PubMed COVID-19 Clinical Care

Previous studies on the natural history of long-COVID have been few and selective. Without comparison groups, disease progression cannot be differentiated from symptoms originating from other causes. The Long-COVID in Scotland Study (Long-CISS) is a

CONCLUSIONS: This study shows that seroprevalence of SARS-CoV-2 antibodies among HCW doubled that of the general population and that protection both at the workplace and in the socio-familial field was associated with a lower risk of infection, which

Aim: This study compared exhaled carbon monoxide (CO) levels in patients hospitalized for bacterial and COVID-19-related viral community-acquired pneumonia. Materials & methods: The study included a total of 150 patients: 50 patients hospitalized for

CONCLUSIONS: Visiting restrictions had negative consequences for residents, family members and health care professionals. The sense of abandonment experienced pointed out the lack of strategies able to balance safety and quality of life.

BACKGROUND: COVID-19 and the climate crisis have caused unprecedented disruptions across the world. Climate change has affected the mental health and wellbeing of children and adolescent. Young people with a mental illness and without social support

CONCLUSION: Formation of an "investigation community" through the use of the media of podcasts. This framework has significant potential for use in the teaching of nursing research subjects; satisfaction is high when students report learning not only

COVID-19 vaccines approved by the Food and Drug Administration have been studied mainly in healthy individuals and there is limited information on their immunogenicity in patients with autoimmune diseases. Therefore, the current systematic review and

CONCLUSION: Spontaneous reporting of AEFIs after COVID-19 vaccination was associated with younger age, female sex, moderate to severe AEFIs, comorbidities, history of allergic reactions, and vaccine type. AEFI under-reporting should be considered

CONCLUSIONS: Virtual interviews at our institution did not increase URiM applications to our program from substantial equivalent medical schools. Further research in this area from programs in other states may enhance our understanding of the impact

CONCLUSION: In conclusion, the ACE I/D polymorphism has the potential to predict the severity of COVID-19.