PubMed COVID-19 Clinical Care

Assessments of health-related quality of life (HRQOL) are conducted by health systems to improve patient-centered care. Studies have shown that the COVID-19 pandemic poses unique stressors for patients with cancer. This study investigates change in

The safety profile of the Sputnik V vaccine was generally reassuring. Nevertheless, an enhanced risk of new-onset of immune-mediated diseases have been increasingly reported following the adenoviral-based Covid-19 vaccine including inflammatory

University students are in a phase during which they have various experiences typical in the academic environment and face situations that require adaptability and influence value formation. In the abnormal situation of the COVID-19 pandemic

Noise annoyance toward landscaping equipment was one of nine sources evaluated in the Canadian Perspectives on Environmental Noise Survey, completed online by 6647 Canadian adults. At 6.3% (95% confidence interval = 5.8-6.9), landscaping equipment

CONCLUSION: There was a significant reduction in eGFR after AKI due to COVID-19, being associated with age, length of hospital stay, CRP, and need for hemodialysis.

Identifying host genes essential for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has the potential to reveal novel drug targets and further our understanding of Coronavirus Disease 2019 (COVID-19). We previously performed a genome

To investigate the value of the peripheral blood lymphocyte count (LYM) combined with interleukin-6 (IL-6) in predicting disease severity and prognosis in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. This was

CONCLUSIONS: The oral cavity plays an important role in viral infections of the upper respiratory tract: it serves as a portal of entry, a site of replication, and a source of infection by droplets and aerosols. Physical means but also antiviral

We describe the coding-complete genome sequence of a strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) obtained from a patient with symptoms of coronavirus disease 2019 (COVID-19), detected in the Republic of Kazakhstan

CONCLUSIONS: Utilizing AI-assisted quantification of pneumonia burden from chest CT scans offers a more accurate prediction of clinical deterioration in patients with COVID-19 compared to semi-quantitative severity scores, while requiring only a