Publications by authors named "L P Leenen"

Background: Nosocomial pneumonia is common in trauma patients and associated with an adverse prognosis. We recently externally validated and recalibrated an existing formula to predict nosocomial pneumonia risk. Identifying more potential predictors could aid in a more accurate prediction of nosocomial pneumonia risk in level-1 trauma patients.

View Article and Find Full Text PDF

Background: A traumatic diaphragm defect is a rare injury. A missed diaphragm injury may cause serious morbidity and mortality. Detection rate during the first assessment of trauma patients is notoriously low.

View Article and Find Full Text PDF

Objective: In 2016, a selective preventive spinal immobilization protocol for emergency medical service (EMS) nurses was introduced in the Netherlands. This protocol leaves more room for autonomous decision-making in the pre-hospital phase regarding preventive spinal immobilization (PSI), compared to the previous strict protocol. In this study, we explored the experiences and perspectives of EMS nurses on decisionmaking about PSI after the change from a strict to a selective PSI protocol.

View Article and Find Full Text PDF

Introduction: The introduction of wireless sensors will enable military care providers to continuously and remotely assess/monitor vital signs. Prediction models are needed to use such data adequately and aid military care providers in their on-scene decision-making to optimise prehospital triage and improve patient outcomes.

Methods: A prospective cohort comprising data from eight Emergency Medical Services and seven inclusive trauma regions was used to develop and validate prediction models that could aid military care providers in their prehospital triage decisions.

View Article and Find Full Text PDF
Article Synopsis
  • This study aimed to validate a prediction model for early identification of patients at risk for nosocomial pneumonia in US level-1 trauma centers, which could enhance patient survival and reduce healthcare costs.
  • The research analyzed data from over 900,000 trauma patients, focusing on incidents of total nosocomial pneumonia and ventilator-associated pneumonia (VAP) over two time periods.
  • Results showed that the Croce model effectively discriminates patients at risk for pneumonia, suggesting its implementation in clinical practice could improve preventative strategies for those most vulnerable.*
View Article and Find Full Text PDF