Comparison of 2-Bag Method With Serial Bag Method for Treatment of Pediatric Diabetic Ketoacidosis.

Background: There have been 2 primary methods of intravenous fluid administration for diabetic ketoacidosis (DKA) treatment described in the literature: the serial bag method and the 2-bag method.

Objectives: This study will assess the clinical outcomes and workflow efficiency after a transition in practice from the serial fluid method to the 2-bag method for pediatric DKA.

Methods: This was a retrospective chart review of pediatric DKA patients 18 years or younger, 1 year before and after the transition was conducted.

Retrospective review of the development and implementation of a bedside tunneled dialysis catheter program.

Background: The decision to place a subcutaneously tunneled catheter is an infection prevention strategy for long term venous access allowing the proceduralist to access a vein and relocate the catheter exit site to a region on the body where care and maintenance can be safely performed. Subcutaneously tunneled centrally inserted dialysis catheter (ST-CIDC) placement is commonly performed in patients with renal disease and is traditionally performed with fluoroscopy in the interventional radiology suite or the operating theater. However, today's interventional radiologists and surgeons perform advanced invasive procedures that can be time-consuming resulting in delays in the scheduling of elective tunneled catheter placements.

Apixaban Use in Patients with Kidney Impairment: A Review of Pharmacokinetic, Interventional, and Observational Study Data.

Chronic kidney disease (CKD) remains a significant global health issue and is a leading cause of mortality worldwide. Patients with CKD have an increased risk of developing atrial fibrillation (AF) and venous thromboembolism (VTE). While direct oral anticoagulants (DOACs) have become a standard of care for anticoagulation (AC) in patients with AF and VTE, the appropriate use of these agents in comorbid kidney impairment warrants detailed discussion.

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.

Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Public access to the training methodology for these solutions remains absent.