Deep learning model to predict the need for mechanical ventilation using chest X-ray images in hospitalised patients with COVID-19.

Objectives: There exists a wide gap in the availability of mechanical ventilator devices and their acute need in the context of the COVID-19 pandemic. An initial triaging method that accurately identifies the need for mechanical ventilation in hospitalised patients with COVID-19 is needed. We aimed to investigate if a potentially deteriorating clinical course in hospitalised patients with COVID-19 can be detected using all X-ray images taken during hospitalisation.

Parental health literacy and progression of chronic kidney disease in children.

Background: Limited health literacy has been associated with adverse outcomes in children. We evaluated this association in the setting of chronic kidney disease (CKD).

Methods: We assessed the parental health literacy of 367 children enrolled in the Chronic Kidney Disease in Children (CKiD) Study, using the Short Test of Functional Health Literacy (STOFHLA).

Liraglutide in the management of type 2 diabetes.

The pathophysiology of type 2 diabetes has been attributed to the classic triad of decreased insulin secretion, increased insulin resistance, and elevated hepatic glucose production. Research has shown additional mechanisms, including incretin deficiency or resistance in the gastrointestinal tract. Liraglutide is a modified form of human glucagon-like peptide-1.