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Bosman S, Ayakaka I, Muhairwe J, Kamele M, van Heerden A, Madonsela T, Labhardt ND, Sommer G, Bremerich J, Zoller T, Murphy K, van Ginneken B, Keter AK, Jacobs BKM, Bresser M, Signorell A, Glass TR, Lynen L, Reither K. Evaluation of C-Reactive Protein and Computer-Aided Analysis of Chest X-rays as Tuberculosis Triage Tests at Health Facilities in Lesotho and South Africa. Clin Infect Dis 2024; 79:1293-1302. [PMID: 39190813 PMCID: PMC11581699 DOI: 10.1093/cid/ciae378] [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: 03/27/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND To improve tuberculosis case-finding, rapid, non-sputum triage tests need to be developed according to the World Health Organization target product profile (TPP) (>90% sensitivity, >70% specificity). We prospectively evaluated and compared artificial intelligence-based, computer-aided detection software, CAD4TBv7, and C-reactive protein assay (CRP) as triage tests at health facilities in Lesotho and South Africa. METHODS Adults (≥18 years) presenting with ≥1 of the 4 cardinal tuberculosis symptoms were consecutively recruited between February 2021 and April 2022. After informed consent, each participant underwent a digital chest X-ray for CAD4TBv7 and a CRP test. Participants provided 1 sputum sample for Xpert MTB/RIF Ultra and Xpert MTB/RIF and 1 for liquid culture. Additionally, an expert radiologist read the chest X-rays via teleradiology. For primary analysis, a composite microbiological reference standard (ie, positive culture or Xpert Ultra) was used. RESULTS We enrolled 1392 participants, 48% were people with HIV and 24% had previously tuberculosis. The receiver operating characteristic curve for CAD4TBv7 and CRP showed an area under the curve of .87 (95% CI: .84-.91) and .80 (95% CI: .76-.84), respectively. At thresholds corresponding to 90% sensitivity, specificity was 68.2% (95% CI: 65.4-71.0%) and 38.2% (95% CI: 35.3-41.1%) for CAD4TBv7 and CRP, respectively. CAD4TBv7 detected tuberculosis as well as an expert radiologist. CAD4TBv7 almost met the TPP criteria for tuberculosis triage. CONCLUSIONS CAD4TBv7 is accurate as a triage test for patients with tuberculosis symptoms from areas with a high tuberculosis and HIV burden. The role of CRP in tuberculosis triage requires further research. CLINICAL TRIALS REGISTRATION Clinicaltrials.gov identifier: NCT04666311.
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Affiliation(s)
- Shannon Bosman
- Centre for Community Based Research, Human Sciences Research Council, Sweetwaters, South Africa
| | - Irene Ayakaka
- SolidarMed, Partnerships for Health, Maseru, Lesotho
| | | | | | - Alastair van Heerden
- Centre for Community Based Research, Human Sciences Research Council, Sweetwaters, South Africa
- SAMRC/WITS Developmental Pathways for Health Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Thandanani Madonsela
- Centre for Community Based Research, Human Sciences Research Council, Sweetwaters, South Africa
| | - Niklaus D Labhardt
- Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Gregor Sommer
- University of Basel, Basel, Switzerland
- Department of Radiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland
- Institute of Radiology and Nuclear Medicine, Hirslanden Klinik St. Anna, Lucerne, Switzerland
| | - Jens Bremerich
- University of Basel, Basel, Switzerland
- Department of Radiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Thomas Zoller
- Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt–Universität zu Berlin, Department of Infectious Diseases, Respiratory and Critical Care Medicine, Berlin, Germany
| | - Keelin Murphy
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Bram van Ginneken
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Alfred K Keter
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Bart K M Jacobs
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Moniek Bresser
- University of Basel, Basel, Switzerland
- Department of Medicine, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
| | - Aita Signorell
- University of Basel, Basel, Switzerland
- Department of Medicine, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
| | - Tracy R Glass
- University of Basel, Basel, Switzerland
- Department of Medicine, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
| | - Lutgarde Lynen
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Klaus Reither
- University of Basel, Basel, Switzerland
- Department of Medicine, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
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Gaeddert M, Glaser K, Chendi BH, Sultanli A, Koeppel L, MacLean EL, Broger T, Denkinger CM. Host blood protein biomarkers to screen for tuberculosis disease: a systematic review and meta-analysis. J Clin Microbiol 2024; 62:e0078624. [PMID: 39445833 PMCID: PMC11559064 DOI: 10.1128/jcm.00786-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 09/09/2024] [Indexed: 10/25/2024] Open
Abstract
Non-sputum tests are needed to improve tuberculosis (TB) diagnosis and close the diagnostic gap. The World Health Organization's target product profile (TPP) for point-of-care (POC) screening tests requires a minimum sensitivity of 90% and a specificity of 70%. Our objective was to identify host blood protein biomarkers meeting TPP criteria. A systematic review was conducted and reported following PRISMA guidelines. Data extraction and quality assessment with Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) were completed for the included studies. Heterogeneity was assessed. For biomarkers reporting sensitivity and specificity in at least four studies, a random-effects meta-analysis was performed for biomarkers with similar cut-offs. We screened 4,651 citations and included 65 studies that enrolled 16,010 participants and evaluated 156 host proteins. Most (47/65) studies enrolled adult pulmonary TB (PTB), with 15 studies in adult extra-pulmonary TB and 5 in children. Small early-stage discovery studies with case-control design were common (24/65) and had a high risk of bias. For adult PTB, CRP, IP-10, NCAM-1, and SAA met TPP criteria in high-quality studies. There was a high degree of heterogeneity in biomarker cut-offs and study design. CRP at 10 mg/L cut-off was meta-analyzed from 10 studies; pooled sensitivity 86% [95% confidence interval (CI): 80-95] and pooled specificity 67% (95% CI: 54-79). In people living with HIV (six studies), CRP pooled sensitivity was 93% (95% CI: 90-95), and pooled specificity was 59% (95% CI: 40-78). We identified promising biomarkers that performed well in high-quality studies. Data overall are limited and highly heterogenous. Further standardized validation across subgroups in prospective studies is needed before translating into POC assays. IMPORTANCE To our knowledge, this is the first comprehensive systematic review of host blood protein biomarkers for tuberculosis (TB), and we identified promising biomarkers for a TB screening test.
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Affiliation(s)
- Mary Gaeddert
- Department of Infectious Diseases and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Kerstin Glaser
- Department of Infectious Diseases and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Bih H. Chendi
- Division of Immunology, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Cape Town, South Africa
| | - Ayten Sultanli
- Institute of Tropical Medicine, University of Tübingen, Tübingen, Germany
- German Center for Infection Research, Tübingen, Germany
| | - Lisa Koeppel
- Department of Infectious Diseases and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Emily L. MacLean
- NHMRC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Tobias Broger
- Department of Infectious Diseases and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Claudia M. Denkinger
- Department of Infectious Diseases and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Infection Research, Partner site Heidelberg, Heidelberg, Germany
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3
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Crowder R, Thangakunam B, Andama A, Christopher DJ, Dalay V, Nwamba W, Kik SV, Van Nguyen D, Nhung NV, Phillips PPJ, Ruhwald M, Theron G, Worodria W, Yu C, Nahid P, Cattamanchi A, Gupta-Wright A, Denkinger CM. Diagnostic accuracy of TB screening tests in a prospective multinational cohort: Chest-X-ray with computer-aided detection, Xpert TB host response, and C-reactive protein. Clin Infect Dis 2024:ciae549. [PMID: 39509711 DOI: 10.1093/cid/ciae549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 10/22/2024] [Accepted: 11/05/2024] [Indexed: 11/15/2024] Open
Abstract
BACKGROUND Accessible, accurate screening tests are necessary to advance tuberculosis (TB) case finding and early detection in high-burden countries. METHODS We prospectively screened adults with ≥2 weeks of cough at primary health centers in the Philippines, Vietnam, South Africa, Uganda, and India. Participants received chest-X-ray, Cepheid Xpert TB Host Response (Xpert HR) testing, and point-of-care C-reactive protein (CRP) testing (Boditech). Chest-X-ray images were processed using CAD4TB v7, a computer-aided detection algorithm. We assessed diagnostic accuracy against a microbiologic reference standard (sputum Xpert Ultra, culture). Optimal cut-points were chosen to maximize specificity at 90% sensitivity. Two-test screening algorithms were considered, using 1) sequential negative serial screening (positive defined as positive on either test) and 2) sequential positive serial screening (positive defined as positive on both tests). RESULTS Between July 2021 and August 2022, 1,392 participants with presumptive TB had valid index tests and reference standard results, and 303 (22%) had confirmed TB. In head-to-head comparisons, CAD4TB v7 showed the highest specificity at 90% sensitivity (70.3% vs. 65.1% for Xpert HR, difference 95% CI 1.6 to 8.9; 49.7% for CRP, difference 95% CI 17.0 to 24.3). Three two-test screening algorithms met WHO target product profile (TPP) minimum accuracy thresholds and had higher accuracy than any test alone. At 90% sensitivity, the specificity was 79.6% for Xpert HR-CAD4TB [sequential negative], 75.9% for CRP-CAD4TB [sequential negative], and 73.7% for Xpert HR-CAD4TB [sequential positive]. CONCLUSIONS CAD4TB achieves TPP targets and outperforms Xpert HR and CRP. Combining screening tests further increased accuracy. REGISTRATION NCT04923958.
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Affiliation(s)
- Rebecca Crowder
- Center for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, USA
| | | | | | | | - Victoria Dalay
- De la Salle Medical and Health Sciences Institute, Dasmariñas, Philippines
| | - Welile Nwamba
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | | | | | | | - Patrick P J Phillips
- Center for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, USA
| | | | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | | | - Charles Yu
- De la Salle Medical and Health Sciences Institute, Dasmariñas, Philippines
| | - Payam Nahid
- Center for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, USA
| | - Adithya Cattamanchi
- Division of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, CA
| | - Ankur Gupta-Wright
- Department of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany
- Department of Infectious Diseases, Imperial College London, UK
| | - Claudia M Denkinger
- Department of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany
- German Center of Infection Research, partner site Heidelberg, Germany
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Calderwood CJ, Sanchez Martinez A, Greenan-Barrett J, Turner CT, Oguti B, Roe JK, Gupta R, Martineau AR, Noursadeghi M. Resolution of tuberculosis blood RNA signatures fails to discriminate persistent sputum culture positivity after 8 weeks of anti-tuberculous treatment. Eur Respir J 2024; 64:2400457. [PMID: 39190790 PMCID: PMC11579542 DOI: 10.1183/13993003.00457-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 07/09/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND Concerted efforts aim to reduce the burden of 6 months of anti-tuberculous treatment for tuberculosis (TB). Treatment cessation at 8 weeks is effective for most but incurs increased risk of disease relapse. We tested the hypothesis that blood RNA signatures or C-reactive protein (CRP) measurements discriminate 8-week sputum culture status, as a prerequisite for a biomarker to stratify risk of relapse following treatment cessation at this time-point. METHODS We identified blood RNA signatures of TB disease or cure by systematic review. We evaluated these signatures and CRP measurements in a pulmonary TB cohort, pre-treatment, at 2 and 8 weeks of treatment, and sustained cure after treatment completion. We tested biomarker discrimination of 8-week sputum culture status using area under the receiver operating characteristic curve (AUROC) analysis and, secondarily, assessed correlation of biomarker scores with time to culture positivity at 8 weeks of treatment. RESULTS 12 blood RNA signatures were reproduced in the dataset from 44 individuals with sputum culture-positive pulmonary TB. These normalised over time from TB treatment initiation. 11 out of 44 cases with blood RNA, CRP and sputum culture results were sputum culture-positive at 8 weeks of treatment. None of the contemporary blood RNA signatures discriminated sputum culture status at this time-point or correlated with bacterial load. CRP achieved modest discrimination with AUROC 0.69 (95% CI 0.52-0.87). CONCLUSIONS Selected TB blood RNA signatures and CRP do not provide biomarkers of microbiological clearance to support TB treatment cessation at 8 weeks. Resolution of blood transcriptional host responses in sputum culture-positive individuals suggests Mycobacterium tuberculosis may colonise the respiratory tract without triggering a detectable immune response.
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Affiliation(s)
- Claire J Calderwood
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
- C.J. Calderwood and A. Sanchez Martinez contributed equally
| | - Alvaro Sanchez Martinez
- Division of Infection and Immunity, University College London, London, UK
- C.J. Calderwood and A. Sanchez Martinez contributed equally
| | - James Greenan-Barrett
- Department of Respiratory Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - Carolin T Turner
- Division of Infection and Immunity, University College London, London, UK
| | - Blanché Oguti
- Division of Infection and Immunity, University College London, London, UK
| | - Jennifer K Roe
- Division of Infection and Immunity, University College London, London, UK
| | - Rishi Gupta
- Institute of Health Informatics, University College London, London, UK
| | - Adrian R Martineau
- Blizard Institute, Queen Mary University of London, London, UK
- A.R. Martineau and M. Noursadeghi are co-senior authors
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, UK
- A.R. Martineau and M. Noursadeghi are co-senior authors
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Rao L, Wu Z, Chen J, Ning Z, Shen X. Effectiveness of C-Reactive Protein as a Tuberculosis Screening Test Among HIV-Infected Individuals - Shanghai, China, 2021-2023. China CDC Wkly 2024; 6:891-895. [PMID: 39233998 PMCID: PMC11369062 DOI: 10.46234/ccdcw2024.190] [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: 11/29/2023] [Accepted: 06/18/2024] [Indexed: 09/06/2024] Open
Abstract
What is already known about this topic? The World Health Organization (WHO) has recommended the inclusion of the C-reactive protein (CRP) test in active tuberculosis (ATB) screening algorithms among human immunodeficiency virus (HIV)-infected individuals. The performance of the CRP test in African regions has been well-documented. What is added by this report? This study analyzed data from a big data platform of Shanghai medical records together with infectious disease surveillance systems. We simulated a screening and plotted a receiver operating characteristic (ROC) curve, which gives the optimal cut-off value of 11.115mg/L with sensitivity and specificity of 0.784 and 0.723, respectively. What are the implications for public health practice? We obtained a promising perspective on screening for tuberculosis in people living with HIV (PLHIV) using the CRP test in Shanghai. Our study offers an original standpoint for following research.
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Affiliation(s)
- Lixin Rao
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zheyuan Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jing Chen
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zhen Ning
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Xin Shen
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
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Greenan-Barrett J, Gupta RK, Noursadeghi M. The end of the road for blood RNA biomarkers as triage tests for symptomatic pulmonary tuberculosis among spontaneous sputum producers? Eur Respir J 2024; 64:2401365. [PMID: 39147423 DOI: 10.1183/13993003.01365-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 07/17/2024] [Indexed: 08/17/2024]
Affiliation(s)
| | - Rishi K Gupta
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, UK
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7
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Crowder R, Thangakunam B, Andama A, Christopher DJ, Dalay V, Dube-Nwamba W, Kik SV, Nguyen DV, Nhung NV, Phillips PP, Ruhwald M, Theron G, Worodria W, Yu C, Nahid P, Cattamanchi A, Gupta-Wright A, Denkinger CM. Head-to-head comparison of diagnostic accuracy of TB screening tests: Chest-X-ray, Xpert TB host response, and C-reactive protein. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.20.24308402. [PMID: 38947093 PMCID: PMC11213098 DOI: 10.1101/2024.06.20.24308402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Background Accessible, accurate screening tests are necessary to advance tuberculosis (TB) case finding and early detection in high-burden countries. We compared the diagnostic accuracy of available TB triage tests. Methods We prospectively screened consecutive adults with ≥2 weeks of cough presenting to primary health centers in the Philippines, Vietnam, South Africa, Uganda, and India. All participants received the index tests: chest-X-ray (CXR), venous or capillary Cepheid Xpert TB Host Response (HR) testing, and point-of-care C-reactive protein (CRP) testing (Boditech iChroma II). CXR images were processed using computer-aided detection (CAD) algorithms. We assessed diagnostic accuracy against a microbiologic reference standard (sputum Xpert Ultra, culture). Optimal cut-points were chosen to achieve sensitivity ≥90% and maximize specificity. Two-test screening algorithms were considered, using two approaches: 1) sequential negative serial screening in which the second screening test is conducted only if the first is negative and positive is defined as positive on either test and 2) sequential positive serial screening, in which the second screening test is conducted only if the first is positive and positive is defined as positive on both tests. Results Between July 2021 and August 2022, 1,392 participants with presumptive TB had valid results on index tests and the reference standard, and 303 (22%) had confirmed TB. In head-to-head comparisons, CAD4TB v7 showed the highest specificity when using a cut-point that achieves 90% sensitivity (70.3% vs. 65.1% for Xpert HR, difference 95% CI 1.6 to 8.9; 49.7% for CRP, difference 95% CI 17.0 to 24.3). Among the possible two-test screening algorithms, three met WHO target product profile (TPP) minimum accuracy thresholds and had higher accuracy than any test alone. At 90% sensitivity, the specificity was 79.6% for Xpert HR-CAD4TB [sequential negative], 75.9% for CRP-CAD4TB [sequential negative], and 73.7% for Xpert HR-CAD4TB [sequential positive]. Conclusions CAD4TB achieves TPP targets and outperforms Xpert HR and CRP. Combining screening tests further increased accuracy. Cost and feasibility of two-test screening algorithms should be explored. Registration NCT04923958.
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Affiliation(s)
- Rebecca Crowder
- Center for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, USA
| | | | | | | | - Victoria Dalay
- De la Salle Medical and Health Sciences Institute, Dasmariñas, Philippines
| | | | | | | | | | - Patrick Pj Phillips
- Center for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, USA
| | | | - Grant Theron
- Stellenbosch University, Cape Town, South Africa
| | | | - Charles Yu
- De la Salle Medical and Health Sciences Institute, Dasmariñas, Philippines
| | - Payam Nahid
- Center for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, USA
| | - Adithya Cattamanchi
- Division of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, CA
| | - Ankur Gupta-Wright
- Division of Infectious Disease and Tropical Medicine, University Hospital of Heidelberg, Heidelberg, Germany
- Department of Infectious Diseases, Imperial College London, UK
| | - Claudia M Denkinger
- Division of Infectious Disease and Tropical Medicine, University Hospital of Heidelberg, Heidelberg, Germany
- German Center of Infection Research, partner site Heidelberg, Germany
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Mann T, Gupta RK, Reeve BWP, Ndlangalavu G, Chandran A, Krishna AP, Calderwood CJ, Tshivhula H, Palmer Z, Naidoo S, Mbu DL, Theron G, Noursadeghi M. Blood RNA biomarkers for tuberculosis screening in people living with HIV before antiretroviral therapy initiation: a diagnostic accuracy study. Lancet Glob Health 2024; 12:e783-e792. [PMID: 38583459 DOI: 10.1016/s2214-109x(24)00029-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/06/2023] [Accepted: 01/11/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Undiagnosed tuberculosis remains a major threat for people living with HIV. Multiple blood transcriptomic biomarkers have shown promise for tuberculosis diagnosis. We sought to evaluate their diagnostic accuracy and clinical utility for systematic pre-antiretroviral therapy (ART) tuberculosis screening. METHODS We enrolled consecutive adults (age ≥18 years) referred to start ART at a community health centre in Cape Town, South Africa, irrespective of symptoms. Sputa were obtained (using induction if required) for two liquid cultures. Whole-blood RNA samples underwent transcriptional profiling using a custom Nanostring gene panel. We measured the diagnostic accuracy of seven candidate RNA signatures (one single gene biomarker [BATF2] and six multigene biomarkers) for the reference standard of Mycobacterium tuberculosis culture status, using area under the receiver-operating characteristic curve (AUROC) analysis, and sensitivity and specificity at prespecified thresholds (two standard scores above the mean of healthy controls; Z2). Clinical utility was assessed by calculating net benefit in decision curve analysis. We compared performance with C-reactive protein (CRP; threshold ≥5 mg/L), WHO four-symptom screen (W4SS), and the WHO target product profile for tuberculosis triage tests. FINDINGS A total of 707 people living with HIV (407 [58%] female and 300 [42%] male) were included, with median CD4 count 306 cells per mm3 (IQR 184-486). Of 676 participants with available sputum culture results, 89 (13%) had culture-confirmed tuberculosis. The seven RNA signatures were moderately to highly correlated (Spearman rank coefficients 0·42-0·93) and discriminated tuberculosis culture positivity with similar AUROCs (0·73-0·80), but none statistically better than CRP (AUROC 0·78, 95% CI 0·72-0·83). Diagnostic accuracy was similar across CD4 count strata, but lower among participants with negative W4SS (AUROCs 0·56-0·65) compared with positive (AUROCs 0·75-0·84). The RNA biomarker with the highest AUROC point estimate was a four-gene signature (Suliman4; AUROC 0·80, 95% CI 0·75-0·86), with sensitivity 83% (95% CI 74-90) and specificity 59% (55-63) at the Z2 threshold. In decision curve analysis, Suliman4 and CRP had similar clinical utility to guide confirmatory tuberculosis testing, but both had higher net benefit than W4SS. In exploratory analyses, an approach combining CRP (≥5 mg/L) and Suliman4 (≥Z2) had sensitivity of 80% (70-87), specificity of 70% (66-74), and higher net benefit than either biomarker alone. INTERPRETATION RNA biomarkers showed better clinical utility to guide confirmatory tuberculosis testing for people living with HIV before ART initiation than symptom-based screening, but their performance did not exceed that of CRP and fell short of WHO recommended targets. Interferon-independent approaches might be required to improve accuracy of host-response biomarkers to support tuberculosis screening before ART initiation. FUNDING South African Medical Research Council, European and Developing Countries Clinical Trials Partnership 2, National Institutes of Health National Institute of Allergy and Infectious Diseases, The Wellcome Trust, National Institute for Health and Care Research, Royal College of Physicians London.
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Affiliation(s)
- Tiffeney Mann
- Division of Infection and Immunity, University College London, London, UK
| | - Rishi K Gupta
- Institute of Health Informatics, University College London, London, UK
| | - Byron W P Reeve
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gcobisa Ndlangalavu
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Aneesh Chandran
- Division of Infection and Immunity, University College London, London, UK
| | - Amirtha P Krishna
- Division of Infection and Immunity, University College London, London, UK
| | - Claire J Calderwood
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Happy Tshivhula
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Zaida Palmer
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Selisha Naidoo
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Desiree L Mbu
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, UK.
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Reeve BWP, Ndlangalavu G, Mishra H, Palmer Z, Tshivhula H, Rockman L, Naidoo S, Mbu DL, Naidoo CC, Derendinger B, Walzl G, Malherbe ST, van Helden PD, Semitala FC, Yoon C, Gupta RK, Noursadeghi M, Warren RM, Theron G. Point-of-care C-reactive protein and Xpert MTB/RIF Ultra for tuberculosis screening and diagnosis in unselected antiretroviral therapy initiators: a prospective, cross-sectional, diagnostic accuracy study. Lancet Glob Health 2024; 12:e793-e803. [PMID: 38583458 PMCID: PMC11035478 DOI: 10.1016/s2214-109x(24)00052-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/14/2023] [Accepted: 01/25/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Tuberculosis, a major cause of death in people living with HIV, remains challenging to diagnose. Diagnostic accuracy data are scarce for promising triage and confirmatory tests such as C-reactive protein (CRP), sputum and urine Xpert MTB/RIF Ultra (Xpert Ultra), and urine Determine TB LAM Ag (a lateral flow lipoarabinomannan [LF-LAM] test), without symptom selection. We evaluated novel triage and confirmatory tests in ambulatory people with HIV initiating antiretroviral therapy (ART). METHODS 897 ART-initiators were recruited irrespective of symptoms and sputum induction offered. For triage (n=800), we evaluated point-of-care blood-based CRP testing, compared with the WHO-recommended four-symptom screen (W4SS). For sputum-based confirmatory testing (n=787), we evaluated Xpert Ultra versus Xpert MTB/RIF (Xpert). For urine-based confirmatory testing (n=732), we evaluated Xpert Ultra and LF-LAM. We used a sputum culture reference standard. FINDINGS 463 (52%) of 897 participants were female. The areas under the receiver operator characteristic curves for CRP was 0·78 (95% CI 0·73-0·83) and for number of W4SS symptoms was 0·70 (0·64-0·75). CRP (≥10 mg/L) had similar sensitivity to W4SS (77% [95% CI 68-85; 80/104] vs 77% [68-85; 80/104]; p>0·99] but higher specificity (64% [61-68; 445/696] vs 48% [45-52; 334/696]; p<0·0001]; reducing unnecessary confirmatory testing by 138 (95% CI 117-160) per 1000 people and number-needed-to-test from 6·91 (95% CI 6·25-7·81) to 4·87 (4·41-5·51). Sputum samples with Xpert Ultra, which required induction in 49 (31%) of 158 of people (95% CI 24-39), had higher sensitivity than Xpert (71% [95% CI 61-80; 74/104] vs 56% [46-66; 58/104]; p<0·0001). Of the people with one or more confirmatory sputum or urine test results that were positive, the proportion detected by Xpert Ultra increased from 45% (26-64) to 66% (46-82) with induction. Programmatically done haemoglobin, triage test combinations, and urine tests showed comparatively worse results. INTERPRETATION CRP is a more specific triage test than W4SS in those initiating ART. Sputum induction improves diagnostic yield. Sputum samples with Xpert Ultra is a more accurate confirmatory test than with Xpert. FUNDING South African Medical Research Council, EDCTP2, US National Institutes of Health-National Institute of Allergy and Infectious Diseases.
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Affiliation(s)
- Byron W P Reeve
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gcobisa Ndlangalavu
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Hridesh Mishra
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Public Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Zaida Palmer
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Happy Tshivhula
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Loren Rockman
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Selisha Naidoo
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Desiree L Mbu
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Charissa C Naidoo
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Brigitta Derendinger
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gerhard Walzl
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Stephanus T Malherbe
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Paul D van Helden
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Fred C Semitala
- Makerere University Joint AIDS Program (MJAP), Kampala, Uganda; Department of Internal Medicine, Makerere University College of Health Sciences, Makerere, Kampala, Uganda
| | - Christina Yoon
- Makerere University Joint AIDS Program (MJAP), Kampala, Uganda; Department of Medicine, Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA
| | - Rishi K Gupta
- Division of Infection and Immunity, University College London, London, UK
| | | | - Robin M Warren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
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10
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Yu Z, Shang Z, Huang Q, Wen F, Patil S. Integrating systemic immune-inflammation index, fibrinogen, and T-SPOT.TB for precision distinction of active pulmonary tuberculosis in the era of mycobacterial disease research. Front Microbiol 2024; 15:1382665. [PMID: 38725688 PMCID: PMC11079184 DOI: 10.3389/fmicb.2024.1382665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
Background The clinical challenge of differentiating suspected tuberculosis with positive T-SPOT.TB results persist. This study aims to investigate the utility of the Systemic Immune-Inflammation Index (SII), Fibrinogen, and T-SPOT.TB in distinguishing between active pulmonary tuberculosis (PTB) and non-tuberculous lung diseases. Methods A retrospective analysis included 1,327 cases of active PTB with positive T-SPOT.TB results and 703 cases of non-tuberculous lung diseases from May 2016 to December 2020 at Meizhou People's Hospital. These were designated as the case group and the control group, respectively. The detection indicators of T-SPOT.TB: Early Secreted Antigenic Target 6 (ESAT-6), Culture Filtrate Protein 10 (CFP-10), as well as SII and Fibrinogen levels-were compared and analyzed for association and joint diagnostic value between the two groups. Results The case group showed higher values of ESAT-6, CFP-10, SII, and Fibrinogen compared to the control group (all p < 0.001). In the case group, SII and Fibrinogen did not correlate with ESAT-6 and CFP-10 (∣rs∣ all < 0.3) but were positively correlated with C-reactive protein (CRP; rs all > 0.3). SII and Fibrinogen values in smear-positive pulmonary tuberculosis were higher than in smear-negative cases (all p < 0.05). The optimal diagnostic thresholds for ESAT-6, CFP-10, SII, and Fibrinogen in differentiating between active PTB and non-tuberculous lung diseases were 21.50 SFCs/106 PBMC, 22.50 SFCs/106 PBMC, 2128.32, and 5.02 g/L, respectively. Regression logistic analysis showed that ESAT-6 < 21.5 (OR: 1.637, 95% CI: 1.311-2.043, p < 0.001), CFP-10 < 22.5 (OR: 3.918, 95% CI: 3.138-4.892, p = 0.025), SII < 2128.32 (OR: 0.763, 95% CI: 0.603-0.967, p < 0.001), and FIB < 5.02 (OR: 2.287, 95% CI: 1.865-2.806, p < 0.001) were independent risk factors for active PTB. The specificity for ESAT-6 + CFP-10, ESAT-6 + CFP-10 + SII, ESAT-6 + CFP-10 + FIB, and ESAT-6 + CFP-10 + SII + FIB was 82.5%, 83.2%, 95.8%, and 80.1%, respectively, while sensitivity was 52.6%, 53.0%, 55.8%, and 44.7%, and positive predictive values were 85.0%, 85.6%, 84.1%, and 89.6%, respectively. Conclusion SII and Fibrinogen are positively correlated with the degree of tuberculosis inflammation and the bacterial load of Mycobacterium tuberculosis. The combined detection of SII, Fibrinogen, and T-SPOT.TB is significant in distinguishing between active PTB with positive T-SPOT.TB results and non-tuberculous lung diseases.
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Affiliation(s)
- Zhikang Yu
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Zifang Shang
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Qingyan Huang
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Feiqiu Wen
- Department of Haematology and Oncology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Sandip Patil
- Department of Haematology and Oncology, Shenzhen Children’s Hospital, Shenzhen, China
- Paediatric Research Institute, Shenzhen Children’s Hospital, Shenzhen, China
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11
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Derendinger B, Mochizuki TK, Marcelo D, Shankar D, Mangeni W, Nguyen H, Yerikaya S, Worodria W, Yu C, Nguyen NV, Christopher DJ, Theron G, Phillips PP, Nahid P, Denkinger CM, Cattamanchi A, Yoon C. C-reactive protein-based tuberculosis triage testing: a multi-country diagnostic accuracy study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.23.24305228. [PMID: 38712173 PMCID: PMC11071588 DOI: 10.1101/2024.04.23.24305228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Rationale C-reactive protein (CRP)-based tuberculosis (TB) screening is recommended for people with HIV (PWH). However, its performance among people without HIV and in diverse settings is unknown. Objectives In a multi-country study, we aimed to determine whether CRP meets the minimum accuracy targets (sensitivity ≥90%, specificity ≥70%) for an effective TB triage test. Methods/Measurements Consecutive outpatient adults with cough ≥2 weeks from five TB endemic countries in Africa and Asia had baseline blood collected for point-of-care CRP testing and HIV and diabetes screening. Sputum samples were collected for Xpert MTB/RIF Ultra (Xpert) testing and culture. CRP sensitivity and specificity (5 mg/L cut-point) was determined in reference to sputum test results and compared by country, sex, and HIV and diabetes status. Variables affecting CRP performance were identified using a multivariate receiver operating characteristic (ROC) regression model. Results Among 2904 participants, of whom 613 (21%) had microbiologically-confirmed TB, CRP sensitivity was 84% (95% CI: 81-87%) and specificity was 61% (95% CI: 59-63%). CRP accuracy varied geographically, with higher sensitivity in African countries (≥91%) than Asian countries (64-82%). Sensitivity was higher among men than women (87% vs. 79%, difference +8%, 95% CI: 1-15%) and specificity was higher among people without HIV than PWH (64% vs. 45%, difference +19%, 95% CI: 13-25%). ROC regression identified country and measures of TB disease severity as predictors of CRP performance. Conclusions Overall, CRP did not achieve the minimum accuracy targets and its performance varied by setting and in some sub-groups, likely reflecting population differences in mycobacterial load.
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Affiliation(s)
- Brigitta Derendinger
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Tessa K. Mochizuki
- Division of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA
- UCSF Center for Tuberculosis, University of California San Francisco, San Francisco, USA
| | - Danaida Marcelo
- De La Salle Medical Health Sciences Institute, Dasmariñas City, Philippines
| | - Deepa Shankar
- Department of Pulmonary Medicine, Christian Medical College, Vellore, India
| | - Wilson Mangeni
- Walimu and Makerere University College of Health Sciences, Kampala, Uganda
| | | | - Seda Yerikaya
- Department of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital; German Center for Infection Research, partner site, Heidelberg, Germany
| | - William Worodria
- Walimu and Makerere University College of Health Sciences, Kampala, Uganda
| | - Charles Yu
- De La Salle Medical Health Sciences Institute, Dasmariñas City, Philippines
| | | | | | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Patrick P.J. Phillips
- Division of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA
- UCSF Center for Tuberculosis, University of California San Francisco, San Francisco, USA
| | - Payam Nahid
- Division of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA
- UCSF Center for Tuberculosis, University of California San Francisco, San Francisco, USA
| | - Claudia M. Denkinger
- Department of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital; German Center for Infection Research, partner site, Heidelberg, Germany
| | - Adithya Cattamanchi
- UCSF Center for Tuberculosis, University of California San Francisco, San Francisco, USA
- Division of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, CA
| | - Christina Yoon
- Division of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA
- UCSF Center for Tuberculosis, University of California San Francisco, San Francisco, USA
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12
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Dhana A, Gupta RK, Hamada Y, Kengne AP, Kerkhoff AD, Yoon C, Cattamanchi A, Reeve BWP, Theron G, Ndlangalavu G, Wood R, Drain PK, Calderwood CJ, Noursadeghi M, Boyles T, Meintjes G, Maartens G, Barr DA. Clinical utility of WHO-recommended screening tools and development and validation of novel clinical prediction models for pulmonary tuberculosis screening among outpatients living with HIV: an individual participant data meta-analysis. Eur Respir Rev 2023; 32:230021. [PMID: 37286216 PMCID: PMC10245131 DOI: 10.1183/16000617.0021-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 03/15/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND The World Health Organization (WHO) recommends that outpatient people living with HIV (PLHIV) undergo tuberculosis screening with the WHO four-symptom screen (W4SS) or C-reactive protein (CRP) (5 mg·L-1 cut-off) followed by confirmatory testing if screen positive. We conducted an individual participant data meta-analysis to determine the performance of WHO-recommended screening tools and two newly developed clinical prediction models (CPMs). METHODS Following a systematic review, we identified studies that recruited adult outpatient PLHIV irrespective of tuberculosis signs and symptoms or with a positive W4SS, evaluated CRP and collected sputum for culture. We used logistic regression to develop an extended CPM (which included CRP and other predictors) and a CRP-only CPM. We used internal-external cross-validation to evaluate performance. RESULTS We pooled data from eight cohorts (n=4315 participants). The extended CPM had excellent discrimination (C-statistic 0.81); the CRP-only CPM had similar discrimination. The C-statistics for WHO-recommended tools were lower. Both CPMs had equivalent or higher net benefit compared with the WHO-recommended tools. Compared with both CPMs, CRP (5 mg·L-1 cut-off) had equivalent net benefit across a clinically useful range of threshold probabilities, while the W4SS had a lower net benefit. The W4SS would capture 91% of tuberculosis cases and require confirmatory testing for 78% of participants. CRP (5 mg·L-1 cut-off), the extended CPM (4.2% threshold) and the CRP-only CPM (3.6% threshold) would capture similar percentages of cases but reduce confirmatory tests required by 24, 27 and 36%, respectively. CONCLUSIONS CRP sets the standard for tuberculosis screening among outpatient PLHIV. The choice between using CRP at 5 mg·L-1 cut-off or in a CPM depends on available resources.
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Affiliation(s)
- Ashar Dhana
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Rishi K Gupta
- Institute for Global Health, University College London, London, UK
| | - Yohhei Hamada
- Institute for Global Health, University College London, London, UK
- Centre for International Cooperation and Global TB Information, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Andre P Kengne
- Non-communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Andrew D Kerkhoff
- Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California San Francisco, San Francisco, CA, USA
| | - Christina Yoon
- Department of Medicine, Division of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, CA, USA
| | - Adithya Cattamanchi
- Department of Medicine, Division of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, CA, USA
| | - Byron W P Reeve
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gcobisa Ndlangalavu
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Robin Wood
- Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Paul K Drain
- Departments of Global Health, Medicine, and Epidemiology, University of Washington, Seattle, WA, USA
| | - Claire J Calderwood
- Institute for Global Health, University College London, London, UK
- Clinical Research Department, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
- The Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, UK
| | - Tom Boyles
- Helen Joseph Hospital, Johannesburg, South Africa
| | - Graeme Meintjes
- Department of Medicine, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Gary Maartens
- Department of Medicine, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - David A Barr
- Institute of Infection and Global Health, University of Liverpool, Liverpool, UK
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13
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Xie G, Hu Q, Cao X, Wu W, Dai P, Guo W, Wang O, Wei L, Ren R, Li Y. Clinical identification and microbiota analysis of Chlamydia psittaci- and Chlamydia abortus- pneumonia by metagenomic next-generation sequencing. Front Cell Infect Microbiol 2023; 13:1157540. [PMID: 37434780 PMCID: PMC10331293 DOI: 10.3389/fcimb.2023.1157540] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/29/2023] [Indexed: 07/13/2023] Open
Abstract
Introduction Recently, the incidence of chlamydial pneumonia caused by rare pathogens such as C. psittaci or C. abortus has shown a significant upward trend. The non-specific clinical manifestations and the limitations of traditional pathogen identification methods determine that chlamydial pneumonia is likely to be poorly diagnosed or even misdiagnosed, and may further result in delayed treatment or unnecessary antibiotic use. mNGS's non-preference and high sensitivity give us the opportunity to obtain more sensitive detection results than traditional methods for rare pathogens such as C. psittaci or C. abortus. Methods In the present study, we investigated both the pathogenic profile characteristics and the lower respiratory tract microbiota of pneumonia patients with different chlamydial infection patterns using mNGS. Results More co-infecting pathogens were found to be detectable in clinical samples from patients infected with C. psittaci compared to C. abortus, suggesting that patients infected with C. psittaci may have a higher risk of mixed infection, which in turn leads to more severe clinical symptoms and a longer disease course cycle. Further, we also used mNGS data to analyze for the first time the characteristic differences in the lower respiratory tract microbiota of patients with and without chlamydial pneumonia, the impact of the pattern of Chlamydia infection on the lower respiratory tract microbiota, and the clinical relevance of these characteristics. Significantly different profiles of lower respiratory tract microbiota and microecological diversity were found among different clinical subgroups, and in particular, mixed infections with C. psittaci and C. abortus resulted in lower lung microbiota diversity, suggesting that chlamydial infections shape the unique lung microbiota pathology, while mixed infections with different Chlamydia may have important effects on the composition and diversity of the lung microbiota. Discussion The present study provides possible evidences supporting the close correlation between chlamydial infection, altered microbial diversity in patients' lungs and clinical parameters associated with infection or inflammation in patients, which also provides a new research direction to better understand the pathogenic mechanisms of pulmonary infections caused by Chlamydia.
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Affiliation(s)
- Gongxun Xie
- Department of Pathology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, China
| | - Qing Hu
- Department of Pathology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, China
| | - Xuefang Cao
- Institute of Innovative Applications, MatriDx Biotechnology Co., Ltd, Hangzhou, Zhejiang, China
| | - Wenjie Wu
- Institute of Innovative Applications, MatriDx Biotechnology Co., Ltd, Hangzhou, Zhejiang, China
| | - Penghui Dai
- Department of Pathology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, China
| | - Wei Guo
- Department of Pathology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, China
| | - Ouxi Wang
- Institute of Innovative Applications, MatriDx Biotechnology Co., Ltd, Hangzhou, Zhejiang, China
| | - Liang Wei
- Institute of Innovative Applications, MatriDx Biotechnology Co., Ltd, Hangzhou, Zhejiang, China
| | - Ruotong Ren
- Institute of Innovative Applications, MatriDx Biotechnology Co., Ltd, Hangzhou, Zhejiang, China
- Foshan Branch, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Yanchun Li
- Department of Pathology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, China
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14
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Mann T, Gupta RK, Reeve BWP, Ndlangalavu G, Chandran A, Krishna AP, Calderwood CJ, Tshivhula H, Palmer Z, Naidoo S, Mbu DL, Theron G, Noursadeghi M. Blood RNA biomarkers for tuberculosis screening in people living with HIV prior to anti-retroviral therapy initiation: A diagnostic accuracy study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.01.23290783. [PMID: 37397982 PMCID: PMC10312886 DOI: 10.1101/2023.06.01.23290783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background Undiagnosed tuberculosis (TB) remains a major threat for people living with HIV (PLHIV). Multiple blood transcriptomic biomarkers have shown promise for TB diagnosis. We sought to evaluate their diagnostic accuracy and clinical utility for systematic pre-antiretroviral therapy (ART) TB screening. Methods We enrolled consecutive adults referred to start ART at a community health centre in Cape Town, South Africa, irrespective of symptoms. Sputa were obtained (using induction if required) for two liquid cultures. Whole-blood RNA samples underwent transcriptional profiling using a custom Nanostring gene-panel. We measured the diagnostic accuracy of seven candidate RNA biomarkers for the reference standard of Mycobacterium tuberculosis culture status, using area under the receiver-operating characteristic curve (AUROC) analysis, and sensitivity/specificity at pre-specified thresholds (two standard scores above the mean of healthy controls; Z2). Clinical utility was assessed using decision curve analysis. We compared performance to CRP (threshold ≥5mg/L), World Health Organisation (WHO) four-symptom screen (W4SS) and the WHO target product profile for TB triage tests. Results A total of 707 PLHIV were included, with median CD4 count 306 cells/mm3. Of 676 with available sputum culture results, 89 (13%) had culture-confirmed TB. The seven RNA biomarkers were moderately to highly correlated (Spearman rank coefficients 0.42-0.93) and discriminated TB culture-positivity with similar AUROCs (0.73-0.80), but none statistically better than CRP (AUROC 0.78; 95% CI 0.72-0.83). Diagnostic accuracy was similar across CD4 count strata, but lower among W4SS-negative (AUROCs 0.56-0.65) compared to W4SS-positive participants (AUROCs 0.75-0.84). The RNA biomarker with highest AUROC point estimate was a 4-gene signature (Suliman4; AUROC 0.80; 95% CI 0.75-0.86), with sensitivity 0.83 (0.74-0.90) and specificity 0.59 (0.55-0.63) at Z2 threshold. In decision curve analysis, Suliman4 and CRP had similar clinical utility to guide confirmatory TB testing, but both had higher net benefit than W4SS. In exploratory analyses, an approach combining CRP (≥5mg/L) and Suliman4 (≥Z2) had sensitivity of 0.80 (0.70-0.87), specificity of 0.70 (0.66-0.74) and higher net benefit than either biomarker alone. Interpretation RNA biomarkers showed better clinical utility to guide confirmatory TB testing for PLHIV prior to ART initiation than symptom-based screening, but their performance did not exceed that of CRP, and fell short of WHO recommended targets. Interferon-independent approaches may be required to improve accuracy of host-response biomarkers to support TB screening pre-ART initiation. Funding South African MRC, EDCTP2, NIH/NIAID, Wellcome Trust, NIHR, Royal College of Physicians London.
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Affiliation(s)
- Tiffeney Mann
- Division of Infection and Immunity, University College London, London, UK
| | - Rishi K Gupta
- Institute of Health Informatics, University College London, London, UK
| | - Byron WP Reeve
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | - Gcobisa Ndlangalavu
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | - Aneesh Chandran
- Division of Infection and Immunity, University College London, London, UK
| | - Amirtha P Krishna
- Division of Infection and Immunity, University College London, London, UK
| | - Claire J Calderwood
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Happy Tshivhula
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | - Zaida Palmer
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | - Selisha Naidoo
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | - Desiree L Mbu
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town
| | | | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, UK
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15
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Ruperez M, Shanaube K, Mureithi L, Wapamesa C, Burnett MJ, Kosloff B, de Haas P, Hayes R, Fidler S, Gachie T, Schaap A, Floyd S, Klinkenberg E, Ayles H. Use of point-of-care C-reactive protein testing for screening of tuberculosis in the community in high-burden settings: a prospective, cross-sectional study in Zambia and South Africa. Lancet Glob Health 2023; 11:e704-e714. [PMID: 37061309 DOI: 10.1016/s2214-109x(23)00113-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/07/2023] [Accepted: 02/13/2023] [Indexed: 04/17/2023]
Abstract
BACKGROUND WHO recommends community-wide, systematic tuberculosis screening in high-prevalence settings. C-reactive protein has been proposed as a tuberculosis screening tool for people living with HIV. We aimed to assess the performance of a point-of-care C-reactive protein test for tuberculosis screening in the community in two countries with a high tuberculosis burden. METHODS We conducted a prospective, cross-sectional study in four communities in Zambia and South Africa, nested in a tuberculosis prevalence survey. We included adults (aged ≥15 years) who were sputum-eligible (tuberculosis-suggestive symptoms or computer-aided-detection score ≥40 on chest x-ray) and whose sputum was tested with Xpert Ultra and liquid culture. A 5% random sample of individuals who were non-sputum-eligible was also included. We calculated sensitivity and specificity of point-of-care C-reactive protein testing, alone and combined with symptom screening, to detect tuberculosis in participants who were sputum-eligible, compared with a microbiological reference standard (positive result in Xpert Ultra, culture, or both). FINDINGS Between Feb 19 and Aug 11, 2019, 9588 participants were enrolled in the tuberculosis prevalence study, 1588 of whom had C-reactive protein testing and received results (875 [55·1%] were women and girls, 713 [44·9%] were men and boys, 1317 [82·9%] were sputum-eligible, and 271 [17·1%] were non-sputum-eligible). Among participants who were sputum-eligible, we identified 76 individuals with tuberculosis, of whom 25 were living with HIV. Sensitivity of point-of-care C-reactive protein testing with a cutoff point of 5 mg/L or more was 50·0% (38/76, 95% CI 38·3-61·7) and specificity was 72·3% (890/1231, 69·7-74·8). Point-of-care C-reactive protein combined in parallel with symptom screening had higher sensitivity than symptom screening alone (60·5% [46/76, 95% CI 48·6-71·6] vs 34·2% [26/76, 23·7-46·0]). Specificity of point-of-care C-reactive protein combined in parallel with symptom screening was 51·7% (636/1231, 95% CI 48·8-54·5) versus 70·5% (868/1231, 67·9-73·0) with symptom screening alone. Similarly, in people living with HIV, sensitivity of point-of-care C-reactive protein combined with symptom screening was 72·0% (18/25, 95% CI 50·6-87·9) and that of symptom screening alone was 36·0% (9/25, 18·0-57·5). Specificity of point-of-care C-reactive protein testing combined in parallel with symptom screening in people living with HIV was 47·0% (118/251, 95% CI 40·7-53·4) versus 72·1% (181/251, 66·1-77·6) with symptom screening alone. INTERPRETATION Point-of-care C-reactive protein testing alone does not meet the 90% sensitivity stipulated by WHO's target product profile for desirable characteristics for screening tests for detecting tuberculosis. However, combined with symptom screening, it might improve identification of individuals with tuberculosis in communities with high prevalence, and might be particularly useful where other recommended tools, such as chest x-ray, might not be readily available. FUNDING European and Developing Countries Clinical Trials Partnership.
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Affiliation(s)
- Maria Ruperez
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
| | | | | | | | | | - Barry Kosloff
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK; Zambart, Lusaka, Zambia
| | - Petra de Haas
- KNCV Tuberculosis Foundation, The Hague, Netherlands
| | - Richard Hayes
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Sarah Fidler
- Faculty of Medicine, Department of Infectious Disease, Imperial College London, London, UK
| | - Thomas Gachie
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK; Zambart, Lusaka, Zambia
| | - Albertus Schaap
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; Zambart, Lusaka, Zambia
| | - Sian Floyd
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Eveline Klinkenberg
- KNCV Tuberculosis Foundation, The Hague, Netherlands; Department of Global Health, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Helen Ayles
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK; Zambart, Lusaka, Zambia
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16
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Wu X, Liang R, Xiao Y, Liu H, Zhang Y, Jiang Y, Liu M, Tang J, Wang W, Li W, Hu L, Wang A, Yu F, Xia H. Application of targeted next generation sequencing technology in the diagnosis of Mycobacterium Tuberculosis and first line drugs resistance directly from cell-free DNA of bronchoalveolar lavage fluid. J Infect 2023; 86:399-401. [PMID: 36706961 DOI: 10.1016/j.jinf.2023.01.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023]
Affiliation(s)
- Xiaocui Wu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ruobing Liang
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Yanqun Xiao
- Department of Molecular Biology, Shanghai Centre for Clinical Laboratory, Shanghai, China
| | - Huan Liu
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Ye Zhang
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Yue Jiang
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Mengdi Liu
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Jianzhong Tang
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Wei Wang
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Wei Li
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Long Hu
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China
| | - Aihua Wang
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - Fangyou Yu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
| | - Han Xia
- Department of Scientific Affaires, Hugobiotech Co., Ltd., Beijing, China.
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