Hospital Evaluates RASS to Improve Sedation Approach
A University of Colorado team evaluated the reliability of the Richmond Agitation-Sedation Scale in mechanically ventilated patients in the intensive ...
Standardizing Neurocritical Care Entrustable Activities in Pediatric Critical Care Medicine Education
A group of critical care, neurology, and education experts used the Delphi process to develop a list of 13 pediatric neurocritical care entrustable pr...
Task Force Establishes Core Skill Set for Adult Critical Care Medicine
A Society of Critical Care Medicine task force developed a core set of essential 541 skills to being an adult critical care specialist.
Machine Learning Predicts Severe Community-Acquired Pneumonia
Community-acquired pneumonia (CAP) is common and a leading cause of death worldwide.
Anticoagulants Lower Blood Clot Risk in Critically Ill Adolescents
Critically ill children with prolonged lengths of stay, central venous catheterization, and concurrent infectious or parainflammatory processes have a...
The Role of Targeted Regionalization for Sepsis Care
The United States has a well-established trauma system that designates each hospital to a tier and sends patients to the appropriate regional hospital...
A Simple Clinical Tool to Assess OHCA Mortality Risk
The risk of death for patients with out-of-hospital cardiac arrest (OHCA) is high. Only about 20% reach the hospital alive. Among those who reach the ...
Machine Learning Successfully Identifies Subphenotypes of Pediatric ARDS
Successfully identifying subphenotypes of pediatric acute respiratory distress syndrome (PARDS) could lead to better, more targeted therapies.
Machine Learning Helps Develop Better ICU Benchmarking Model
Many current length of stay (LOS) models are flawed in capturing why patients stay longer in the intensive care unit (ICU). Knowledge Area: