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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.

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.

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.

Surgeons are at high risk of developing long-term Work-Related Musculoskeletal Disorders (WMSDs) due to awkward sustained postures. Passive spine-supporting exoskeletons are a potential intervention to improve posture and reduce fatigue. The NekSpine ® was evaluated by 21 surgeons (15 male) across two hospital sites within a quaternary academic hospital system. Each surgeon performed at least two comparable procedures, one with the exoskeleton and one without. Surgeons completed pre- and postoperative surveys assessing NASA-TLX workload, usability, body-part discomfort, overall fatigue, and workflow disruptions. Eighty-two cases were evaluated (43 exoskeleton cases). Compared with baseline cases, surgeons reported reduced neck and upper back discomfort and lower overall fatigue when using the exoskeleton. The NekSpine ® exoskeleton may reduce spinal discomfort and fatigue during surgery, supporting its potential as an ergonomic intervention for surgeons.

Background Menopause-related symptoms are common but undertreated. Digital tools that support symptom assessment and patient education may improve engagement. Objective To assess whether a previsit digital menopause symptom assessment and education tool increased treatment initiation and patient engagement compared to an educational pamphlet. Design Women aged 45–55 years with upcoming primary care appointments were invited to participate. Those with a total Menopause Rating Scale (MRS) score ≥5 indicating bothersome menopause symptoms were included. Participants were randomized to a digital menopause symptom assessment tool or a digital educational pamphlet and completed a post-visit survey (NCT06919887). Participants Of the 14,726 women invited to participate between May 12, 2025, and December 5, 2025, there were 653 (4.4%) enrolled that met eligibility criteria. Interventions Randomized to an mHealth app called emmii or a standard digital menopause educational pamphlet. Main measures Menopause treatment initiation within 30 days of the clinical visit was assessed by electronic health data. Baseline and post-visit surveys were collected assessing patient experience, engagement, and perceived usefulness. Rates of menopause hormone therapy (HT) prescribing were compared with a reference population of nonparticipants aged 45–55 who had a primary care appointment at Mayo Clinic during the same period and received no study education materials. Key results Of 653 participants enrolled and randomized, 383 completed both the baseline and post-surveys (171 intervention and 212 control). HT initiation among study participants was significantly higher than in the reference population of women (9.3% vs. 4.4%, p &lt; 0.001). There was no difference in HT initiation between the intervention (9.1%) and control groups (9.6%) ( p = 0.83). Initiation rates were 3.8% and 4.5%, respectively ( p = 0.64) for nonhormone therapies. Conclusions Among women with bothersome menopause symptoms, those who underwent previsit symptom screening and received educational materials had higher rates of HT initiation than women who did not participate in the study. These findings suggest that structured menopause education may improve recognition and management of menopause symptoms in routine clinical practice.

ABSTRACT Objective To compare outcomes of phenobarbital‐based versus benzodiazepine‐based pathways for alcohol withdrawal syndrome (AWS) in critically ill adults and evaluate whether pathway design and timing of phenobarbital use affect treatment outcomes. Data Sources A librarian‐led search of MEDLINE, Embase, Cochrane Central, CINAHL, Web of Science, Scopus, ClinicalTrials.gov , and the World Health Organization International Clinical Trials Registry Platform was conducted through July 2024, with updates in December 2024, August 2025, and December 2025. Search concepts included phenobarbital, benzodiazepines, and alcohol withdrawal. Study Selection and Data Extraction Comparative studies of adults admitted or transferred to an intensive care unit (ICU) with AWS and treated with phenobarbital‐based versus benzodiazepine‐based pathways were included. Sixteen nonrandomized studies were included in the qualitative synthesis, and 12 treatment‐oriented studies were included in the primary meta‐analysis. Multiple reviewers independently screened studies, extracted data, and assessed risk of bias using Risk Of Bias In Non‐randomized Studies—of Interventions (ROBINS‐I). Data Synthesis Phenobarbital‐based pathways were not associated with significantly different intubation (11 studies; odds ratio (OR), 0.62; 95% confidence interval (CI), 0.20–1.87; I 2 = 73%) or hospital length of stay (five studies; mean differences [MD], −1.75 days; 95% CI, −5.07 to 1.56; I 2 = 63%) compared with benzodiazepine‐based pathways. ICU length of stay was shorter with phenobarbital‐based pathways (eight studies; MD, −0.60 days; 95% CI, −0.79 to −0.41; I 2 = 0%). In exploratory subgroup analyses, front‐loaded, protocolized phenobarbital‐first pathways were associated with lower intubation and shorter hospital length of stay, but certainty of evidence was very low. Relevance to Patient Care and Clinical Practice This review distinguishes phenobarbital‐first, protocolized ICU pathways from adjunctive or mixed phenobarbital strategies, suggesting that implementation design may influence outcomes. Conclusions Although evidence remains very low certainty, these findings suggest that phenobarbital's role in ICU AWS may be pathway dependent. Front‐loaded, protocolized phenobarbital‐first pathways may be associated with favorable outcomes in exploratory analyses, but these findings should be considered hypothesis‐generating and require confirmation in prospective randomized trials. Trial Registration: CRD42024595819

ABSTRACT Background ACS‐NSQIP began capturing operative approach in 2022. With increased adoption of minimally invasive (MIS) techniques for malignancy, a contemporary review of benchmark outcomes for open, laparoscopic and robotic gastrectomy is warranted. Methods We performed a retrospective cohort study of adults in ACS‐NSQIP (2022–2024) undergoing partial or total gastrectomy (CPT 43631‐4 and 43620‐2) for cancer. Outcomes included operative time, length of stay (LOS), unplanned conversion‐to‐open, and 30‐day morbidity, mortality, and readmission. Multivariable logistic regression evaluated patient and operative factors associated with morbidity. Results Among 1,459 patients (median age 66, 60.4% male), 66.8% underwent partial gastrectomy and 33.2% total gastrectomy. Approaches were 61.2% open, 19.5% laparoscopic, and 19.3% robotic. Thirty‐day mortality (1.8%), major complications (18.2%), and readmissions (10.3%) did not differ by approach. Unplanned conversion‐to‐open occurred in 14.0% of MIS. Robotic had longer median operative time of +1.2 and +1.7 h than laparoscopic and open and median −1 and −2 days shorter LOS respectively ( p < 0.001). Hypoalbuminemia (OR 3.10), CKD ≥ 3 (OR 1.75), and anemia (OR 1.48) were independently associated with major complications ( p < 0.05). Conclusion Operative approach influences operative time and LOS but not short‐term morbidity and mortality. The newly available ACS‐NSQIP operative approach variable enables approach‐specific benchmarks for cancer‐related gastrectomy.

BACKGROUND: Publicly reported 30-day acute myocardial infarction (AMI) mortality rates are widely used to benchmark hospital performance. However, these measures may lack validity when they include deaths among patients with do-not-resuscitate (DNR) orders or those receiving palliative care—groups for whom mortality may be expected and goal-concordant. METHODS: We analyzed the national 100% Medicare Inpatient Standard Analytic File and Medicare Beneficiary Summary file to assess 30-day AMI mortality rates stratified by DNR status (absent, present-on-admission, and postadmission) and palliative care involvement. We then conducted a retrospective chart review of all 30-day AMI mortalities at a single academic medical center (2019–2025), applying Global Registry of Acute Coronary Events and a Palliative Performance Scale scores to identify unpreventable deaths, which we defined as a Global Registry of Acute Coronary Events >190.5 or Palliative Performance Scale ≤40%. Global Registry of Acute Coronary Events is a risk-stratification tool using clinical and laboratory variables whereas the Palliative Performance Scale is a bedside functional status and palliative care assessment quantifying patient’s self-care ability. RESULTS: Across n=467 259 total AMI encounters, mean (SD) age was 75.1 (10.5), and the population was 44% female. Thirty-day mortality was 10.4% (39 112/376 062) among patients without DNRs, 43.1% (26 181/60 719) in those with present-on-admission DNR, and 72.1% (21 984/30 478) in those with postadmission DNR. Among 9.2% (43 090/467 259) of encounters with palliative care, there was a 76.9% mortality rate (33 151/43 090). Hazard ratios for mortality were 5.25 (95% CI, 5.17–5.33) for present-on-admission DNR and 10.73 (95% CI, 10.55–10.91) for postadmission DNR as compared with encounters without DNRs. Among n=24 AMI mortalities at our institution, 71% (17/24) had DNRs, and 33% (8/24) met the unpreventable death criteria. CONCLUSIONS: The validity of 30-day AMI mortality metrics may be undermined by their inclusion of high-acuity, end-of-life patients, which may disincentivize hospitals from delivering appropriate, patient-centered care. Removal of DNR or palliative cases from performance measures should be explored to better identify opportunities for reducing preventable deaths.

Introduction/Objectives The rise in screening for social drivers of health (SDoH) in primary care settings has led to questions about effective intervention design. A large primary care practice at Mayo Clinic developed a model centered on a full-time Health Equity Coordinator (HEC) to facilitate clinic-community partnerships in 2022. The goal of this analysis was to assess the model on process outcomes, resolution of SDoH needs, and changes in healthcare utilization. Methods Using a cohort study design, we identified primary care patients with unmet SDoH needs at the intervention clinic and two comparator clinics from March 2022 to December 2023. We assessed process outcomes descriptively and resolution of SDoH needs and healthcare utilization using multivariable regression. Results The HEC contacted 348 patients and conducted 748 meetings with community-based organization staff. While there were decreases for SDoH needs and missed or late cancelled appointments in intervention group, there were no significant difference in resolution of SDoH and healthcare utilization relative to comparator groups. Conclusions The HEC model for multi-stakeholder coordination showed promise in referring patients to services and engaging key stakeholders in a primary care setting. Longer term follow up may be needed to identify changes in SDoH needs and healthcare utilization.