Publications by authors named "Kaily Ewing"

Background: Birthdays provide an opportunity to celebrate; however, they can also be associated with various adverse medical events. This is the first study to examine the association between birthdays and in-hospital trauma team evaluation.

Methods: This retrospective study analyzed trauma registry patients 19-89 years of age, who were evaluated by in-hospital trauma services from 1/1/2011 to 12/31/2021.

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Background: Standardization of trauma centers improves quality of care, yet that comes with financial challenges. The decision to designate a trauma center typically focuses on access, quality of care, and the needs of the local community, but less often considers the financial viability of the trauma center. A level-1 trauma center was relocated in 2017 and this presented an opportunity to compare financial data at two separate locations in the same city.

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Introduction Changing the physical zip code location of an academic trauma center may affect the distribution and surgical volume of its trauma patients. General surgical residency case log requirements may also be affected. This study describes the impact of moving a level I trauma center to a different zip code location, on the hospital and resident trauma case volumes.

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Introduction: Physical stressors are common predisposing factors for takotsubo cardiomyopathy (TTC). However, the role of traumatic injuries in TTC has not been well defined. This study describes the characteristics of TTC in the broad spectrum of traumatic injuries using the information available in the National Trauma Data Bank (NTDB).

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Background: Severe pain and pulmonary complications commonly follow rib fractures, both of which may be improved by surgical stabilization of rib fractures (SSRFs). However, significant postoperative pain still persists which may negatively impact in-hospital outcomes. Combining intercostal nerve cryoablation (INCA) with SSRF may improve those outcomes by further decreasing postoperative pain, opioid consumption, and pulmonary complications.

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Article Synopsis
  • This study explores how predicting trauma patients' need for discharge to a facility can help reduce hospital stays.
  • A multivariate analysis of data from the Oklahoma Trauma Registry identified key factors like age, specific injuries, and existing health conditions that influence discharge decisions.
  • The resulting scoring model demonstrated high predictive values, successfully identifying patients likely to need facility discharge, but further research is needed to improve its accuracy.
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In recent years, the number of shared biomedical ontologies has increased dramatically, resulting in a need for integration of these knowledge sources. Automated solutions to aligning ontologies address this growing need. However, only very recently, solutions for scalability of ontology alignment have begun to emerge.

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