Evaluation of QuantiFERON TB gold plus among TB household contacts in high incidence settings
Background Accurately identifying and categorizing individuals who are latently infected is critical for developing prevention strategies against tuberculosis (TB) disease.
Sophie Nalukwago +7 more
doaj +1 more source
Comparison of QFT-IT and QFT-Plus for Detecting Latent Tuberculosis in HIV-Infected Iranian Patients
Background: Tuberculosis (TB) is a major public health issue, especially among Human immunodeficiency virus (HIV)-infected individuals, where early detection of latent tuberculosis infection (LTBI) is crucial.
Zahra Abtahian +4 more
doaj +1 more source
Objectives: We investigated whether quantifying the serial QuantiFERON-TB Gold (QFT) response improves tuberculosis (TB) risk stratification in pulmonary TB (PTB) contacts.
Jee Whang Kim +7 more
doaj +1 more source
Background: Prompt diagnosis and treatment of latent tuberculosis (TB) infection (LTBI) are needed to control TB. The aim of the study was to compare the performance of Quanti FERON-TB test (QFT) with conventional TST for the diagnosis of LTBI. Methods:
Seyed-Mohammad Alavi +2 more
doaj
Background: Appropriate diagnosis and treatment of latent tuberculosis infection (LTBI) play the most important role in the control of tuberculosis.
Hossein Masoumi Asl +3 more
doaj
Sensitivity of Tuberculosis Infection Diagnostic Tests Among Different Populations: A Systematic Review and Meta-analysis. [PDF]
Rana N +8 more
europepmc +1 more source
Comparative agreement between tuberculin skin test and QuantiFERON-TB Gold In-Tube across different levels of exposure in a college-based tuberculosis outbreak. [PDF]
Sun Z +9 more
europepmc +1 more source
Fourth-generation chemiluminescence QuantiFERON-TB Plus assay <i>versus</i> T-SPOT.TB semi-automated assay: a case for the use of both assays in immunosuppressed patients. [PDF]
Palacios-Penedo S +11 more
europepmc +1 more source
Performance of TB Antigen-Based Skin Tests Amongst Healthcare Workers-Sevagram, India, 2023-2024. [PDF]
Shivkumar PV +16 more
europepmc +1 more source
A QuantiFERON<sup>®</sup>-TB Gold Plus-Based Model for Predicting Latent Tuberculosis Infection in Patients with Diabetes. [PDF]
Zhou J +7 more
europepmc +1 more source

