PubMed COVID-19 Clinical Care

CONCLUSION: These findings are of relevance for infection risk mitigation and for vaccination strategies amongst pwMS undergoing DMT.

CONCLUSIONS: Our study shows that the current needs of Chinese medical students for digital health education remain unmet. A national initiative on digital health education, is necessary and attention should be paid to digital health equity and

CONCLUSION: We concluded that ACE1 DD genotype can predict the risk of severe form of COVID-19 infection in the absence of known comorbidities as disease severity risk factors. Further studies with larger sample sizes in other populations are still

BACKGROUND: Children with SARS-CoV-2 related Multisystem Inflammatory Syndrome in Children (MIS-C) often present with clinical features that resemble Kawasaki disease (KD). Disease severity in adult COVID-19 is associated to the presence of anti

Imaging pathogens within 3D environment of biological tissues provides spatial information about their localization and interactions with the host. Technological advances in fluorescence microscopy and 3D image analysis now permit visualization and

CONCLUSION: The COVID-19 pandemic had a significant psychological impact on college and university students. Depression, anxiety, and stress were the most commonly reported psychological impacts across studies among higher education students. Hence

Plastic is a pervasive material that has become an indispensable part of our daily lives and is used in various commercial products. However, plastic waste has significantly impacted the environment, accumulating in water and land ecosystems and

SARS-CoV-2 remains one of the biggest global health problems, which has already reached our wastewater through fecal shedding by COVID-19 patients. While the development of vaccines has mitigated the threats of the COVID-19 pandemic, the evolutionary

CONCLUSION: Patients with COVID-19 may have transient low T3 syndrome at admission, and this may be useful for predicting critical illness.

CONCLUSIONS: A novel admission ECG score (AD-ECG) based on ECG parameters (the QTc and Tpe intervals, and the Tpe/QT and Tpe/QTc ratios) and pulse pressure has similar sensitivity and specificity as the APACHE II score for predicting non-cardiac ICU