Citations

Aims Periacetabular osteotomy (PAO) is performed in young, opioid-naive patients and is associated with postoperative pain. Optimizing perioperative analgesia while limiting opioid exposure remains a priority. This study evaluated postoperative pain trajectories, hospital length of stay (LOS), and opioid-prescribing patterns associated with an institutional transition from epidural-based to periarticular injection (PAI)-based analgesia after PAO. Secondary aims were to assess the influence of preoperative opioid exposure and compare outcomes between ropivacaine-based and bupivacaine PAI formulations. Methods The study included 724 patients who underwent PAO between January 2010 and December 2022 at a single academic institution, with epidural use replaced by PAI in 2016. Patients were stratified by postoperative analgesia strategy: epidural catheter (n = 333) or PAI (n = 391). Outcomes included daily postoperative pain scores, LOS, discharge opioid prescriptions (morphine milligram equivalents (MMEs)), total opioid exposure, and 30-day refill rates. Statistical comparisons were performed using chi-squared, Fisher’s exact, and Kruskal–Wallis tests. Results Baseline characteristics were similar between groups. Epidural analgesia was associated with lower pain scores during the first 48 hours (last pain postoperative day 0 to 1: mean 2.9 (SD 2.0) vs 4.7 (SD 2.1); p < 0.001), whereas the PAI group had a shorter LOS (mean 2.2 days (SD 1.0) vs 3.4 days (SD 0.9); p < 0.001) and higher pain scores at discharge (mean 4.8 (SD 1.9) vs 4.0 (SD 1.9); p < 0.001). Median discharge opioid prescriptions (313 (IQR 225 to 388) vs 825 (IQR 600 to 1,000) MMEs) and total 30-day opioid exposure (360 (IQR 275 to 575) vs 900 (IQR 638 to 1,100) MMEs) were lower in the PAI group (both p < 0.001), while refill rates were higher (34.0% vs 19.2%; p < 0.001). Within the PAI cohort, ropivacaine-based and bupivacaine injections showed similar pain trajectories and refill rates. Conclusion Epidural analgesia provided superior early postoperative pain control, whereas PAI-based pathways enabled earlier discharge and lower overall opioid prescribing but with higher refill rates. These findings highlight trade-offs in contemporary perioperative pathways and support individualized analgesic strategies after PAO. Cite this article: Bone Jt Open 2026;7(11):1410–1418.

Background: Developing students' ability to transfer physiological principles across contexts remains challenging in physiology education. Comparative framing (CF), in which physiological principles are presented through nonhuman examples, may facilitate transfer by organizing reasoning around variation in environmental challenges and physiological function. However, whether benefits arises from CF itself or engagement with physiologically rich examples remains unclear. Methods: A between-semester controlled design was conducted across undergraduate (n = 99) and graduate (n = 43) exercise physiology courses. Semesters were randomly assigned to CF or human-centered framing (HF), with instructional content and structure held constant. Primary outcomes were parallel, non-identical transfer assessments administered before instruction, immediately afterward, and at delayed follow-up. Secondary outcomes included a content equivalence assessment, a two-tier conceptual reasoning measure, and mental effort ratings. Reflective writing was analyzed using inductive thematic analysis. Results: Both conditions demonstrated comparable content acquisition. Significant Framing x Time interactions were observed for Systems and Adaptive Integration and Translational Application, but not Mechanistic Reasoning. The benefits of CF were concentrated in reasoning tasks requiring context-dependent interpretation and integration of physiological principles and became more pronounced at delayed follow-up. Reflective writing analyses converged with the quantitative findings, with the largest thematic differences observed in adaptive versus pathological reasoning. Conclusion: CF produced more durable physiological reasoning despite comparable content learning, suggesting that its educational value extends beyond engaging students with physiologically rich examples alone. Organizing physiology around context, function, and physiological trade-offs may provide a framework for promoting transfer and context-dependent physiological reasoning.

BACKGROUND. Dementia is a rapidly expanding public health problem with major socio-economic burden. Insulin resistance (IR) is a prevalent but modifiable risk factor for dementia, yet its effects on brain structure, functional connectivity, and metabolism remain incompletely understood. METHODS. Regional brain glucose uptake (PET), volumes (MRI), functional connectivity (fMRI), and cognition (NIH Toolbox) was measured in 72 adults with or without markers of IR. To evaluate reversibility of IR-associated brain deficits, forty older adults with IR were randomized to forty weeks of metformin or placebo, and brain measures were repeated. As a proof-of-concept experiment, we developed a conditional brain-specific insulin receptor knockout mouse and assessed brain mitochondrial function and cognition. RESULTS. In older adults with markers of IR is associated with diminished total and regional brain volumes in areas critical for neuronal connectivity, memory, and learning, including cerebral white matter and the hippocampus. Reduced functional connectivity between brain regions detrimental for cognition was also noted. Further, we demonstrated that ATP production, essential for neuronal connectivity, was diminished in neuron-specific insulin receptor knockout mice accompanied by deficits in hippocampal- and prefrontal-dependent tasks. Forty weeks of metformin improved systemic insulin sensitivity concurrent to preserved brain glucose uptake, volume, and functional connectivity within specific regions central to decision-making and learning. Metformin was also associated with an improved composite measure of processing speed and working memory. CONCLUSION. These findings highlight IR as a key regulator of brain metabolism and support the concept that insulin sensitization can prevent neurobiological deficits in older people with IR.

Abstract Objective In 2024, the US News and World Report (USNWR)'s Best Hospitals began reporting complications following elective outpatient otolaryngology procedures in its ears, nose, and throat (ENT) ranking. However, this methodology has not been clinically adjudicated in a peer‐reviewed domain. We aimed to conduct manual health record adjudication to assess whether the USNWR methodology accurately attributes complications following elective outpatient otolaryngology procedures. Study Design Case‐cohort. Setting A case‐cohort of n = 80 elective, outpatient otolaryngology procedure/complication pairings from January 2019 to October 2023 across four academic medical centers using the 2024 USNWR otolaryngology procedure subgroups and Solventum Ambulatory Potentially Preventable Complications (AM‐PPC) software. Methods We used the AM‐PPC‐defined complication types as our standard of comparison for our clinical adjudication. Using the electronic health record, we adjudicated: (1) Was there agreement (yes/no) on complication type between our clinical adjudication and the Solventum AM‐PPC software? (2) Was the complication clinically related to, or a sequela of, the index otolaryngology procedure (yes/no)? Results The clinical adjudication agreed on complication type in 59/80 (74%) of patients, and 63/80 (79%) were judged to be clinically related to the index otolaryngology procedure. In total, 50/80 (63%) complications were adjudicated to be in agreement on both the complication type and clinical relatedness to the index procedure, while 9/80 (11%) complications did not agree with the complication type nor were clinically related to the index procedure. Conclusion Outpatient complications reported in the USNWR ENT rating lack the specificity to exclude patients whose complications are sequelae of chronic underlying conditions or related to concurrent, non‐otolaryngology procedures.

Environmental conditions experienced early in life have profound consequences for vertebrate health, yet the molecular pathways linking developmental stress to aging and reduced lifespan remain poorly understood. Through a novel highly accurate epigenetic clock, developed from RRBS-based blood DNA methylation profiles, we show that experimental lifespan-reducing early-life stress rapidly accelerates epigenetic age in zebra finch chicks (Taeniopygia guttata). Corticosterone-treated 29-day-old chicks share differentially methylated loci with non-treated aged birds and cluster with 6-month-old birds. The transcriptional repressor ZBTB16 emerges as an epigenetically top age-correlated gene and is strongest affected by corticosterone. Elevated developmental corticosterone causes rapid epigenetic remodelling of metabolic pathways well-established in aging and longevity. Our results demonstrate epigenetic rewiring of the aging trajectory through conserved stress-survival mechanisms immediately following elevated early-life stress exposure.

ABSTRACT Background Evaluating fairness in artificial intelligence (AI) is essential before clinical implementation to prevent unintended harm across diverse patient populations. This study assesses performance differences of an image-based surgical site infection (SSI) detection model across age, gender, geography, race, and skin color. Methods Model development/validation study using retrospective, multicenter data across surgical subspecialties from adults who submitted an image of their incision via the electronic health record within 30 days of their procedure between 2019-2024. Area under receiver operating curve (AUROC) was compared by age (<55 vs. ≥55 years old), gender (male vs. female), geography (Rochester, Minnesota vs. Jacksonville, Florida vs. Scottsdale, Arizona vs. regional Minnesota/Wisconsin areas), race (White/Caucasian vs. non-White/Caucasian), and skin color (Fitpatrick I-III vs. IV-VI and Monk A-E vs. F-J). Results Training data contained 13,702 images from 4,274 patients between 2019-2022 (50.1% ≥55 years old; 63.2% female; 91.6% White/Caucasian; 58.5% Rochester, 17.3% Florida, 10.5% Arizona; 96.3% light skin tone), of which 1,348 images (9.8%) had an SSI. No differences in SSI detection existed for age, gender, race, or skin color (AUROC 0.83-0.87, p>0.09), however geographical differences were significant: lowest AUROC 0.83 (95% CI 0.77-0.88) vs. highest AUROC 0.87 (95% CI 0.84-0.89, p=0.01). Temporal validation using 4,242 images from 1,353 patients between 2022-2023 showed intact fairness across subgroups (ΔAUROC ≤0.06) except geography (ΔAUROC ≤0.16). Conclusions The model behaved fairly across age, gender, race, and skin color, however geographical differences persisted. These findings have practical implications underscoring the importance of evaluating bias in clinical AI before deployment.