PubMed COVID-19 Clinical Care

Macromolecules i.e., carbohydrate derivatives are crucial to biochemical and medical research. Herein, we designed and synthesized eight methyl α-D-glucopyranoside (MGP) derivatives (2-8) in good yields following the regioselective direct acylation

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of COVID-19. Though many COVID-19 vaccines have been developed, most of them are delivered via intramuscular injection and thus confer relatively weak mucosal

The COVID-19 pandemic has been associated with various health-related issues among nurses, including mental health problems such as moral injury. This study aimed to evaluate the relationship between moral injury, general health, post-traumatic

CONCLUSION: Inpatient mortality among patients with cirrhosis has increased during the COVID-19 pandemic compared to before COVID-19. Although COVID-19 infection may have had a small direct pathologic effect on the natural history of cirrhotic liver

CONCLUSION: This multi-center study shows COVID-19 pneumonia triage by CAST can be considered at least as valid as that by chest expert radiologists and may be capable for playing as useful a complementary role for management of suspected COVID-19

OBJECTIVE: This study aimed to develop and validate predictive models using electronic health records (EHR) data to determine whether hospitalized COVID-19-positive patients would be admitted to alternative medical care or discharged home.

CONCLUSIONS: Switzerland's hospital pharmacies encountered many challenges related to the COVID-19 crisis and had to find solutions quickly, effectively and safely. The survey highlighted the key role that hospital pharmacies played in many aspects

SARS-CoV-2 has a remarkable ability to respond to and evolve against the selection pressure by host immunity exemplified by the emergence of Omicron lineage. Here, we characterized the functional significance of mutations in Omicron (BA.1 and BA.5)

CONCLUSION: The models could accurately predict the dynamics of Omicron patients' conditions using daily multidimensional variables, revealing important features including comorbidities (e.g., hyperlipidemia), age, disease course, vital signs, D

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