The diagnosis of latent and active tuberculosis in the HIV-positive population is challenged by diminished sensitivity of conventional tests, atypical presentations, and the lack of culture methods in the developing world, where the burden of co-infection is greatest. In response to these challenges, a variety of new diagnostics have emerged. These include interferon-gamma release assays for the diagnosis of latent tuberculosis (TB) infection and novel culture methods and molecular assays for the diagnosis of active tuberculosis. Although some tests (such as interferon-gamma release assays) are not clearly superior to existing diagnostics, other novel diagnostics, such as real-time polymerase chain reaction and the microscopic observed direct susceptibility assay hold much promise for prompt and accurate TB diagnosis in this population. Line-probe, nitrate reductase, and mycobacteriophage assays have also provided rapid alternatives to conventional time-consuming drug susceptibility testing and are critical to curtailing the spread of multidrug-resistant TB.
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http://dx.doi.org/10.1007/s11904-011-0083-7 | DOI Listing |
Transpl Infect Dis
December 2024
Department of Infectious Diseases, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Background: Patients with cancer are at elevated risk for tuberculosis (TB) reactivation. Diagnosis of latent TB infection and TB disease remains challenging in this patient population despite the advent of interferon-γ release assays (IGRA).
Methods: We retrospectively reviewed medical records of all patients with cancer who had IGRA testing (QuantiFERON-TB [QFT-TB] or T-SPOT.
Sci Rep
December 2024
Institute for Systems and Computer Engineering Technology and Science (INESC-TEC), Porto, 4200-465, Portugal.
An automatic system for pathology classification in chest X-ray scans needs more than predictive performance, since providing explanations is deemed essential for fostering end-user trust, improving decision-making, and regulatory compliance. CLARE-XR is a novel methodology that, when presented with an X-ray image, identifies the associated pathologies and provides explanations based on the presentation of similar cases. The diagnosis is achieved using a regression model that maps an image into a 2D latent space containing the reference coordinates of all findings.
View Article and Find Full Text PDFComput Biol Med
December 2024
Shandong Technology and Business University, 191 Binhai Middle Road, Yantai, Shandong, China.
The classification of Doppler ultrasound images plays an important role in the diagnosis of pregnancy. However, it is a challenging problem that suffers from a variable length of these images with a dimension gap between them. In this study, we propose a latent representation weights learning method (LRWL) for pregnancy prediction using Doppler ultrasound images.
View Article and Find Full Text PDFInfect Dis Rep
November 2024
Hospital Juárez de México, Mexico City 07760, Mexico.
Background: The current economic and social crisis in Latin America has caused migration to the USA, bringing with it Public Health challenges due to the importation of various infectious diseases. Migrants, particularly those with chronic conditions, such as HIV infection and other sexually transmitted infections (STI), are at greater risk due to pharmacological interruption and access to medical care, so the timely detection of diseases acquired during their migration, such as malaria, is crucial to avoid health complications.
Objective: To outline by a multidisciplinary approach (Infectology, Parasitology, Epidemiology, molecular Biology, Venereology, and Public Health) the diagnosis and management of a male case with malaria imported to Mexican territory, HIV chronic infection, and latent syphilis.
Ann Clin Epidemiol
October 2024
Center of Medical Statistics, Minato-Ku, Tokyo, Japan.
Background: Large electronic databases have been widely used in recent years; however, they can be susceptible to bias due to incomplete information. To address this, validation studies have been conducted to assess the accuracy of disease diagnoses defined in databases. However, such studies may be constrained by potential misclassification in references and the interdependence between diagnoses from the same data source.
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