Oxygen Targets for Mechanically Ventilated Adults with Sepsis: Secondary Analysis of the PILOT Trial.

Background: Patients with sepsis frequently require invasive mechanical ventilation. How oxygenation during mechanical ventilation affects clinical outcomes for patients with sepsis remains uncertain.

Research Question: To evaluate the effects of different oxygen saturation targets on clinical outcomes for patients with sepsis receiving mechanical ventilation.

Genetic variants associated with sepsis-associated acute kidney injury.

Background: Kidney dysfunction is a common complication in septic patients. Studies have identified numerous risk factors for sepsis-associated acute kidney injury (S-AKI), yet there is wide variability in the incidence even among patients with similar risk factors, suggesting the presence of additional uncharacterized risk factors, including genetic differences. The expansion of biobanks, advances in genotyping, and standardized diagnostic criteria have enabled large-scale, hypothesis-generating studies into the genetic mechanisms underlying S-AKI.

Machine learning predicts cerebral vasospasm in patients with subarachnoid haemorrhage.

Background: Cerebral vasospasm (CV) is a feared complication which occurs after 20-40% of subarachnoid haemorrhage (SAH). It is standard practice to admit patients with SAH to intensive care for an extended period of resource-intensive monitoring. We used machine learning to predict CV requiring verapamil (CVRV) in the largest and only multi-center study to date.

A Mobile Post Anesthesia Care Unit Order Reminder System Improves Timely Order Entry.

Transition to the postanesthesia care unit (PACU) requires timely order placement by anesthesia providers. Computerized ordering enables automated order reminder systems, but their value is not fully understood. We performed a single-center, retrospective cohort study to estimate the association between automated PACU order reminders and primary outcomes (1) on-time order placement and (2) the degree of delay in placement.