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Zhang M, Yang C, Guo Y. A case of tuberculous pleurisy characterized by bleeding and necrosis documented by medical thoracoscope. Respirol Case Rep 2023; 11:e01233. [PMID: 37822865 PMCID: PMC10562966 DOI: 10.1002/rcr2.1233] [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: 09/04/2023] [Accepted: 09/26/2023] [Indexed: 10/13/2023] Open
Abstract
Tuberculous pleurisy is a main cause of pleural effusions. The main histological abnormalities in pleural biopsy of tuberculous pleurisy are caseating granulomas and epithelioid cell granuloma. In our case, chronic inflammation of fibrous tissue with bleeding, necrosis, and exudation were observed during a medical thoracoscopy as manifestations of tuberculous pleurisy.
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Affiliation(s)
- Minlong Zhang
- College of Pulmonary & Critical Care Medicine, 8th Medical CentreChinese PLA General HospitalBeijingPeople's Republic of China
| | - Cuiping Yang
- College of Pulmonary & Critical Care Medicine, 8th Medical CentreChinese PLA General HospitalBeijingPeople's Republic of China
| | - Yinghua Guo
- College of Pulmonary & Critical Care Medicine, 8th Medical CentreChinese PLA General HospitalBeijingPeople's Republic of China
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McIntosh AI, Jenkins HE, White LF, Barnard M, Thomson DR, Dolby T, Simpson J, Streicher EM, Kleinman MB, Ragan EJ, van Helden PD, Murray MB, Warren RM, Jacobson KR. Using routinely collected laboratory data to identify high rifampicin-resistant tuberculosis burden communities in the Western Cape Province, South Africa: A retrospective spatiotemporal analysis. PLoS Med 2018; 15:e1002638. [PMID: 30130377 PMCID: PMC6103505 DOI: 10.1371/journal.pmed.1002638] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 07/13/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND South Africa has the highest tuberculosis incidence globally (781/100,000), with an estimated 4.3% of cases being rifampicin resistant (RR). Control and elimination strategies will require detailed spatial information to understand where drug-resistant tuberculosis exists and why it persists in those communities. We demonstrate a method to enable drug-resistant tuberculosis monitoring by identifying high-burden communities in the Western Cape Province using routinely collected laboratory data. METHODS AND FINDINGS We retrospectively identified cases of microbiologically confirmed tuberculosis and RR-tuberculosis from all biological samples submitted for tuberculosis testing (n = 2,219,891) to the Western Cape National Health Laboratory Services (NHLS) between January 1, 2008, and June 30, 2013. Because the NHLS database lacks unique patient identifiers, we performed a series of record-linking processes to match specimen records to individual patients. We counted an individual as having a single disease episode if their positive samples came from within two years of each other. Cases were aggregated by clinic location (n = 302) to estimate the percentage of tuberculosis cases with rifampicin resistance per clinic. We used inverse distance weighting (IDW) to produce heatmaps of the RR-tuberculosis percentage across the province. Regression was used to estimate annual changes in the RR-tuberculosis percentage by clinic, and estimated average size and direction of change was mapped. We identified 799,779 individuals who had specimens submitted from mappable clinics for testing, of whom 222,735 (27.8%) had microbiologically confirmed tuberculosis. The study population was 43% female, the median age was 36 years (IQR 27-44), and 10,255 (4.6%, 95% CI: 4.6-4.7) cases had documented rifampicin resistance. Among individuals with microbiologically confirmed tuberculosis, 8,947 (4.0%) had more than one disease episode during the study period. The percentage of tuberculosis cases with rifampicin resistance documented among these individuals was 11.4% (95% CI: 10.7-12.0). Overall, the percentage of tuberculosis cases that were RR-tuberculosis was spatially heterogeneous, ranging from 0% to 25% across the province. Our maps reveal significant yearly fluctuations in RR-tuberculosis percentages at several locations. Additionally, the directions of change over time in RR-tuberculosis percentage were not uniform. The main limitation of this study is the lack of unique patient identifiers in the NHLS database, rendering findings to be estimates reliant on the accuracy of the person-matching algorithm. CONCLUSIONS Our maps reveal striking spatial and temporal heterogeneity in RR-tuberculosis percentages across this province. We demonstrate the potential to monitor RR-tuberculosis spatially and temporally with routinely collected laboratory data, enabling improved resource targeting and more rapid locally appropriate interventions.
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Affiliation(s)
- Avery I. McIntosh
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Helen E. Jenkins
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Laura F. White
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | | | - Dana R. Thomson
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Tania Dolby
- National Health Laboratory Service, Cape Town, South Africa
| | - John Simpson
- National Health Laboratory Service, Cape Town, South Africa
| | - Elizabeth M. Streicher
- DST/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
| | - Mary B. Kleinman
- Section of Infectious Diseases, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, United States of America
| | - Elizabeth J. Ragan
- Section of Infectious Diseases, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, United States of America
| | - Paul D. van Helden
- DST/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
| | - Megan B. Murray
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Robin M. Warren
- DST/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
| | - Karen R. Jacobson
- Section of Infectious Diseases, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, United States of America
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Chiacchio T, Petruccioli E, Vanini V, Cuzzi G, La Manna MP, Orlando V, Pinnetti C, Sampaolesi A, Antinori A, Caccamo N, Goletti D. Impact of antiretroviral and tuberculosis therapies on CD4 + and CD8 + HIV/M. tuberculosis-specific T-cell in co-infected subjects. Immunol Lett 2018; 198:33-43. [PMID: 29635002 DOI: 10.1016/j.imlet.2018.04.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 03/17/2018] [Accepted: 04/04/2018] [Indexed: 01/02/2023]
Abstract
BACKGROUND Human Immunodeficiency Virus (HIV) infection is a risk factor for tuberculosis (TB). Antiretroviral therapy (ART) changed HIV clinical management but it is still unclear how pre-existing HIV/Mycobacterium tuberculosis (Mtb)-specific CD4+ and CD8+ T-cells are restored. AIM to evaluate the impact of ART and TB therapies on the functional and phenotypic profile of Mtb-specific antigen-response of CD4+ and CD8+ T-cells in prospectively enrolled HIV-TB co-infected patients. METHODS ART-naïve HIV-infected patients, with or without active TB or latent TB infection (LTBI), were enrolled before and after starting ART and TB therapies. Peripheral blood mononuclear cells (PBMC) were stimulated overnight with Mtb and HIV antigens (GAG). Cytokine expression and phenotype profile were evaluated by flow cytometry. Cytomegalovirus (CMV) and staphylococcal enterotoxin B (SEB) were also used. RESULTS The median of absolute number of CD4+ T-cells increased after ART and TB therapies in all groups analyzed, while the median of absolute number of CD8+ T-cells decreases in HIV and HIV-LTBI groups. Treatments significantly increased the frequency of Mtb-specific CD4+ T-cells in the HIV-LTBI (p = 0.015) with a rise of the central memory compartment. The magnitude of the CD4+ T-cell response to HIV-GAG significantly increased in active TB (p = 0.03), whereas the magnitude of CMV-specific CD4+ T-cell response decreased in all the groups. Similarly, the treatments increased the number of Mtb-specific CD8+ responders in both HIV-LTBI and HIV-TB groups, whereas the phenotype distribution was dependent on the antigens used and on the stage of infection/disease. CONCLUSIONS After therapies the median of absolute number and the proportion of CD4+ T-cells increased in all groups whereas the median of absolute count and proportion of CD8+ T-cells decreased in the HIV and HIV-LTBI subjects. Interestingly, an increased frequency of CD4+ T-cell response to RD1 proteins in HIV-LTBI subjects was found. These results contribute to a better understanding of the effect of ART and TB therapies on the modulation of Mtb-specific CD4+ and CD8+ T-cells subsets.
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Affiliation(s)
- Teresa Chiacchio
- Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI), IRCCS, Via Portuense 292, 00149 Rome, Italy
| | - Elisa Petruccioli
- Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI), IRCCS, Via Portuense 292, 00149 Rome, Italy
| | - Valentina Vanini
- Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI), IRCCS, Via Portuense 292, 00149 Rome, Italy
| | - Gilda Cuzzi
- Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI), IRCCS, Via Portuense 292, 00149 Rome, Italy
| | - Marco Pio La Manna
- Central Laboratory of Advanced Diagnosis and Biomedical Research (CLADIBIOR), Azienda Ospedaliera Universitaria Policlinico P. Giaccone, Dipartimento di Biopatologia e Biotecnologie Mediche, Università di Palermo, Palermo, Italy
| | - Valentina Orlando
- Central Laboratory of Advanced Diagnosis and Biomedical Research (CLADIBIOR), Azienda Ospedaliera Universitaria Policlinico P. Giaccone, Dipartimento di Biopatologia e Biotecnologie Mediche, Università di Palermo, Palermo, Italy
| | - Carmela Pinnetti
- HIV/AIDS Department, National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Roma, Italy
| | - Alessandro Sampaolesi
- HIV/AIDS Department, National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Roma, Italy
| | - Andrea Antinori
- HIV/AIDS Department, National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Roma, Italy
| | - Nadia Caccamo
- Central Laboratory of Advanced Diagnosis and Biomedical Research (CLADIBIOR), Azienda Ospedaliera Universitaria Policlinico P. Giaccone, Dipartimento di Biopatologia e Biotecnologie Mediche, Università di Palermo, Palermo, Italy
| | - Delia Goletti
- Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI), IRCCS, Via Portuense 292, 00149 Rome, Italy.
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