PubMed COVID-19 Clinical Care

CONCLUSIONS: The results suggest that mental health is predicted by various resources. Hence, strengthening resources seems vital in promoting mental health in times of crisis.

Like pneumonia, coronavirus disease 2019 (COVID-19) is characterized by a massive infiltration of innate immune cells (such as polymorphonuclear leukocytes) into the airways and alveolar spaces. These cells release proteases that may degrade

CONCLUSIONS: In conclusion, in patients hospitalized with STEMI, COVID-19 infection was associated with increased mortality, LOS, and cost but during the pandemic year of 2020 there was a small trend for increased mortality for patients with a

The internet and related media play key roles in education, work, and leisure. It could be argued that people have better interpersonal interactions because of social media, which could reduce loneliness. But documented internet use patterns suggest

CONCLUSIONS: This study explored the levels of psychological and social adaptation of families of persons with disabilities in the time of COVID-19. The spread of the virus created a crisis in different counties and millions of people were infected

CONCLUSIONS: Select stressors were linked to increased drinking through greater mental distress, with differential risks across Black versus White students. Findings suggest campus administrators should focus on connecting students with resources (e

CONCLUSION: Rates of treatment have increased over time but are still largely inconsistent with published care guidelines that advise therapy before medication. Clinicians appear to prioritize psychiatric comorbidity and sleep problems when selecting

CONCLUSION: After adjusting for differences in baseline variables, the combined virtual mode of care was not associated with higher rate of large for gestational age neonates or other adverse perinatal outcomes in women with gestational diabetes

Bone microscale differences cannot be readily recognizable to humans from Synchrotron Radiation micro-Computed Tomography (SR-microCT) images. Premises are possible with Deep Learning (DL) imaging analysis. Despite this, more attention to high-level

The COVID-19 pandemic was accompanied by an unprecedented surveillance effort. The resulting data were and will continue to be critical for surveillance and control of SARS-CoV-2. However, some genomic surveillance methods experienced challenges as