PubMed COVID-19 Clinical Care

No abstract

The aim of this study is to report the clinical features, imaging findings including confocal imaging, corneal nerve fiber analysis, and management outcomes in a series of three cases of varicella zoster virus (VZV) reactivation following one dose of

During the COVID-19 pandemic, the bidirectional relationship between policy and data reliability has been a challenge for researchers of the local municipal health services. Policy decisions on population specific test locations and selective

CONCLUSION: UDCA therapy may be beneficial in reducing COVID-19 infection risk, alleviating symptoms, and shortening the recovery time in patients with chronic liver disease. However, it should be emphasized that the conclusions were based on patient

PURPOSE OF REVIEW: This review aims to summarize the available literature to identify the incidence and risk factors for persistent interstitial lung abnormalities (ILAs) following hospitalization for COVID-19. The current and prospective treatment

It has been reported that the severity and lethality of Covid-19 are associated with coexisting underlying diseases (hypertension, diabetes, etc.) and cardiovascular diseases (coronary artery disease, atrial fibrillation, heart failure, etc.) that

The use of next-generation sequencing technology has enabled phylogenetic studies with hundreds of thousands of taxa. Such large-scale phylogenies have become a critical component in genomic epidemiology in pathogens such as SARS-CoV-2 and influenza

CONCLUSIONS: Patients with pre-existing AID, exposure to IS, or both are more likely to have a life-threatening disease or hospitalization. These patients may thus require tailored monitoring and preventative measures to minimize negative

With the advent of SARS-CoV-2, several studies have shown that there is a higher mortality rate in patients with diabetes and, in some cases, it is one of the side effects of overcoming the disease. However, there is no clinical decision support tool

In this study, we employ a choice experiment to analyze New York City residents' preferences for online grocery shopping at the beginning of the COVID-19 pandemic. We employ a latent class specification to identify three market segments and estimate