PubMed COVID-19 Clinical Care

In early 2020, a global pandemic was announced due to the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), known to cause COVID-19. Despite worldwide efforts, there are only limited options regarding antiviral drug

No abstract

We created a concise nurse-driven delirium reduction workflow with the aim of reducing delirium rates and length of stay for hospitalized adults. Our nurse-driven workflow included five evidence-based daytime "sunrise" interventions (patient room

CONCLUSION: Course of COVID-19 vaccine-associated myocarditis in pediatric patients seems to be mild and differs from non-vaccine-associated myocarditis. Due to a considerable number of residual symptoms and diagnostic abnormalities at follow-up

CONCLUSIONS: Our study provides compelling genetic evidence supporting causal relationships between three COVID-19 traits and brain IDPs. This discovery holds promise for enhancing predictions and interventions in brain imaging.

CONCLUSION: While COVID-19 positivity rates have declined, the purpose of this study was to reflect on one element of our hospital system's response to the COVID-19 pandemic. Based on our institutional experience, waiting for COVID-19 test results

CONCLUSIONS: ICU staff were found to be highly favorably positive toward the SNOD role, positive toward DBD, and negative toward DCD. Although we found broadly positive perceptions of the benefits of deceased organ donation, negative attitudes toward

INTRODUCTION: This study examines the digital divide among older adults in Switzerland within the rapidly evolving digital environment. It investigates changes in internet usage among this population, focusing on the proportion of users, frequency

CONCLUSIONS: Although the time from arrival to endoscopy was significantly longer during the pandemic, it did not affect mortality and rebleeding.

Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. AI has been predominantly employed in medicine and healthcare administration. However, in public health, the widespread employment of AI only began