Hepatitis C virus point-of-care microelimination approach in a vulnerable population in the South of Spain.

Background: Since the introduction of direct-acting antivirals, thousands of chronic hepatitis C patients have been successfully treated. However, vulnerable populations have a higher prevalence of hepatitis C virus (HCV) infection and face barriers that impede their access to antivirals. We carried out an HCV microelimination program focused on vulnerable population groups in Malaga.

The influence of the SARS-CoV-2 pandemic on in-hospital mortality in a gastroenterology service.

Introduction: The pandemic caused by SARS-CoV-2 has drastically changed the global health landscape. Our objective was to verify if, after the start of the pandemic, there was an increase in in-hospital mortality in patients admitted to a Gastroenterology Service of a 3rd level hospital.

Material And Methods: The 1039 admissions registered at the Virgen de la Victoria University Hospital in Malaga (Spain) were retrospectively analysed in the period between 1 December 2019 and 30 November 2020 (12 months), which were divided into 4 quarters (pre-wave, first wave, inter-wave and second wave) and mortality and other variables (globally and by disease group) were analysed.

Microbiota diversity in nonalcoholic fatty liver disease and in drug-induced liver injury.

The gut microbiota could play a significant role in the progression of nonalcoholic fatty liver disease (NAFLD); however, its relevance in drug-induced liver injury (DILI) remains unexplored. Since the two hepatic disorders may share damage pathways, we analysed the metagenomic profile of the gut microbiota in NAFLD, with or without significant liver fibrosis, and in DILI, and we identified the main associated bacterial metabolic pathways. In the NAFLD group, we found a decrease in Alistipes, Barnesiella, Eisenbergiella, Flavonifractor, Fusicatenibacter, Gemminger, Intestinimonas, Oscillibacter, Parasutterella, Saccharoferementans and Subdoligranulum abundances compared with those in both the DILI and control groups.

Management of Pharmacologic Adverse Effects in Advanced Liver Disease.

As a consequence of the altered hepatic architecture in advanced liver disease, drug metabolism is modified by changes in pharmacokinetic and pharmacodynamic properties, leading to the appearance of adverse effects and drug interactions and increasing the risk of over- or underdosing of medications. However, there are no tests that accurately determine the degree of impairment of liver metabolic function; therefore, general recommendations are established based on the degree of hepatic extraction, degree of hepatic metabolism, and degree of protein binding. Although the hepatic toxicity of some frequently used drugs, such as acetaminophen, is well known, many health care professionals are unaware or not fully aware of the deleterious effects that other drugs can have on patients with advanced liver injury, as is the case for nonsteroidal anti-inflammatory drugs.

Differential iNKT and T Cells Activation in Non-Alcoholic Fatty Liver Disease and Drug-Induced Liver Injury.

Background: Non-alcoholic fatty liver disease (NAFLD) and idiosyncratic drug-induced liver injury (DILI) could share molecular mechanisms involving the immune system. We aimed to identify activation immunological biomarkers in invariant natural killer T (iNKT) and CD4/CD8+ T cells in NAFLD and DILI.

Methods: We analyzed the activation profile (CD69, CD25, and HLA-DR) and natural killer group 2 member D (NKG2D) on iNKT cells, and CD4/CD8 T cells in peripheral blood mononuclear cells from NAFLD, with or without significant liver fibrosis, and DILI patients.

A Review on Deep Learning Techniques for Video Prediction.

The ability to predict, anticipate and reason about future outcomes is a key component of intelligent decision-making systems. In light of the success of deep learning in computer vision, deep-learning-based video prediction emerged as a promising research direction. Defined as a self-supervised learning task, video prediction represents a suitable framework for representation learning, as it demonstrated potential capabilities for extracting meaningful representations of the underlying patterns in natural videos.

Outbreak of acute hepatitis A in the health area served by the Hospital Universitario Virgen de la Victoria (HUVV): a change in epidemiology.

In 2016, an outbreak of hepatitis A was identified in the Malaga province among patients with specific epidemiological characteristics, which were predominantly males. This is a report of 51 subjects with acute hepatitis A and a mean age of 35.7 years, 90% were male and 55% of cases were men who had had sex with other men within the last two months.

A Quantitative Comparison of Calibration Methods for RGB-D Sensors Using Different Technologies.

RGB-D (Red Green Blue and Depth) sensors are devices that can provide color and depth information from a scene at the same time. Recently, they have been widely used in many solutions due to their commercial growth from the entertainment market to many diverse areas (e.g.

Computational Analysis of Distance Operators for the Iterative Closest Point Algorithm.

The Iterative Closest Point (ICP) algorithm is currently one of the most popular methods for rigid registration so that it has become the standard in the Robotics and Computer Vision communities. Many applications take advantage of it to align 2D/3D surfaces due to its popularity and simplicity. Nevertheless, some of its phases present a high computational cost thus rendering impossible some of its applications.