Machine learning-enhanced prediction of operating room occupation time and length of stay: a retrospective cohort study on emergency surgery care pathways.

Emergency surgeries are resource-intensive procedures with high variability in operating room occupation time (OT) and hospital length of stay (LOS), complicating scheduling and capacity planning. Manual estimates by surgeons are frequently inaccurate, especially in emergency settings. Machine learning models (MLMs) have shown good predictive performance in elective surgery, but their applicability to emergency contexts remains underexplored.

Risk factors for early suspected ventilator-associated pneumonia in severe thoracic blunt trauma patient: A French national cohort study.

Background: Ventilator-associated pneumonia (VAP) is the most common infection in severely injured patients requiring mechanical ventilation. Chest trauma has been identified as a significant risk factor for VAP. This study aimed to describe the risk factors for early VAP in patients with severe blunt thoracic trauma admitted to the intensive care unit (ICU) and receiving mechanical ventilation.

A Delphi process to define medical reporting outcomes for urgent surgical pathways.

Background: As the demand for high-quality healthcare grows, there is a pressing need for comprehensive methods to assess the quality of hospital care. Lack of standardization makes it difficult to compare urgent surgical outcomes across studies. Our group used a modified Delphi methodology to define the outcomes that should be reported or compared when evaluating urgent surgical care.

Infectious complications after traumatic spine injury requiring surgery in a French level-1 trauma center: An observational study.

Background: Traumatic spine injury (TSI) is a prevalent condition that often requires surgical intervention. Two serious infectious complications after surgery are surgical site infections (SSI) and lower respiratory tract infections (LRTI). Yet, studies on SSI and LRTI on trauma patients, particularly with a specific focus on microbiology are lacking.