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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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Li Q, Xin T, Liu Z, Wang Q, Ma L. Construction of ceRNA regulatory networks for active pulmonary tuberculosis. Sci Rep 2024; 14:10595. [PMID: 38719908 PMCID: PMC11079045 DOI: 10.1038/s41598-024-61451-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 05/06/2024] [Indexed: 05/12/2024] Open
Abstract
Delayed diagnosis in patients with pulmonary tuberculosis (PTB) often leads to serious public health problems. High throughput sequencing was used to determine the expression levels of lncRNAs, mRNAs, and miRNAs in the lesions and adjacent health lung tissues of patients with PTB. Their differential expression profiles between the two groups were compared, and 146 DElncRs, 447 DEmRs, and 29 DEmiRs were obtained between lesions and adjacent health tissues in patients with PTB. Enrichment analysis for mRNAs showed that they were mainly involved in Th1, Th2, and Th17 cell differentiation. The lncRNAs, mRNAs with target relationship with miRNAs were predicted respectively, and correlation analysis was performed. The ceRNA regulatory network was obtained by comparing with the differentially expressed transcripts (DElncRs, DEmRs, DEmiRs), then 2 lncRNAs mediated ceRNA networks were established. The expression of genes within the network was verified by quantitative real-time PCR (qRT-PCR). Flow cytometric analysis revealed that the proportion of Th1 cells and Th17 cells was lower in PTB than in controls, while the proportion of Th2 cells increased. Our results provide rich transcriptome data for a deeper investigation of PTB. The ceRNA regulatory network we obtained may be instructive for the diagnosis and treatment of PTB.
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Affiliation(s)
- Qifeng Li
- Xinjiang Institute of Pediatrics, Children's Hospital of Xinjiang Uygur Autonomous Region, NO. 393, Aletai Road, Shayibake District, Urumqi, 830054, Xinjiang, China.
| | - Tao Xin
- Department of Pediatrics, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, 830049, China
| | - Zhigang Liu
- Department of Thoracic Surgery, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, 830049, China
| | - Quan Wang
- Department of Clinical Laboratory, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, 830049, China
| | - Lanhong Ma
- Department of Pediatrics, Children's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830054, China
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Kim S, Can MH, Agizew TB, Auld AF, Balcells ME, Bjerrum S, Dheda K, Dorman SE, Esmail A, Fielding K, Garcia-Basteiro AL, Hanrahan CF, Kebede W, Kohli M, Luetkemeyer AF, Mita C, Reeve BWP, Silva DR, Sweeney S, Theron G, Trajman A, Vassall A, Warren JL, Yotebieng M, Cohen T, Menzies NA. Factors associated with tuberculosis treatment initiation among bacteriologically negative individuals evaluated for tuberculosis: an individual patient data meta-analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.07.24305445. [PMID: 38645191 PMCID: PMC11030305 DOI: 10.1101/2024.04.07.24305445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Background Globally, over one-third of pulmonary tuberculosis (TB) disease diagnoses are made based on clinical criteria after a negative diagnostic test result. Understanding factors associated with clinicians' decisions to initiate treatment for individuals with negative test results is critical for predicting the potential impact of new diagnostics. Methods We performed a systematic review and individual patient data meta-analysis using studies conducted between January/2010 and December/2022 (PROSPERO: CRD42022287613). We included trials or cohort studies that enrolled individuals evaluated for TB in routine settings. In these studies participants were evaluated based on clinical examination and routinely-used diagnostics, and were followed for ≥1 week after the initial test result. We used hierarchical Bayesian logistic regression to identify factors associated with treatment initiation following a negative result on an initial bacteriological test (e.g., sputum smear microscopy, Xpert MTB/RIF). Findings Multiple factors were positively associated with treatment initiation: male sex [adjusted Odds Ratio (aOR) 1.61 (1.31-1.95)], history of prior TB [aOR 1.36 (1.06-1.73)], reported cough [aOR 4.62 (3.42-6.27)], reported night sweats [aOR 1.50 (1.21-1.90)], and having HIV infection but not on ART [aOR 1.68 (1.23-2.32)]. Treatment initiation was substantially less likely for individuals testing negative with Xpert [aOR 0.77 (0.62-0.96)] compared to smear microscopy and declined in more recent years. Interpretation Multiple factors influenced decisions to initiate TB treatment despite negative test results. Clinicians were substantially less likely to treat in the absence of a positive test result when using more sensitive, PCR-based diagnostics.
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Affiliation(s)
- Sun Kim
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Melike Hazal Can
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Andrew F. Auld
- U.S. Centers for Disease Control and Prevention, Lusaka, Zambia
| | - Maria Elvira Balcells
- Infectious Disease Department, School of Medicine, Pontificia Universidad Católica de Chile
| | - Stephanie Bjerrum
- Department of Clinical Research, University of Southern Denmark, Odense Denmark
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa
- Faculty of Infectious and Tropical Diseases, Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Aliasgar Esmail
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, Cape Town, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa
| | - Katherine Fielding
- TB Centre, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Alberto L. Garcia-Basteiro
- ISGlobal, Hospital Clínic – Universitat de Barcelona, Barcelona, Spain
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain
| | - Colleen F. Hanrahan
- Epidemiology Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wakjira Kebede
- School of Medical Laboratory Sciences, Jimma University, Jimma Ethiopia
- Mycobacteriology Research Center of Jimma University, Ethiopia
| | | | | | - Carol Mita
- Countway Library of Medicine, Harvard University, Boston, MA, USA
| | - Byron W. P. Reeve
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Denise Rossato Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Sedona Sweeney
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Anete Trajman
- Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- McGill University, Montreal, QC, Canada
| | - Anna Vassall
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Joshua L. Warren
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Marcel Yotebieng
- Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, New York City, NY, USA
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Nicolas A. Menzies
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Zhang F, Wang Y, Zhang X, Liu K, Shang Y, Wang W, Liu Y, Li L, Pang Y. Diagnostic accuracy of oral swab for detection of pulmonary tuberculosis: a systematic review and meta-analysis. Front Med (Lausanne) 2024; 10:1278716. [PMID: 38528958 PMCID: PMC10961363 DOI: 10.3389/fmed.2023.1278716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/26/2023] [Indexed: 03/27/2024] Open
Abstract
Objectives Tuberculosis (TB) remains a significant concern in terms of public health, necessitating the timely and accurate diagnosis to impede its advancement. The utilization of oral swab analysis (OSA) presents a promising approach for diagnosing pulmonary TB by identifying Mycobacterium tuberculosis (MTB) within oral epithelial cells. Due to disparities in the diagnostic performance of OSA reported in the original studies, we conducted a meticulous meta-analysis to comprehensively assess the diagnostic efficacy of OSA in pulmonary TB. Methods We conducted a comprehensive investigation across multiple databases, namely PubMed, Cochrane Library, Embase, Web of Science, ClinicalTrials.gov, Chinese BioMedical Literature Database (CBM), China National Knowledge Infrastructure Database (CNKI), and Wanfang China Science and Technology Journal Database to identify relevant studies. Out search query utilized the following keywords: oral swab, buccal swab, tongue swab, tuberculosis, and TB. Subsequently, we employed STATA 16.0 to compute the combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio for both the overall and subgroup analyses. Results Our findings indicated that OSA has a combined sensitivity of 0.67 and specificity of 0.95 in individuals with pulmonary TB. Subgroup analysis further revealed that among adult individuals with pulmonary TB, the sensitivity and specificity of OSA were 0.73 and 0.93, respectively. In HIV-negative individuals with pulmonary TB, the sensitivity and specificity were 0.68 and 0.98, respectively. The performance of OSA in detecting pulmonary TB correlated with the bacteria load in sputum. Additionally, the sensitivity for diagnosing pulmonary TB using tongue specimens was higher (0.75, 95% CI: 0.65-0.83) compared to cheek specimens (0.52, 95% CI: 0.34-0.70), while both types of specimens demonstrated high specificity. Conclusions To conclude, oral swabs serve as a promising alternative for diagnosing pulmonary TB, especially in adult patients. In addition, tongue swabs yield better sensitivity than cheek swabs to identify pulmonary TB patients. Systematic review registration identifier: CRD42023421357.
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Affiliation(s)
- Fuzhen Zhang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yilin Wang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Kewei Liu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yuanyuan Liu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Liang Li
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
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Yadav S, Rawal G, Jeyaraman M, Jeyaraman N. Advancements in Tuberculosis Diagnostics: A Comprehensive Review of the Critical Role and Future Prospects of Xpert MTB/RIF Ultra Technology. Cureus 2024; 16:e57311. [PMID: 38690500 PMCID: PMC11059844 DOI: 10.7759/cureus.57311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2024] [Indexed: 05/02/2024] Open
Abstract
Tuberculosis remains a persistent global health challenge, demanding swift and accurate diagnostic methods for effective treatment. The emergence of the Xpert MTB/RIF Ultra system marks a significant milestone in combating tuberculosis, streamlining the identification of Mycobacterium tuberculosis, and advancing our pursuit of eradicating the disease. Delving into the therapeutic landscape of tuberculosis and rifampicin resistance, this scientific narrative review offers a comprehensive exploration. It begins by delving into the historical backdrop and the hurdles encountered with traditional tuberculosis diagnostics. From there, it traces the journey of the Xpert MTB/RIF technology, underscoring its molecular underpinnings. In this narrative review, the performance of the Xpert MTB/RIF Ultra system undergoes thorough scrutiny, encompassing investigations into sensitivity, specificity, and comparisons with alternative diagnostic methods. The spotlight shines on its clinical applications across diverse scenarios, from diagnosing pulmonary and extrapulmonary tuberculosis to its pivotal role in identifying rifampicin resistance. The study also evaluates its clinical efficacy in enhancing patient outcomes and supporting global tuberculosis control initiatives. However, the review does not shy away from discussing the challenges and limitations associated with the Xpert MTB/RIF Ultra system. It meticulously addresses concerns regarding cost, infrastructure requirements, and potential diagnostic inaccuracies. Offering a panoramic view, the review assesses the system's impact in resource-constrained settings and its potential to bolster tuberculosis elimination endeavors worldwide. Peering into the future, it explores ongoing research avenues and potential enhancements in Xpert MTB/RIF Ultra technology, envisioning a landscape of improved performance, broader applications, and emerging diagnostic innovations in the realm of tuberculosis diagnostics.
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Affiliation(s)
- Sankalp Yadav
- Medicine, Shri Madan Lal Khurana Chest Clinic, New Delhi, IND
| | - Gautam Rawal
- Respiratory Medical Critical Care, Max Super Speciality Hospital, New Delhi, IND
| | - Madhan Jeyaraman
- Clinical Research, Viriginia Tech India, Dr. MGR Educational and Research Institute, Chennai, IND
- Orthopaedics, ACS Medical College and Hospital, Dr. MGR Educational and Research Institute, Chennai, IND
| | - Naveen Jeyaraman
- Orthopaedics, ACS Medical College and Hospital, Dr. MGR Educational and Research Institute, Chennai, IND
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Kebede W, Abebe G, De Boeck I, Gudina EK, Cauwenberghs E, Lebeer S, Van Rie A. Bacterial pathogens in Xpert MTB/RIF Ultra-negative sputum samples of patients with presumptive tuberculosis in a high TB burden setting: a 16S rRNA analysis. Microbiol Spectr 2024; 12:e0293123. [PMID: 38189296 PMCID: PMC10845949 DOI: 10.1128/spectrum.02931-23] [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: 07/26/2023] [Accepted: 11/27/2023] [Indexed: 01/09/2024] Open
Abstract
In patients with presumptive tuberculosis (TB) in whom the diagnosis of TB was excluded, understanding the bacterial etiology of lower respiratory tract infections (LRTIs) is important for optimal patient management. A secondary analysis was performed on a cohort of 250 hospitalized patients with symptoms of TB. Bacterial DNA was extracted from sputum samples for Illumina 16S rRNA sequencing to identify bacterial species based on amplicon sequence variant level. The bacterial pathogen most likely to be responsible for the patients' LRTI could only be identified in a minority (6.0%, 13/215) of cases based on 16S rRNA amplicon sequencing: Mycoplasma pneumoniae (n = 7), Bordetella pertussis (n = 2), Acinetobacter baumanii (n = 2), and Pseudomonas aeruginosa (n = 2). Other putative pathogens were present in similar proportions of Xpert Ultra-positive and Xpert Ultra-negative sputum samples. The presence of Streptococcus (pseudo)pneumoniae appeared to increase the odds of radiological abnormalities (aOR 2.5, 95% CI 1.12-6.16) and the presence of S. (pseudo)pneumoniae (aOR 5.31, 95% CI 1.29-26.6) and Moraxella catarrhalis/nonliquefaciens (aOR 12.1, 95% CI 2.67-72.8) increased the odds of 6-month mortality, suggesting that these pathogens might have clinical relevance. M. pneumoniae, B. pertussis, and A. baumanii appeared to be the possible causes of TB-like symptoms. S. (pseudo)pneumoniae and M. catarrhalis/nonliquefaciens also appeared of clinical relevance based on 16S rRNA amplicon sequencing. Further research using tools with higher discriminatory power than 16S rRNA sequencing is required to develop optimal diagnostic and treatment strategies for this population.IMPORTANCEThe objective of this study was to identify possible bacterial lower respiratory tract infection (LRTI) pathogens in hospitalized patients who were initially suspected to have TB but later tested negative using the Xpert Ultra test. Although 16S rRNA was able to identify some less common or difficult-to-culture pathogens such as Mycoplasma pneumoniae and Bordetella pertussis, one of the main findings of the study is that, in contrast to what we had hypothesized, 16S rRNA is not a method that can be used to assist in the management of patients with presumptive TB having a negative Xpert Ultra test. Even though this could be considered a negative finding, we believe it is an important finding to report as it highlights the need for further research using different approaches.
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Affiliation(s)
- Wakjira Kebede
- Department of Epidemiology and Social Medicine, Faculty of Medicine and Health sciences, University of Antwerp, Antwerp, Belgium
- Mycobacteriology Research Center, Jimma University, Jimma, Ethiopia
- School of Medical Laboratory Science, Jimma University, Jimma, Ethiopia
| | - Gemeda Abebe
- Mycobacteriology Research Center, Jimma University, Jimma, Ethiopia
- School of Medical Laboratory Science, Jimma University, Jimma, Ethiopia
| | - Ilke De Boeck
- Department of Bioscience Engineering, University of Antwerp, Antwerp, Belgium
| | - Esayas Kebede Gudina
- Department of Internal Medicine, Jimma University Medical Center, Jimma University, Jimma, Ethiopia
| | - Eline Cauwenberghs
- Department of Bioscience Engineering, University of Antwerp, Antwerp, Belgium
| | - Sarah Lebeer
- Department of Bioscience Engineering, University of Antwerp, Antwerp, Belgium
| | - Annelies Van Rie
- Department of Epidemiology and Social Medicine, Faculty of Medicine and Health sciences, University of Antwerp, Antwerp, Belgium
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Jayaprakasam M, Pandey RM, Choudhary H, Shanmugam S, Sivaramakrishnan GN, Gupta N. Evaluation of molecular diagnostic test for detection of adult pulmonary tuberculosis: A generic protocol. Indian J Med Res 2024; 159:246-253. [PMID: 38511943 PMCID: PMC11050747 DOI: 10.4103/ijmr.ijmr_2316_23] [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: 12/08/2023] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND OBJECTIVES Tuberculosis (TB) continues to be the second most-leading cause of death due to a single infectious agent as of 2022 after COVID-19. Many affordable new molecular diagnostic tools are being developed for early and more accurate diagnosis, especially for low-resource settings in low- and middle-income countries. In this context, there is a need to develop a standardized protocol for validation of new diagnostic tools. Here, we describe a generic protocol for multi-centric clinical evaluation of molecular diagnostic tests for adult pulmonary TB. METHODS This protocol describes a cross-sectional study in TB reference laboratories in India. Adults (>18 yr) visitng the chest clinics or outpatient departments with symptoms of TB need to be enrolled consecutively till the required sample size of 150 culture positives and 470 culture negatives are met. Mycobacterium tuberculosis (Mtb) culture (mycobacteria growth indicator tube liquid culture) to be used under this protocol as the gold standard and Xpert MTB/RIF molecular test will be used as the comparator. The sputum samples will be tested by smear microscopy, Mtb culture, Xpert MTB/RIF and index molecular test as per the proposed algorithm. The specificity sensitivity, and positive/ negative predictive values are to be calculated for the index test with reference to the gold standard. DISCUSSION TB diagnosis poses many challenges as it differs with type of disease, age group, clinical settings and type of diagnostic tests/kits used. Globally, different protocols are used by several investigators. This protocol provides standard methods for the validation of molecular tests for diagnosis of adult pulmonary TB, which can be adopted by investigators.
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Affiliation(s)
| | | | | | - Sivakumar Shanmugam
- Department of Bacteriology, ICMR-National Institute for Research in Tuberculosis, Chennai, India
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Chen X, Sechi LA, Molicotti P. Evaluation of mycobacteria infection prevalence and optimization of the identification process in North Sardinia, Italy. Microbiol Spectr 2024; 12:e0317923. [PMID: 38059624 PMCID: PMC10783066 DOI: 10.1128/spectrum.03179-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/06/2023] [Indexed: 12/08/2023] Open
Abstract
IMPORTANCE Mycobacterial infection is a major threat to public health worldwide. Accurate identification of infected species and drug resistance detection are critical factors in treatment. We focused on shortening the turn-around time of identifying mycobacteria species and antibiotic resistance tests.
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Affiliation(s)
- Xiang Chen
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Health Care Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Leonardo Antonio Sechi
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- SC Microbiologia, AOU Sassari, Sassari, Italy
| | - Paola Molicotti
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- SC Microbiologia, AOU Sassari, Sassari, Italy
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Hemeg HA, Albulushi HO, Ozbak HA, Ali HM, Alahmadi EK, Almutawif YA, Alhuofie ST, Alaeq RA, Alhazmi AA, Najim MA, Hanafy AM. Evaluating the Sensitivity of Different Molecular Techniques for Detecting Mycobacterium tuberculosis Complex in Patients with Pulmonary Infection. Pol J Microbiol 2023; 72:421-431. [PMID: 37934050 PMCID: PMC10725165 DOI: 10.33073/pjm-2023-040] [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: 06/20/2023] [Accepted: 10/04/2023] [Indexed: 11/08/2023] Open
Abstract
This study aimed to evaluate the accuracy of detecting drug-resistant Mycobacterium tuberculosis complex (MTBC)-specific DNA in sputum specimens from 48 patients diagnosed with pulmonary tuberculosis. The presence of MTBC DNA in the specimens was validated using the GeneXpert MTB/RIF system and compared with a specific PCR assay targeting the IS6110 and the mtp40 gene sequence fragments. Additionally, the results obtained by multiplex PCR assays to detect the most frequently encountered rifampin, isoniazid, and ethambutol resistance-conferring mutations were matched with those obtained by GeneXpert and phenotypic culture-based drug susceptibility tests. Of the 48 sputum samples, 25 were positive for MTBC using the GeneXpert MTB/RIF test. Nevertheless, the IS6110 and mtp40 single-step PCR revealed the IS6110 in 27 of the 48 sputum samples, while the mtp40 gene fragment was found in only 17 of them. Furthermore, multiplex PCR assays detected drug-resistant conferring mutations in 21 (77.8%) of the 27 samples with confirmed MTBC DNA, 10 of which contained single drug-resistant conferring mutations towards ethambutol and two towards rifampin, and the remaining nine contained double-resistant mutations for ethambutol and rifampin. In contrast, only five sputum specimens (18.5%) contained drug-resistant MTBC isolates, and two contained mono-drug-resistant MTBC species toward ethambutol and rifampin, respectively, and the remaining three were designated as multi-drug resistant toward both drugs using GeneXpert and phenotypic culture-based drug susceptibility tests. Such discrepancies in the results emphasize the need to develop novel molecular tests that associate with phenotypic non-DNA-based assays to improve the detection of drug-resistant isolates in clinical specimens in future studies.
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Affiliation(s)
- Hassan A. Hemeg
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Hamzah O. Albulushi
- Biology Department, College of Science, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Hani A. Ozbak
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Hamza M. Ali
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Emad K. Alahmadi
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Yahya A. Almutawif
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Sari T. Alhuofie
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Rana A. Alaeq
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Areej A. Alhazmi
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Mustafa A. Najim
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
| | - Ahmed M. Hanafy
- Biology Department, College of Science, Taibah University, Al-Madinah, Kingdom of Saudi Arabia
- Department of Microbiology, Faculty of Science, Ain Shams University, Cairo, Egypt
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Choi SY, Choi A, Baek SE, Ahn JY, Roh YH, Kim JH. Effect of multimodal diagnostic approach using deep learning-based automated detection algorithm for active pulmonary tuberculosis. Sci Rep 2023; 13:19794. [PMID: 37957334 PMCID: PMC10643438 DOI: 10.1038/s41598-023-47146-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/09/2023] [Indexed: 11/15/2023] Open
Abstract
In this study, we developed a model to predict culture test results for pulmonary tuberculosis (PTB) with a customized multimodal approach and evaluated its performance in different clinical settings. Moreover, we investigated potential performance improvements by combining this approach with deep learning-based automated detection algorithms (DLADs). This retrospective observational study enrolled patients over 18 years of age who consecutively visited the level 1 emergency department and underwent chest radiograph and sputum testing. The primary endpoint was positive sputum culture for PTB. We compared the performance of the diagnostic models by replacing radiologists' interpretations of chest radiographs with screening scores calculated through DLAD. The optimal diagnostic model had an area under the receiver operating characteristic curve of 0.924 (95% CI 0.871-0.976) and an area under precision recall curve of 0.403 (95% CI 0.195-0.580) while maintaining a specificity of 81.4% when sensitivity was fixed at 90%. Multicomponent models showed improved performance for detecting PTB when chest radiography interpretation was replaced by DLAD. Multicomponent diagnostic models with DLAD customized for different clinical settings are more practical than traditional methods for detecting patients with PTB. This novel diagnostic approach may help prevent the spread of PTB and optimize healthcare resource utilization in resource-limited clinical settings.
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Affiliation(s)
- So Yeon Choi
- Department of Emergency Medicine, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, Republic of Korea
| | - Arom Choi
- Department of Emergency Medicine, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, Republic of Korea
- Institute for Innovation in Digital Healthcare, Yonsei University, Seodaemun-Gu, 50 Yonsei-Ro, Seoul, Republic of Korea
| | - Song-Ee Baek
- Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea
| | - Jin Young Ahn
- Division of Infectious Disease, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yun Ho Roh
- Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Hoon Kim
- Department of Emergency Medicine, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, Republic of Korea.
- Institute for Innovation in Digital Healthcare, Yonsei University, Seodaemun-Gu, 50 Yonsei-Ro, Seoul, Republic of Korea.
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11
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Vuchas C, Teyim P, Dang BF, Neh A, Keugni L, Che M, Che PN, Beloko H, Fondoh V, Ndi NN, Wandji IAG, Fundoh M, Manga H, Mbuli C, Creswell J, Bisso A, Donkeng V, Sander M. Implementation of large-scale pooled testing to increase rapid molecular diagnostic test coverage for tuberculosis: a retrospective evaluation. Sci Rep 2023; 13:15358. [PMID: 37717043 PMCID: PMC10505184 DOI: 10.1038/s41598-023-41904-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 09/01/2023] [Indexed: 09/18/2023] Open
Abstract
In 2021, only 6.4 million of the 10.6 million people with tuberculosis (TB) were diagnosed and treated for the disease. Although the World Health Organization recommends initial diagnostic testing using a rapid sensitive molecular assay, only 38% of people diagnosed with TB benefited from these, due to barriers including the high cost of available assays. Pooled testing has been used as an approach to increase testing efficiency in many resource-constrained situations, such as the COVID-19 pandemic, but it has not yet been widely adopted for TB diagnostic testing. Here we report a retrospective analysis of routine pooled testing of 10,117 sputum specimens using the Xpert MTB/RIF and Xpert MTB/RIF Ultra assays that was performed from July 2020 to February 2022. Pooled testing saved 48% of assays and enabled rapid molecular testing for 4156 additional people as compared to individual testing, with 6.6% of specimens positive for TB. From an in silico analysis, the positive percent agreement of pooled testing in pools of 3 as compared with individual testing for the Xpert MTB/RIF Ultra assay was estimated as 99.4% (95% CI, 96.6% to 100%). These results support the scale-up of pooled testing for efficient TB diagnosis.
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Affiliation(s)
- Comfort Vuchas
- Center for Health Promotion and Research, Bamenda, Northwest, Cameroon.
| | - Pride Teyim
- Tuberculosis Reference Laboratory Douala, Douala, Littoral, Cameroon
| | | | - Angela Neh
- Center for Health Promotion and Research, Bamenda, Northwest, Cameroon
| | - Liliane Keugni
- Tuberculosis Reference Laboratory Douala, Douala, Littoral, Cameroon
| | - Mercy Che
- Center for Health Promotion and Research, Bamenda, Northwest, Cameroon
| | - Pantalius Nji Che
- Center for Health Promotion and Research, Bamenda, Northwest, Cameroon
| | - Hamada Beloko
- Tuberculosis Reference Laboratory Douala, Douala, Littoral, Cameroon
| | - Victor Fondoh
- Bamenda Regional Hospital, Bamenda, Northwest, Cameroon
| | - Norah Nyah Ndi
- Baptist Convention Health Services and Baptist Institute of Health Sciences, Bamenda, Northwest, Cameroon
| | | | - Mercy Fundoh
- National TB Program- Northwest Region, Bamenda, Northwest, Cameroon
| | - Henri Manga
- National TB Program, Yaoundé, Center, Cameroon
| | - Cyrille Mbuli
- Center for Health Promotion and Research, Bamenda, Northwest, Cameroon
| | | | - Annie Bisso
- National TB Program, Yaoundé, Center, Cameroon
| | | | - Melissa Sander
- Center for Health Promotion and Research, Bamenda, Northwest, Cameroon.
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12
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He CJ, Wan JL, Luo SF, Guo RJ, Paerhati P, Cheng X, Duan CH, Xu AM. Comparative Study on Tuberculosis Drug Resistance and Molecular Detection Methods Among Different Mycobacterium Tuberculosis Lineages. Infect Drug Resist 2023; 16:5941-5951. [PMID: 37700800 PMCID: PMC10494918 DOI: 10.2147/idr.s423390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/24/2023] [Indexed: 09/14/2023] Open
Abstract
Purpose This study aims to compare drug resistance and detection efficacy across different Mycobacterium tuberculosis lineages, offering insights for precise treatment and molecular diagnosis. Methods 161 strains of Mycobacterium tuberculosis (M.tb) were tested for drug resistance using Phenotypic Drug Susceptibility Testing (pDST), High-Resolution Melting analysis (HRM), and Whole Genome Sequencing (WGS) methods. The main focus was on evaluating the accuracy of different methods for detecting resistance to rifampicin (RIF), isoniazid (INH), and streptomycin (SM). Results Among the 161 strains of M.tb, 83.85% (135/161) were fully sensitive to RIF, INH, and SM according to pDST, and the rate of multidrug resistance was 4.35% (7/161). The drug resistance rates of lineage 2 M.tb to the three drugs (26/219, 11.87%) were significantly higher than those of non-lineage 2 M.tb (12/264, 4.45%) (P<0.05). Compared with pDST, WGS had a sensitivity of 100%, 94.12%, and 92.31% and a specificity of 100%, 99.31%, and 98.65% for RIF, INH, and SM, respectively, with no significant difference. The sensitivity of HRM for RIF, INH, and SM was 87.50%, 52.94%, and 76.92%, respectively, while the specificity was 96.08%, 99.31%, and 99.32%, respectively. The sensitivity of HRM for detecting INH resistance was significantly lower than that of pDST (P=0.039). Compared with HRM, WGS increased the sensitivity of RIF, INH, and SM by 12.50%, 41.18%, and 15.38%, respectively. Conclusion There are significant differences in drug resistance rates among different lineages of M.tb, with lineage 2 having higher rates of RIF, INH, and SM resistance than lineages 3 and 4. The sensitivity of HRM is far lower than that of pDST, and currently, the accuracy of HRM is not sufficient to replace pDST. WGS has no significant difference in detecting drug resistance compared with pDST but can identify new anti-tuberculosis drug-resistant mutations, providing effective guidance for clinical decision-making.
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Affiliation(s)
- Chuan-Jiang He
- Department of Laboratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, People’s Republic of China
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Jiang-Li Wan
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Sheng-Fang Luo
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Rui-Jie Guo
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Pawuziye Paerhati
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Xiang Cheng
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Chao-Hui Duan
- Department of Laboratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, People’s Republic of China
| | - Ai-Min Xu
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
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13
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Yu X, Wang F, Ren R, Dong L, Xue Y, Zhao L, Jia J, Huang H. Xpert MTB/RIF Ultra Assay Using Stool: an Effective Solution for Bacilli Identification from Adult Pulmonary Tuberculosis Suspects without Expectorated Sputum. Microbiol Spectr 2023; 11:e0126523. [PMID: 37378554 PMCID: PMC10434112 DOI: 10.1128/spectrum.01265-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
This study evaluated the diagnostic performance of stool-based Xpert MTB/RIF Ultra assay (Xpert-Ultra, Cepheid, USA) against other tests using respiratory tract specimens (RTS) and stool for diagnosing adult pulmonary tuberculosis. A prospective study on patients with presumptive pulmonary tuberculosis was conducted in Beijing Chest Hospital from June to November 2021. The smear test, MGIT960 liquid culture, and Xpert MTB/RIF (Xpert, Cepheid, USA) were performed simultaneously on RTS, and smear, culture Xpert, and Xpert-Ultra were performed simultaneously using stool. Patients were grouped based on the outcomes of RTS examination and other tests. In total, 130 eligible patients were enrolled that included 96 pulmonary tuberculosis and 34 non-TB patients. The sensitivity of smear, culture, Xpert, and Xpert-Ultra using stool was 10.96%, 23.28%, 60.27%, and 79.45%, respectively. The specificities of Xpert and Xpert-Ultra using RTS and stool were all 100% (34/34). Notably, all five confirmed cases detected by bronchoalveolar lavage fluid (BALF) examination yielded Xpert-Ultra positive outcomes with the stool specimens. Xpert-Ultra assay on stool sample harbors comparable sensitivity with Xpert on RTS. Thus, the Xpert-Ultra testing on stool specimens could be a very promising and practical strategy to improve pulmonary tuberculosis (PTB) diagnosis, especially among patients who could not expectorate sputum. IMPORTANCE This study is aimed at assessing the value of Xpert MTB/RIF Ultra (Xpert-Ultra) in PTB on stool in adult in low HIV settings and Xpert-Ultra assay on stool sample harboring comparable sensitivity with Xpert MTB/RIF on respiratory tract specimens. Although the yield in stool samples by Xpert-Ultra is lower than RTS, it may be useful in detecting disease in presumptive TB patients who cannot expectorate sputum and are not open to BALF collection. In addition, Xpert-Ultra with a "trace call" on stool in adult was highly supportive of PTB.
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Affiliation(s)
- Xia Yu
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, Beijing, China
| | - Fen Wang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, Beijing, China
| | - Ruyan Ren
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, Beijing, China
| | - Lingling Dong
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, Beijing, China
| | - Yi Xue
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, Beijing, China
| | - Liping Zhao
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, Beijing, China
| | - Junnan Jia
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, Beijing, China
| | - Hairong Huang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, Beijing, China
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14
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Jia N, Wang C, Liu X, Huang X, Xiao F, Fu J, Sun C, Xu Z, Wang G, Zhou J, Wang Y. A CRISPR-Cas12a-based platform for ultrasensitive rapid highly specific detection of Mycobacterium tuberculosis in clinical application. Front Cell Infect Microbiol 2023; 13:1192134. [PMID: 37287467 PMCID: PMC10242030 DOI: 10.3389/fcimb.2023.1192134] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 05/09/2023] [Indexed: 06/09/2023] Open
Abstract
Tuberculosis, caused by Mycobacterium tuberculosis (MTB), is the second leading cause of death after COVID-19 pandemic. Here, we coupled multiple cross displacement amplification (MCDA) technique with CRISPR-Cas12a-based biosensing system to design a novel detection platform for tuberculosis diagnosis, termed MTB-MCDA-CRISPR. MTB-MCDA-CRISPR pre-amplified the specific sdaA gene of MTB by MCDA, and the MCDA results were then decoded by CRISPR-Cas12a-based detection, resulting in simple visual fluorescent signal readouts. A set of standard MCDA primers, an engineered CP1 primer, a quenched fluorescent ssDNA reporter, and a gRNA were designed targeting the sdaA gene of MTB. The optimal temperature for MCDA pre-amplification is 67°C. The whole experiment process can be completed within one hour, including sputum rapid genomic DNA extraction (15 minutes), MCDA reaction (40 minutes), and CRISPR-Cas12a-gRNA biosensing process (5 minutes). The limit of detection (LoD) of the MTB-MCDA-CRISPR assay is 40 fg per reaction. The MTB-MCDA-CRISPR assay does not cross reaction with non-tuberculosis mycobacterium (NTM) strains and other species, validating its specificity. The clinical performance of MTB-MCDA-CRISPR assay was higher than that of the sputum smear microscopy test and comparable to that of Xpert method. In summary, the MTB-MCDA-CRISPR assay is a promising and effective tool for tuberculosis infection diagnosis, surveillance and prevention, especially for point-of-care (POC) test and field deployment in source-limited regions.
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Affiliation(s)
- Nan Jia
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Chaohong Wang
- Department of Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Xiaming Liu
- The Second Department of Geriatrics, Handan Central Hospital, Handan, Hebei, China
| | - Xiaolan Huang
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Fei Xiao
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Jin Fu
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Chunrong Sun
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Zheng Xu
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Guirong Wang
- Department of Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Juan Zhou
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Yi Wang
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
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15
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Tayal D, Sethi P, Jain P. Point-of-care test for tuberculosis: a boon in diagnosis. Monaldi Arch Chest Dis 2023; 94. [PMID: 37114932 DOI: 10.4081/monaldi.2023.2528] [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: 01/17/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
Rapid diagnosis of tuberculosis (TB) is an effective measure to eradicate this infectious disease worldwide. Traditional methods for screening TB patients do not provide an immediate diagnosis and thus delay treatment. There is an urgent need for the early detection of TB through point-of-care tests (POCTs). Several POCTs are widely available at primary healthcare facilities that assist in TB screening. In addition to the currently used POCTs, advancements in technology have led to the discovery of newer methods that provide accurate and fast information independent of access to laboratory facilities. In the present article, the authors tried to include and describe the potential POCTs for screening TB in patients. Several molecular diagnostic tests, such as nucleic acid amplification tests, including GeneXpert and TB-loop-mediated isothermal amplification, are currently being used as POCTs. Besides these methods, the pathogenic component of Mycobacterium tuberculosis can also be utilized as a biomarker for screening purposes through immunological assays. Similarly, the host immune response to infection has also been utilized as a marker for the diagnosis of TB. These novel biomarkers might include Mtb85, interferon-γ inducible protein-10, volatile organic compounds, acute-phase proteins, etc. Radiological tests have also been observed as POCTs in the TB screening POCT panel. Various POCTs are performed on samples other than sputum, which further eases the screening process. These POCTs should not require large-scale manpower and infrastructure. Hence, POCT should be able to identify patients with M. tuberculosis infection at the primary healthcare level only. There are several other advanced techniques that have been proposed as future POCTs and have been discussed in the present article.
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Affiliation(s)
- Devika Tayal
- Department of Biochemistry, National Institute of Tuberculosis and Respiratory Disease, New Delhi.
| | - Prabhpreet Sethi
- Department of Pulmonary Medicine, National Institute of Tuberculosis and Respiratory Disease, New Delhi.
| | - Prerna Jain
- Department of Biochemistry, National Institute of Tuberculosis and Respiratory Disease, New Delhi.
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16
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Sultana S, Afrin S, Hasan M, Ansar A, Saif-Ur-Rahman KM. Stool specimen for diagnosis of pulmonary tuberculosis in adults: a systematic review. BMJ Open 2023; 13:e062135. [PMID: 37105702 PMCID: PMC10151869 DOI: 10.1136/bmjopen-2022-062135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/18/2023] [Indexed: 04/29/2023] Open
Abstract
OBJECTIVE To assess the diagnostic accuracy of stool specimens to diagnose pulmonary tuberculosis (PTB) in adults. DESIGN Systematic review. DATA SOURCES MEDLINE (Ovid), Embase (Ovid), Web of Science and the Cochrane database were searched from inception to 9 March 2023-10 March 2023 using a comprehensive search strategy; reference lists of selected articles and relevant review articles were manually searched. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Studies in English reporting diagnostic performance of stool specimens against respiratory specimens using mycobacterial culture or smear microscopy or Xpert assay to diagnose PTB in adults were eligible for this systematic review. DATA EXTRACTION AND SYNTHESIS Two reviewers independently screened the retrieved citations and extracted data. The risk of bias and applicability of results were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Narrative data synthesis was performed. RESULTS A total of 1658 citations were screened, and 28 full-text articles were assessed. Nine studies met the inclusion criteria. The reported sensitivity and specificity of stool culture varied between 21.4% and 63.9%, and 61.5% and 100%, respectively. In stool smear microscopy, sensitivities and specificities ranged from 12.1% to 53.9%, and from 79.5% to 100%, respectively. The reported sensitivities of PCR assays, including Xpert assays, ranged from 69.7% to 100%, with specificities ranging from 69.8% to 100%. Most of the studies had a low risk of bias and a low applicability concern in all domains. CONCLUSION This systematic review could not conclude on the diagnostic accuracy of stool specimens for PTB diagnosis in adults. Further studies are required to evaluate the accuracy of stool specimens in adults to enable meta-analyses in updates of this review as well as other systematic reviews. PROSPERO REGISTRATION NUMBER CRD42021245203.
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Affiliation(s)
| | - Sadia Afrin
- Health Systems and Population Studies Division, ICDDRB, Dhaka, Bangladesh
| | | | - Adnan Ansar
- School of Nursing and Midwifery, College of Science, Health and Engineering, La Trobe University, Melbourne, Victoria, Australia
| | - K M Saif-Ur-Rahman
- Health Systems and Population Studies Division, ICDDRB, Dhaka, Bangladesh
- Evidence Synthesis Ireland and Cochrane Ireland, University of Galway, Galway, Ireland
- College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland
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17
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Powell L, Denoeud-Ndam L, Herrera N, Masaba R, Tchounga B, Siamba S, Ouma M, Petnga SJ, Machekano R, Pamen B, Okomo G, Simo L, Casenghi M, Rakhmanina N, Tiam A. HIV matters when diagnosing TB in young children: an ancillary analysis in children enrolled in the INPUT stepped wedge cluster randomized study. BMC Infect Dis 2023; 23:234. [PMID: 37069518 PMCID: PMC10107571 DOI: 10.1186/s12879-023-08216-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/03/2023] [Indexed: 04/19/2023] Open
Abstract
BACKGROUND Children under age five years, particularly those living with HIV (CLHIV), are at risk for rapid progression of tuberculosis (TB). We aimed to describe TB clinical presentations, diagnostic pathways and treatment outcomes in CLHIV compared to children without HIV in Cameroon and Kenya. METHODS This sub-analysis of a cluster-randomized trial evaluating the integration of pediatric TB services from May 2019 to March 2021 enrolled children age < 5 years with TB. We estimated the HIV infection rate with 95% confidence interval (CI). We compared TB clinical presentations, diagnostic pathways and treatment outcomes in CLHIV and children without HIV. Finally, we investigated whether HIV infection was associated with a shorter time to TB diagnosis (≤ 3 months from symptoms onset) after adjusting for covariates. Univariable and multivariable logistic regression analysis were performed with adjusted odds ratios (AORs) presented as measures of the association of covariates with HIV status and with shorter time to TB diagnosis. RESULTS We enrolled 157 children with TB (mean age was 1.5 years) and 22/157 (14.0% [9.0-20.4%]) were co-infected with HIV. CLHIV were more likely to initially present with acute malnutrition (AOR 3.16 [1.14-8.71], p = 0.027). Most TB diagnoses (140/157, 89%) were made clinically with pulmonary TB being the most common presentation; however, there was weak evidence of more frequent bacteriologic confirmation of TB in CLHIV, 18% vs. 9% (p = 0.067), due to the contribution of lateral-flow urine lipoarabinomannan to the diagnosis. HIV positivity (AOR: 6.10 [1.32-28.17], p = 0.021) was independently associated with a shorter time to TB diagnosis as well as fatigue (AOR: 6.58 [2.28-18.96], p = 0.0005), and existence of a household contact diagnosed with TB (AOR: 5.60 [1.58-19.83], p = 0.0075), whereas older age (AOR: 0.35 [0.15-0.85], p = 0.020 for age 2-5 years), night sweats (AOR: 0.24 [0.10-0.60], p = 0.0022) and acute malnutrition (AOR: 0.36 [0.14-0.92], p = 0.034) were associated with a delayed diagnosis. The case fatality rate was 9% (2/22) in CLHIV and 4% (6/135) in children without HIV, p = 0.31. CONCLUSIONS These results altogether advocate for better integration of TB services into all pediatric entry points with a special focus on nutrition services, and illustrate the importance of non-sputum-based TB diagnostics especially in CLHIV. TRIAL REGISTRATION NCT03862261, first registration 05/03/2019.
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Affiliation(s)
- L Powell
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Medical University of South Carolina, Charleston, SC, USA
| | - L Denoeud-Ndam
- Elizabeth Glaser Pediatric AIDS Foundation, Geneva, Switzerland.
| | - N Herrera
- Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA
| | - R Masaba
- Elizabeth Glaser Pediatric AIDS Foundation, Nairobi, Kenya
| | - B Tchounga
- Elizabeth Glaser Pediatric AIDS Foundation, Yaounde, Cameroon
| | - S Siamba
- Elizabeth Glaser Pediatric AIDS Foundation, Nairobi, Kenya
| | - M Ouma
- Elizabeth Glaser Pediatric AIDS Foundation, Nairobi, Kenya
| | - S J Petnga
- Elizabeth Glaser Pediatric AIDS Foundation, Yaounde, Cameroon
| | - R Machekano
- Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA
| | - B Pamen
- Department of Disease, Epidemic and pandemic control, Ministry of Health, Yaounde, Cameroon
| | - G Okomo
- Department of Health, Homa Bay county Government, Homa Bay, Kenya
| | - L Simo
- Elizabeth Glaser Pediatric AIDS Foundation, Yaounde, Cameroon
| | - M Casenghi
- Elizabeth Glaser Pediatric AIDS Foundation, Geneva, Switzerland
| | - N Rakhmanina
- Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA
| | - A Tiam
- Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA
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18
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Ndege R, Ngome O, Vanobberghen F, Bani F, Temba Y, Wilson H, Hella J, Gingo W, Sasamalo M, Mnzava D, Kimera N, Hiza H, Wigayi J, Mapesi H, Kato IB, Mhimbira F, Reither K, Battegay M, Paris DH, Weisser M, Rohacek M. Ultrasononography in Managing Extrapulmonary Tuberculosis: A Randomized, Controlled, Parallel, Superiority, Open-Label Trial. Clin Infect Dis 2023; 76:1013-1021. [PMID: 36331957 PMCID: PMC10029990 DOI: 10.1093/cid/ciac871] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/19/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Patients with suspected extrapulmonary tuberculosis are often treated empirically. We hypothesized that extended focused assessment with sonography for human immunodeficiency virus (HIV) and tuberculosis (eFASH), in combination with other tests, would increase the proportion of correctly managed patients with suspected extrapulmonary tuberculosis. METHODS This trial in adults with suspected extrapulmonary tuberculosis was performed in a rural and an urban hospital in Tanzania. Participants were randomized 1:1 to intervention or routine care, stratified by site and HIV status. All participants underwent clinical evaluation, chest radiography, and testing with sputum Xpert MTB/RIF and urine Xpert MTB/RIF Ultra assays. The intervention was a management algorithm based on results of eFASH plus microbiology, adenosine deaminase (ADA), and chest radiography. The primary outcome was the proportion of correctly managed patients. The presence of positive microbiological or ADA results defined definite tuberculosis. An independent end-point review committee determined diagnoses of probable or no tuberculosis. We evaluated outcomes using logistic regression models, adjusted for randomization stratification factors. RESULTS From September 2018 to October 2020, a total of 1036 patients were screened and 701 were randomized (350 to the intervention and 351 to the control group). Of participants in the intervention group, 251 (72%) had a positive eFASH outcome. In 258 (74%) of the intervention and 227 (65%) of the control participants antituberculosis was initiated treatment at baseline. More intervention participants had definite tuberculosis (n = 124 [35%]), compared with controls (n = 85 [24%]). There was no difference between groups for the primary outcome (intervention group, 266 of 286 [93%]; control group, 245 of 266 [92%]; odds ratio, 1.14 [95% confidence interval: .60-2.16]; P = .68). There were no procedure-associated adverse events. CONCLUSIONS eFASH did not change the proportion of correctly managed patients but increased the proportion of those with definite tuberculosis. CLINICAL TRIALS REGISTRATION Pan African Registry: PACTR201712002829221.
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Affiliation(s)
- Robert Ndege
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
- Saint Francis Referral Hospital, Ifakara, United Republic of Tanzania
- Swiss Tropical and Public Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Omary Ngome
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
- Mwananyamala Regional Referral Hospital, Dar es Salaam, United Republic of Tanzania
| | - Fiona Vanobberghen
- Swiss Tropical and Public Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Farida Bani
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
- Saint Francis Referral Hospital, Ifakara, United Republic of Tanzania
| | - Yvan Temba
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
- Mwananyamala Regional Referral Hospital, Dar es Salaam, United Republic of Tanzania
| | - Herieth Wilson
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
| | - Jerry Hella
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
| | - Winfrid Gingo
- Saint Francis Referral Hospital, Ifakara, United Republic of Tanzania
| | | | - Dorcas Mnzava
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
| | - Namvua Kimera
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
| | - Hellen Hiza
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
- Swiss Tropical and Public Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - John Wigayi
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
| | - Herry Mapesi
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
- Swiss Tropical and Public Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Irene B Kato
- Mwananyamala Regional Referral Hospital, Dar es Salaam, United Republic of Tanzania
| | | | - Klaus Reither
- Swiss Tropical and Public Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Manuel Battegay
- University of Basel, Basel, Switzerland
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Daniel H Paris
- Swiss Tropical and Public Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Maja Weisser
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
- Swiss Tropical and Public Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Martin Rohacek
- Ifakara Health Institute, Ifakara, United Republic of Tanzania
- Saint Francis Referral Hospital, Ifakara, United Republic of Tanzania
- Swiss Tropical and Public Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
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19
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Karuniawati A, Burhan E, Koendhori EB, Sari D, Haryanto B, Nuryastuti T, Gayatri AAAY, Bahrun U, Kusumawati RL, Sugiyono RI, Susanto NH, Diana A, Kosasih H, Naysilla AM, Lokida D, Neal A, Siddiqui S, Lau CY, Karyana M. Performance of Xpert MTB/RIF and sputum microscopy compared to sputum culture for diagnosis of tuberculosis in seven hospitals in Indonesia. Front Med (Lausanne) 2023; 9:909198. [PMID: 36743681 PMCID: PMC9896521 DOI: 10.3389/fmed.2022.909198] [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: 03/31/2022] [Accepted: 12/07/2022] [Indexed: 01/21/2023] Open
Abstract
Introduction Tuberculosis (TB) is a major public health concern in Indonesia, where the incidence was 301 cases per 100,000 inhabitants in 2020 and the prevalence of multi-drug resistant (MDR) TB is increasing. Diagnostic testing approaches vary across Indonesia due to resource limitations. Acid-fast bacilli (AFB) smear is widely used, though Xpert MTB/RIF has been the preferred assay for detecting TB and rifampicin resistance since 2012 due to higher sensitivity and ability to rapidly identify rifampicin resistance. However, <1,000 Xpert instruments were available in Indonesia as of 2020 and the Xpert supply chain has suffered interruptions. Methods We compared the performance of Xpert MTB/RIF and AFB smear to facilitate optimization of TB case identification. We analyzed baseline data from a cohort study of adults with pulmonary TB conducted at seven hospitals across Indonesia. We evaluated sensitivity and specificity of AFB smear and Xpert MTB/RIF using Mycobacterium tuberculosis (Mtb) culture as the gold standard, factors associated with assay results, and consistency of Xpert MTB/RIF with drug susceptibility test (DST) in detecting rifampicin resistance. Results Sensitivity of AFB smear was significantly lower than Xpert MTB/RIF (86.2 vs. 97.4%, p-value <0.001), but specificity was significantly better (86.7 vs. 73.3%, p-value <0.001). Performance varied by hospital. Positivity rate for AFB smear and Mtb culture was higher in subjects with pulmonary cavities and in morning sputum samples. Consistency of Xpert MTB/RIF with DST was lower in those with rifampicin- sensitive TB by DST. Discussion Additional evaluation using sputa from primary and secondary Indonesian health centers will increase the generalizability of the assessment of AFB smear and Xpert MTB/RIF performance, and better inform health policy. Clinical trial registration [https://clinicaltrials.gov/], identifier [NCT027 58236].
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Affiliation(s)
- Anis Karuniawati
- Department of Microbiology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Erlina Burhan
- Department of Pulmonary and Respiratory Medicine, Faculty of Medicine, Universitas Indonesia, Persahabatan Hospital, Jakarta, Indonesia
| | - Eko Budi Koendhori
- Department of Medical Microbiology, Faculty of Medicine, Universitas Airlangga, Dr. Soetomo Hospital, Surabaya, Indonesia
| | - Desvita Sari
- Department of Microbiology, Faculty of Medicine, Universitas Diponegoro, Dr. Kariadi Hospital, Semarang, Indonesia
| | - Budi Haryanto
- Microbiology Unit, Persahabatan Hospital, Jakarta, Indonesia
| | - Titik Nuryastuti
- Department of Microbiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - A. A. A. Yuli Gayatri
- Department of Internal Medicine, Faculty of Medicine, Universitas Udayana, Prof. IGNG. Ngoerah General Hospital, Bali, Indonesia
| | - Uleng Bahrun
- Department of Clinical Pathology, Faculty of Medicine, University of Hasanuddin, Dr. Wahidin Sudirohusodo Hospital, Makassar, Indonesia
| | - R. Lia Kusumawati
- Department of Microbiology, Faculty of Medicine, Universitas Sumatera Utara, H. Adam Malik General Hospital, Medan, Indonesia
| | - Retna Indah Sugiyono
- Indonesia Research Partnership on Infectious Disease (INA-RESPOND), Jakarta, Indonesia
| | - Nugroho Harry Susanto
- Indonesia Research Partnership on Infectious Disease (INA-RESPOND), Jakarta, Indonesia
| | - Aly Diana
- Indonesia Research Partnership on Infectious Disease (INA-RESPOND), Jakarta, Indonesia,Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Sumedang, Indonesia
| | - Herman Kosasih
- Indonesia Research Partnership on Infectious Disease (INA-RESPOND), Jakarta, Indonesia,*Correspondence: Herman Kosasih,
| | | | - Dewi Lokida
- Department of Clinical Pathology, Tangerang District Hospital, Tangerang, Indonesia
| | - Aaron Neal
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Sophia Siddiqui
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Chuen-Yen Lau
- HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Muhammad Karyana
- National Institute of Health Research and Development, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia
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20
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Inbaraj LR, Daniel J, Rajendran P, Bhaskar A, Srinivasalu VA, Narayanan MKS, Shewade HD, Kirubakaran R, Scandrett K, Malaisamy M, Takwoingi Y, Padmapriyadarsini C. Truenat MTB assays for pulmonary tuberculosis and rifampicin resistance in adults. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2023; 2023:CD015543. [PMCID: PMC9837843 DOI: 10.1002/14651858.cd015543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the diagnostic accuracy of Truenat assays (MTB, MTB Plus, and MTB RIF Dx) for detecting pulmonary tuberculosis and rifampicin resistance in adults with presumptive pulmonary tuberculosis.
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Affiliation(s)
| | - Leeberk Raja Inbaraj
- Department of Clinical ResearchICMR – National Institute for Research in TuberculosisChennaiIndia
| | - Jefferson Daniel
- Department of Pulmonary MedicineChristian Medical CollegeVelloreIndia
| | - Priya Rajendran
- Department of BacteriologyICMR – National Institute for Research in TuberculosisChennaiIndia
| | - Adhin Bhaskar
- Department of BiostatisticsICMR – National Institute for Research in TuberculosisChennaiIndia
| | - Vignes Anand Srinivasalu
- Department of Clinical ResearchICMR - National Institute for Research in TuberculosisChennaiIndia
| | - Mukesh KS Narayanan
- Department of EpidemiologyICMR – National Institute for Research in TuberculosisChennaiIndia
| | - Hemant D Shewade
- Division of Health System ResearchICMR – National Institute of EpidemiologyChennaiIndia
| | - Richard Kirubakaran
- Prof. BV Moses Center for Evidence-Informed Health Care and Health PolicyChristian Medical CollegeVelloreIndia
| | - Katie Scandrett
- Test Evaluation Research Group, Institute of Applied Health ResearchUniversity of BirminghamBirminghamUK
| | - Muniyandi Malaisamy
- Department of Health EconomicsICMR – National Institute for Research in TuberculosisChennaiIndia
| | - Yemisi Takwoingi
- Test Evaluation Research Group, Institute of Applied Health ResearchUniversity of BirminghamBirminghamUK
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21
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Cai L, Hu X, Huang Y, Huang X, Tong Y. Editorial: Updates on tuberculosis control and management. Front Public Health 2023; 10:1126429. [PMID: 36684898 PMCID: PMC9853975 DOI: 10.3389/fpubh.2022.1126429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 12/23/2022] [Indexed: 01/07/2023] Open
Affiliation(s)
- Li Cai
- Department of Infectious Diseases, Wuhan Center for Disease Control and Prevention, Wuhan, China
- School of Public Health, Wuhan University, Wuhan, China
| | - Xinyi Hu
- Global Study Institute, University of Geneva, Geneva, Switzerland
| | - Yadong Huang
- Department of Hospital Infection Control, Wuhan No.1 Hospital, Wuhan, China
| | - Xibao Huang
- Department of Infectious Diseases, Hubei Center for Disease Control and Prevention, Wuhan, China
| | - Yeqing Tong
- Department of Infectious Diseases, Hubei Center for Disease Control and Prevention, Wuhan, China
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22
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Mukoka M, Twabi HH, Msefula C, Semphere R, Ndhlovu G, Lipenga T, Sikwese TD, Malisita K, Choko A, Corbett EL, MacPherson P, Nliwasa M. Utility of Xpert MTB/RIF Ultra and digital chest radiography for the diagnosis and treatment of TB in people living with HIV: a randomised controlled trial (XACT-TB). Trans R Soc Trop Med Hyg 2023; 117:28-37. [PMID: 35963826 PMCID: PMC9808509 DOI: 10.1093/trstmh/trac079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/09/2022] [Accepted: 07/27/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND TB is a leading cause of morbidity among HIV positive individuals. Accurate algorithms are needed to achieve early TB diagnosis and treatment. We investigated the use of Xpert MTB/RIF Ultra in combination with chest radiography for TB diagnosis in ambulatory HIV positive individuals. METHODS This was a randomised controlled trial with a 2-by-2 factorial design. Outpatient HIV clinic attendees with cough were randomised to four arms: Arm 1-Standard Xpert/no chest radiography (CXR); Arm 2-Standard Xpert/CXR; Arm 3-Xpert Ultra/no CXR; and Arm 4-Xpert Ultra/CXR. Participants were followed up at days 28 and 56 to assess for TB treatment initiation. RESULTS We randomised 640 participants. Bacteriologically confirmed TB treatment initiation at day 28 were: Arm 1 (8.4% [14/162]), Arm 2 (6.9% [11/159]), Arm 3 (8.2% [13/159]) and Arm 4 (5.6% [9/160]) and between Xpert Ultra group (Arms 3 and 4) (6.9% [22/319]) vs Standard Xpert group (Arms 1 and 2) (7.8% [25/321]), risk ratio 0.89 (95% CI 0.51 to 1.54). By day 56, there were also similar all-TB treatment initiations in the x-ray group (Arms 2 and 4) (16.0% [51/319]) compared with the no x-ray group (Arms 1 and 3) (13.1% [42/321]), risk ratio 1.22 (95% CI 0.84 to 1.78); however, the contribution of clinically diagnosed treatment initiations were higher in x-ray groups (50.9% vs 19.0%). CONCLUSIONS Xpert Ultra performed similarly to Xpert MTB/RIF. X-rays are useful for TB screening but further research should investigate how to mitigate false-positive treatment initiations.
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Affiliation(s)
- Madalo Mukoka
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Hussein H Twabi
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Chisomo Msefula
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
| | - Robina Semphere
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Gabriel Ndhlovu
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Trancizeo Lipenga
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
| | - Tionge Daston Sikwese
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
| | - Kenneth Malisita
- Lighthouse Umodzi centre, Queen Elizabeth Central Hospital, P.O. Box 95, Blantyre, Malawi
| | - Augustine Choko
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
| | - Elizabeth L Corbett
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Peter MacPherson
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
- Department of Public Health and Policy, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Marriott Nliwasa
- Pathology Department, Helse Nord TB Initiative, Kamuzu University of Health Sciences, Private Bag 360, Blantyre, Malawi
- Public Health Group, Malawi–Liverpool–Wellcome Trust Clinical Research Programme, P.O. Box 30096, Blantyre, Malawi
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23
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Xu JC, Shi X, Ma X, Gu WF, Fang ZX, Zhang H, Fan XY. Diagnosis of extrapulmonary tuberculosis by ultrasound-guided biopsy: A retrospective comparison study. Front Cell Infect Microbiol 2023; 13:1154939. [PMID: 37033480 PMCID: PMC10075254 DOI: 10.3389/fcimb.2023.1154939] [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: 01/31/2023] [Accepted: 03/07/2023] [Indexed: 04/11/2023] Open
Abstract
Objective To compare the diagnostic performance of laboratory assays on the ultrasound-guided core needle biopsy samples for diagnosis of extra-pulmonary tuberculosis (EPTB) in HIV-positive and HIV-negative patients. Methods A total of 217 patients suspected to have EPTB underwent lesion biopsy from 2017 to 2020. Results of laboratory tests on the biopsy and non-biopsy samples were collected with clinical data for retrospective analysis of test utility. The calculated diagnostic accuracy of the tests was stratified according to the specimen types and HIV status. Results The cohort contained 118 patients with a final positive diagnosis of extrapulmonary tuberculosis (EPTB group, 54.4%) and 99 finally diagnosed as without TB (non-EPTB group, 45.6%). The risk factor for EPTB was HIV co-infection (OR 2.22, 95% CI 1.17-4.28, p = 0.014). In biopsy samples, GeneXpert (Xpert) showed higher sensitivity (96.6% [91.6-98.7], p < 0.0001) than culture (56.1% [47.0-64.9]). Regardless of HIV status, Xpert had the highest sensitivity (>95%) and specificity (nearly 100%) of any methods. In non-biopsy samples, only T-SPOT.TB (T-SPOT) showed higher sensitivity than culture (90.9% [62.3-99.5] vs 35.3% [17.3-58.7], p = 0.0037). Furthermore, the sensitivities of Xpert were lower in non-biopsy samples (60.0% [23.1-92.9], p = 0.022) than in biopsy samples (100% [86.7-100]). Even in smear-negative biopsy samples, Xpert still had higher sensitivity than culture and retained high specificity (100% [95.7-100]). Conclusion Superior performance of Xpert in diagnosing EPTB was observed regardless of HIV status and specimen types. Nevertheless, the biopsy samples still substantially facilitated the accurate diagnosis of extrapulmonary tuberculosis.
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Affiliation(s)
- Jin-Chuan Xu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Xia Shi
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Xin Ma
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Wen-fei Gu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China
| | - Zhi-xiong Fang
- Department of Infectious Diseases and Public Health, Central Hospital of Xiangtan, Xiangtan, China
| | - Hui Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
- *Correspondence: Xiao-Yong Fan, ; Hui Zhang,
| | - Xiao-Yong Fan
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China
- *Correspondence: Xiao-Yong Fan, ; Hui Zhang,
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Jayasooriya S, Dimambro-Denson F, Beecroft C, Balen J, Awokola B, Mitchell C, Kampmann B, Campbell F, Dodd P, Mortimer K. Patients with presumed tuberculosis in sub-Saharan Africa that are not diagnosed with tuberculosis: a systematic review and meta-analysis. Thorax 2023; 78:50-60. [PMID: 35074900 PMCID: PMC9763185 DOI: 10.1136/thoraxjnl-2021-217663] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 12/07/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Many patients in sub-Saharan Africa whom a diagnosis of tuberculosis is considered are subsequently not diagnosed with tuberculosis. The proportion of patients this represents, and their alternative diagnoses, have not previously been systematically reviewed. METHODS We searched four databases from inception to 27 April 2020, without language restrictions. We included all adult pulmonary tuberculosis diagnostic studies from sub-Saharan Africa, excluding case series and inpatient studies. We extracted the proportion of patients with presumed tuberculosis subsequently not diagnosed with tuberculosis and any alternative diagnoses received. We conducted a random effects meta-analysis to obtain pooled estimates stratified by passive and active case finding. RESULTS Our search identified 1799 studies, of which 18 studies (2002-2019) with 14 527 participants from 10 African countries were included. The proportion of patients with presumed tuberculosis subsequently not diagnosed with tuberculosis was 48.5% (95% CI 39.0 to 58.0) in passive and 92.8% (95% CI 85.0 to 96.7) in active case-finding studies. This proportion increased with declining numbers of clinically diagnosed tuberculosis cases. A history of tuberculosis was documented in 55% of studies, with just five out of 18 reporting any alternative diagnoses. DISCUSSION Nearly half of all patients with presumed tuberculosis in sub-Saharan Africa do not have a final diagnosis of active tuberculosis. This proportion may be higher when active case-finding strategies are used. Little is known about the healthcare needs of these patients. Research is required to better characterise these patient populations and plan health system solutions that meet their needs. PROSPERO REGISTRATION NUMBER CRD42018100004.
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Affiliation(s)
| | | | - Claire Beecroft
- School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK
| | - Julie Balen
- School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK
| | - Babatunde Awokola
- Vaccines and Immunity Theme, Medical Research Council The Gambia, Banjul, Gambia
| | - Caroline Mitchell
- Academic Unit of Primary Medical Care, The University of Sheffield, Sheffield, UK
| | - Beate Kampmann
- Vaccines and Immunity Theme, Medical Research Council The Gambia, Banjul, Gambia
- Paediatric Infection & Immunity, London School of Hygiene and Tropical Medicine Faculty of Infectious and Tropical Diseases, London, UK
| | - Fiona Campbell
- School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK
| | - Pete Dodd
- School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK
| | - Kevin Mortimer
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
- Deparment of Respiratory Medicine, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
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25
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Ren Y, Chen B, Zhao J, Tan X, Chen X, Zhou L, Wang F, Peng Y, Jiang J. Trends of Rifampicin Resistance in Patients with Pulmonary Tuberculosis: A Longitudinal Analysis Based on Drug Resistance Screening in Eastern China Between 2015 and 2019. Infect Drug Resist 2022; 15:7707-7717. [PMID: 36597456 PMCID: PMC9805726 DOI: 10.2147/idr.s394089] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/14/2022] [Indexed: 12/29/2022] Open
Abstract
Objective To understand the trend of overall rifampicin resistance rates for tuberculosis in Zhejiang Province between 2015 and 2019. Methods The basic demographic information of patients with tuberculosis who were screened for drug resistance in Zhejiang Province between January 1, 2015 and December 31, 2019 was collected through the national Tuberculosis Information Management System. The data were processed and analyzed using IBM SPSS 26.0 and GeoDa 1.14 software. Results The total rifampicin resistance rate was 5.9% in 53,893 validated cases of drug resistance screening conducted in patients with pulmonary tuberculosis in Zhejiang Province during the study period. There was a decreasing trend in the rifampicin resistance rate in both initial and re-treated patients (P<0.001), but the rifampicin resistance rate was higher in re-treated TB patients than in TB patients receiving their initial treatment (11.4% vs 4.2%). The rate of drug resistance steadily decreased in all prefectures, and there was a significant upward trend in the use of the Xpert MTB/RIF rapid assay. An increasing trend was also identified in the rate of rifampicin and ofloxacin co-resistance (P<0.001). Conclusion The overall rate of rifampin resistance in patients with tuberculosis in Zhejiang Province in the past five years has shown a decreasing trend, but the rate of resistance to ofloxacin was high. Resistance testing to fluoroquinolones should be carried out as early as possible in patients whose diagnosis results indicate rifampin resistance, and more effective second-line treatment plans should be developed based on the results of this testing.
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Affiliation(s)
- Yanli Ren
- School of Public Health, Hangzhou Normal University, Hangzhou, People’s Republic of China
| | - Bin Chen
- Zhejiang Center for Disease Control and Prevention, Hangzhou, People’s Republic of China
| | - Jiaying Zhao
- School of Public Health, Xiamen University, Fujian, People’s Republic of China
| | - Xiaohua Tan
- School of Public Health, Hangzhou Normal University, Hangzhou, People’s Republic of China
| | - Xinyi Chen
- Zhejiang Center for Disease Control and Prevention, Hangzhou, People’s Republic of China
| | - Lin Zhou
- Zhejiang Center for Disease Control and Prevention, Hangzhou, People’s Republic of China
| | - Fei Wang
- Zhejiang Center for Disease Control and Prevention, Hangzhou, People’s Republic of China
| | - Ying Peng
- Zhejiang Center for Disease Control and Prevention, Hangzhou, People’s Republic of China,Correspondence: Ying Peng; Jianmin Jiang, Email ;
| | - Jianmin Jiang
- School of Public Health, Hangzhou Normal University, Hangzhou, People’s Republic of China,Zhejiang Center for Disease Control and Prevention, Hangzhou, People’s Republic of China
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26
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Mousavian Z, Folkesson E, Fröberg G, Foroogh F, Correia-Neves M, Bruchfeld J, Källenius G, Sundling C. A protein signature associated with active tuberculosis identified by plasma profiling and network-based analysis. iScience 2022; 25:105652. [PMID: 36561889 PMCID: PMC9763869 DOI: 10.1016/j.isci.2022.105652] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 09/19/2022] [Accepted: 11/18/2022] [Indexed: 11/23/2022] Open
Abstract
Annually, approximately 10 million people are diagnosed with active tuberculosis (TB), and 1.4 million die of the disease. If left untreated, each person with active TB will infect 10-15 new individuals. The lack of non-sputum-based diagnostic tests leads to delayed diagnoses of active pulmonary TB cases, contributing to continued disease transmission. In this exploratory study, we aimed to identify biomarkers associated with active TB. We assessed the plasma levels of 92 proteins associated with inflammation in individuals with active TB (n = 20), latent TB (n = 14), or healthy controls (n = 10). Using co-expression network analysis, we identified one module of proteins with strong association with active TB. We removed proteins from the module that had low abundance or were associated with non-TB diseases in published transcriptomic datasets, resulting in a 12-protein plasma signature that was highly enriched in individuals with pulmonary and extrapulmonary TB and was further associated with disease severity.
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Affiliation(s)
- Zaynab Mousavian
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran
| | - Elin Folkesson
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Gabrielle Fröberg
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Microbiology, Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden
| | - Fariba Foroogh
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Margarida Correia-Neves
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B’s, PT Government Associate Laboratory, Braga, Portugal
| | - Judith Bruchfeld
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Gunilla Källenius
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Christopher Sundling
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
- Corresponding author
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Byanyima P, Kaswabuli S, Musisi E, Nabakiibi C, Zawedde J, Sanyu I, Sessolo A, Andama A, Worodria W, Huang L, Davis JL. Feasibility and Sensitivity of Saliva GeneXpert MTB/RIF Ultra for Tuberculosis Diagnosis in Adults in Uganda. Microbiol Spectr 2022; 10:e0086022. [PMID: 36154664 PMCID: PMC9603304 DOI: 10.1128/spectrum.00860-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 08/30/2022] [Indexed: 12/30/2022] Open
Abstract
The objective of this prospective observational study carried out at China-Uganda Friendship Hospital-Naguru in Kampala, Uganda, was to determine the performance of GeneXpert MTB/RIF Ultra (Xpert Ultra) molecular testing on saliva for active tuberculosis (TB) disease among consecutive adults undergoing TB diagnostic evaluation who were Xpert Ultra positive on sputum. We calculated sensitivity to determine TB diagnostic performance in comparison to a composite reference standard of Mycobacterium tuberculosis liquid and solid cultures on two spot sputum specimens. Xpert Ultra on a single saliva sample had a sensitivity of 90% (95% confidence interval [CI], 81 to 95%) relative to the composite sputum culture-based reference standard, similar to the composite sensitivity of 87% (95% CI, 77 to 94%) for fluorescence microscopy (FM) for acid-fast bacilli on two sputum smears. The sensitivity of salivary Xpert Ultra was 24% lower (95% CI for difference, 2 to 48%; P = 0.003) among persons living with HIV (71%; 95% CI, 44 to 90%) than among persons living without HIV (95%; 95% CI, 86 to 99%) and 46% higher (95% CI, 14 to 77%; P < 0.0001) among FM-positive (96%; 95% CI, 87 to 99%) than among FM-negative (50%; 95% CI, 19 to 81%) patients. The semiquantitative Xpert Ultra grade was systematically higher in sputum than in a paired saliva sample from the same patient. In conclusion, molecular testing of saliva for active TB diagnosis was feasible and almost as sensitive as molecular testing of sputum in a high TB burden setting. IMPORTANCE Tuberculosis is among the leading causes of morbidity and mortality worldwide, in large part because >3 million people go undiagnosed and untreated each year. Sputum has been the mainstay for TB diagnosis for over a century but can be difficult for patients to produce. In addition, the vigorous coughing required during sputum collection can lead to infection of nearby individuals and health workers. In this case-only study, applying the ultra-sensitive GeneXpert MTB/RIF Ultra molecular diagnostic assay to saliva detected 90% of culture-confirmed TB cases among 81 adults who were undergoing TB evaluation at the outpatient department of a general hospital in Uganda and tested sputum GeneXpert MTB/RIF Ultra positive. These results suggest that saliva may be a feasible and sensitive alternative to sputum for TB diagnosis, thereby meeting two key metrics proposed by the World Health Organization in its target performance profile for a nonsputum test for TB.
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Affiliation(s)
| | | | - Emmanuel Musisi
- Division of Infection and Global Health, School of Medicine, University of St. Andrews, United Kingdom
| | | | | | - Ingvar Sanyu
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Abdul Sessolo
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Alfred Andama
- Infectious Diseases Research Collaboration, Kampala, Uganda
- Department of Internal Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - William Worodria
- Infectious Diseases Research Collaboration, Kampala, Uganda
- Department of Internal Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Laurence Huang
- Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, California, USA
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, California, USA
| | - J. Lucian Davis
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Pulmonary, Critical Care, and Sleep Medicine Section, Yale School of Medicine, New Haven, Connecticut, USA
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Li Z. The Value of GeneXpert MTB/RIF for Detection in Tuberculosis: A Bibliometrics-Based Analysis and Review. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2022; 2022:2915018. [PMID: 36284547 PMCID: PMC9588380 DOI: 10.1155/2022/2915018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/26/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
With the continuous development of medical science and technology, especially with the advent of the era of precision diagnosis and treatment, molecular biology detection technology is widely valued and applied as an aid to early diagnosis of tuberculosis. The GeneXpert Mycobacterium tuberculosis Branching (MTB) technology is a suite of semi-nested real-time fluorescent quantitative PCR in vitro diagnostic technologies developed by Cepheid Inc. It targets the rifampicin resistance gene, rpoB, and can detect both MTB and resistance to rifampicin within 2 h. This review analyzed the papers related to GeneXpert using bibliometric software CiteSpace and Bibliometrix. A total of 151 articles were analyzed, spanning from 2011 to 2021. This bibliometrics-based review summarizes the history of the development of GeneXpert in tuberculosis diagnosis and its current status. Contributions of different countries to the topic, journal analysis, key paper analysis, and clustering of keywords were used to analyze this topic.
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Affiliation(s)
- Zhiyi Li
- Laboratory Medicine, Nanan Hospital, Nanan, Quanzhou 362300, Fujian, China
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Kakinda M, Tugumisirize D, Nyombi A, Mugisha M, Turyahabwe S, Walusimbi S, Matovu JKB. Comparison of tests done, and tuberculosis cases detected by Xpert® MTB/RIF and Xpert® MTB/RIF-Ultra in Uganda. PLoS One 2022; 17:e0275960. [PMID: 36215286 PMCID: PMC9550068 DOI: 10.1371/journal.pone.0275960] [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: 11/02/2020] [Accepted: 09/27/2022] [Indexed: 11/07/2022] Open
Abstract
Background Uganda introduced Xpert® MTB/RIF assay into its TB diagnostic algorithm in January 2012. In July 2018, this assay was replaced with Xpert® MTB/RIF Ultra assay. We set out to compare the tests done and tuberculosis cases detected by Xpert® MTB/RIF and Xpert® MTB/RIF Ultra assay in Uganda. Methods This was a before and after study, with the tests done and TB cases detected between Jan-June 2019 when using Xpert® MTB/RIF Ultra assay compared to those done between Jan-June 2018 while using Xpert® MTB/RIF assay. This data was analyzed using Stata version 13, it was summarized into measures of central tendency and the comparison between Xpert® MTB/RIF Ultra and Xpert® MTB/RIF was explored using a two-sided T-test which was considered significant if p <0.05. Results One hundred and twelve (112) GeneXpert sites out of a possible 239 were included in the study. 128,476 (M: 1147.11, SD: 842.88) tests were performed with Xpert® MTB/RIF Ultra assay, with 9693 drug-susceptible TB (DS-TB) cases detected (M: 86.54, SD: 62.12) and 144 (M: 1.28, SD: 3.42) Rifampicin Resistant TB cases (RR-TB). Whilst 107, 890 (M: 963.30, SD: 842.88) tests were performed with Xpert® MTB/RIF assay between, 8807 (M: 78.63, SD: 53.29) DS-TB cases were detected, and 147 (M: 1.31, SD: 2.39) RR-TB cases. The Number Need to Test (NNT) to get one TB case was 12 for Xpert® MTB/RIF and 13 for Xpert ®MTB/RIF Ultra. On comparing the two assays in terms of test performance (p = 0.75) and case detection both susceptible TB (p = 0.31) and RR-TB (p = 0.95) were not found statistically significant. Conclusions This study found no significant difference in test performance and overall detection of DS-TB and RR-TB when using Xpert® MTB/RIF Ultra and Xpert® MTB/RIF assays. The health systems approach should be used to elucidate all the probable potential of Xpert® MTB/RIF Ultra.
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Affiliation(s)
| | - Didas Tugumisirize
- National Tuberculosis and Leprosy Program, Ministry of Health, Kampala, Uganda
| | - Abdunoor Nyombi
- National Tuberculosis and Leprosy Program, Ministry of Health, Kampala, Uganda
| | - Marvin Mugisha
- National Tuberculosis and Leprosy Program, Ministry of Health, Kampala, Uganda
| | - Stavia Turyahabwe
- National Tuberculosis and Leprosy Program, Ministry of Health, Kampala, Uganda
| | - Simon Walusimbi
- Makerere University Lung Institute, Makerere University, Kampala, Uganda
- Makerere University College of Health Sciences, Makerere University, Kampala, Uganda
| | - Joseph K. B. Matovu
- Makerere University School of Public Health, Kampala, Makerere University, Kampala, Uganda
- Busitema University Faculty of Health Sciences, Busitema University, Mbale, Uganda
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Huang Y, Ai L, Wang X, Sun Z, Wang F. Review and Updates on the Diagnosis of Tuberculosis. J Clin Med 2022; 11:jcm11195826. [PMID: 36233689 PMCID: PMC9570811 DOI: 10.3390/jcm11195826] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/27/2022] [Accepted: 09/27/2022] [Indexed: 11/05/2022] Open
Abstract
Diagnosis of tuberculosis, and especially the diagnosis of extrapulmonary tuberculosis, still faces challenges in clinical practice. There are several reasons for this. Methods based on the detection of Mycobacterium tuberculosis (Mtb) are insufficiently sensitive, methods based on the detection of Mtb-specific immune responses cannot always differentiate active disease from latent infection, and some of the serological markers of infection with Mtb are insufficiently specific to differentiate tuberculosis from other inflammatory diseases. New tools based on technologies such as flow cytometry, mass spectrometry, high-throughput sequencing, and artificial intelligence have the potential to solve this dilemma. The aim of this review was to provide an updated overview of current efforts to optimize classical diagnostic methods, as well as new molecular and other methodologies, for accurate diagnosis of patients with Mtb infection.
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Aguilera-Alonso D, Solís-García G, Noguera-Julian A, González-Martín J, Román Cobeña A, Baquero-Artigao F, Toro Rueda C, Rodríguez-Molino P, Bloise Sánchez I, Vallmanya T, Bernet-Sánchez A, Minguell Domingo L, Rubio A, Saavedra-Lozano J, Ruiz-Serrano MJ, Blázquez-Gamero D, López-Roa P, Gomez-Pastrana D, López Prieto MD, López Medina EM, Gil-Brusola A, Martín Nalda A, Soriano-Arandes A, Tórtola T, Falcon-Neyra L, González Galán V, Tebruegge M, Santiago-García B. Accuracy of Xpert Ultra for the diagnosis of paediatric tuberculosis in a low TB burden country: a prospective multicentre study. Thorax 2022; 77:1023-1029. [PMID: 36357344 DOI: 10.1136/thorax-2021-218378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 07/28/2022] [Indexed: 11/04/2022]
Abstract
IntroductionChildhood pulmonary tuberculosis (TB) remains a diagnostic challenge. This study aimed to evaluate the performance of Xpert Ultra for the diagnosis of pulmonary TB in children in a low TB prevalence setting.MethodsProspective, multicentre, diagnostic accuracy study. Children with clinical or radiological suspicion of pulmonary TB were recruited at 11 paediatric units in Spain. Up to three gastric or sputum specimens were taken on 3 consecutive days, and analysed by Xpert MTB/RIF, Xpert Ultra and culture in parallel.Results86 children were included (median age 4.9 years, IQR 2.0–10.0; 51.2% male). The final diagnosis was pulmonary TB in 75 patients (87.2%); 33 (44.0%) were microbiologically confirmed. A total of 219 specimens, comprising gastric aspirates (n=194; 88.6%) and sputum specimens (n=25; 11.4%), were analysed. Using culture as reference standard and comparing individual specimens, the sensitivity was 37.8% (14/37) for Xpert MTB/RIF and 81.1% (30/37) for Xpert Ultra (p<0.001); specificity was 98.4% (179/182) and 93.4% (170/182), respectively (p=0.02). In the per-patient analysis, considering positive results on any specimen, the sensitivity was 42.9% (9/21) for Xpert MTB/RIF and 81.0% for Xpert Ultra (17/21, p=0.01); specificity was 96.9% (63/65) and 87.7% (57/65, p=0.07), respectively.ConclusionsIn children with pulmonary TB in a low burden setting, Xpert Ultra has significantly higher sensitivity than the previous generation of Xpert assay and only marginally lower specificity. Therefore, in children undergoing evaluation for suspected pulmonary TB, Xpert Ultra should be used in preference to Xpert MTB/RIF whenever possible.
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Burger Z, Aung HT, Seifert M, Mar TT, Harris V, Colman RE, Rodwell TC, Aung ST. Contributions of GeneXpert ® to TB diagnosis in Myanmar. Int J Tuberc Lung Dis 2022; 26:875-879. [PMID: 35996278 PMCID: PMC9423018 DOI: 10.5588/ijtld.22.0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND: Xpert® MTB/RIF, a rapid, molecular TB diagnostic assay, can detect Mycobacterium tuberculosis and rifampin resistance directly from clinical sputum samples in <2 h with high sensitivity and specificity. The added diagnostic value of Xpert over smear microscopy at a national level in Myanmar has not been previously reported.METHODS: We evaluated 339,358 Xpert and demographic records captured from January 2015 to December 2018 as part of the Myanmar National TB Program Data Utilization and Connectivity Project to examine the additional diagnostic yield of Xpert relative to smear for the detection of M. tuberculosis for TB diagnosis in Myanmar, with a focus on people living with HIV (PLHIV) and sample type.RESULTS: Use of Xpert increased TB case detection by 40% compared to smear microscopy results. Among PLHIV, use of Xpert increased TB case detection by almost 100% compared to smear microscopy results.CONCLUSION: Xpert testing identified more patients with TB than smear microscopy alone, particularly in cohorts with significant proportions of PLHIV. The use of Xpert as a screening tool in countries with a high burden of TB could lead to significantly increased diagnosis of TB at a regional and national level.
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Affiliation(s)
- Z Burger
- University of California San Diego, La Jolla, CA, USA
| | - H T Aung
- Clinton Health Access Initiative, Yangon, Myanmar
| | - M Seifert
- University of California San Diego, La Jolla, CA, USA
| | - T T Mar
- Ministry of Health and Sports, Naypyitaw, Myanmar
| | - V Harris
- Foundation for Innovative New Diagnostics, Geneva, Switzerland
| | - R E Colman
- University of California San Diego, La Jolla, CA, USA
| | - T C Rodwell
- University of California San Diego, La Jolla, CA, USA
| | - S T Aung
- Ministry of Health and Sports, Naypyitaw, Myanmar
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Chen H, Li S, Zhao W, Deng J, Yan Z, Zhang T, Wen SA, Guo H, Li L, Yuan J, Zhang H, Ma L, Zheng J, Gao M, Pang Y. A Peptidomic Approach to Identify Novel Antigen Biomarkers for the Diagnosis of Tuberculosis. Infect Drug Resist 2022; 15:4617-4626. [PMID: 36003990 PMCID: PMC9394730 DOI: 10.2147/idr.s373652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 08/01/2022] [Indexed: 11/23/2022] Open
Abstract
Background Here, we conducted a peptidomic study in murine model to identify novel antigen biomarkers for the diagnosis of tuberculosis (TB) with improved performance. Methods Four recombinant proteins, including Mycobacterium tuberculosis protein 32 (MPT32), Mycobacterium tuberculosis protein 64 (MPT64), culture filtrate protein 10 (CFP10), and phosphate ABC transporter substrate-binding lipoprotein (PstS1) were expressed and intravenously injected into BALB/c mice. The serum were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The concentrations of candidate peptides in serum of suspected TB patients were determined using competitive enzyme-linked immunosorbent assay. Results A total of 65 peptides from 4 MTB precursor recombinant proteins were identified in mouse serum by LC-MS/MS, of which 5 peptides were selected as candidates for serological analysis. The concentrations of peptides MPT64-2, CFP10-2 and PstS1-2 in TB patients were significantly higher than those in non-TB patients. MPT64-2 exhibited the most promising sensitivity (81.4%), followed by PstS1-2 and CFP10-2. In addition, PstS1-2 had the highest specificity (93.3%), followed by CFP10-2 and MPT64-2. According to the area under the curve (AUC), MPT64-2 (AUC = 0.863), PstS1-2 (AUC = 0.812) and CFP10-2 (AUC = 0.809) exhibited better diagnostic validity. Conclusion We develop an effective approach to identify new antigen biomarkers via LC-MS/MS-based peptidomics. Multiple peptides exhibit promising efficacy in diagnosis of active TB patients.
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Affiliation(s)
- Hongmei Chen
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Weijie Zhao
- Clinical Trial Agency Office, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Jiaheng Deng
- Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Zhuohong Yan
- Department of Central Laboratory, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Tingting Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Shu' An Wen
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Haiping Guo
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Lei Li
- Electral Safety Research & Development Center, Beijing Normal University, Zhuhai, People's Republic of China
| | - Jianfeng Yuan
- Electral Safety Research & Development Center, Beijing Normal University, Zhuhai, People's Republic of China
| | - Hongtao Zhang
- Department of Central Laboratory, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Liping Ma
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Jianhua Zheng
- Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
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Worku G, Gumi B, Girma M, Mohammedbirhan B, Diriba G, Seid G, Getu M, Amare M, Sinshaw W, Ashagre W, Tschopp R, Carruth L, Ameni G. Drug sensitivity of clinical isolates of Mycobacterium tuberculosis and its association with bacterial genotype in the Somali region, Eastern Ethiopia. Front Public Health 2022; 10:942618. [PMID: 36062084 PMCID: PMC9428271 DOI: 10.3389/fpubh.2022.942618] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/25/2022] [Indexed: 01/21/2023] Open
Abstract
Background Drug resistance is becoming a major bottleneck for tuberculosis (TB) control programs in countries with high TB burdens. Although several studies were conducted on the drug sensitivity of Mycobacterium tuberculosis (M. tuberculosis) in central Ethiopia, there is a lack of data on the drug sensitivity of M. tuberculosis in the peripheral regions of the country including in the Somali region. Therefore, the objective of this study was to evaluate the drug sensitivity of M. tuberculosis and its association with bacterial genotype and evaluate the performance of Xpert MTB/RIF (Xpert) in detecting resistance to rifampicin (RIF). Methods A total of 302 M. tuberculosis were tested using the BD BACTEC-Mycobacteria Growth Indicator Tube 960 (MGIT 960) system for their drug sensitivity to the first-line anti-TB drugs. Besides, the drug sensitivity of 10 multidrug-resistant (MDR) M. tuberculosis isolates was evaluated for the second-line anti-TB drugs. Additionally, 177 of the 302 isolates were tested for genotypic drug resistance using Xpert. Chi-square and Fisher's exact tests were used for the evaluation of the association between variables and drug sensitivity. Results The overall prevalence of resistance to at least one drug was 11.6% (95% CI: 7.9-15.2%), while the prevalence of MDR was 3.3% (95% CI: 1.3-5.3%). Two of the 10 MDR isolates were resistant to capreomycin. The spoligotype Shared International Type (SIT) 149 was significantly associated with either monoresistance or MDR (p < 0.05). Of the 177 isolates tested by Xpert, 6.2% (11/177) were RIF-resistant. Discordant between Xpert and MGIT 960 was observed in one isolate and linked with probe-binding delay (ΔCT max = 5.8). The sensitivity and specificity of the Xpert assay were 100 and 99.4%, respectively, while its positive and negative predictive values were 90.9 and 100%, respectively. Conclusion The magnitude of MDR M. tuberculosis in the Somali region of Ethiopia was higher than the national prevalence of MDR-TB warranting the strengthening of the TB control program in the Somali region. Besides, drug resistance was associated with SIT 149 spoligotype (genotype). The Xpert assay was observed to have high sensitivity and specificity in detecting RIF-resistant M. tuberculosis, which is encouraging for its application widely.
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Affiliation(s)
- Getnet Worku
- College of Medicine and Health Sciences, Jigjiga University, Jigjiga, Ethiopia,Animal Health and Zoonotic Unit, Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Balako Gumi
- Animal Health and Zoonotic Unit, Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Musse Girma
- Animal Health and Zoonotic Unit, Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - Getu Diriba
- Ethiopian Public Health Institute, National Tuberculosis Reference Laboratory, Addis Ababa, Ethiopia
| | - Getachew Seid
- Ethiopian Public Health Institute, National Tuberculosis Reference Laboratory, Addis Ababa, Ethiopia
| | - Melak Getu
- Ethiopian Public Health Institute, National Tuberculosis Reference Laboratory, Addis Ababa, Ethiopia
| | - Misikir Amare
- Ethiopian Public Health Institute, National Tuberculosis Reference Laboratory, Addis Ababa, Ethiopia
| | - Waganeh Sinshaw
- Ethiopian Public Health Institute, National Tuberculosis Reference Laboratory, Addis Ababa, Ethiopia
| | - Wondimu Ashagre
- One-Health Unit, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Rea Tschopp
- One-Health Unit, Armauer Hansen Research Institute, Addis Ababa, Ethiopia,Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Lauren Carruth
- School of International Service, American University, Washington DC, DC, United States
| | - Gobena Ameni
- Animal Health and Zoonotic Unit, Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia,Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, United Arab Emirates University, Al Ain, United Arab Emirates,*Correspondence: Gobena Ameni ;
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Diagnostic Accuracy of the Truenat MTB Plus Assay and Comparison with the Xpert MTB/RIF Assay to Detect Tuberculosis among Hospital Outpatients in Cameroon. J Clin Microbiol 2022; 60:e0015522. [PMID: 35861529 PMCID: PMC9383115 DOI: 10.1128/jcm.00155-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
The Truenat MTB Plus assay is a rapid molecular test that has been recommended by the World Health Organization since 2020 as an initial test to detect tuberculosis (TB). The WHO highlighted the need to further evaluate assay performance to inform future recommendations, including in people living with HIV and compared to the Xpert MTB/RIF assay. We conducted a prospective evaluation of the diagnostic accuracy of the Truenat assay in Cameroon, a country with a high burden of HIV/TB. Adult outpatients were recruited at four hospitals; demographic information and medical history were collected, and participants produced two sputum specimens. Truenat and Xpert testing was performed on the same specimen, and performance was compared to TB culture as the reference standard. From November 2019 to December 2020, 945 participants were enrolled and included in the analysis. Among 251 participants with culture-positive TB, the sensitivity of Truenat MTB Plus was 91% (95% confidence interval [CI], 86 to 94%), similar to Xpert (90%; 95% CI, 86 to 93%). Among 74 HIV-positive participants with culture-positive TB, the sensitivity of Truenat MTB Plus was 85% (95% CI, 75 to 92%) compared to 81% for Xpert (95% CI, 70 to 89%). Among 47 participants with smear-negative TB, the sensitivity of Truenat MTB Plus was 55% (95% CI, 40 to 70%), similar to Xpert (53%; 95% CI, 38 to 68%). The specificity of Truenat MTB Plus was 96% (95% CI, 94 to 97%) compared to 99% (95% CI, 97 to 99%) for Xpert. For TB detection compared to the reference standard of TB culture, the performance of the Truenat MTB Plus assay was similar to that of Xpert in this population, including among people living with HIV.
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Floyd S, Klinkenberg E, de Haas P, Kosloff B, Gachie T, Dodd PJ, Ruperez M, Wapamesa C, Burnett MJ, Kalisvaart N, Vermaak R, Mainga T, Schaap A, Fidler S, Mureithi L, Shanaube K, Hayes R, Ayles H. Optimising Xpert-Ultra and culture testing to reliably measure tuberculosis prevalence in the community: findings from surveys in Zambia and South Africa. BMJ Open 2022; 12:e058195. [PMID: 35710250 PMCID: PMC9207894 DOI: 10.1136/bmjopen-2021-058195] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES Prevalence surveys remain the best way to assess the national tuberculosis (TB) burden in many countries. Challenges with using culture (the reference standard) for TB diagnosis in prevalence surveys have led to increasing use of molecular tests (Xpert assays), but discordance between these two tests has created problems for deciding which individuals have TB. We aimed to design an accurate diagnostic algorithm for TB prevalence surveys (TBPS) that limits the use of culture. DESIGN TBPS in four communities, conducted during 2019. SETTING Three Zambian communities and one South-African community included in the TBPS of the Tuberculosis Reduction through Expanded Anti-retroviral Treatment and Screening study. PARTICIPANTS Randomly sampled individuals aged ≥15 years. Among those who screened positive on chest X-ray or symptoms, two sputum samples were collected for field Xpert-Ultra testing and a third for laboratory liquid-culture testing. Clinicians reviewed screening and test results; in Zambia, participants with Mycobacterium tuberculosis-positive results were followed up 6-13 months later. Among 10 984 participants, 2092 screened positive, 1852 provided two samples for Xpert-Ultra testing, and 1009 had valid culture results. OUTCOMES Culture and Xpert-Ultra test results. RESULTS Among 946 culture-negative individuals, 917 were Xpert-negative, 12 Xpert-trace-positive and 17 Xpert-positive (grade very low, low, medium or high), with Xpert categorised as the highest grade of the two sample results. Among 63 culture-positive individuals, 8 were Xpert-negative, 9 Xpert-trace-positive and 46 Xpert-positive. Counting trace-positive results as positive, the sensitivity of Xpert-Ultra compared with culture was 87% (95% CI 76% to 94%) using two samples compared with 76% (95% CI 64% to 86%) using one. Specificity was 97% when trace-positive results were counted as positive and 98% when trace-positive results were counted as negative. Most Xpert-Ultra-positive/culture-negative discordance was among individuals whose Xpert-positive results were trace-positive or very low grade or they reported previous TB treatment. Among individuals with both Xpert-Ultra results grade low or above, the positive-predictive-value was 90% (27/30); 3/30 were plausibly false-negative culture results. CONCLUSION Using Xpert-Ultra as the primary diagnostic test in TBPS, with culture only for confirmatory testing, would identify a high proportion of TB cases while massively reducing survey culture requirements. TRIAL REGISTRATION NUMBER NCT03739736.
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Affiliation(s)
- Sian Floyd
- London School of Hygiene & Tropical Medicine, London, UK
| | - Eveline Klinkenberg
- KNCV Tuberculosis Foundation, Den Haag, The Netherlands
- Department of Global Health, Amsterdam University Medical Centres, Duivendrecht, The Netherlands
| | - Petra de Haas
- KNCV Tuberculosis Foundation, Den Haag, The Netherlands
| | - Barry Kosloff
- London School of Hygiene & Tropical Medicine, London, UK
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
| | - Thomas Gachie
- London School of Hygiene & Tropical Medicine, London, UK
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
| | - Pete J Dodd
- School of Health and Related Research, The University of Sheffield, Sheffield, UK
| | - Maria Ruperez
- London School of Hygiene & Tropical Medicine, London, UK
| | - Chali Wapamesa
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
| | | | | | | | - Tila Mainga
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
| | - Albertus Schaap
- London School of Hygiene & Tropical Medicine, London, UK
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
| | - Sarah Fidler
- HIV Clinical Trials Unit, Imperial College London, London, UK
| | | | - Kwame Shanaube
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
| | - Richard Hayes
- London School of Hygiene & Tropical Medicine, London, UK
| | - Helen Ayles
- London School of Hygiene & Tropical Medicine, London, UK
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
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Fluorescence In Situ Hybridization (FISH) Tests for Identifying Protozoan and Bacterial Pathogens in Infectious Diseases
. Diagnostics (Basel) 2022; 12:diagnostics12051286. [PMID: 35626441 PMCID: PMC9141552 DOI: 10.3390/diagnostics12051286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/16/2022] [Accepted: 05/18/2022] [Indexed: 12/02/2022] Open
Abstract
Diagnosing and treating many infectious diseases depends on correctly identifying the causative pathogen. Characterization of pathogen-specific nucleic acid sequences by PCR is the most sensitive and specific method available for this purpose, although it is restricted to laboratories that have the necessary infrastructure and finance. Microscopy, rapid immunochromatographic tests for antigens, and immunoassays for detecting pathogen-specific antibodies are alternative and useful diagnostic methods with different advantages and disadvantages. Detection of ribosomal RNA molecules in the cytoplasm of bacterial and protozoan pathogens by fluorescence in-situ hybridization (FISH) using sequence-specific fluorescently labelled DNA probes, is cheaper than PCR and requires minimal equipment and infrastructure. A LED light source attached to most laboratory light microscopes can be used in place of a fluorescence microscope with a UV lamp for FISH. A FISH test hybridization can be completed in 30 min at 37 °C and the whole test in less than two hours. FISH tests can therefore be rapidly performed in both well-equipped and poorly-resourced laboratories. Highly sensitive and specific FISH tests for identifying many bacterial and protozoan pathogens that cause disease in humans, livestock and pets are reviewed, with particular reference to parasites causing malaria and babesiosis, and mycobacteria responsible for tuberculosis.
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Bender Ignacio RA, Long J, Saha A, Nguyen FK, Joudeh L, Valinetz E, Mendelsohn SC, Scriba TJ, Hatherill M, Janes H, Churchyard G, Buchbinder S, Duerr A, Shah JA, Hawn TR. Mycobacterium tuberculosis infection, immune activation, and risk of HIV acquisition. PLoS One 2022; 17:e0267729. [PMID: 35503767 PMCID: PMC9064099 DOI: 10.1371/journal.pone.0267729] [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: 10/18/2021] [Accepted: 04/12/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Although immune activation is associated with HIV acquisition, the nature of inflammatory profiles that increase HIV risk, which may include responses to M. tuberculosis (Mtb) infection, are not well characterized. METHODS We conducted a nested case-control study using cryopreserved samples from persons who did and did not acquire HIV during the multinational Step clinical trial of the MRKAd5 HIV-1 vaccine. PBMCs from the last HIV-negative sample from incident HIV cases and controls were stimulated with Mtb-specific antigens (ESAT-6/CFP-10) and analyzed by flow cytometry with intracellular cytokine staining and scored with COMPASS. We measured inflammatory profiles with five Correlates of TB Risk (CoR) transcriptomic signatures. Our primary analysis examined the association of latent Mtb infection (LTBI; IFNγ+CD4+ T cell frequency) or RISK6 CoR signature with HIV acquisition. Conditional logistic regression analyses, adjusted for known predictors of HIV acquisition, were employed to assess whether TB-associated immune markers were associated with HIV acquisition. RESULTS Among 465 participants, LTBI prevalence (21.5% controls vs 19.1% cases, p = 0.51) and the RISK6 signature were not higher in those who acquired HIV. In exploratory analyses, Mtb antigen-specific polyfunctional CD4+ T cell COMPASS scores (aOR 0.96, 95% CI 0.77, 1.20) were not higher in those who acquired HIV. Two CoR signatures, Sweeney3 (aOR 1.38 (1.07, 1.78) per SD change) and RESPONSE5 (0.78 (0.61, 0.98)), were associated with HIV acquisition. The transcriptomic pattern used to differentiate active vs latent TB (Sweeney3) was most strongly associated with acquiring HIV. CONCLUSIONS LTBI, Mtb polyfunctional antigen-specific CD4+ T cell activation, and RISK6 were not identified as risks for HIV acquisition. In exploratory transcriptomic analyses, two CoR signatures were associated with HIV risk after adjustment for known behavioral and clinical risk factors. We identified host gene expression signatures associated with HIV acquisition, but the observed effects are likely not mediated through Mtb infection.
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Affiliation(s)
- Rachel A. Bender Ignacio
- Department of Medicine, University of Washington, Seattle, WA, United States of America
- Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- * E-mail:
| | - Jessica Long
- Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Aparajita Saha
- Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Felicia K. Nguyen
- Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Lara Joudeh
- Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Ethan Valinetz
- Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Simon C. Mendelsohn
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Thomas J. Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Holly Janes
- Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Gavin Churchyard
- Aurum Institute, Parktown, South Africa
- School of Public Health, University of Witwatersrand, Johannesburg, South Africa
- Department of Medicine, Vanderbilt University, Nashville, TN, United States of America
| | - Susan Buchbinder
- San Francisco Department of Public Health and Departments of Medicine and Epidemiology, University of California San Francisco, San Francisco, CA, United States of America
| | - Ann Duerr
- Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Javeed A. Shah
- Department of Medicine, University of Washington, Seattle, WA, United States of America
- Veteran Affairs Puget Sound Healthcare System, Seattle, WA, United States of America
| | - Thomas R. Hawn
- Department of Medicine, University of Washington, Seattle, WA, United States of America
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Chen J, Li L, Chen T, Yang X, Ru H, Li X, Yang X, Xie Q, Xu L. Predicting the risk of active pulmonary tuberculosis in people living with HIV: development and validation of a nomogram. BMC Infect Dis 2022; 22:388. [PMID: 35439965 PMCID: PMC9019965 DOI: 10.1186/s12879-022-07368-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 04/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diagnosis of pulmonary tuberculosis (PTB) among people living with HIV (PLHIV) was challenging. The study aimed to develop and validated a simple, convenient screening model for prioritizing TB among PLHIV. METHODS The study included eligible adult PLHIV participants who attended health care in Yunnan, China, from January 2016 to July 2019. Participants included before June 2018 were in the primary set; others were in the independent validation set. The research applied the least absolute shrinkage and selection operator regression to identify predictors associated with bacteriological confirmed PTB. The TB nomogram was developed by multivariate logistic regression. The C-index, receiver operating characteristic curve (ROC), the Hosmer-Lemeshow goodness of fit test (H-L), and the calibration curves were applied to evaluate and calibrate the nomogram. The developed nomogram was validated in the validation set. The clinical usefulness was assessed by cutoff analysis and decision curve analysis in the primary set. RESULT The study enrolled 766 PLHIV, of which 507 were in the primary set and 259 in the validation set, 21.5% and 14.3% individuals were confirmed PTB in two sets, respectively. The final nomogram included 5 predictors: current CD 4 cell count, the number of WHO screen tool, previous TB history, pulmonary cavity, and smoking status (p < 0.05). The C-statistic was 0.72 (95% CI 0.66-0.77) in primary set and 0.68 (95% CI 0.58-0.75) in validation set, ROC performed better than other models. The nomogram calibration was good (H-L χ2 = 8.14, p = 0.15). The area under the decision curve (0.025) outperformed the existing models. The optimal cutoff for screening TB among PLHIV was the score of 100 (sensitivity = 0.93, specificity = 0.35). CONCLUSION The study developed and validated a discriminative TB nomogram among PLHIV in the moderate prevalence of TB and HIV. The easy-to-use and straightforward nomogram would be beneficial for clinical practice and rapid risk screening in resource-limited settings.
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Affiliation(s)
- Jinou Chen
- Division of Tuberculosis Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Ling Li
- Family Health International Office, Kunming, China
| | - Tao Chen
- Division of Tuberculosis Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Xing Yang
- Division of Tuberculosis Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Haohao Ru
- Division of Tuberculosis Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Xia Li
- Yunnan Provincial Hospital of Infectious Disease, Kunming, China
| | - Xinping Yang
- Yunnan Provincial Hospital of Infectious Disease, Kunming, China
| | - Qi Xie
- Yunnan Provincial Hospital of Infectious Disease, Kunming, China
| | - Lin Xu
- Division of Tuberculosis Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming, China.
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Rimal R, Shrestha D, Pyakurel S, Poudel R, Shrestha P, Rai KR, Ghimire GR, Rai G, Rai SK. Diagnostic performance of GeneXpert MTB/RIF in detecting MTB in smear-negative presumptive TB patients. BMC Infect Dis 2022; 22:321. [PMID: 35365080 PMCID: PMC8973748 DOI: 10.1186/s12879-022-07287-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 03/20/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) is a leading cause of morbidity and mortality worldwide. Control of TB is lingering by the lack of diagnostic tests that are simple, rapid, yet accurate. Thus, smear-negative pulmonary TB often misses the diagnosis. The study evaluated the performance of GeneXpert MTB/RIF assay for the detection of Mycobacterium tuberculosis (MTB). METHODS The study was carried out from June to December 2016 in Nepal Tuberculosis Center, Bhaktapur, Nepal. A total of 173 sputum samples were collected and processed by microscopy [Auramine-O staining and Ziehl-Neelsen (ZN) staining], followed by GeneXpert MTB/RIF assay and culture in Lowenstein-Jensen (LJ) medium. RESULTS Of 173 sputum samples, 162 (93.6%) were smear-negative. Of 162 smear-negative sputum samples, 35 (21.6%) were confirmed to have MTB by culture, and 31 (19.1%) by GeneXpert MTB/RIF assay. Of 31 GeneXpert-positive samples, 25 (80.6%) were susceptible, 4 (12.9%) were resistant, and 2 (6.45%) were intermediate to rifampicin. The sensitivity, specificity, positive predictive value, and negative predictive value of GeneXpert MTB/RIF assay for smear-negative sputum samples were 74.3%, 96.6%, 86.7%, and 92%, respectively. The GeneXpert MTB/RIF has a substantial diagnostic agreement of 90.91% with culture (Cohen's Kappa coefficient = 0.73). CONCLUSION The diagnostic performance of GeneXpert MTB/RIF assay was almost on par with culture, and thus can be relied upon for MTB detection in smear-negative sputum samples.
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Affiliation(s)
- Raksha Rimal
- Department of Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal
| | - Dhiraj Shrestha
- Department of Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal
| | - Susil Pyakurel
- Department of Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal.
| | - Rashmi Poudel
- Department of Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal
| | - Prasha Shrestha
- Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Kul Raj Rai
- Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | | | - Ganesh Rai
- Department of Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal
| | - Shiba Kumar Rai
- Department of Microbiology, Nepal Medical College and Teaching Hospital, Kathmandu, Nepal
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Diagnostic Accuracy of Urine Lipoarabinomannan Testing in Early Morning Urine versus Spot Urine for Diagnosis of Tuberculosis among People with HIV. Microbiol Spectr 2022; 10:e0020822. [PMID: 35357206 PMCID: PMC9045128 DOI: 10.1128/spectrum.00208-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
The Fujifilm SILVAMP TB LAM (FujiLAM) assay offers improved sensitivity compared to Determine TB LAM Ag (AlereLAM) for detecting tuberculosis (TB) among people with HIV. Here, we examined the diagnostic value of FujiLAM testing on early morning urine versus spot urine and the added value of a two-sample strategy. We assessed the diagnostic accuracy of FujiLAM on cryopreserved urine samples collected and stored as part of a prospective cohort of adults with HIV presenting for antiretroviral treatment in Ghana. We compared FujiLAM sensitivity and specificity in spontaneously voided urine samples collected at inclusion (spot urine) versus in the first voided early morning urine (morning urine) and for a one (spot urine) versus two samples (spot and morning urine) strategy. Diagnostic accuracy was determined against both microbiological (using sputum culture and Xpert MTB/RIF testing of sputum and urine to confirm TB) and composite reference standards (including microbiologically confirmed and probable TB cases). Paired urine samples of spot and morning urine were available for 389 patients. Patients had a median CD4 cell count of 176 cells/μL (interquartile range [IQR], 52 to 361). Forty-three (11.0%) had confirmed TB, and 19 (4.9%) had probable TB. Overall agreement for spot versus morning urine test results was 94.6% (kappa, 0.81). Compared to a microbiological reference standard, the FujiLAM sensitivity (95% confidence interval [CI]) was 67.4% (51.5 to 80.9) for spot and 69.8% (53.9 to 82.8) for morning urine, an absolute difference (95% CI) of 2.4% (−10.2 to 14.8). Specificity was 90.2% (86.5 to 93.1) versus 89.0% (85.2 to 92.1) for spot and morning urine, respectively, a difference of 1.2% (−3.7 to 1.4). A two-sample strategy increased FujiLAM sensitivity from 67.4% (51.5 to 80.9) to 74.4% (58.8 to 86.5), a difference of 7.0% (−3.0 to 16.9), while specificity decreased from 90.2% (86.5 to 93.1) to 87.3% (83.3 to 90.6), a difference of −2.9% (−4.9 to −0.8). This study indicates that FujiLAM testing performs equivalently on spot and early morning urine samples. Sensitivity could be increased with a two-sample strategy but at the risk of lower specificity. These data can inform future guidelines and clinical practice. IMPORTANCE This study indicates that FujiLAM testing performs equivalently on spot and early morning urine samples for detecting tuberculosis among people with HIV. Sensitivity could be increased with a two-sample strategy but at the risk of lower specificity. These data can inform future guidelines and clinical practice around FujiLAM.
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Van't Hoog A, Viney K, Biermann O, Yang B, Leeflang MM, Langendam MW. Symptom- and chest-radiography screening for active pulmonary tuberculosis in HIV-negative adults and adults with unknown HIV status. Cochrane Database Syst Rev 2022; 3:CD010890. [PMID: 35320584 PMCID: PMC9109771 DOI: 10.1002/14651858.cd010890.pub2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND Systematic screening in high-burden settings is recommended as a strategy for early detection of pulmonary tuberculosis disease, reducing mortality, morbidity and transmission, and improving equity in access to care. Questioning for symptoms and chest radiography (CXR) have historically been the most widely available tools to screen for tuberculosis disease. Their accuracy is important for the design of tuberculosis screening programmes and determines, in combination with the accuracy of confirmatory diagnostic tests, the yield of a screening programme and the burden on individuals and the health service. OBJECTIVES To assess the sensitivity and specificity of questioning for the presence of one or more tuberculosis symptoms or symptom combinations, CXR, and combinations of these as screening tools for detecting bacteriologically confirmed pulmonary tuberculosis disease in HIV-negative adults and adults with unknown HIV status who are considered eligible for systematic screening for tuberculosis disease. Second, to investigate sources of heterogeneity, especially in relation to regional, epidemiological, and demographic characteristics of the study populations. SEARCH METHODS We searched the MEDLINE, Embase, LILACS, and HTA (Health Technology Assessment) databases using pre-specified search terms and consulted experts for unpublished reports, for the period 1992 to 2018. The search date was 10 December 2018. This search was repeated on 2 July 2021. SELECTION CRITERIA Studies were eligible if participants were screened for tuberculosis disease using symptom questions, or abnormalities on CXR, or both, and were offered confirmatory testing with a reference standard. We included studies if diagnostic two-by-two tables could be generated for one or more index tests, even if not all participants were subjected to a microbacteriological reference standard. We excluded studies evaluating self-reporting of symptoms. DATA COLLECTION AND ANALYSIS We categorized symptom and CXR index tests according to commonly used definitions. We assessed the methodological quality of included studies using the QUADAS-2 instrument. We examined the forest plots and receiver operating characteristic plots visually for heterogeneity. We estimated summary sensitivities and specificities (and 95% confidence intervals (CI)) for each index test using bivariate random-effects methods. We analyzed potential sources of heterogeneity in a hierarchical mixed-model. MAIN RESULTS The electronic database search identified 9473 titles and abstracts. Through expert consultation, we identified 31 reports on national tuberculosis prevalence surveys as eligible (of which eight were already captured in the search of the electronic databases), and we identified 957 potentially relevant articles through reference checking. After removal of duplicates, we assessed 10,415 titles and abstracts, of which we identified 430 (4%) for full text review, whereafter we excluded 364 articles. In total, 66 articles provided data on 59 studies. We assessed the 2 July 2021 search results; seven studies were potentially eligible but would make no material difference to the review findings or grading of the evidence, and were not added in this edition of the review. We judged most studies at high risk of bias in one or more domains, most commonly because of incorporation bias and verification bias. We judged applicability concerns low in more than 80% of studies in all three domains. The three most common symptom index tests, cough for two or more weeks (41 studies), any cough (21 studies), and any tuberculosis symptom (29 studies), showed a summary sensitivity of 42.1% (95% CI 36.6% to 47.7%), 51.3% (95% CI 42.8% to 59.7%), and 70.6% (95% CI 61.7% to 78.2%, all very low-certainty evidence), and a specificity of 94.4% (95% CI 92.6% to 95.8%, high-certainty evidence), 87.6% (95% CI 81.6% to 91.8%, low-certainty evidence), and 65.1% (95% CI 53.3% to 75.4%, low-certainty evidence), respectively. The data on symptom index tests were more heterogenous than those for CXR. The studies on any tuberculosis symptom were the most heterogeneous, but had the lowest number of variables explaining this variation. Symptom index tests also showed regional variation. The summary sensitivity of any CXR abnormality (23 studies) was 94.7% (95% CI 92.2% to 96.4%, very low-certainty evidence) and 84.8% (95% CI 76.7% to 90.4%, low-certainty evidence) for CXR abnormalities suggestive of tuberculosis (19 studies), and specificity was 89.1% (95% CI 85.6% to 91.8%, low-certainty evidence) and 95.6% (95% CI 92.6% to 97.4%, high-certainty evidence), respectively. Sensitivity was more heterogenous than specificity, and could be explained by regional variation. The addition of cough for two or more weeks, whether to any (pulmonary) CXR abnormality or to CXR abnormalities suggestive of tuberculosis, resulted in a summary sensitivity and specificity of 99.2% (95% CI 96.8% to 99.8%) and 84.9% (95% CI 81.2% to 88.1%) (15 studies; certainty of evidence not assessed). AUTHORS' CONCLUSIONS The summary estimates of the symptom and CXR index tests may inform the choice of screening and diagnostic algorithms in any given setting or country where screening for tuberculosis is being implemented. The high sensitivity of CXR index tests, with or without symptom questions in parallel, suggests a high yield of persons with tuberculosis disease. However, additional considerations will determine the design of screening and diagnostic algorithms, such as the availability and accessibility of CXR facilities or the resources to fund them, and the need for more or fewer diagnostic tests to confirm the diagnosis (depending on screening test specificity), which also has resource implications. These review findings should be interpreted with caution due to methodological limitations in the included studies and regional variation in sensitivity and specificity. The sensitivity and specificity of an index test in a specific setting cannot be predicted with great precision due to heterogeneity. This should be borne in mind when planning for and implementing tuberculosis screening programmes.
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Affiliation(s)
- Anja Van't Hoog
- Anja van't Hoog, Health Research & Training Consultancy, Utrecht, Netherlands
| | - Kerri Viney
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
- School of Public Health, The University of Sydney, Sydney, Australia
- Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland
| | - Olivia Biermann
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Bada Yang
- Epidemiology and Data Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Mariska Mg Leeflang
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Miranda W Langendam
- Epidemiology and Data Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
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Mbelele PM, Sabiiti W, Heysell SK, Sauli E, Mpolya EA, Mfinanga S, Gillespie SH, Addo KK, Kibiki G, Sloan DJ, Mpagama SG. Use of a molecular bacterial load assay to distinguish between active TB and post-TB lung disease. Int J Tuberc Lung Dis 2022; 26:276-278. [PMID: 35197168 PMCID: PMC8886960 DOI: 10.5588/ijtld.21.0459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- P M Mbelele
- Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - W Sabiiti
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK
| | - S K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - E Sauli
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - E A Mpolya
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - S Mfinanga
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania, National Institute for Medical Research (NIMR), Muhimbili Center, Dar es salaam, Tanzania
| | - S H Gillespie
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK
| | - K K Addo
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - G Kibiki
- Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, East African Health Research Commission (EAHRC), Bujumbura, Burundi
| | - D J Sloan
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK
| | - S G Mpagama
- Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
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LaCourse SM, Seko E, Wood R, Bundi W, Ouma GS, Agaya J, Richardson BA, John-Stewart G, Wandiga S, Cangelosi GA. Diagnostic performance of oral swabs for non-sputum based TB diagnosis in a TB/HIV endemic setting. PLoS One 2022; 17:e0262123. [PMID: 35025930 PMCID: PMC8758000 DOI: 10.1371/journal.pone.0262123] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 12/18/2021] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE We evaluated diagnostic performance of oral swab analysis (OSA) for tuberculosis (TB) in a high HIV/TB burden setting in Kenya. METHODS In this cross-sectional study, buccal swabs and sputum were collected from 100 participants with suspected TB in outpatient clinics in Kenya at enrollment and subsequent morning visits. Buccal swabs underwent IS6110-targeted qPCR analysis. Sputum was evaluated by Xpert MTB/RIF (Xpert) and culture. Diagnostic performance of OSA for TB diagnosis was evaluated relative to a combined reference of sputum Xpert and culture. RESULTS Among 100 participants, 54% were living with HIV (PLHIV). Twenty percent (20/100) of participants had confirmed TB (19/20 [95%] culture-positive, 17/20 [85%] Xpert-positive). Overall buccal swab sensitivity was 65.0% (95% CI 40.8-84.6%) vs. sputum Xpert/culture and 76.5% (95% CI 50.1-93.2%) vs. sputum Xpert alone. Specificity was 81.3% (95% CI 71.0-89.1%) and 81.9% (95% CI 72.0-89.5%) compared to sputum Xpert/culture and Xpert alone, respectively. Sensitivity among PLHIV (n = 54) with suspected TB was 83.3% (95% CI 35.9-99.6%) vs. sputum Xpert/culture and 100% (95% CI 47.8-100.0%) vs. sputum Xpert alone. Among participants with TB, mean OSA threshold quantitation cycle (Cq) value was lower (stronger signal) at subsequent morning compared to enrolment visit (33.4 SD ± 3.7 vs. 35.2 SD ± 2.9, p = 0.009). CONCLUSIONS In this pilot study, results confirm M. tuberculosis DNA is detectable in oral swabs including among PLHIV with fair diagnostic performance. Further work is needed to optimize OSA and evaluate its utility in diverse settings.
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Affiliation(s)
- Sylvia M. LaCourse
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, United States of America
- Department of Global Health, University of Washington, Seattle, WA, United States of America
| | - Evans Seko
- Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Rachel Wood
- Department of Environmental & Occupational Health, University of Washington, Seattle, WA, United States of America
| | - Wilfred Bundi
- Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | | | - Janet Agaya
- Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Barbra A. Richardson
- Department of Global Health, University of Washington, Seattle, WA, United States of America
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Grace John-Stewart
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, United States of America
- Department of Global Health, University of Washington, Seattle, WA, United States of America
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
- Department Pediatrics, University of Washington, Seattle, WA, United States of America
| | - Steve Wandiga
- Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Gerard A. Cangelosi
- Department of Global Health, University of Washington, Seattle, WA, United States of America
- Department of Environmental & Occupational Health, University of Washington, Seattle, WA, United States of America
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
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Zvinoera K, Olaru ID, Khan P, Mutsvangwa J, Denkinger CM, Kampira V, Coutinho D, Mutunzi H, Pepukai M, Chikaka E, Zinyowera S, Mharakurwa S, Kranzer K. The impact of changing the diagnostic algorithm for TB in Manicaland, Zimbabwe. Public Health Action 2021; 11:196-201. [PMID: 34956848 DOI: 10.5588/pha.21.0040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 08/29/2021] [Indexed: 11/10/2022] Open
Abstract
SETTING Governmental health facilities performing TB diagnostics in Manicaland, Zimbabwe. OBJECTIVE To investigate the effect of making Xpert® MTB/RIF the primary TB diagnostic for all patients presenting with presumptive TB on 1) the number of samples investigated for TB, 2) the proportion testing TB-positive, and 3) the proportion of unsuccessful results over time. DESIGN This retrospective study used data from GeneX-pert downloads, laboratory registers and quality assurance reports between 1 January 2017 and 31 December 2018. RESULTS The total number of Xpert tests performed in Manicaland increased from 3,967 in the first quarter of 2017 to 7,011 in the last quarter of 2018. Mycobacterium tuberculosis DNA was detected in 4.9-8.6% of the samples investigated using Xpert, with a higher yield in 2017 than in 2018. The overall proportion of unsuccessful Xpert assays due to "no results", errors and invalid results was 6.3%, and highly variable across sites. CONCLUSION Roll out of more sensitive TB diagnostics does not necessarily result in an increase of microbiologically confirmed TB diagnosis. While the number of samples tested using Xpert increased, the proportion of TB-positive tests decreased. GeneXpert soft- and hardware infrastructure needs to be strengthened to reduce the rate of unsuccessful assays and therefore, costs and staff time.
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Affiliation(s)
- K Zvinoera
- Ministry of Health and Child Care, Mutare Provincial Hospital, Mutare, Zimbabwe
| | - I D Olaru
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.,Biomedical Research and Training Institute, Harare, Zimbabwe
| | - P Khan
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
| | - J Mutsvangwa
- Biomedical Research and Training Institute, Harare, Zimbabwe
| | - C M Denkinger
- Division of Tropical Medicine, Centre for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.,German Centre for Infection Research (DZIF), partner site Heidelberg University Hospital, Heidelberg, Germany
| | - V Kampira
- Ministry of Health and Child Care, Mutare Provincial Hospital, Mutare, Zimbabwe
| | - D Coutinho
- Ministry of Health and Child Care, Mutare Provincial Hospital, Mutare, Zimbabwe
| | - H Mutunzi
- AIDS and TB Department, Ministry of Health and Child Care, Harare, Zimbabwe
| | - M Pepukai
- Biomedical Research and Training Institute, Harare, Zimbabwe
| | - E Chikaka
- Department of Health Sciences, College of Health and Natural Sciences, Africa University, Old Mutare, Zimbabwe
| | - S Zinyowera
- National Microbiology Reference Laboratory, Ministry of Health and Child Care, Harare, Zimbabwe
| | - S Mharakurwa
- Department of Health Sciences, College of Health and Natural Sciences, Africa University, Old Mutare, Zimbabwe
| | - K Kranzer
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.,Biomedical Research and Training Institute, Harare, Zimbabwe.,Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany
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Kendall EA, Hussain H, Kunkel A, Kubiak RW, Trajman A, Menzies R, Drain PK. Isoniazid or rifampicin preventive therapy with and without screening for subclinical TB: a modeling analysis. BMC Med 2021; 19:315. [PMID: 34903214 PMCID: PMC8670249 DOI: 10.1186/s12916-021-02189-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 11/15/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Short-course, rifamycin-based regimens could facilitate scale-up of tuberculosis preventive therapy (TPT), but it is unclear how stringently tuberculosis (TB) disease should be ruled out before TPT use. METHODS We developed a state-transition model of a TPT intervention among two TPT-eligible cohorts: adults newly diagnosed with HIV in South Africa (PWH) and TB household contacts in Pakistan (HHCs). We modeled two TPT regimens-4 months of rifampicin [4R] or 6 months of isoniazid [6H]-comparing each to a reference of no intervention. Before initiating TPT, TB disease was excluded either through symptom-only screening or with additional radiographic screening that could detect subclinical TB but might limit access to the TPT intervention. TPT's potential curative effects on both latent and subclinical TB were modeled, as were both acquisitions of resistance and prevention of drug-resistant disease. Although all eligible individuals received the screening and/or TPT interventions, the modeled TB outcomes comprised only those with latent or subclinical TB that would have progressed to symptomatic disease if untreated. RESULTS When prescribed after only symptom-based TB screening (such that individuals with subclinical TB were included among TPT recipients), 4R averted 45 active (i.e., symptomatic) TB cases (95% uncertainty range 24-79 cases or 40-89% of progressions to active TB) per 1000 PWH [17 (9-29, 43-94%) per 1000 HHCs]; 6H averted 37 (19-66, 52-73%) active TB cases among PWH [13 (7-23, 53-75%) among HHCs]. With this symptom-only screening, for each net rifampicin resistance case added by 4R, 12 (3-102) active TB cases were averted among PWH (37 [9-580] among HHCs); isoniazid-resistant TB was also reduced. Similarly, 6H after symptom-only screening increased isoniazid resistance while reducing overall and rifampicin-resistant active TB. Screening for subclinical TB before TPT eliminated this net increase in resistance to the TPT drug; however, if the screening requirement reduced TPT access by more than 10% (the estimated threshold for 4R among HHCs) to 30% (for 6H among PWH), it was likely to reduce the intervention's overall TB prevention impact. CONCLUSIONS All modeled TPT strategies prevent TB relative to no intervention, and differences between TPT regimens or between screening approaches are small relative to uncertainty in the outcomes of any given strategy. If most TPT-eligible individuals can be screened for subclinical TB, then pairing such screening with rifamycin-based TPT maximizes active TB prevention and does not increase rifampicin resistance. Where subclinical TB cannot be routinely excluded without substantially reducing TPT access, the choice of TPT regimen requires weighing 4R's efficacy advantages (as well as its greater safety and shorter duration that we did not directly model) against the consequences of rifampicin resistance in a small fraction of recipients.
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Affiliation(s)
- Emily A Kendall
- Division of Infectious Diseases and Center for Tuberculosis Research, Johns Hopkins University School of Medicine, 1550 Orleans Street, Baltimore, Maryland, 21287, USA.
| | - Hamidah Hussain
- Interactive Research and Development (IRD) Global, 583 Orchard Road #06-01 Forum, Singapore, Singapore
| | - Amber Kunkel
- Emerging Diseases Epidemiology Unit, Institut Pasteur, 25-28 Rue du Dr Roux, 75015, Paris, France
| | - Rachel W Kubiak
- Department of Epidemiology, University of Washington, 3980 15th Ave NE, Seattle, Washington, 98195, USA
| | - Anete Trajman
- Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, R. São Francisco Xavier, Rio de Janeiro, 20550-900, Brazil
| | - Richard Menzies
- Respiratory Epidemiology and Clinical Research Unit, Montreal Chest Institute & McGill International TB Centre, 3650 St-Urbain Street, Montreal, Quebec, H2X 2P, Canada
| | - Paul K Drain
- Departments of Global Health, Medicine, and Epidemiology, University of Washington, Box 359927, 325 Ninth Ave, Seattle, Washington, 98104, USA
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Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis. Sci Rep 2021; 11:23895. [PMID: 34903808 PMCID: PMC8668935 DOI: 10.1038/s41598-021-03265-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/30/2021] [Indexed: 11/13/2022] Open
Abstract
There have been few independent evaluations of computer-aided detection (CAD) software for tuberculosis (TB) screening, despite the rapidly expanding array of available CAD solutions. We developed a test library of chest X-ray (CXR) images which was blindly re-read by two TB clinicians with different levels of experience and then processed by 12 CAD software solutions. Using Xpert MTB/RIF results as the reference standard, we compared the performance characteristics of each CAD software against both an Expert and Intermediate Reader, using cut-off thresholds which were selected to match the sensitivity of each human reader. Six CAD systems performed on par with the Expert Reader (Qure.ai, DeepTek, Delft Imaging, JF Healthcare, OXIPIT, and Lunit) and one additional software (Infervision) performed on par with the Intermediate Reader only. Qure.ai, Delft Imaging and Lunit were the only software to perform significantly better than the Intermediate Reader. The majority of these CAD software showed significantly lower performance among participants with a past history of TB. The radiography equipment used to capture the CXR image was also shown to affect performance for some CAD software. TB program implementers now have a wide selection of quality CAD software solutions to utilize in their CXR screening initiatives.
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48
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Luo Y, Xue Y, Lin Q, Mao L, Tang G, Song H, Liu W, Wu S, Liu W, Zhou Y, Xu L, Xiong Z, Wang T, Yuan X, Gan Y, Sun Z, Wang F. Diagnostic Model for Discrimination Between Tuberculous Meningitis and Bacterial Meningitis. Front Immunol 2021; 12:731876. [PMID: 34867952 PMCID: PMC8632769 DOI: 10.3389/fimmu.2021.731876] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 10/07/2021] [Indexed: 11/15/2022] Open
Abstract
Background The differential diagnosis between tuberculous meningitis (TBM) and bacterial meningitis (BM) remains challenging in clinical practice. This study aimed to establish a diagnostic model that could accurately distinguish TBM from BM. Methods Patients with TBM or BM were recruited between January 2017 and January 2021 at Tongji Hospital (Qiaokou cohort) and Sino-French New City Hospital (Caidian cohort). The detection for indicators involved in cerebrospinal fluid (CSF) and T-SPOT assay were performed simultaneously. Multivariate logistic regression was used to create a diagnostic model. Results A total of 174 patients (76 TBM and 98 BM) and another 105 cases (39 TBM and 66 BM) were enrolled from Qiaokou cohort and Caidian cohort, respectively. Significantly higher level of CSF lymphocyte proportion while significantly lower levels of CSF chlorine, nucleated cell count, and neutrophil proportion were observed in TBM group when comparing with those in BM group. However, receiver operating characteristic (ROC) curve analysis showed that the areas under the ROC curve (AUCs) produced by these indicators were all under 0.8. Meanwhile, tuberculosis-specific antigen/phytohemagglutinin (TBAg/PHA) ratio yielded an AUC of 0.889 (95% CI, 0.840–0.938) in distinguishing TBM from BM, with a sensitivity of 68.42% (95% CI, 57.30%–77.77%) and a specificity of 92.86% (95% CI, 85.98%–96.50%) when a cutoff value of 0.163 was used. Consequently, we successfully established a diagnostic model based on the combination of TBAg/PHA ratio, CSF chlorine, CSF nucleated cell count, and CSF lymphocyte proportion for discrimination between TBM and BM. The established model showed good performance in differentiating TBM from BM (AUC: 0.949; 95% CI, 0.921–0.978), with 81.58% (95% CI, 71.42%–88.70%) sensitivity and 91.84% (95% CI, 84.71%–95.81%) specificity. The performance of the diagnostic model obtained in Qiaokou cohort was further validated in Caidian cohort. The diagnostic model in Caidian cohort produced an AUC of 0.923 (95% CI, 0.867–0.980) with 79.49% (95% CI, 64.47%–89.22%) sensitivity and 90.91% (95% CI, 81.55%–95.77%) specificity. Conclusions The diagnostic model established based on the combination of four indicators had excellent utility in the discrimination between TBM and BM.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiji Wu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiyong Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Zhou
- Department of Laboratory Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Lingqing Xu
- Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China
| | - Zhigang Xiong
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ting Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Bonnet I, Enouf V, Morel F, Ok V, Jaffré J, Jarlier V, Aubry A, Robert J, Sougakoff W. A Comprehensive Evaluation of GeneLEAD VIII DNA Platform Combined to Deeplex Myc-TB ® Assay to Detect in 8 Days Drug Resistance to 13 Antituberculous Drugs and Transmission of Mycobacterium tuberculosis Complex Directly From Clinical Samples. Front Cell Infect Microbiol 2021; 11:707244. [PMID: 34778100 PMCID: PMC8586210 DOI: 10.3389/fcimb.2021.707244] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/04/2021] [Indexed: 11/21/2022] Open
Abstract
The GeneLEAD VIII (Diagenode, Belgium) is a new, fully automated, sample-to-result precision instrument for the extraction of DNA and PCR detection of Mycobacterium tuberculosis complex (MTBC) directly from clinical samples. The Deeplex Myc-TB® assay (Genoscreen, France) is a diagnostic kit based on the deep sequencing of a 24-plexed amplicon mix allowing simultaneously the detection of resistance to 13 antituberculous (antiTB) drugs and the determination of spoligotype. We evaluated the performance of a strategy combining the both mentioned tools to detect directly from clinical samples, in 8 days, MTBC and its resistance to 13 antiTB drugs, and identify potential transmission of strains from patient-to-patient. Using this approach, we screened 112 clinical samples (65 smear-negative) and 94 MTBC cultured strains. The sensitivity and the specificity of the GeneLEAD/Deeplex Myc-TB approach for MTBC detection were 79.3% and 100%, respectively. One hundred forty successful Deeplex Myc-TB results were obtained for 46 clinical samples and 94 strains, a total of 85.4% of which had a Deeplex Myc-TB susceptibility and resistance prediction consistent with phenotypic drug susceptibility testing (DST). Importantly, the Deeplex Myc-TB assay was able to detect 100% of the multidrug-resistant (MDR) MTBC tested. The lowest concordance rates were for pyrazinamide, ethambutol, streptomycin, and ethionamide (84.5%, 81.5%, 73%, and 55%, respectively) for which the determination of susceptibility or resistance is generally difficult with current tools. One of the main difficulties of Deeplex Myc-TB is to interpret the non-synonymous uncharacterized variants that can represent up to 30% of the detected single nucleotide variants. We observed a good level of concordance between Deeplex Myc-TB-spoligotyping and MIRU-VNTR despite a lower discriminatory power for spoligotyping. The median time to obtain complete results from clinical samples was 8 days (IQR 7–13) provided a high-throughput NGS sequencing platform was available. Our results highlight that the GeneLEAD/Deeplex Myc-TB approach could be a breakthrough in rapid diagnosis of MDR TB in routine practice.
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Affiliation(s)
- Isabelle Bonnet
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Service de Bactériologie-Hygiène, Paris, France.,Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France.,Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), Unité Mixte de Recherche (UMR) 1135, Paris, France
| | - Vincent Enouf
- Plateforme de Microbiologie Mutualisée (P2M), Pasteur International Bioresources network (PIBnet), Institut Pasteur, Paris, France
| | - Florence Morel
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Service de Bactériologie-Hygiène, Paris, France.,Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France.,Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), Unité Mixte de Recherche (UMR) 1135, Paris, France
| | - Vichita Ok
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Service de Bactériologie-Hygiène, Paris, France.,Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France.,Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), Unité Mixte de Recherche (UMR) 1135, Paris, France
| | - Jérémy Jaffré
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Service de Bactériologie-Hygiène, Paris, France.,Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France.,Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), Unité Mixte de Recherche (UMR) 1135, Paris, France
| | - Vincent Jarlier
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Service de Bactériologie-Hygiène, Paris, France.,Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France
| | - Alexandra Aubry
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Service de Bactériologie-Hygiène, Paris, France.,Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France.,Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), Unité Mixte de Recherche (UMR) 1135, Paris, France
| | - Jérôme Robert
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Service de Bactériologie-Hygiène, Paris, France.,Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France.,Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), Unité Mixte de Recherche (UMR) 1135, Paris, France
| | - Wladimir Sougakoff
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Pitié-Salpêtrière, Service de Bactériologie-Hygiène, Paris, France.,Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (CNR-MyRMA), Paris, France.,Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), Unité Mixte de Recherche (UMR) 1135, Paris, France
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Sağıroğlu P, Atalay MA. Evaluation of the performance of the BD MAX MDR-TB test in the diagnosis of Mycobacterium tuberculosis complex in extrapulmonary and pulmonary samples. Expert Rev Mol Diagn 2021; 21:1361-1367. [PMID: 34689662 DOI: 10.1080/14737159.2021.1997594] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND The BD MAX MDR-TB is a recently marketed molecular test for detecting Mycobacterium tuberculosis complex (MTC), rifampin, and isoniazid drug resistance. RESEARCH DESIGN AND METHODS This study aimed to evaluate the BD MAX MDR-TB test performance in 933 extrapulmonary and 774 pulmonary samples. RESULTS Test MTC detecting sensitivity was 90.6%, 82.5%, and the specificity was 98.5%, 98.9%, in pulmonary and extrapulmonary samples, respectively. In smear-positive samples, sensitivity, and specificity were 100% for all samples. However, in smear-negative samples, the test's sensitivity and specificity were 82.3%, 98.5% in pulmonary samples, and 76.7%, 98.9% in extrapulmonary samples. Test sensitivity in detecting isoniazid resistance was 71.4%, specificity 96.8%, and in detecting rifampin resistance was 100%, specificity 93.9%, respectively. CONCLUSIONS BD MAX MDR-TB is a reliable, rapid, user-friendly test for detecting MTC in extrapulmonary and pulmonary samples and its resistance toward isoniazid and rifampin. It can be used as an alternative to the Xpert system assays.
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Affiliation(s)
- Pınar Sağıroğlu
- Medical Faculty Department of Medical Microbiology, Erciyes University, Kayseri, Turkey
| | - Mustafa Altay Atalay
- Medical Faculty Department of Medical Microbiology, Erciyes University, Kayseri, Turkey
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