PubMed COVID-19 Clinical Care

Pneumonia, always a major malady, became the main public health and economic disaster of historical proportions with the COVID-19 pandemic. This study was based on a premise that pathology of lung metabolism in inflammation may have features

CONCLUSIONS: Our data show that ARIs from SARS-CoV-2 cannot be easily differentiated, but were associated with a higher morbidity compared with ARIs from other causes. Overall outcomes were good. The long-term implications of severe SARS-CoV-2

Introduction. As the world was still recovering from the 2020 pandemic, the devastating impact of Covid-19 driven by the Delta variant shook the world in 2021. As the second wave was declining, there was an unusual surge in Covid-19 positive cases by

CONCLUSION: Hence, it is concluded that compound D could be a promising inhibitor against these non-structural proteins. Nevertheless, there is still a need to conduct in vitro and in vivo studies to support our findings.

BACKGROUND: Older adults living in long-term care facilities (LTCF) have been severely affected by COVID-19. Hospice care (HC) facilities and palliative care are essential in treating patients dying from COVID-19. In Italy, little is known about the

CONCLUSIONS: Vaccine acceptance rate was high among kidney transplant recipients. Vaccine hesitancy remains a concern in those with a transplant vintage of less than 5 years and those with tertiary educational level. Healthcare provider advocacy is

No abstract

The oral microbiome has long been considered a measure of overall systemic health. It is often significantly altered in case of chronic inflammation or any other systemic infection. Therefore, a shift in oral microbiota and oral health is bound to be

Background: Moral injury (MI) has become a research and organizational priority as frontline personnel have, both during and in the years preceding the COVID-19 pandemic, raised concerns about repeated expectations to make choices that transgress

Haplotype networks are graphs used to represent evolutionary relationships between a set of taxa and are characterized by intuitiveness in analyzing genealogical relationships of closely related genomes. We here propose a novel algorithm termed McAN