PubMed COVID-19 Clinical Care

CONCLUSIONS: This study found that adherence to diabetes care was reduced during the pandemic owing to a variety of behavioral reasons and environmental changes (e.g., quarantines and food security). This affected this population's HbA1c levels, BMI

OBJECTIVE: To characterize animal-related injuries in veterinary medical center staff at a veterinary medical center.

CONCLUSIONS: The neurological complications of critically ill children infected with SARS-CoV-2 Omicron in Shenzhen progressed rapidly to ANE and AFCE, with high mortality. High fever (> 40 centigrade), convulsion/disturbance of consciousness, and

Acute kidney injury (AKI) in COVID-19 patients is associated with high mortality and morbidity. Critically ill COVID-19 patients are at twice the risk of in-hospital mortality compared to non-COVID AKI patients. We know little about the cell-specific

Waning immunity and continued virus evolution have limited the durability of protection from symptomatic infection mediated by intramuscularly (IM)-delivered mRNA vaccines against COVID-19 although protection from severe disease remains high. Mucosal

CONCLUSION: SARS-CoV-2 CP candidate donors' age, duration of COVID-19 symptoms and time from infection to donation associate with the collection of CP with high antibody levels. Beyond COVID-19, these data are relevant to inform decisions to optimize

The aim of this study was to retrospectively analyze the clinical efficacy and safety of Qingfei Paidu granules (QFPG) combined with non-drug therapy of traditional Chinese medicine (TCM) in treating patients with asymptomatic coronavirus disease

[This corrects the article DOI: 10.1371/journal.pgph.0002073.].

CONCLUSIONS: To prevent outbreaks and shorten their duration, LTCFs should increase the proportion of registered nurses and single-bed rooms, and control staff infections.

The global pandemic presents a critical threat to humanity, with no effective rapid-response solutions for early-stage virus dissemination. This study aims to create an AI-driven system (AIEB) to fabricate inhalable virus-like nanocatchers (VLNCs)