A risk prediction score to identify patients at low risk for COVID-19 infection.

Introduction: Singapore's enhanced surveillance programme for COVID-19 identifies and isolates hospitalised patients with acute respiratory symptoms to prevent nosocomial spread. We developed risk prediction models to identify patients with low risk for COVID-19 from this cohort of hospitalised patients with acute respiratory symptoms.

Methods: This was a single-centre retrospective observational study.

Efficacy and safety of sofosbuvir/velpatasvir in a real-world chronic hepatitis C genotype 3 cohort.

Background And Aim: Real-world data on sofosbuvir/velpatasvir with and without ribavirin (SOF/VEL ± RBV), particularly among patients with genotype 3 (GT3) decompensated cirrhosis, prior treatment, coinfection, and hepatocellular carcinoma (HCC), are scarce. We aimed to assess the efficacy and safety of SOF/VEL ± RBV in a real-world setting that included both community and incarcerated GT3 hepatitis C virus (HCV) patients.

Methods: We included all GT3 HCV patients treated with SOF/VEL ± RBV in our institution.