PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: The high levels of natural immunity and hybrid immunity should be incorporated into both vaccination policy and prediction models of the impact of subsequent waves of infection in these settings.

CONCLUSIONS: SuPAR levels are significantly elevated in severe COVID-19 illness and maybe useful in predicting mortality. Further studies are needed to determine cut-off points and clarify the association of suPAR levels with disease progression

CONCLUSIONS AND IMPLICATIONS: Vaccine type (ie, mRNA-1273/Spikevax vs BNT162b2/Cominarty), any fourth vaccine dose, and hybrid immunity from recent COVID-19, were protective against infection with the Omicron variant. These data emphasize the

COVID-19 pandemic has seen an unprecedented number of patients presenting with acute respiratory distress syndrome to the intensive care units all over the world. Between August and November 2022, we performed research on PubMed screening all

CONCLUSIONS: The analysed socio-demographic factors, primarily age, gender and place of residence, determined some of the scales concerning patient satisfaction with cancer care during the COVID-19 pandemic. The results of this and other studies of a

BACKGROUND: Antigen lateral flow devices (LFDs) have been widely used to control SARS-CoV-2. We aimed to improve understanding of LFD performance with changes in variant infections, vaccination, viral load, and LFD use, and in the detection of

The viral diseases encouraged scientific community to evaluate the natural antiviral bioactive components rather than protease inhibitors, harmful organic molecules or nucleic acid analogues. For this purpose, medicinal plants have been gaining

RATIONALE: Light-chain deposition disease (LCDD) is a rare condition characterized by the abnormal deposition of monoclonal light chains (LCs) in multiple organs, leading to progressive organ dysfunction. Herein, we report a case of plasma cell

Continuous surveillance of enteroviruses (EVs) in urban domestic sewage can timely reflect the circulation of EVs in the environment and crowds, and play a predictive and early warning role in EV-related diseases. To better understand the long-term