PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: The PBPK models predicted the in vivo pharmacokinetics and the DDIs of BTK inhibitors and ritonavir. The prospective simulations not only provided scientific evidence regarding rational dosing management strategies when initiating

VLPCOV-01 is a lipid nanoparticle-encapsulated self-amplifying RNA (saRNA) vaccine that expresses a membrane-anchored receptor-binding domain (RBD) derived from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein. A phase 1

CONCLUSIONS: Physical exercise-based rehabilitation is a potential therapeutic strategy against long COVID and can be applied as a routine clinical practice in people who have recovered from COVID-19. However, customized physical exercise-based

The relationship between health and migration was severely affected during the covid-19 pandemic. This article discusses the literature on health and migration, including the deteriorating levels of social and economic vulnerability of international

The COVID-19 pandemic has challenged the entire world, and patients with diabetes mellitus (DM) have been particularly affected. We aimed to evaluate predictors of mortality during the first 30 days of hospitalization in critically ill patients with

Global and even national genome surveillance approaches do not provide the resolution necessary for rapid and accurate direct response by local public health authorities. Hence, a regional network of microbiological laboratories in collaboration with

Abstract Background: The purpose of this study was to compare satisfaction with postoperative telemedicine visits versus in-office visits among patients undergoing primary hip arthroscopy. Methods: A prospective cohort study was conducted involving

CONCLUSIONS: Good mental health during centralized quarantine was associated with high scores of psychological resilience, impact of events, coping styles and social support and did not become worse in settings where adequate support was available.

CONCLUSION: Serial LUS is a reliable tool in predicting the risk of respiratory deterioration in patients hospitalised due to COVID-19 pneumonia. LUS could be further implemented in the future for risk stratification of viral pneumonia.