Background: Screening for latent tuberculosis infection (LTBI) using a protocol comprising chest X-ray and tuberculin skin test (TST) interpreted with medical history, Sc1, reduces LTBI reactivation on treatment with anti-tumour necrosis factor-alpha (anti-TNF-α). In the district of Seine-Saint-Denis, France, where tuberculosis (TB) incidence ranges from 30 to >100/100 000 person-years, however, Sc1 might be insensitive as a screening tool. We adopted another protocol, Sc2, comprising Sc1 plus two additional tests: the QuantiFERON(®)-TB Gold In-Tube (QFT-GIT) and chest computed tomography (CT).
Methods: We screened 123 consecutive patients with inflammatory rheumatic diseases (IRDs), candidates for anti-TNF-α treatment, and evaluated the impact of Sc2 vs. Sc1 on the prescription of prophylactic anti-tuberculosis treatment.
Results: Sc2 led to a diagnosis of LTBI in 69 patients vs. 59 when using Sc1: eight were QFT-GIT-positive. Diagnosis was based on CT findings in two patients. QFT-GIT had higher diagnostic accuracy than TST, but no single diagnostic test could detect all patients at high risk for LTBI reactivation (respectively 30.2% and 37.5% of patients positive with only TST or QFT-GIT). CT detected TB sequelae in 3/46 rheumatoid arthritis patients who were negative to all tests.
Conclusions: Testing with both TST and QFT-GIT seems the safest strategy for detecting LTBI in patients with IRD from populations with high incidence of TB. Systematic screening with CT warrants further evaluation.
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http://dx.doi.org/10.5588/ijtld.12.0111 | DOI Listing |
J Orthop Surg Res
January 2025
Department of Hand-Foot Microsurgery, Shenzhen Nanshan People's Hospital, The 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
Background: Steroid-induced osteonecrosis of the femoral head (SIONFH) is a universal hip articular disease and is very hard to perceive at an early stage. The understanding of the pathogenesis of SIONFH is still limited, and the identification of efficient diagnostic biomarkers is insufficient. This research aims to recognize and validate the latent exosome-related molecular signature in SIONFH diagnosis by employing bioinformatics to investigate exosome-related mechanisms in SIONFH.
View Article and Find Full Text PDFJ Assoc Nurses AIDS Care
January 2025
Cho-Hee Shrader, PhD, MPH, is a Postdoctoral Research Scholar and MS Nursing Student, Arizona State University, College of Nursing and Health Innovation, Phoenix, Arizona, USA.
Adolescent girls and young women ages 15-29 years (AGYW) living in Lesotho experience a disproportionate HIV burden. Using a household-based national survey in Lesotho, we conducted a three-step latent class analysis to identify typologies of AGYW most vulnerable to HIV infection. We first classified AGYW into HIV vulnerability groups based on self-reported sexual behaviors, then identified associations between typology and HIV diagnosis.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Michigan Alzheimer's Disease Research Center, Ann Arbor, MI, USA.
Background: Diffusion magnetic resonance imaging (dMRI) permits characterizing differences in white matter microstructure associated with amnestic mild cognitive impairment (aMCI) and Alzheimer's dementia (AD). However, most dMRI measures aggregate signals across multiple axonal fiber populations with varying spatial orientations, which limits the sensitivity and specificity of clinical diagnosis. To overcome this shortcoming, we estimated fiber density (FD) measures, independently from crossing fiber populations, and extracellular cerebral spinal fluid (CSF).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, NY, USA.
Background: Amyloid related imaging abnormalities (ARIA), a group of neuropathological features seen in anti-amyloid immunotherapy patients, arises partly from CAA (Aβ buildup in blood vessels). Squirrel monkeys (SQMs), developing prominent age-related CAA exceeding brain Aβ, offer a unique NHP model for ARIA study. Evaluating edema-related neurobiological defects (ARIA-E) involves preferential use of T-weighted (T-w) and flow-attenuated inversion recovery (FLAIR) MRI while T*-weighted (T*-w) MRI is better suited for investigating iron-related pathology like microbleeds, hemorrhaging, and iron-homing in plaques.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Background: Many proposed clinical decision support systems (CDSS) require multiple disparate data elements as input, which makes implementation difficult, and furthermore have a black-box nature leading to low interpretability. Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is an established modality for the diagnosis of dementia, and a CDSS that uses only an FDG-PET image to produce a reliable and understandable result would ease both of these challenges to clinical application.
Method: A deep variational autoencoder (VAE) was used to extract a latent representation of each image through prior training from FDG-PET brain images (n=2000).
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