Publications by authors named "D L Kitchens"
Article Synopsis
- The study focused on the impact of race and insurance status on high-grade renal trauma (HGRT) among children, analyzing data from a large trauma registry between 2007 and 2020.
- Out of 341 initially identified pediatric patients with HGRT, differences were observed in the mechanism of injury and presentation age based on race, with African American (AA) patients experiencing more penetrating trauma and younger age at presentation.
- Insurance status affected the rates of bowel injuries and blood transfusions, and private insurance patients had higher rates of follow-up care, but neither race nor insurance status impacted overall surgical intervention outcomes, post-injury complications, or mortality rates.
Background: Annually, over 600,000 adults served in US trauma centers (≥20%) develop posttraumatic stress disorder (PTSD) and/or depression in the first year after injury. American College of Surgeons guidelines include screening and addressing mental health recovery in trauma centers. Yet, many trauma centers do not monitor and address mental health recovery, and it is a priority to learn how to implement evidence-informed mental health programs in trauma centers.
View Article and Find Full Text PDFBackground: Hyperkalemia is associated with the rapid transfusion of packed red blood cells in trauma patients. Rapid infusers can infuse blood up to 500 ml/min.
Objective: This study aimed to determine whether infusing packed red blood cells through a rapid infuser impacts the potassium levels of the infused blood.
Background: Rib fractures in elderly patients have been associated with high morbidity and mortality; however, many of these patients had substantial mechanisms of injury, which may have contributed to these high rates.
Objective: The purpose of this study was to determine the morbidity and mortality of elderly patients with isolated rib fractures who fell from standing.
Methods: A single-institution retrospective study was conducted in a Level I trauma center using the trauma registry and a separate elderly fall from standing database.
Determining triage activation levels in geriatric patients who fall (GF), and patients with penetrating wounds can be difficult and inaccurate, resulting in excessive overtriage (OT) and undertriage (UT) rates. We developed trauma activation prediction models using field data to predict with greater accuracy trauma activation level and triage rates consistent with the ACS recommendations. Using data from the 2014 National Trauma Data Bank, we created binary regression equations for each type of injury (GF and penetrating wounds).
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