PubMed COVID-19 Clinical Care

No abstract

CONCLUSION: Measuring social vulnerability with the identified indicators is valuable for addressing high COVID-19 incidence among socially vulnerable hotspot areas. Regarding the result of this study, further research should be conducted to validate

CONCLUSION: PE is a common complication of Covid 19 infection. PE is associated with a variety of clinical and laboratory parameters in univariate analysis, but age > 65, BMI > 25, DM, and associated co-morbidities were the independent patients'

The experimental structural features of chalcogen bonding (ChB) interactions in over 34,000 linear fragments R-Ch⋯A (Ch = S, Se, Te; R = C, N, O, S, Se, Te; A = N, O, S, Se, Te, F, Cl, Br, I) were analyzed. The bond distances d(R-Ch) and the

Despite the effectiveness and safety of COVID-19 vaccines, vaccine-induced responses decline over time; thus, booster vaccines have been approved globally. In addition, interest in natural compounds capable of improving host immunity has increased

Over the last three years, after the outbreak of the COVID-19 pandemic, an unprecedented number of novel diagnostic tests have been developed. Assays to evaluate the immune response to SARS-CoV-2 have been widely considered as part of the control

CONCLUSIONS: Laboratory studies have identified multiple mechanisms by which bacteria can develop tolerance or resistance to QACs and antibiotics. De novo development of tolerance or resistance in real-world settings is uncommon. Increased attention

CONCLUSIONS: The Framework reveals the intersectionality of root causes and consequences of financial strain and poor financial wellbeing, while also reinforcing the need for tailored actions to promote socioeconomic and health equity for all people

We studied the prevalence and patterns of typical long COVID complaints in ~ 2.3 million individuals aged 18-70 years with and without confirmed COVID-19 in a Nation-wide population-based prospective cohort study in Norway. Our main outcome measures

CONCLUSIONS: We developed the first machine-learning tool for differentiating between mild and severe inhalation injury, and the absence/presence of inhalation injury in patients with burns, which is helpful when bronchoscopy is not available