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Mycosis fungoides and Sézary syndrome - Simplifying the approach for dermatologists. Part 1: Etiopathogenesis, clinical features and evaluation.
Indian J Dermatol Venereol Leprol
January 2025
Department of Nuclear Medicine, Army Hospital Research and Referral, New Delhi, India.
Cutaneous T-cell lymphomas (CTCL) are a heterogeneous group of extranodal non-Hodgkin's lymphomas characterised by a cutaneous infiltration of malignant monoclonal T lymphocytes. While this broad spectrum of disease with its varied etiopathogenesis, clinical features and management options are well characterised, an approach from a dermatologist's perspective is lacking in the literature. We strive to elucidate the approach from a clinician's point of view, especially in respect of clinical examination, investigations, staging and management options that are available in the realm of the dermatologists.
View Article and Find Full Text PDFPersistence of Long COVID Symptoms Two Years After SARS-CoV-2 Infection: A Prospective Longitudinal Cohort Study.
Viruses
December 2024
The Sheba Pandemic Preparedness Research Institute (SPRI), Sheba Medical Center, Tel Hashomer, Ramat Gan 52621, Israel.
Background/objectives: Millions of individuals worldwide continue to experience symptoms following SARS-CoV-2 infection. This study aimed to assess the prevalence and phenotype of multi-system symptoms attributed to Long COVID-including fatigue, pain, cognitive-emotional disturbances, headache, cardiopulmonary issues, and alterations in taste and smell-that have persisted for at least two years after acute infection, which we define as "persistent Long COVID". Additionally, the study aimed to identify clinical features and blood biomarkers associated with persistent Long COVID symptoms.
View Article and Find Full Text PDFA Small-Particle Aerosol Model of Ebolavirus Zaire Infection in Ferrets.
Viruses
November 2024
Viral Immunology Branch, Virology Division, U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA.
The Ebola virus (EBOV) causes severe disease in humans, and animal models are needed to evaluate the efficacy of vaccines and therapeutics. While non-human primate (NHP) and rodent EBOV infection models have been well characterized, there is a growing need for an intermediate model. Here, we provide the first report of a small-particle aerosol (AE) EBOV ferret model and disease progression compared with the intramuscular (IM) EBOV ferret model.
View Article and Find Full Text PDFPost-COVID-19 Vaccination and Long COVID: Insights from Patient-Reported Data.
Vaccines (Basel)
December 2024
Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Introduction: COVID-19 vaccinations reduce the severity and number of symptoms for acute SARS-CoV-2 infections and may reduce the risk of developing Long COVID, also known as post-acute sequelae of SARS-CoV-2 (PASC). Limited and heterogenous data exist on how these vaccinations received after COVID-19 infection might impact the symptoms and trajectory of PASC, once persistent symptoms have developed.
Methods: We investigated the association of post-COVID-19 vaccination with any SARS-CoV-2 vaccine(s) on PASC symptoms in two independent cohorts: a retrospective chart review of self-reported data from patients ( = 128) with PASC seen in the Stanford PASC Clinic between May 2021 and May 2022 and a 2023 multinational survey assessment of individuals with PASC ( = 484).
Improving the Performance of Electrotactile Brain-Computer Interface Using Machine Learning Methods on Multi-Channel Features of Somatosensory Event-Related Potentials.
Sensors (Basel)
December 2024
School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia.
Traditional tactile brain-computer interfaces (BCIs), particularly those based on steady-state somatosensory-evoked potentials, face challenges such as lower accuracy, reduced bit rates, and the need for spatially distant stimulation points. In contrast, using transient electrical stimuli offers a promising alternative for generating tactile BCI control signals: somatosensory event-related potentials (sERPs). This study aimed to optimize the performance of a novel electrotactile BCI by employing advanced feature extraction and machine learning techniques on sERP signals for the classification of users' selective tactile attention.
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