PubMed COVID-19 Clinical Care

During cellular senescence, persistent growth arrest and changes in protein expression programs are accompanied by a senescence-associated secretory phenotype (SASP). In this study, we detected the upregulation of the SASP-related protein dipeptidyl

CONCLUSION: The CNS is likely not a significant viral reservoir during mild-to-moderate COVID-19 infection, although direct neuroinvasion is not definitively excluded. Additional testing to help elucidate the relative contributions of direct and

RNA-based therapeutics have the potential to revolutionize the treatment and prevention of human diseases. While early research faced setbacks, it established the basis for breakthroughs in RNA-based drug design that culminated in the extraordinarily

The outbreak of COVID-19 reminds people that aerosols have an important impact on health. The concentration and composition of microbial aerosol in livestock and poultry houses are closely related to the environmental conditions of livestock and

People with HIV (PWH) from racial/ethnic minority groups may be particularly vulnerable to the effects of the COVID-19 Pandemic. Exacerbated COVID-19-related stressors may lead to maladaptive coping mechanisms such as increased alcohol use. This

CONCLUSIONS: Prolonged weaning can be used as a milestone in predicting mortality in critically ill COVID-19 patients. Lung involvement greater than 50% on CT and delay from intubation to the first separation attempt from mechanical ventilation were

No abstract

CONCLUSION: The pandemic did not have a significant impact on clinical outcomes in patients admitted for CDI, despite higher hospitalization costs and decreased length of stay.

Background: Swedish recommendations to reduce the risk of COVID-19 relied on each citizen's own sense of responsibility rather than mandatory lockdowns. We studied how COVID-19-related self-isolation and anxiety correlated to SARS-CoV-2

CONCLUSIONS: Although forecast accuracy tends to decline with an increasing forecast horizon, the hybrid NNAR-STLF model is applicable for short-, medium-, and long-term forecasts owing to its ability to fit multiseasonality (captured by the STLF