Real-World Experience, Effectiveness, and Safety of Direct-Acting Antivirals for the Treatment of Hepatitis C in Oman: A Cross-Sectional, Multicenter Study.

: The advent of direct-acting antiviral (DAA) therapy has revolutionized the treatment landscape of the hepatitis C virus (HCV) infection. This study aimed to provide a comprehensive research study of the real-world effectiveness and safety of DAA treatment, representing the first study conducted in the Omani population. : A cross-sectional study was conducted including 375 HCV patients with different genotypes, treated using different DAA regimens, with or without ribavirin, between January 2012 and December 2020 at the Sultan Qaboos University Hospital and the medical city for military and security services, two tertiary hospitals in Muscat, Oman.

A Machine Learning-Based Mortality Prediction Model for Patients with Chronic Hepatitis C Infection: An Exploratory Study.

Chronic hepatitis C (HCV) infection presents global health challenges with significant morbidity and mortality implications. Successfully treating patients with cirrhosis may lead to mortality rates comparable to the general population. This study aims to utilize machine learning techniques to create predictive mortality models for individuals with chronic HCV infections.

MAFLD criteria are better than MASLD criteria at predicting the risk of chronic kidney disease.

Introduction And Objectives: Fatty liver disease is a multisystem disease. Metabolic dysfunction-associated fatty liver disease (MAFLD) is a more accurate indicator of chronic kidney disease (CKD) than nonalcoholic fatty liver disease (NAFLD). However, the relationship between recently defined metabolic dysfunction-associated steatotic liver disease (MASLD) and CKD is currently unclear.

Association of the Magnitude of Anti-SARS-CoV-2 Vaccine Side Effects with Sex, Allergy History, Chronic Diseases, Medication Intake, and SARS-CoV-2 Infection.

Vaccination provides the best protection against the increasing infections of SARS-CoV-2. The magnitude and type of anti-SARS-CoV-2 vaccine side effects (SEs) depend on parameters that are not fully understood. In this cross-sectional study, the associations between different anti-SARS-CoV-2 vaccine SEs and age, sex, the presence of chronic diseases, medication intake, history of allergies, and infections with SARS-CoV-2 were investigated.