PubMed COVID-19 Clinical Care

No abstract

Postural orthostatic tachycardia syndrome (POTS) is a clinical syndrome of inappropriate increase in heart rate upon standing that has been recently also associated with Coronavirus Disease 2019 (COVID-19) as part of the post-acute sequelae of COVID

INTRODUCTION: The novel coronavirus disease 2019 has thrown light on various heterogeneous afflictions of newly emerging viruses on the human body. Early reports demonstrated direct effect of novel coronavirus on the liver, but subsequently, this did

BACKGROUND: The Taste And Smell To Enhance nutrition (TASTE) trial investigated the effects of smell and taste of milk with tube feeding compared to routine care on the growth of preterm infants. There was no difference between groups in growth

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus that causes an acute respiratory tract infection known as coronavirus disease 2019 (COVID-19). SARS-CoV-2 enters cells by binding the ACE2 receptor and coreceptors

As the world emerges from the COVID-19 pandemic, clinicians and researchers across the world are trying to understand the sequelae in patients recovered from COVID-19 infection. In this article, the authors review post-acute sequelae of SARS-COV-2

CONCLUSION: The Knowledge, attitude, and practice towards COVID-19 infection prevention in pregnant women were low. It is suggested that health education programs and empowerment of communities, especially pregnant women, about COVID-19 continue with

CONCLUSIONS: The introduction of the ESSA significantly improved the ETP of admitted patients. Ongoing refinement of the ESSA admission processes, as well as the lifting of certain COVID-19 restrictions, could show even greater improvements in this

CONCLUSIONS: The primary finding of this study was that nurses experienced and witnessed unbearable suffering while working during the COVID-19 pandemic that was transitionary in nature. Future research should consider the long-term impacts of this

The objective of this study was to develop a novel copula-based time series (CTS) model to forecast COVID-19 cases and trends based on wastewater SARS-CoV-2 viral load and clinical variables. Wastewater samples were collected from wastewater pumping