Real-world evidence of remdesivir in formerly hospitalized COVID-19 patients: patient-reported and functional outcomes.

Background: Post-COVID condition (PCC) is characterized by persisting symptoms after the resolution of acute COVID-19. Remdesivir (RDV), a broad-spectrum antiviral drug, has been widely used in patients hospitalized with COVID-19 requiring oxygen therapy. We aimed to evaluate the effects of RDV on PCC by assessing patient-reported and functional outcomes.

Long COVID and possible preventive options.

Most of the people who suffered from COVID-19 fully recovered, but approximately 10-20% of them developed a wide variety of symptoms after they recover from their initial illness. Long COVID can develop at any patient; however, several studies suggest that the development of Long Covid syndrome may be linked to severity of acute illness. Some of the risk factors are hospitalization (with mechanical ventilation), Intensive Care Unit admission, age (over 50 years), gender (female) and comorbidities.

Long-term survival benefit of male and multimorbid COVID-19 patients with 5-day remdesivir treatment.

Background: Treatment of the coronavirus disease (COVID-19) is still challenging due to the lack of evidence-based treatment protocols and continuously changing epidemiological situations and vaccinations. Remdesivir (RDV) is among the few antiviral medications with confirmed efficacy for specific patient groups. However, real-world data on long-term outcomes for a short treatment course are scarce.

Growth of marine macroalgae sp. on various textile substrates.

Marine macroalgae are cultivated for diverse applications, from biofuel and biogas to biofiltering, from food to cosmetics or pharmaceuticals. Since macroalgae cultivation does not compete with land-based food crops for the necessary arable land or fresh water, it can increase the possibilities of sustainably harvested biomass. New technologies permit even land-based growing of marine macroalgae, besides the more common coastal or offshore cultivation.

Seeing Things Differently or Seeing Different Things? Exploring Raters' Associations of Noncognitive Attributes.

Background: Raters represent a significant source of unexplained, and often undesired, variance in performance-based assessments. To better understand rater variance, this study investigated how various raters, observing the same performance, perceived relationships amongst different noncognitive attributes measured in performance assessments.

Method: Medical admissions data from a Multiple Mini-Interview (MMI) used at one Canadian medical school were collected and subsequently analyzed using the Many Facet Rasch Model (MFRM) and hierarchical clustering.