PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: These data support the continued value of PC expertise and the need for specialized medical toxicology information to manage the increasing number of more serious exposures. Unintentional and intentional exposures continue to be a

CONCLUSIONS: These results extend previous findings about the impact of several behavioral variables on individuals' mental states and emotions experienced during the COVID-19 pandemic in Italy.

CONCLUSIONS: Self-efficacy can be a very important resource during the struggle of emergency telephone number operators with the successive waves of the COVID-19 pandemic. Operators with a high level of this resource can more effectively cope with

CONCLUSIONS: The results suggest that mental health is predicted by various resources. Hence, strengthening resources seems vital in promoting mental health in times of crisis.

BACKGROUND: Molecular testing is considered the gold standard for the detection of SARS-CoV-2. This study aimed to compare the performance of the P742H SARS-CoV-2 Nucleic Acid Multiplex Detection Kit in salivary samples, with respect to the 732HF

CONCLUSION: Rates of treatment have increased over time but are still largely inconsistent with published care guidelines that advise therapy before medication. Clinicians appear to prioritize psychiatric comorbidity and sleep problems when selecting

CONCLUSIONS: Older people were found to have experienced coronavirus disease 2019 in more severe forms. The inflammatory markers were significantly high in patients with severe disease and were associated with high mortality.

Emergency mechanical ventilators developed during the pandemic were used to meet the high demand in intensive care units to care for COVID-19 patients. An example of such ventilators is Masi, developed in Peru and installed in more than 15 hospitals

Bone microscale differences cannot be readily recognizable to humans from Synchrotron Radiation micro-Computed Tomography (SR-microCT) images. Premises are possible with Deep Learning (DL) imaging analysis. Despite this, more attention to high-level