Using State Data to Predict a Single Institution Mortality for Patients That Fall.

Background: Falls are the most common cause of injury-related death for patients older than 45.  We hypothesized that a machine learning algorithm developed from state-level registry data could make accurate outcome predictions at a level 1 trauma hospital.

Methods: Data for all patients admitted for fall injury during 2009 - 2019 in the state of Pennsylvania were derived from the state trauma registry.

Contemporary management of traumatic cervical and thoracic esophageal perforation: The results of an Eastern Association for the Surgery of Trauma multi-institutional study.

Background: Traumatic esophageal perforation is rare and associated with significant morbidity and mortality. There is substantial variability in diagnosis and treatment. Esophageal stents have been increasingly used for nontraumatic perforation; however, stenting for traumatic perforation is not yet standard of care.

One elevated bladder pressure measurement may not be enough to diagnose abdominal compartment syndrome.

Bladder pressure measurements (BPMs) are considered a key component in the diagnosis of abdominal compartment syndrome (ACS). The purpose of this observational review was to determine risk factors of ACS and associated mortality with particular focus on the role of BPM. A retrospective trauma registry and chart review was performed on trauma patients from January 2003 through December 2010.

Repeat computed tomography for trauma patients undergoing transfer to a Level I trauma center.

Our goal was to determine the characteristics of trauma transfer patients with repeat imaging. A retrospective trauma registry review was performed to evaluate trauma patients who were transferred from referring institutions between January 2005 and December 2009. Patients were divided into those who had a duplicate computed tomography (CT) scan versus those who did not.