Publications by authors named "Shi-Wen Lee"
Objective: The ESI algorithm is widely used to triage patients in the emergency room. However, few studies have assessed the reliability of ESI to accurately triage trauma patients. The aim of this study was to compare vital signs, resource utilization, and patient outcomes among trauma patients during the pandemic in 2020 vs.
View Article and Find Full Text PDFBackground: Studies showed preterm children born with very low birth weight (VLBW, <1500 g) are at risk for poorer executive functions (EFs). However, very little research has been reported longitudinally on the development of both cool and hot EFs deficits in preschool to school-age VLBW preterm children with normal early development.
Aims: Present study aimed to investigate the development of cool and hot EFs in VLWB preterm children longitudinally.
Article Synopsis
- Early detection of COVID-19 is crucial for controlling transmission, and consumer wearables like the Oura Ring can help by tracking physiological metrics and gathering user-reported data.
- In a study with over 63,000 participants, a machine learning algorithm successfully predicted COVID-19 onset an average of 2.75 days before testing, achieving a sensitivity of 82% and specificity of 63%.
- The algorithm's accuracy improved when including continuous temperature data, and results showed variations based on age and sex, emphasizing the need for diverse representation in detection technology development.
Demographic and socioeconomic factors can contribute to community spread of COVID-19. The aim of this study is to describe the demographics and socioeconomic factors in relation to geolocation of COVID-19 patients who were discharged from the emergency department (ED) back into the community. This retrospective study was conducted over a 7-week period, at an urban, adult, level 1 trauma center in New York City.
View Article and Find Full Text PDFStudy Objective: The aim of this study is to determine the accuracy of pre-hospital trauma notifications and the effects of inaccurate information on trauma triage.
Methods: This study was conducted at a level-1 trauma center over a two-year period. Data was collected from pre-notification forms on trauma activations that arrived to the emergency department via ambulance.
Background: Trauma triage decisions can be influenced by both knowledge and experience. Consequently, there may be substantial variability in computed tomography (CT) scans desired by emergency medicine physicians, surgical chief residents, and attending trauma surgeons. We quantified this difference and studied the effects of each group's decisions on missed injuries, cost, and radiation exposure.
View Article and Find Full Text PDFPurpose: The frequency of computed tomography (CT) imaging of trauma patients has given rise to an increase in the discovery of incidental findings. The purpose of this study was to evaluate the frequency and documentation of follow-up recommendations of incidental findings during the initial trauma evaluation. Secondarily, trauma patients with and without incidental findings were compared.
View Article and Find Full Text PDFStudy Objective: The aim of this study is to determine if the introduction of a pan-scan protocol during the initial assessment for blunt trauma activations would affect missed injuries, incidental findings, treatment times, radiation exposure, and cost.
Methods: A 6-month prospective study was performed on patients with blunt trauma at a level 1 trauma center. During the last 3 months of the study, a pan-scan protocol was introduced to the trauma assessment.