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Spring 2025 Bonner Leader Scholars Assessment Report
(2025-06-04) Hahn, Thomas
This report details the results of the end-of-year questionnaire to Bonner Leader Scholars for AY 2024-2025. The Bonner Scholars Program is a service-based scholarship program. Scholars support a variety of community organizations and pursue their interest in social issues such as food insecurity, community development, education, and sustainability. Scholars participate in trainings aimed to develop them personally and professionally, leadership opportunities through facilitating campus-wide service events, and opportunities through the Bonner Foundation to travel and engage with like-minded students. This report is an indirect assessment, based on a confidential questionnaire administered to the students in April 2025. It captures students’ perceptions of their knowledge and skills, as well as their satisfaction with various program components. Additionally, students had the opportunity to respond to open-ended questions and offer their suggestions for program improvement.
EP243 Outcomes and complications of neurectomy versus decompression for surgical treatment of meralgia paresthetica: a systematic review
(Oxford University Press, 2025-12-22) Finerty, Joshua; Garden, Allison; Everhart, Joshua; Orthopaedic Surgery, School of Medicine
Background and Objective:
Meralgia paresthetica (MP) results from lateral femoral cutaneous nerve compression, leading to thigh pain and numbness. This review aims to compare surgical outcomes and complications of neurectomy versus decompression.
Materials and Methods:
We systematically reviewed 23 studies, assessing 818 surgical cases (neurectomy: 213, decompression: 605). Outcomes and complications were compared using patient-reported outcomes and Methodological Index for Non-Randomized Studies.
Results:
Neurectomy yielded a higher positive outcome rate (92.0%) compared to decompression (82.8%) and fewer wound complications (0.5% versus 4.0%).
Conclusion:
Neurectomy offers more reliable symptom relief with fewer wound complications than decompression for MP.
Level of Evidence:
Level III systematic review
Communication and Learning Improvement Model for Bedside Skills (CLIMBS): An AI-Based Feedback Model for the Objective Standardized Clinical Examination
(2025-07-25) Hobson, Liam; Lutz, Chandler; Rodgers, David
Background: The Objective Standardized Clinical Examination (OSCE) is a tool designed to assess and provide feedback to healthcare students; however, feedback quality is a common point of frustration for students. Common concerns with post-OSCE feedback include that it is generally not timely, comprehensive, and/or individualized. In this retrospective, quasi-experimental pilot study, we created and implemented an artificial intelligence (AI) feedback model and assessed its ability to provide accurate and reliable OSCE feedback.
Methods: Using ChatGPT-4o, we developed the Communication and Learning Improvement Model for Bedside Skills (CLIMBS) to reference a 16-metric OSCE rubric and provide feedback on OSCE transcripts derived from a custom workflow. Using a single, full-marks OSCE recording, we assessed CLIMBS by calculating transcription and feedback accuracy and examining feedback reliability against an artificially-generated ‘Poor Performance’ transcript and a manually corrected transcript.
Results: The CLIMBS workflow exhibited 92.39% transcript accuracy and good inter-rater reliability (cosine similarity = 0.972 +/- 0.015; ICC2 = 0.744 (95% CI: [0.59, 0.88]). Overall OSCE scores assigned by CLIMBS to the unedited transcript (93.84; 95% CI [91.53, 96.17]) and the manually corrected transcript (87.69, 95% CI [81.37, 94.02]) were statistically different from the ‘Poor Performance’ transcript (78.08; 95% CI [71.59, 84.57]). The metric-based score pattern distribution of the manual transcript was similar to both the unedited and the ‘Poor Performance’ transcripts (cosine similarity = 0.890 and 0.819, respectively), while the unedited and ‘Poor Performance’ transcripts exhibited low overlap with each other (cosine similarity = 0.566).
Conclusion: This pilot study demonstrated that an AI model can analyze and provide accurate summative feedback to OSCE recordings – differentiating good from poor performance. The accuracy and reliability of formative feedback require further study. With future testing to improve inter-rater reliability and examine formative feedback, CLIMBS has potential to improve the timeliness, comprehensiveness, and personalization of OSCE feedback.
EP112 Lateral Femoral Cutaneous Neurectomy with Nerve End Implantation for Meralgia Paresthetica: A Technique Guide
(Oxford University Press, 2025-12-22) Finerty, Joshua; Garden, Allison; Padgett, Anthony; Cantu, Nicholas; Everhart, Joshua; Orthopaedic Surgery, School of Medicine
Meralgia paresthetica (MP) is an uncommon but painful neuropathy causing anterolateral thigh pain. Compression or injury of the lateral femoral cutaneous nerve (LFCN) leads to pain and/or numbness in its distribution throughout the thigh. Historically, surgical decompression of the LFCN just below the inguinal ligament was most commonly utilized for first line surgical management, but recently, fully transecting the LFCN is becoming increasingly popular as more favorable outcomes are reported. This Technical Note describes our surgical approach to neurectomy and nerve end implantation for the treatment of MP.
Comparison of cytokine responses to group B Streptococcus infection in a human maternal-fetal interface organ-on-a-chip system and ex vivo culture model of human gestational membranes
(American Society for Microbiology, 2025) Kirk, Leslie A.; Richards, Hannah A.; Olivares-Villagómez, Danyvid; Locke, Andrea; Flores, Anthony R.; Manning, Shannon D.; Aronoff, David M.; Osteen, Kevin G.; Cliffel, David E.; Eastman, Alison J.; Gaddy, Jennifer A.; Medicine, School of Medicine
Adverse pregnancy outcomes represent a global health burden. Bacterial infection and subsequent inflammation in gestational membranes lead to immunological and physiological changes that contribute to adverse pregnancy outcomes. Although animal models of infection during pregnancy are useful to interrogate tissue and cellular level changes in host responses, these models also have numerous drawbacks, including cost, complexity, and ethical considerations. The advent of organ-on-a-chip models provides cutting-edge new approaches to model host-pathogen interactions in multicellular organ and tissue environments. In this work, we employ an organ-on-a-chip model of the maternal-fetal interface as a tool to study immunological responses to infection with the perinatal pathogen, Group B Streptococcus (GBS). Furthermore, we validate the organ-on-a-chip assays using an ex vivo culture model of primary human gestational membranes. GBS infection leads to enhanced production of EGF, FGF-2, G-CSF, GRO-α, IL-6, IL-8, MCP-1, MIP-1α, TNF-β, IL-10, IL-17F in gestational membranes and both the maternal and fetal chambers of the organ-on-a-chip model. Additionally, GBS infection is associated with enhanced TNF-α, RANTES, IL-12p70, IP-10, MIG, FLT3L, GM-CSF, IL-1β, IL-2, PDGF-AB/BB, and IL-17E/IL-25 cytokine production in gestational membranes and the maternal compartment of the organ-on-a-chip model. Gestational membranes challenged with GBS produce IL-15, IL-27, M-CSF, MCP-3, MDC, and MIP-1β, a result that was not seen in the organ-on-a-chip model. GBS infection leads to enhanced production of eotaxin, IFN-γ, IL-1α, IL-4, IL-12p40, IL-13, and SCD40L in the maternal and fetal chambers of the organ-on-a-chip model, but not the gestational membranes ex vivo. Together, these results indicate that GBS infection induces comparable production of a repertoire of cytokines and chemokines in both models, with some salient differences, underscoring the utility of these complementary approaches to study immunological responses to infection at the maternal-fetal interface.