PubMed COVID-19 Clinical Care

CONCLUSIONS: Cannabis-involvement in self-harm ED visits almost doubled over 12 years and may have accelerated after medical cannabis liberalization. While the results cannot determine whether cannabis is increasingly causing self-harm ED visits or

Non-invasive positive pressure ventilation (NPPV) is a widely used method of providing respiratory support in a variety of clinical settings, including emergency departments, general wards, and intensive care units. The relevant research articles on

CONCLUSION: Data suggest a causal link between cytokines (risk factor), lung damage (mediator), and COVID-19 outcomes.

CONCLUSIONS: Public health interventions for different pathogens are maximally effective. While positive rates for ADV, FLUA and FLUB decreased during the COVID-19 pandemic period, positive rates for RSV remained similar. In RSV and FLUA, off-season

CONCLUSIONS: The CFRs of COVID-19 varied across the epidemic periods of different VOCs, and disparities existed among continents. The CFR value reflected combined effects of various factors within a certain context. Caution should be exercised when

Objective: To describe the clinical characteristics of SARS-CoV-2 infected patients with interstitial lung abnormalities (ILA) during the COVID-19 pandemic. Methods: We respectively enrolled ILA patients who had been regularly followed up in Peking

CONCLUSIONS: Based on substantial evidence from clinical trials, Tα1 emerges as a well-tolerated and effective immune modulator. The FDA›s restriction appears unfounded, as Tα1 has shown safety and efficacy beyond the initially specified conditions

CONCLUSIONS: Rates of depression, anxiety, and suicidal thoughts and/or behaviors in young people continued to increase in the post-pandemic period. Many pre-existing disparities between subgroups, especially females, significantly widened

CONCLUSION: Combination therapy of high-dose anakinra and baricitinib may be an adequate treatment option in patients with COVID-19 who had critical disease and has acceptable safety profile.

Currently used lung disease screening tools are expensive in terms of money and time. Therefore, chest radiograph images (CRIs) are employed for prompt and accurate COVID-19 identification. Recently, many researchers have applied Deep learning (DL)