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Comparative Performance of Ante-Mortem Diagnostic Assays for the Identification of -Infected Domestic Dogs ().
Pathogens
January 2025
The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK.
The domestic dog () is a competent host for () infection but no ante mortem diagnostic tests have been fully validated for this species. The aim of this study was to compare the performance of ante mortem diagnostic tests across samples collected from dogs considered to be at a high or low risk of sub-clinical infection. We previously tested a total of 164 dogs at a high risk of infection and here test 42 dogs at a low risk of infection and 77 presumed uninfected dogs with a combination of cell-based and/or serological diagnostic assays previously described for use in non-canid species.
View Article and Find Full Text PDFDiagnostic value of interferon-γ release assay in patients with COPD complicated with pulmonary tuberculosis.
BMC Infect Dis
January 2025
The Third Department of Infection, Fifth Hospital of Shijiazhuang, Shijiazhuang, Hebei, China.
Background: The common diagnostic methods for tuberculosis have been showing reduced sensitivity among chronic obstructive pulmonary disease patients. This study was conducted to evaluate and analyse the diagnostic value of an interferon-γ release assay in COPD patients complicated with pulmonary tuberculosis.
Methods: A nested case-control study was conducted on 123 COPD patients hospitalized at the Fifth Hospital of Shijiazhuang, Hebei Province, from January 2019 to June 2021.
Performance evaluation of the LIOFeron®TB/LTBI IGRA for screening of paediatric LTBI and tuberculosis.
Eur J Pediatr
January 2025
Infectious Diseases Unit, Department of Health Sciences, Anna Meyer Children's University Hospital, University of Florence, Florence, Italy.
Purpose: High-accuracy diagnostic screening tests for Mycobacterium tuberculosis (MTB) infection are required, primarily to detect patients with latent infections (LTBIs) in order to avoid their progression to active tuberculosis disease. The performance of the novel IGRA LIOFeron®TB/LTBI was evaluated in children. The originality of this test is the new MTB antigen contained (L-alanine dehydrogenase), identified as a tool to differentiate active TB from LTBI infection.
View Article and Find Full Text PDFEvaluation of QuantiFERON-TB Gold for the Diagnosis of Infection in HTLV-1-Infected Patients.
Viruses
November 2024
Laboratório Avançado de Saúde Pública, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz (Fiocruz-BA), Salvador 40296-710, Bahia, Brazil.
Human T-cell leukemia virus type 1 (HTLV-1) is associated with an increased risk of tuberculosis (TB). This study aimed to evaluate the performance of the QuantiFERON-TB Gold (QFT) test for the diagnosis of (MTB) infection in HTLV-1-infected individuals. HTLV-1-infected participants were divided into four groups: HTLV-1-infected individuals with a history of tuberculosis (HTLV/TB), individuals with positive HTLV and tuberculin skin tests (HTLV/TST+) or negative TST (HTLV/TST-), and HTLV-1-negative individuals with positive TST results (HN/TST+).
View Article and Find Full Text PDFDiagnostic Accuracy of Antigen-Based Skin Tests (TBSTs) for Tuberculosis Infection Compared with TST and IGRA: A Network Meta-Analysis.
Pathogens
November 2024
Yunnan Province Key Laboratory of Children's Major Diseases Research, School of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
The aim of this study was to evaluate the diagnostic accuracy of the IGRA, TST, and TBST by combining diagnostic test accuracy (DTA) analysis and network meta-analysis (NMA) to increase the reliability and accuracy of diagnostic methods and promote the eradication of TB. An electronic search of the PubMed, Embase, and Cochrane databases was conducted, from the date of establishment to September 30, 2024. Data were synthesized with frequentist random-effects network meta-analyses, a single-group rate meta-analysis algorithm, and a bivariate mixed-effects logistic regression model.
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