COVID-19, "Lockdown" and Achilles Tendon Ruptures
Description
No abstract
PubMed COVID-19 Clinical Care
551 - 560 of 7311 results found
Coronary inflammation on chest computed tomography and COVID-19 mortality
Description
CONCLUSION: Coronary inflammation, measured with PCAT on non-triggered HRCT, appeared to be independently associated with higher mortality in patients with severe COVID-19, while the pre-existent coronary atherosclerotic burden was not associated
COVID-19 and antibiotic consumption in the Intensive Care Units of the Polish tertiary hospital
Description
No abstract
COVID-19 pandemic impacted internet use and anxiety among general public during COVID-19 pandemic in Pakistan
Description
CONCLUSION: A significant association of anxiety was found with internet addiction during the coronavirus disease-2019 pandemic.
COVID-19 and Bone Loss: A Review of Risk Factors, Mechanisms, and Future Directions
Description
PURPOSE OF REVIEW: SARS-CoV-2 drove the catastrophic global phenomenon of the COVID-19 pandemic resulting in a multitude of systemic health issues, including bone loss. The purpose of this review is to summarize recent findings related to bone loss
Characteristics of the SARS-CoV-2 omicron HK.3 variant harbouring the FLip substitution
Description
No abstract
Correlation of lymphocyte subsets and inflammatory biomarkers with disease severity in COVID-19 patients
Description
CONCLUSION: Pro-inflammatory markers and cytokine levels increased, while lymphocyte subsets decreased with increasing severity of the disease.
Comparison of 6 aptamer-aptamer pairs on rapid detection of SARS-CoV-2 by lateral flow assay
Description
CONCLUSIONS: Our developed strip assays based on aptamer pairs recognized the target, directly in a 5-6 minutes with naked eye. It was also concluded that aptamer pairs, membrane types, assay buffers and probe concentrations have significant role in
Climatic signatures in the different COVID-19 pandemic waves across both hemispheres
Description
The roles of climate and true seasonal signatures in the epidemiology of emergent pathogens, and that of SARS-CoV-2 in particular, remain poorly understood. With a statistical method designed to detect transitory associations, we show, for COVID-19