PubMed COVID-19 Clinical Care

The CONVINCE study, recently published in the New England Journal of Medicine, reveals a groundbreaking 23% reduction in the relative risk of all-cause mortality among end-stage kidney patients undergoing high convective volume hemodiafiltration

CONCLUSION: This pilot implementation confirms the importance of intervening in cultural identity development in multiethnic classrooms in Italy, although further work is necessary to better understand if nonsignificant findings for exploration were

CONCLUSIONS: Although definite VITT was rare, in 72% no other cause for SVT could be identified following SARS-CoV-2 vaccination. These cases were different from patients with non-vaccine related SVT, with lower incidence of prothrombotic conditions

CONCLUSIONS: Pandemic fatigue was observed after 7 to 10 months from the pandemic emergence even though the high education level of the participants.

[This corrects the article DOI: 10.3389/fmed.2023.1130218.].

CONCLUSIONS: We found the complications of ARDS and DIC and hospital length of stay to be independent predictors of in-hospital mortality in elderly unvaccinated patients with COVID-19. Establishing treatments and prevention methods for ARDS and DIC

CONCLUSION: While confidence in public health guidelines is the most compelling determinant of vaccine acceptance, misinformation continues to undermine vaccination efforts. Addressing common myths about COVID-19 vaccines may help to improve booster

CONCLUSIONS: The current research findings may have an implication that facilitates the development of prospective immunization candidates/small pharmacological compounds targeting COVID-19.

CONCLUSION: Vaccine administration may led to autoimmune manifestation induction as well as autoantibody production. Adjuvant-induced autoimmune/inflammatory syndrome, an abnormal autoimmune response as a result of exposure to an adjuvant such as

The COVID-19 pandemic illustrated many of the challenges with using science to guide planning and policymaking. One such challenge has to do with how to manage, represent and communicate uncertainties in epidemiological models. This is considerably