PubMed COVID-19 Clinical Care

CONCLUSIONS: Updating and responding to the training needs of professionals regarding CVD is essential to guarantee quality care continuity in the care of our patients.

Risk of severe disease and death due to COVID-19 is increased in certain patient demographic groups, including those of advanced age, male sex, and obese body mass index. Investigations of the biological variations that contribute to this risk have

CONCLUSIONS: Most participants have poor knowledge, and their knowledge of COVID-19 vaccination is limited. Participants whose main source of knowledge is the mass media need to intensify their education activities in the mass media. Social media

CONCLUSION: The K-SMART represents the first nationwide, community-based seroepidemiologic survey of COVID-19, confirming that most individuals possess antibodies to SARS-CoV-2 and that a significant number of unreported cases existed. Furthermore

Acute kidney injury is a common complication of COVID-19, frequently fuelled by a complex interplay of factors. These include tubular injury and three primary drivers of cardiocirculatory instability: heart-lung interaction abnormalities, myocardial

CONCLUSIONS: LTCF residents exhibited suboptimal immune responses following primary vaccination. Although older age is significantly associated with a lower humoral immune response, poor performance status and hypoalbuminemia are more strongly

It is known that prenatal women with COVID-19 are more liable to severe disease and poor newborn outcomes. Understanding the effects of this pandemic on prenatal women is still not known. Studies have shown that gravid women are more liable to COVID

No abstract

SARS-CoV-2 patients have been reported to have high rates of secondary Klebsiella pneumoniae infections. Klebsiella pneumoniae is a commensal that is typically found in the respiratory and gastrointestinal tracts. However, it can cause severe disease

This study aims to predict the characteristics of the exercise healthcare industry in the post-pandemic era by comparing the periods before and after the coronavirus disease 2019 outbreak through big data analysis. TEXTOM, the Korean big data