The Risk of Venous Thromboembolism in Children With Inflammatory Bowel Disease.

Background: Recent studies of children with inflammatory bowel disease (IBD) demonstrate an increased venous thromboembolism (VTE) risk. However, estimates of risk are variable and case numbers are limited. The aim of this study was to provide national estimates of the risk of VTE in children with IBD.

G-Protein-Coupled Receptor-Associated Sorting Protein 1 Overexpression Is Involved in the Progression of Benign Prostatic Hyperplasia, Early-Stage Prostatic Malignant Diseases, and Prostate Cancer.

Prostate cancer (PCa) is a prevalent malignancy, necessitating accurate diagnostic methods to distinguish it from benign conditions such as benign prostatic hyperplasia (BPH). Current diagnostic tools, relying primarily on serum prostate-specific antigen (PSA) levels, lack specificity, leading to an over-diagnosis and unnecessary treatment of patients with benign conditions. This study explores G-protein-coupled receptor-associated sorting protein 1 (GASP-1) as a more sensitive biomarker for PCa detection.

Marine waste derived carbon materials for use as sulfur hosts for Lithium-Sulfur batteries.

Lithium-sulfur batteries are a promising alternative to lithium-ion batteries as they can potentially offer significantly increased capacities and energy densities. The ever-increasing global battery market demonstrates that there will be an ongoing demand for cost effective battery electrode materials. Materials derived from waste products can simultaneously address two of the greatest challenges of today, i.

Repeat operations in patients with anal fistula, a retrospective study across England and Wales.

Aim: This article reports the frequency of repeat operations including waiting times within the National Health Service (NHS) of England and Wales.

Methods: Retrospective study on repeat operations for anal fistula (AF) performed between 1st January 2010 and 31st December 2016. Data were extracted from the national registry of data entered into Hospital Episode Statistics (HES).

Can the application of machine learning to electronic health records guide antibiotic prescribing decisions for suspected urinary tract infection in the Emergency Department?

Urinary tract infections (UTIs) are a major cause of emergency hospital admissions, but it remains challenging to diagnose them reliably. Application of machine learning (ML) to routine patient data could support clinical decision-making. We developed a ML model predicting bacteriuria in the ED and evaluated its performance in key patient groups to determine scope for its future use to improve UTI diagnosis and thus guide antibiotic prescribing decisions in clinical practice.