PubMed COVID-19 Clinical Care

CONCLUSIONS: The eHealth system Previct Alcohol allows for high resolution measurements, enabling precise identifications of relapse patterns and follow up on individual and population-based alcohol use disorder treatment. eHealth relapse prediction

CONCLUSIONS AND RELEVANCE: Results of this cohort study suggest that COVID-19 vaccination was safe during pregnancy from the perspective of infant neurodevelopment to 18 months of age. Additional longer-term research should be conducted to

INTRODUCTION: The aims of the study are to: (1) determine the short-term reactogenicity of WHO-approved COVID-19 vaccines (i.e., Pfizer-BioNTech, Moderna, Sinovac, Oxford-AstraZeneca, Johnson and Johnson, Covaxin) amongst lactating women and their

CONCLUSIONS: Telemedicine potentially in combination with in-person care was associated with higher follow-up healthcare utilization rates compared to in-person only PC. Factors contributing to utilization differences between groups need further

Blood vessels show various COVID-19-related conditions including thrombosis and cytokine propagation. Existing in vitro blood vessel models cannot represent the consequent changes in the vascular structure or determine the initial infection site

CONCLUSION: There is a notable absence of research into the gender-related predisposition to infection, necessitating a thorough examination. According to the available literature, a significant portion of individuals affected by the ailment or

No abstract

CONCLUSIONS: Studies with more cases are needed to evaluate the causality between COVID-19 and pneumothorax (PT) and pneumomediastinum (PM). However, it should be kept in mind that PT and PM may lead to this clinic when sudden respiratory distress

CONCLUSION: SARS-CoV-2 infection exhibits a clear effect on the relative proportions of monocyte subsets, the activation status of classical monocytes, and proinflammatory cytokine production that persists during the convalescent phase of disease.

This study aimed to develop a Monte Carlo simulation model to forecast the number of ICU beds needed for COVID-19 patients and the subsequent nursing complexity in a French teaching hospital during the first and second pandemic outbreaks. The model