PubMed COVID-19 Clinical Care

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for COVID-19, has caused nearly 7 million deaths worldwide. Severe cases are marked by an aggressive inflammatory response known as hypercytokinemia, contributing

CONCLUSION: Low HDL-C levels were common in children with COVID-19. Children with COVID-19 and low HDL-C were more frequently hospitalised and had higher inflammatory biomarkers of COVID-19 than children with COVID-19 and normal HDL-C levels.

CONCLUSIONS: Our results provide valuable information on the dynamics of immunoglobulins upon SARS-CoV-2 infection or other similar viruses.

In European countries, nearly 10% of all hospital admissions are related to respiratory diseases, mainly chronic life-threatening diseases such as COPD, pulmonary hypertension, IPF or lung cancer. The contribution of blood vessels and angiogenesis to

The diversity of clinical manifestations in COVID-19 has been observed not only among individuals but also among various populations in globally. HLA molecules play a central role in physiology, protective immunity, and deleterious, disease-related

CONCLUSION: COVID-19 vaccines are effective in preventing SARS-CoV-2 infection and related complications in pregnant women.

CONCLUSION: Heterozygosity for gain-of-function IKZF1 variants underlies autoimmunity/inflammatory diseases, IgG4-RD and B-cell malignancies, the onset of which may occur in adulthood. Clinical and immunological data are similar to those for patients

CONCLUSIONS: Our results show a non-negligible circulation of respiratory pathogens in a rural area in Senegal (West Africa) with an underestimated proportion of asymptomatic individuals. This study highlights the fact that the circulation of viruses

CONCLUSION: Throughout the pandemic, sociodemographic characteristics of patients hospitalised with SARS-CoV-2 changed over time, particularly in terms of ethnic diversity, but still disproportionately affected patients from more marginalised regions

CONCLUSIONS: The performances of the models to predict MVC intervention effectiveness for depression, anxiety, and stress are high. These models might be helpful for professionals to advise students early enough on taking the intervention or choose