is Health Scientists, Office of Readiness and Response; at the US Centers for Disease Control and Prevention, Atlanta, GA
| | - Adi V. Gundlapalli
- Adi V. Gundlapalli, MD, PhD, is a Senior Advisor, Data Readiness and Response, Office of Public Health Data, Surveillance, and Technology; at the US Centers for Disease Control and Prevention, Atlanta, GA
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Li Z, Wang J, Xiu X, Shi Z, Zhang Q, Chen D. Evaluation of different diagnostic methods for spinal tuberculosis infection. BMC Infect Dis 2023; 23:695. [PMID: 37853312 PMCID: PMC10583401 DOI: 10.1186/s12879-023-08655-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 09/27/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND AND PURPOSE Tuberculosis (TB) is the most fatal infectious disease worldwide. Approximately 24.6% of tuberculosis cases are extrapulmonary and predominantly affect the spine. It is difficult to diagnose spinal TB (STB). We aimed to evaluate the diagnostic performance of the Mycobacteria Growth Indicator Tube (MGIT)-960 culture, T-SPOT.TB, Xpert Mycobacterium tuberculosis complex (MTB)/resistance to rifampin (RIF), and Metagenomic Next-Generation Sequencing (mNGS) to detect STB. METHODS We assessed 126 patients presumed to have STB using these four methods. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated using clinical diagnosis as a reference. RESULTS Of the patients, 41 were diagnosed with STB and 85 with non-STB. In the STB group, the sensitivity, specificity, PPV, and NPV of the MGIT-960 culture were 29.3% (12/41), 100% (85/85), 100% (12/12), and 74.6% (85/114), respectively. The sensitivity, specificity, PPV, and NPV of T-SPOT.TB were 92.7% (38/41), 82.4% (70/85), 58.5% (31/53), and 95.9% (70/73), respectively. The sensitivity, specificity, PPV, and NPV of the Xpert MTB/RIF assay were 53.7% (22/41), 100% (85/85), 100% (22/22), and 81.7% (85/104), respectively. The sensitivity, specificity, PPV, and NPV of mNGS were 39.0% (16/41), 98.8% (84/85), 94.1% (16/17), and 77.1% (84/109), respectively. The sensitivity, specificity, PPV, and NPV of mNGS + Xpert MTB/RIF were 73.2% (30/41), 100% (85/85), 96.8% (30/31), and 72.0% (85/118), respectively. The sensitivity, specificity, PPV, and NPV of the mNGS + T-spot assay were 97.6% (40/41), 100% (85/85), 67.9% (38/56), and 75.9% (85/113), respectively. Moreover, the sensitivity, specificity, PPV, and NPV of T-spot + Xpert MTB/RIF were 95.1% (39/41), 100% (85/85), 72.2% (39/54), and 81.0% (85/105), respectively. CONCLUSIONS T-SPOT.TB is the most effective method for diagnosing STB; however, Xpert MTB/RIF is more reliable and can detect RIF resistance. Clinicians can use mNGS to identify pathogens in patients with spinal infections; these pathogens appeared to be more meaningful in guiding the clinical management of patients in the non-STB group. The combination of Xpert MTB/RIF and mNGS can improve the early diagnosis rate and drug resistance detection, reduce the diagnostic cycle, and provide early targeted anti-TB treatment for patients with STB.
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Affiliation(s)
- Zhaoxin Li
- Shandong University of Traditional Chinese Medicine, Shandong, China
| | - Jin Wang
- Shandong University of Traditional Chinese Medicine, Shandong, China
| | - Xin Xiu
- Shandong University of Traditional Chinese Medicine, Shandong, China
| | - Zhenpeng Shi
- Shandong University of Traditional Chinese Medicine, Shandong, China
| | - Qiang Zhang
- Department of Orthopedics, Shandong Public Health Clinical Center, Shandong, China.
| | - Deqiang Chen
- Shandong University of Traditional Chinese Medicine, Shandong, China.
- Department of Spinal Orthopedics, Shandong Provincial Hospital of Traditional Chinese Medicine, Shandong, China.
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Xiang ZB, Leng EL, Cao WF, Liu SM, Zhou YL, Luo CQ, Hu F, Wen A. A systematic review and meta-analysis of the diagnostic accuracy of metagenomic next-generation sequencing for diagnosing tuberculous meningitis. Front Immunol 2023; 14:1223675. [PMID: 37822937 PMCID: PMC10562686 DOI: 10.3389/fimmu.2023.1223675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/05/2023] [Indexed: 10/13/2023] Open
Abstract
Objective The utility of metagenomic next-generation sequencing (mNGS) in the diagnosis of tuberculous meningitis (TBM) remains uncertain. We performed a meta-analysis to comprehensively evaluate its diagnostic accuracy for the early diagnosis of TBM. Methods English (PubMed, Medline, Web of Science, Cochrane Library, and Embase) and Chinese (CNKI, Wanfang, and CBM) databases were searched for relevant studies assessing the diagnostic accuracy of mNGS for TBM. Review Manager was used to evaluate the quality of the included studies, and Stata was used to perform the statistical analysis. Results Of 495 relevant articles retrieved, eight studies involving 693 participants (348 with and 345 without TBM) met the inclusion criteria and were included in the meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the summary receiver-operating characteristic curve of mNGS for diagnosing TBM were 62% (95% confidence interval [CI]: 0.46-0.76), 99% (95% CI: 0.94-1.00), 139.08 (95% CI: 8.54-2266), 0.38 (95% CI: 0.25-0.58), 364.89 (95% CI: 18.39-7239), and 0.97 (95% CI: 0.95-0.98), respectively. Conclusions mNGS showed good specificity but moderate sensitivity; therefore, a more sensitive test should be developed to assist in the diagnosis of TBM.
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Affiliation(s)
- Zheng-Bing Xiang
- Department of Neurology, Jiangxi Provincial People’s Hospital (The First Affiliated Hospital of Nanchang Medical College), Nanchang, Jiangxi, China
- Department of Neurology, Xiangya Hospital, Central South University, Jiangxi Hospital, National Regional Center for Neurological Diseases, Nanchang, Jiangxi, China
| | - Er-Ling Leng
- Department of Pediatrics, Jiangxi Provincial People’s Hospital (The First Affiliated Hospital of Nanchang Medical College), Nanchang, Jiangxi, China
| | - Wen-Feng Cao
- Department of Neurology, Jiangxi Provincial People’s Hospital (The First Affiliated Hospital of Nanchang Medical College), Nanchang, Jiangxi, China
- Department of Neurology, Xiangya Hospital, Central South University, Jiangxi Hospital, National Regional Center for Neurological Diseases, Nanchang, Jiangxi, China
| | - Shi-Min Liu
- Department of Neurology, Jiangxi Provincial People’s Hospital (The First Affiliated Hospital of Nanchang Medical College), Nanchang, Jiangxi, China
- Department of Neurology, Xiangya Hospital, Central South University, Jiangxi Hospital, National Regional Center for Neurological Diseases, Nanchang, Jiangxi, China
| | - Yong-Liang Zhou
- Department of Neurology, Jiangxi Provincial People’s Hospital (The First Affiliated Hospital of Nanchang Medical College), Nanchang, Jiangxi, China
- Department of Neurology, Xiangya Hospital, Central South University, Jiangxi Hospital, National Regional Center for Neurological Diseases, Nanchang, Jiangxi, China
| | - Chao-Qun Luo
- Department of Neurology, Jiangxi Provincial People’s Hospital (The First Affiliated Hospital of Nanchang Medical College), Nanchang, Jiangxi, China
- Department of Neurology, Xiangya Hospital, Central South University, Jiangxi Hospital, National Regional Center for Neurological Diseases, Nanchang, Jiangxi, China
| | - Fan Hu
- Department of Neurology, Jiangxi Provincial People’s Hospital (The First Affiliated Hospital of Nanchang Medical College), Nanchang, Jiangxi, China
- Department of Neurology, Xiangya Hospital, Central South University, Jiangxi Hospital, National Regional Center for Neurological Diseases, Nanchang, Jiangxi, China
| | - An Wen
- Department of Neurology, Jiangxi Provincial People’s Hospital (The First Affiliated Hospital of Nanchang Medical College), Nanchang, Jiangxi, China
- Department of Neurology, Xiangya Hospital, Central South University, Jiangxi Hospital, National Regional Center for Neurological Diseases, Nanchang, Jiangxi, China
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8
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Li Y, Bian W, Wu S, Zhang J, Li D. Metagenomic next-generation sequencing for Mycobacterium tuberculosis complex detection: a meta-analysis. Front Public Health 2023; 11:1224993. [PMID: 37637815 PMCID: PMC10450767 DOI: 10.3389/fpubh.2023.1224993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
Objective Metagenomic next-generation sequencing (mNGS) has been gradually applied to the diagnosis of tuberculosis (TB) due to its rapid and highly sensitive characteristics. Despite numerous studies on this subject, their results vary significantly. Thus, the current meta-analysis was performed to assess the performance of the mNGS on tuberculosis. Methods PubMed, Embase, Web of Science, and The Cochrane Library were searched up to June 21, 2023. Studies utilizing the mNGS for tuberculosis detection were included. The risk of bias was assessed by QUADAS-2, and a meta-analysis was performed with STATA14.0 software. Results Seventeen studies comprising 3,205 specimens were included. The combined sensitivity and specificity of mNGS for clinical specimens were 0.69[0.58-0.79] and 1.00[0.99-1.00], respectively. Subgroup analysis identified sequencing platform, diagnostic criteria, study type, sample size, and sample types as potential sources of heterogeneity. Cerebrospinal Fluid (CSF) has a lower sensitivity of 0.58 (0.39-0.75). In a population with a 10% prevalence rate, the accuracy of sensitivity reached 94%. Conclusion Metagenomic next-generation sequencing technology exhibits high sensitivity and speed in diagnosing Mycobacterium tuberculosis. Its application in mono and mixed infections peoples shows promise, and mNGS is likely to be increasingly used to address challenges posed by Mycobacterium tuberculosis complexes in the future.
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Affiliation(s)
- Yulian Li
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wentao Bian
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Shiping Wu
- Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jie Zhang
- Department of Laboratory Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Dan Li
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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Liu Y, Wang H, Li Y, Yu Z. Clinical application of metagenomic next-generation sequencing in tuberculosis diagnosis. Front Cell Infect Microbiol 2023; 12:984753. [PMID: 37056463 PMCID: PMC10087082 DOI: 10.3389/fcimb.2022.984753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 09/02/2022] [Indexed: 03/30/2023] Open
Abstract
ObjectiveThe purpose of this study was to evaluate the clinical diagnostic value of metagenomic next-generation sequencing (mNGS) for tuberculosis (TB).MethodsThis retrospective study included 52 patients with suspected TB infection. mNGS, targeted PCR, acid-fast staining and, T-SPOT.TB assay were performed on the specimen. The positive rate of mNGS and traditional detection methods was statistically analyzed. Pathological tests were performed when necessary.ResultsIn total, 52 patients with suspected of TB in this study were included in the analysis, and 31 patients were finally diagnosed with TB. Among 52 patients, 14 (26.9%) cases were positive for acid-fast staining. The positive rate of T-SPOT.TB assay in 52 patients was 73.1% (38/52). Among 52 patients, 39 (75%) were detected positive for Mycobacterium tuberculosis (MTB) by mNGS. Regarding the detection rate of MTB, mNGS were as high as 75% (39/52), whereas acid-resistant staining was only 26.9% (14/52), which showed a statistically significant difference (p<0.05). The positive rates of T-SPOT.TB assay and mNGS were not statistically significant (p>0.05). Of the 52 suspected TB patients, 24 had targeted PCR, of which 18 were PCR positive. In 24 patients, the positive rate of PCR was 75%, and the positive rate of mNGS was 100%, with statistical difference between them (p<0.05).ConclusionsThe detection rate of MTB by mNGS was higher than that by conventional acid-fast staining and PCR, but not statistically significant compared with T-SPOT.TB assay. As an adjunctive diagnostic technology, mNGS can be combined with traditional detection methods to play a guiding role in the diagnosis and treatment of TB.
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Affiliation(s)
- Ying Liu
- Gene Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huifen Wang
- Gene Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yaoguang Li
- Gene Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zujiang Yu
- Gene Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zujiang Yu,
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10
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Wu CX, Xiao LB, Luo ZF, Shi SH. Diagnostic approaches for pancreatic tuberculosis. Hepatobiliary Pancreat Dis Int 2023; 22:107-110. [PMID: 35168872 DOI: 10.1016/j.hbpd.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/21/2022] [Indexed: 02/07/2023]
Affiliation(s)
- Chang-Xin Wu
- Department of Hepatobiliary and Pancreatic Surgery, Jinjiang Municipal Hospital, Jinjiang 362200, China
| | - Li-Bing Xiao
- Department of Hand Surgery, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou 310000, China
| | - Zhong-Fei Luo
- Department of Hepatobiliary and Pancreatic Surgery, Jinjiang Municipal Hospital, Jinjiang 362200, China
| | - Shao-Hua Shi
- Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou 310000, China.
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11
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He YG, Huang YH, Yi XL, Qian KL, Wang Y, Cheng H, Hu J, Liu Y. Soft tissue tuberculosis detected by next-generation sequencing: A case report and review of literature. World J Clin Cases 2023; 11:709-718. [PMID: 36793633 PMCID: PMC9923867 DOI: 10.12998/wjcc.v11.i3.709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 12/21/2022] [Accepted: 01/05/2023] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Soft tissue tuberculosis is rare and insidious, with most patients presenting with a localized enlarged mass or swelling, which may be factors associated with delayed diagnosis and treatment. In recent years, next-generation sequencing has rapidly evolved and has been successfully applied to numerous areas of basic and clinical research. A literature search revealed that the use of next-generation sequencing in the diagnosis of soft tissue tuberculosis has been rarely reported.
CASE SUMMARY A 44-year-old man presented with recurrent swelling and ulcers on the left thigh. Magnetic resonance imaging suggested a soft tissue abscess. The lesion was surgically removed and tissue biopsy and culture were performed; however, no organism growth was detected. Finally, Mycobacterium tuberculosis was confirmed as the pathogen responsible for infection through next-generation sequencing analysis of the surgical specimen. The patient received a standardized anti-tuberculosis treatment and showed clinical improvement. We also performed a literature review on soft tissue tuberculosis using studies published in the past 10 years.
CONCLUSION This case highlights the importance of next-generation sequencing for the early diagnosis of soft tissue tuberculosis, which can provide guidance for clinical treatment and improve prognosis.
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Affiliation(s)
- Yan-Gai He
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Ya-Hui Huang
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Xiao-Lan Yi
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Kao-Liang Qian
- Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Ying Wang
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Hui Cheng
- Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Jun Hu
- Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Yuan Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
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12
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Hu X, Zhang H, Li Y, Zhang G, Tang B, Xu D, Tang M, Guo C, Liu S, Gao Q. Analysis of the diagnostic efficacy of the QuantiFERON-TB Gold In-Tube assay for preoperative differential diagnosis of spinal tuberculosis. Front Cell Infect Microbiol 2022; 12:983579. [PMID: 36204647 PMCID: PMC9531113 DOI: 10.3389/fcimb.2022.983579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundDifferential diagnosis of spinal tuberculosis is important for the clinical management of patients, especially in populations with spinal bone destruction. There are few effective tools for preoperative differential diagnosis in these populations. The QuantiFERON-TB Gold In-Tube (QFT-GIT) test has good sensitivity and specificity for the diagnosis of tuberculosis, but its efficacy in preoperative diagnosis of spinal tuberculosis has rarely been investigated.MethodA total of 123 consecutive patients with suspected spinal tuberculosis hospitalized from March 20, 2020, to April 10, 2022, were included, and the QFT-GIT test was performed on each patient. We retrospectively collected clinical data from these patients. A receiver operating characteristic (ROC) curve was plotted with the TB Ag-Nil values. The cutoff point was calculated from the ROC curve of 61 patients in the study cohort, and the diagnostic validity of the cutoff point was verified in a new cohort of 62 patients. The correlations between TB Ag-Nil values and other clinical characteristics of the patients were analyzed.ResultsOf the 123 patients included in the study, 51 had confirmed tuberculosis, and 72 had non-tuberculosis disease (AUC=0.866, 95% CI: 0.798-0.933, P<0.0001). In patients with spinal tuberculosis, the QFT-GIT test sensitivity was 92.16% (95% CI: 80.25%-97.46%), and the specificity was 67.14% (95% CI: 54.77%-77.62%). The accuracy of diagnostic tests in the validation cohort increased from 77.42% to 80.65% when a new cutoff point was selected (1.58 IU/mL) from the ROC curve of the study cohort. The TB Ag-Nil values in tuberculosis patients were correlated with the duration of the patients’ disease (r=0.4148, P=0.0025).ConclusionThe QFT-GIT test is an important test for preoperative differential diagnosis of spinal tuberculosis with high sensitivity but low specificity. The diagnostic efficacy of the QFT-GIT test can be significantly improved via application of a new threshold (1.58 IU/mL), and the intensity of the QFT-GIT test findings in spinal tuberculosis may be related to the duration of a patient’s disease.
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Affiliation(s)
- Xiaojiang Hu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Hongqi Zhang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yanbin Li
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Department of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, China
| | - Guang Zhang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Bo Tang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Dongcheng Xu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Mingxing Tang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Chaofeng Guo
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Shaohua Liu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Qile Gao
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Qile Gao,
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13
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Li Y, Jiao M, Liu Y, Ren Z, Li A. Application of Metagenomic Next-Generation Sequencing in Mycobacterium tuberculosis Infection. Front Med (Lausanne) 2022; 9:802719. [PMID: 35433724 PMCID: PMC9010669 DOI: 10.3389/fmed.2022.802719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
The fight against Mycobacterium tuberculosis (MTB) has been going on for thousands of years, while it still poses a threat to human health. In addition to routine detections, metagenomic next-generation sequencing (mNGS) has begun to show presence as a comprehensive and hypothesis-free test. It can not only detect MTB without isolating specific pathogens but also suggest the co-infection pathogens or underlying tumor simultaneously, which is of benefit to assist in comprehensive clinical diagnosis. It also shows the potential to detect multiple drug resistance sites for precise treatment. However, considering the cost performance compared with conventional assays (especially Xpert MTB/RIF), mNGS seems to be overqualified for patients with mild and typical symptoms. Technology optimization of sequencing and analyzing should be conducted to improve the positive rate and broaden the applicable fields.
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Affiliation(s)
- Yaoguang Li
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengfan Jiao
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhigang Ren
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhigang Ren,
| | - Ang Li
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Ang Li,
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14
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Sun W, Dong Z, Zhou Y, Xiong K, Liu H, Zhang Z, Fan L. Early Identification of Fungal and Mycobacterium Infections in Pulmonary Granulomas Using Metagenomic Next-Generation Sequencing on Formalin fixation and paraffin embedding tissue. Expert Rev Mol Diagn 2022; 22:461-468. [PMID: 35261303 DOI: 10.1080/14737159.2022.2052046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND The purpose of the study is to assess the etiology detection ability of Metagenomic Next-Generation Sequencing (mNGS) on formalin fixation and paraffin embedding (FFPE) tissue from postoperative biopsy specimen. METHODS We prospectively enrolled specimens from patients undergone surgery biopsy due to undefinite diagnosis and pathologically indicated granulomatous lesions. FFPE tissues were tested by mNGS and histopathology. The etiology detection rate of mNGS was calculated and compared with histopathology, using the clinical diagnosis as the reference criteria. RESULTS Among the 69 cases eventually included, 41 (59.42%) were diagnosed as infectious granuloma. The overall fungi and mycobacteria etiology detection rate of mNGS in granuloma lesions was 87.80 % (36/41) . The mNGS increased detection rate by 68.29 % (28/41) compared with histopathology, the difference was statistically significant (χ2= 28.97, P 0.00).The detection rates of mNGS in fungal infections (12/12,100%) and in mycobacterium infections (22/27, 81.48%) were significant higher than those of histopathology (8/12, 66.67% and 0/27,0.00 %;both P 0.00). 2 (2/2.100%) cases of co-infection were detected at one time by mNGS. All mNGS-based clinical decisions were made within 2 days. CONCLUSIONS The mNGS could accurately and quickly detect fungi and mycobacteria on FFPE specimens from postoperative granuloma specimens and identify the pathogens to the species level. CLINICAL TRIALS REGISTRATION China Clinical Trial Registry ChiCTR2000035464.
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Affiliation(s)
- Wenwen Sun
- Department of Tuberculosis and Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital Affiliated to School of Medicine, Tongji University, Shanghai 200092, China
| | - Zhengwei Dong
- Department of Pathology, Shanghai Pulmonary Hospital Affiliated to School of Medicine, Tongji University, Shanghai, China
| | - Yiming Zhou
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital Affiliated to School of Medicine, Tongji University, Shanghai, China
| | - Kunlong Xiong
- Department of Tuberculosis and Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital Affiliated to School of Medicine, Tongji University, Shanghai 200092, China
| | - Hongcheng Liu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital Affiliated to School of Medicine, Tongji University, Shanghai, China
| | | | - Lin Fan
- Department of Tuberculosis and Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital Affiliated to School of Medicine, Tongji University, Shanghai 200092, China
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15
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Ju CR, Lian QY, Guan WJ, Chen A, Zhang JH, Xu X, Chen RC, Li SY, He JX. Metagenomic Next-Generation Sequencing for Diagnosing Infections in Lung Transplant Recipients: A Retrospective Study. Transpl Int 2022; 35:10265. [PMID: 35221789 PMCID: PMC8866178 DOI: 10.3389/ti.2022.10265] [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: 11/25/2021] [Accepted: 01/18/2022] [Indexed: 11/13/2022]
Abstract
Background: Accurate identification of pathogens is essential for the diagnosis and control of infections. We aimed to compare the diagnostic performance of metagenomic next-generation sequencing (mNGS) and conventional detection methods (CDM) in lung transplant recipients (LTRs).Methods: We retrospectively analyzed 107 LTRs with suspected infection of pulmonary, blood, central nervous system or chest wall between March 2018 and November 2020. Bronchoalveolar lavage fluid and other body fluids were subject to pathogen detection by both mNGS and CDM.Results: Of the 163 specimens, 84 (51.5%) tested positive for both mNGS and culture, 19 (11.7%) of which were completely consistent, 44 (27.0%) were partially congruent, and 21 (12.9%) were discordant (kappa = .215; p = .001). Compared with CDM, mNGS detected a higher diversity of pathogens. Moreover, the turn-around time was significantly shorter for mNGS compared with culture (2.7 ± .4 vs. 5.5 ± 1.6 days, p < .001). As an auxiliary method, treatment strategies were adjusted according to mNGS findings in 31 cases (29.0%), including eight patients with non-infectious diseases, who were finally cured.Conclusion: mNGS can identify pathogens with a shorter turn-around time and therefore provide a more accurate and timely diagnostic information to ascertaining pulmonary infections. mNGS might have a role in differentiating infectious from non-infectious lung diseases in LTRs.
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Affiliation(s)
- Chun-Rong Ju
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiao-Yan Lian
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wei-Jie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ao Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jian-Heng Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xin Xu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Thoracic Surgery, Guangzhou Institute of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Rong-Chang Chen
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Southern University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen People’s Hospital, Shenzhen Institute of Respiratory Diseases, Shenzhen, China
| | - Shi-Yue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Shi-Yue Li, ; Jian-Xing He,
| | - Jian-Xing He
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Thoracic Surgery, Guangzhou Institute of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Shi-Yue Li, ; Jian-Xing He,
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16
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Ye Y, Yang N, Zhou J, Qian G, Chu J. Case Report: Metagenomic Next-Generation Sequencing in Diagnosis of Disseminated Tuberculosis of an Immunocompetent Patient. Front Med (Lausanne) 2021; 8:687984. [PMID: 34322503 PMCID: PMC8310911 DOI: 10.3389/fmed.2021.687984] [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: 06/14/2021] [Indexed: 01/05/2023] Open
Abstract
Disseminated tuberculosis (TB) is a rare disease and mainly occurs in immunodeficient patients. It is marked by hematogenous or lymphatic dissemination of Mycobacterium tuberculosis, causing tuberculous infection involving any organ system. Here, we report a case of disseminated TB involving lung, liver, spine, mediastinum, and prostate in an immunocompetent man. The present patient found a hepatic mass without any symptom during health examination. In the next 2 years, further examinations revealed multiple lesions in the lung, mediastinum, spine, and prostate. Imaging examinations, such as contrast-enhanced abdominal CT, F-18 FDG-PET/CT, and radionuclide bone scan, suggested the diagnosis of malignancy or metastatic tumor. Furthermore, histopathological results of the biopsies of the hepatic mass, mediastinal mass, and prostatic mass demonstrated granulomatous inflammation. Therefore, metagenomic next-generation sequencing (mNGS) was utilized to confirm the diagnosis. Mycobacterium tuberculosis complex was simultaneously detected in the spinal surgical resection specimens and bronchoalveolar lavage fluid (BALF), indicating the diagnosis of disseminated TB. mNGS is an emerging molecular diagnostic technology, and its application in disseminated TB has been rarely reported. We highlight that disseminated TB should be considered even in an immunocompetent patient, and mNGS can be performed when the diagnosis is difficult.
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Affiliation(s)
- Yuanting Ye
- School of Medicine, Ningbo University, Ningbo, China.,Department of General Practice, Ningbo First Hospital, Ningbo, China
| | - Naibin Yang
- Department of Infectious Disease, Ningbo First Hospital, Ningbo, China
| | - Jingying Zhou
- Department of Hematology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guoqing Qian
- Department of Infectious Disease, Ningbo First Hospital, Ningbo, China
| | - Jinguo Chu
- Department of General Practice, Ningbo First Hospital, Ningbo, China
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