Predictive Pneumonia Care: Harnessing Machine Learning to Foresee Early Ventilator Need

Pneumonia remains a leading critical illness in the ICU, with many patients quickly deteriorating into respiratory failure that requires invasive mechanical ventilation (IMV). Because traditional clinical decisions often... read more

Automated Airway Care: The MICROINHALO Trial on Cuff Pressure and VAP Prevention

The MICROINHALO trial, an international cluster-randomized study across 10 ICUs, investigated whether automated airway management could reduce bacterial tracheal colonization in 250 critically ill intubated patients. The... read more

Wake-Up Call in Neurocritical Care: Propofol Outperforms Combined Sedation for Brain-Injured Patients

Sedation is vital for managing neurocritical care patients with acute brain injuries, yet finding the optimal strategy remains highly debated. This retrospective observational study analyzed 147 adult patients on invasive... read more

Parsing Pneumonia: Dual Definitions of Severe CABP Reveal Overlapping Risks and High Mortality

This study analyzed 67,439 patients diagnosed with severe community-acquired bacterial pneumonia (sCABP)—representing nearly a quarter of all CAPB admissions—to compare two major clinical definitions: ICU-sCABP (51.2%... read more

Hemodynamic and Neurological Presentations of Invasive Meningococcal Disease in Adults

Neurological and hemodynamic presentation of invasive meningococcal disease (IMD) are clinically and prognostically distinct. Recognition of these phenotypes is critical for appropriate management and prediction of outcome. Of... read more

Machine Learning to Predict Extubation Success Using the SBT

Among the predictive models that used MOT, VCD, and the spontaneous breathing trial (SBT) as input variables through five machine learning techniques, decision trees and artificial neural networks demonstrated the best diagnostic... read more