Hepatitis C virus detection in hospital emergency departments
Abstract
The prevalence of active hepatitis C virus (HCV) infection is higher in hospital emergency departments (EDs) than in the general population. Numerous patients who seek emergency care are unaware that they have detectable viremia, yet they fall outside established ED protocols for HCV screening. Often they belong to groups with difficult access to health care who use the ED as their point of entry to the system. The aim of this consensus paper was to develop an approach to guide ED detection of HCV infection in all Spanish hospitals. Experts from the Spanish Society of Emergency Medicine (SEMES), the Spanish Association for Study of the Liver (AEEH), and the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC) met to establish criteria to guide health care professionals' decisions. The experts' review of the literature and discussion in consensus-building meetings resulted in evidence-based recommendations that consider the following aspects: 1) the population to target for HCV screening in the ED, 2) how to inform patients of the process, 3) how to carry out HCV screening, 4) how to order an HCV test, and 5) additional issues such as bundling HCV with other viral tests for comprehensive diagnosis, recording results in medical records, and implementing ways to retain and follow all patients with positive results. This consensus report provides guidelines and tools to facilitate emergency physicians' work and ensure effective detection of HCV infections and…
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.