PubMed COVID-19 Clinical Care

CONCLUSIONS: Increased methylation of the IFITM1 gene in the severe and critical stage of COVID-19 diseases may indicate the role of SARS-CoV-2 infection in increasing methylation of this antiviral gene. This might be involved in suppressing the

CONCLUSION: Conclusions: Changes in coagulation homeostasis characteristic of hypocoagulation syndrome have been established in patients with LC. COVID-19 infection in patients with LC leads to hypercoagulation, especially in patients with

Prolonged use of personal protective equipment can cause pressure injuries on the skin. The current study was conducted with the aim of investigating the effect of ChitoHeal gel on the nasal site on the prevention of N 95 masks that caused pressure

CONCLUSIONS: This overview presents one of the first pictures of the long-term effects of the pandemic on the mental health and professional quality of life of an Italian sample of HCWs. Moreover, it also helps identify professionals who are most in

Recently published researches show that 59% of all transmission came from asymptomatic transmission and at the time of diagnosis health-care workers (HCWs) tend to present without respiratory symptoms. These evidences have raised questions on whether

In this paper, I reflect on some of the ethical dimensions of public engagement with geographic research. The paper draws on my recent experience of a project entitled 'Not working from home', which sought to make visible the everyday experiences of

No abstract

The Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) virus spread the novel CoronaVirus -19 (nCoV-19) pandemic, resulting in millions of fatalities globally. Recent research demonstrated that the Protein-Protein Interaction (PPI) between

CONCLUSIONS: Among patients with a positive ELISA-Spike test, women, smokers and people drinking more than 2 drinks a day were more likely to develop taste or smell disorders. This symptom was strongly associated with an antibody response. The

CONCLUSIONS: The proposed algorithm can predict the exacerbation of severity three days in advance in patients with mild COVID-19. This prediction can help effectively manage the reallocation of appropriate medical resources in clinical settings