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Abstract Objectives This article examines the efficacy of two bioactive dental composites in preventing demineralization while preserving their mechanical and physical properties. Materials and methods The study compares Beautifil Kids and Predicta® Bioactive Bulk-Fill (Predicta) composites with conventional dental composite. Flexural strength and elastic modulus were evaluated using a universal testing machine. A pH-cycling model assessed the composites’ ability to prevent dentin demineralization. Color stability and surface roughness were measured using a spectrophotometer and non-contact profilometer, respectively, before and after pH-cycling, brushing simulation, and thermocycling aging. Results Beautifil Kids exhibited the highest flexural strength and elastic modulus among the materials (p 0.05). Predicta exhibited greater color change after brushing and increased surface roughness after thermocycling aging (p

BACKGROUND: ICU and other patients hospitalized with corona-virus disease 2019 (COVID-19) are more susceptible to secondary infections. Undetected secondary infections tend to have a severe clinical impact, associated with prolonged hospitalization and higher rates of inpatient mortality. OBJECTIVES: Estimate the prevalence of secondary infections, determine the frequency of microbial species detected at different body sites, and measure the association between secondary infections and outcomes among hospitalized COVID-19 patients. DESIGN: Cross-sectional analytical study. SETTING: Tertiary care center in Riyadh PATIENTS AND METHODS: Data were collected through retrospective chart review of hospitalized COVID-19 patients >18 years old from March 2020 until May 2022 at King Saud University Medical City (27 months). Rates of secondary infections among hospitalized COVID-19 patients were described and data on clinical outcomes (intensive care admission, invasive management procedures and mortality) was collected. MAIN OUTCOME MEASURES: Features and rates of infection and mortality. SAMPLE SIZE: 260 RESULTS: In total, 24.2% of the study population had secondary infections. However, only 68.8% of patients had secondary infection testing, from which 35.2% had a confirmed secondary infection. These patients had a significantly higher prevalence of diabetes mellitus (P