Louisiana Research Day Program Book 2025

Clinical Research

Clinical Research

Karson Munson 1 ; Justin Nguyen 1 ; Claire Andry 1 ; Naqiya Ujjainwala 1 ; Shivani Sharma 1 ; Ishani Sharma 1 , Jon Tobin 2 ; Matthew Rommen, DO 1 1 VCOM-Louisiana; 2 VCOM-Virginia 36 MONKEY BAR-RELATED INJURIES IN U.S. EMERGENCY DEPARTMENTS: AN EPIDEMIOLOGICAL ANALYSIS OF THE NEISS DATABASE (2013–2022)

Rabab Z. Jafry 1 ; Kaukab I. Jafry, MD, MBBS 2 ; Annum Faisal, CPPS 3 ; Maryam Babar, OMS-I 4 ; Iqbal Ratnani, MD, EdD, FCCP, FCCM 5 1 Aga Khan University; 2 University of Texas Health Science Center; 3 University of North Texas Health Science Center; 4 VCOM-Louisiana; 5 Houston Methodist Hospital, Houston, TX 37 HAND HYGIENE IN ICUS: ARE WE MISSING VITAL GROUPS?

Context: Monkey bars are a popular playground fixture that help children develop motor, cognitive, and social skills, but their use also presents significant injury risks. These injuries, particularly fractures, occur more frequently on monkey bars than other playground equipment, and their design often exceeds recommended safety guidelines, further heightening the risk. This study aims to assess the epidemiology of monkey bar-related injuries using national emergency department data, identifying trends, injury severity, and proposing evidence-based strategies for injury prevention. Objective and/or Hypothesis: The purpose of this study was to provide an updated and comprehensive assessment of the epidemiology of monkey bar-related injuries evaluated in emergency departments across the United States, as captured in a national database between 2013 and 2022. We aim to compare demographic trends of these monkey bar related injuries; identify incidence, frequency and annual trends of monkey bar related fractures, and identify the severity of these injuries (discharge vs admission). Additionally, the study aims to propose evidence-based methods for preventing

such injuries and risk mitigation.

and fall months. The predominant injury type was fractures, accounting for 51.2% (NE: 338,024), followed closely by contusions/abrasions at 9.86 % (NE: 88,876) of injuries. The most frequently affected reported body parts were the lower arm (26.6%, NE: 140,098), wrist, (13.9%, NE: 102,228), and head (12.7%, NE:95,176). Demographic characteristics of the sample population indicated that the 5-9 age group constituted 76.6% of all reported incidents, with a slightly higher proportion of male patients (50.6% males compared to 49.4% female). Regarding patient disposition, 89.2% (NE: 636,595) of patients were treated and released from the emergency department, while the remainder required further assessment and admission. Conclusion(s): The high incidence of monkey bar-related injuries, particularly fractures in children aged 5-9, highlights the need for targeted interventions. Design modifications and evidence-based strategies focused on reducing fracture risk are essential to improving safety and reducing ED burden. Moreover, Continued monitoring of injury trends and outcomes will further refine prevention efforts.

Background: Contamination by caregiver’s hands can contribute to 15% of nosocomial infections in the ICU. Interventions to improve hand hygiene (HH) practices in health care workers (HCWs) can significantly reduce the occurrence of nosocomial infections. Notably, radiographic equipment could also harbor multi-resistant pathogens and can be a potential source of cross infection. Consequently, radiology technicians operating portable CXR machines using the same gloves to touch equipment and patients can be a source of infection transfer. Thus, radiology technicians should be included in implementing interventions to improve HH compliance. We hypothesize that observation of HH compliance in an ICU setting will help identify HCW subsets requiring intervention for improved HH practices.

Methods: The National Electronic Injury Surveillance System (NEISS) database was queried for patients who sustain a monkey bar related injury from 2013-2022. Examined variables included patient age, sex, injury diagnosis, and affected extremity part (upper vs lower), and disposition status. Appropriate sample NEISS weight estimations were applied for statistical analysis and confidence intervals (CI), which are calculated through summation of all statistical weights for all cases of interest in accordance with NEISS complex sampling design. Using sample-weighted national estimates, proportional demographic data of the NEISS sample population was analyzed relative to patient demographics (age, sex, and race) and variable-defined subgroups (e.g., discharge disposition, diagnosis etiology). Results/Anticipated Results: Analysis of NEISS 2013-2022 sample data revealed a total 21,861-related injuries, reflecting a national estimate (NE) of 688,177 injuries (r2=0.57). A bimodal distribution was noted, where average incidence of injuries mostly occurred in summer

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2025 Research Recognition Day