PubMed COVID-19 Clinical Care

The failure of COVID-19 vaccines to prevent SARS-CoV-2 infection and transmission, a possibly critical reason was the lack of protective mucosal immunity in the respiratory tract. Here, we evaluated the effects of mucosal and systemic immunity from a

No abstract

CONCLUSIONS: Significant improvement in LV GLS approximately five months after COVID-19 may be due to mild myocardial involvement during or shortly after COVID-19, which seems to recover. There was no correlation between LV GLS and performance

This study analyzes the work situations experienced by professionals in the sanitary fiscalization of medicines at the Brazilian Health Regulatory Agency, during the COVID-19 pandemic. This is a single-case study, qualitative in nature, with an

CONCLUSION: The study found a lower number of influenza cases during the COVID-19 pandemic, with no clear peak during November and December 2020 and 2021.

Blood purification as an adjunctive therapy has been studied for several decades. In this review, we will focus on the most recent studies, particularly on adsorption techniques. These include hemofilters with adsorptive membranes, both endotoxin

Early in the new coronavirus disease (COVID-19) pandemic, scholars and journalists noted partisan differences in behaviors, attitudes, and beliefs. Based on location data from a large sample of smartphones, as well as 13,334 responses to a

CONCLUSION: Outpatient surgery guarantees more patient comfort, safety, and can be performed in a timely manner and with fewer delays, which has influenced patients' decision to have surgery during the COVID-19 pandemic. Level of Evidence V, Cross

CONCLUSION: The application and translation of most existing COVID scores appear unreliable. Guided development and predictor selection would have improved the generalizability of the scores and may enhance pandemic preparedness in the future.

Since the beginning of the COVID-19 pandemic, many different machine learning models have been developed to detect and verify COVID-19 pneumonia based on chest X-ray images. Although promising, binary models have only limited implications for medical