PubMed COVID-19 Clinical Care

CONCLUSIONS: Long-term exposure to air pollution had a larger synergistic effect on COVID-19 hospitalisation for males and those with lower individual- and area-level socioeconomic status.

CONCLUSIONS: These results provide support for the role of activated attachment systems in determining support and feedback-seeking behaviour during stress, as well as the role of support and feedback-seeking behaviour in the maintenance and

CONCLUSIONS: This study substantially enriches our comprehension of the physiological ramifications induced by the Omicron variant, with a particular emphasis on the pivotal roles of coagulation and platelet pathways in disease pathogenesis. The

CONCLUSIONS: Patients with PASC have distinct HRQL symptom profiles which were able to differentiate across COVID-19 severity and symptoms. Improvement over 12 months differed by profile. These profiles may be used to better understand the mechanisms

The COVID-19 pandemic led to reductions in non-COVID related healthcare use, but little is known whether this burden is shared equally. This study investigates whether reductions in administered care disproportionately affected certain

CONCLUSION: The number of reintubations was the sole independent risk factor associated with the development of symptomatic laryngeal lesions in patients managed for Covid-19-related ARDS.

No abstract

CONCLUSIONS: This study failed to show a significant improvement in outcomes in critically ill COVID-19 patients vaccinated against SARS-CoV-2. However, the CIs were wide and the mortality point estimates favored patients who received at least one

Background: Ayush (Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homeopathy) system of medicine has been extensively used in India for the prevention and management of coronavirus disease 2019 (COVID-19). The present report is the second update

This article investigates whether higher classification accuracy can always be achieved by utilizing a pre-trained deep learning model as the feature extractor in the Bag-of-Deep-Visual-Words (BoDVW) classification model, as opposed to directly using