Citations

Introduction: Ureteral stones are a common cause of emergency presentations. Definitive stone removal at the index encounter can reduce delays and repeat interventions. It is unknown whether fellowship-trained endourologists are more likely to perform definitive management than general/other subspecialist urologists. This multicenter retrospective cohort study evaluated the influence of endourology subspecialty training on the choice between upfront definitive stone treatment and initial ureteral decompression at first presentation. Patients managed with medical expulsive therapy alone were not included. Methods: Adults (≥18 years) presenting at 2022 to seven North American academic centers with symptomatic, noninfected, computed tomography-confirmed ureteral stones were included. Patients with infection, sepsis, positive nitrites, or intraoperative pyelonephritis were excluded from the study. Variables included demographics, stone size and location, subspecialty of the on-call urologist, and management type (definitive [ureteroscopy or shockwave lithotripsy] vs deferred [(initial stent]). Multivariate logistic regression was used to identify the predictors of definitive treatment. Results: Among the 395 patients, 190 (48.0%) underwent definitive management and 205 (52.0%) underwent deferred treatment. Distal stones were treated definitively more often than proximal stones were (51.1% vs 36.6%). An endourologist was on call for 150 encounters (38.0%); 64.7% of these patients received definitive treatment, compared with 38.0% under general/other subspecialist urologists. On multivariate analysis, endourologist on-call remained independently associated with definitive management (odds ratio [OR] 3.46, 95% confidence interval [CI] 2.19–5.47, p < 0.0001), as did distal stone location (OR: 2.46, 95% CI: 1.21–5.00, p = 0.013). Severe complications are rare, and none of the patients developed sepsis. Conclusions: Endourologists were more than three times more likely to perform definitive interventions for symptomatic, noninfected ureteral stones at initial presentation. Subspecialty expertise and timely operative access enable safe, efficient, single-stage management.

ABSTRACT Objectives Lasers are integral to contemporary endourologic stone surgery; however, reported institutional practices regarding laser access, personnel requirements, and safety protocols vary. We sought to characterize respondent‐reported laser access models, operational requirements, safety practices, and perceived barriers to care. Materials and Methods A cross‐sectional, web‐based 25‐item survey was distributed between October 2024 and March 2025 through social media, professional organizations, and departmental contacts. The survey assessed practice characteristics, laser access, physician and technician responsibilities, institutional safety requirements, and perceived barriers to care. Responses were self‐reported, collected anonymously, and summarized using descriptive statistics. Results A total of 187 respondents completed the survey; 85.6% identified as endourologists and 61.5% practiced in academic settings. Most respondents reported institution‐owned laser equipment (70.1%), while 9.6% reported contracted equipment and 20.3% combination models. Among respondents addressing contracted equipment availability ( n = 58), 55.2% reported ready access after regular business hours and 46.6% on weekends. Among 182 evaluable responses, 65.4% reported that physicians could operate lasers without a technician present. Fifty‐two respondents perceived that technician availability could affect patient care; among these, 40 reported potential delays in definitive treatment and 33 reported potential multiple or staged procedures. Staff laser safety goggles could be deferred according to 78.4% of evaluable responses, and 18.3% reported a prior institutional laser safety incident. Conclusion This survey identified substantial respondent‐reported variation in laser access, staffing requirements, and safety practices. The findings describe perceived institutional practices and barriers and do not establish effects on treatment delays, workflow efficiency, patient outcomes, or comparative safety. Future studies should directly compare institutional models using objective measures of access, workflow, treatment delays, and safety outcomes.

Purpose: Obesity is a major public health concern, and fat comprises a substantial portion of the orbital volume. We aimed to evaluate the relationship between body mass index (BMI) and orbital fat volume, and to assess whether BMI is associated with radiographic proptosis. Methods: We conducted a cross-sectional study of 99 orbits from patients who underwent orbital CT imaging between January 1 and December 31, 2018. Patients with systemic diseases affecting the orbits were excluded. When applicable, only the healthy orbit was analyzed. Subjects were evenly stratified into normal-weight, overweight, and obese groups by BMI. Using Visage Imaging Software, orbital structure volumes were measured. Orbital fat volume was calculated by subtracting extraocular muscle, globe, and optic nerve volumes from the total orbital volume. Multivariable linear regression, adjusted for age, gender, and race, assessed associations between BMI and orbital measurements. Results: Among individuals with BMI 17 to 25, total orbital volume increased by 1.20 cm 3 and orbital fat volume by 1.05 cm 3 per unit BMI. For BMI >25, both increased at a flatter slope. Obese patients had nearly double the orbital fat volume of normal-weight patients (10.7 vs. 5.4 cm 3 , p < 0.001). Radiographic proptosis trended higher in obese patients by 1.7 mm ( p = 0.114). Males had larger orbital structures and greater mean proptosis than females. Conclusions: Total orbital and fat volumes increased with BMI, particularly in the normal-to-overweight range. These findings support the need to update normative proptosis data and suggest weight loss may aid in managing mild symptomatic proptosis.

The conventional workup for suspected early-stage lung cancer requires multiple visits, anesthetics, and procedures. Single anesthetic event lung cancer surgery integrates shape-sensing robotic bronchoscopy, cone-beam CT, rapid on-site cytologic evaluation (ROSE), endobronchial ultrasound staging, lesion localization, and minimally invasive resection into one operative encounter. In this narrative review, we describe the technical components of this pathway, summarize the supporting literature, and offer expert, institution-based troubleshooting guidance for common intraoperative dilemmas. Reported diagnostic yields for shape-sensing robotic bronchoscopy range from 80 to 96%, with approximately 90% concordance between ROSE and final pathology. Published single-institution series report reductions in time from detection to resection of 15–51 days, cost savings of approximately $3000–$10,000, and perioperative outcomes (length of stay 1.8–3.6 days; complication rates comparable to traditional pathways) similar to staged care. The supporting evidence is retrospective and derived from small, single-institution, high-volume referral cohorts; no prospective comparative trials or long-term survival data yet exist. Single anesthetic event lung cancer surgery is therefore best regarded as an emerging, resource-intensive care pathway for carefully selected patients at experienced centers rather than an established standard of care, pending prospective, multicenter validation.

Purpose To compare lower extremity soft tissue injury and revision surgery rates for patients with anorexia nervosa (AN) and bulimia nervosa (BN) compared with matched controls. Methods This retrospective cohort study used a deidentified claims database. Patients were included if they carried an International Classification of Diseases code for AN or BN. Respective matched cohorts for AN and BN were created using propensity score matching. Primary and revision surgeries for anterior cruciate ligament (ACL) reconstruction, posterior cruciate ligament reconstruction, knee collateral ligament reconstruction, meniscus repair or meniscectomy, and any ankle ligament reconstruction were identified by their CPT codes. Patients over the age of 40 and without a minimum 2‐year follow‐up after primary surgery were excluded. Differences in prevalence and revision rates were analyzed. Results A total of 56,146 patients with AN and 42,630 patients with BN were included in this study with equal numbers in respective matched cohorts. Patients with BN showed an increased risk of ACL injury (relative risk = 1.32, P = .019), medial collateral ligament injury (1.17, 0.04), calcaneofibular sprain (1.92, <0.001), deltoid sprain (1.41, 0.004), and unspecified ankle sprain (1.44, <0.001). Patients with AN showed an increased risk for calcaneofibular sprain (1.25, 0.007), deltoid sprain (1.28, 0.015), and unspecified ankle sprain (1.17, <0.001). Patients with BN were more likely to have revision ACL repair (1.89, 0.02), partial meniscus revision (3.44, <0.001) and any meniscus revision (4.74, <0.001) while patients with AN were more likely to have an ACL revision (2.81, <0.001), partial meniscus (4.37, <0.001), and any meniscus (4.52, <0.001). Conclusions In this study, patients with AN and BN had a significantly increased risk for various knee and ankle injuries and revision surgeries compared with matched controls. Additionally, patients with AN and BN who sustained these injuries were more likely to undergo a revision surgical procedure within the first 5 years of the primary procedure. Level of Evidence Level III, retrospective comparative study.

Background/Objectives: Hospital-at-home (HaH) programs have emerged as an alternative model to brick-and-mortar (BaM) hospital management of acute conditions such as heart failure, pneumonia, pyelonephritis, and chronic obstructive pulmonary disease exacerbation among the others. However, the clinical management of acute pancreatitis in the HaH setting has never been described in the literature. The primary objective of this study was to describe the demographic and clinical characteristics of patients with acute pancreatitis managed in a Mayo Clinic Advanced Care at home (ACH) program. The secondary objective was to describe feasibility and short-term clinical outcomes. Methods: This multistate, multicenter, retrospective descriptive study included 40 unique patients with acute pancreatitis managed at ACH between 13 October 2020 and 1 June 2024. Repeat admissions were excluded from the primary analysis. Results: The most common etiologies were idiopathic (42.5%), gallstone-related (22.5%), and alcohol-related (12.5%). Peripancreatic fluid collections occurred in 17.5%, necrotizing pancreatitis in 10.0%, pleural effusion in 12.5%, and infected pancreatitis in 7.5%. Intravenous antiemetics were administered to 22.5%, intravenous fluids to 62.5%, and intravenous opioids to 7.5%. Median total hospital length of stay was 5.0 days (IQR, 3.0–8.25), including a median of 3.0 days (IQR, 2.0–4.0) in ACH. Four patients (10.0%; exact 95% CI, 2.8–23.7%) were transferred from ACH to BaM care. Seven-day and 30-day readmission rates were 10% (95% CI: 2.8%, 23.7%) and 5% (95%CI: 0.6%, 16.9%), respectively. The 30-day emergency department visit was 0%. Although 30-day mortality was 2.5% (95% CI: 0.0%, 13.2%), in-program mortality was 0%. Conclusions: Among a highly selected group of clinically stable patients meeting the program’s eligibility criteria, management of acute pancreatitis in ACH was feasible and was associated with low observed rates of unplanned escalations and short-term adverse outcomes.

Assessing balance is crucial in neurological rehabilitation, yet while wearable sensors enable real-world monitoring, identifying reliable digital biomarkers remains challenging. This study utilized a high-fidelity instrumented walkway to determine which gait parameters best predict balance impairment, providing robust targets for future wearable applications. We analyzed 49 steady-state gait metrics from 140 individuals with diverse neurological conditions. Using statistical analysis and machine learning, we evaluated these parameters against objective force plate sway scores and clinical fall-history labels. Group analysis identified 16 parameters significantly distinguishing fallers from non-fallers, and a neural network classified fallers with an area under the curve of 0.75. Across all analytical approaches, overall gait variability, e.g., Stride Width S.D. and the Gait Variability Index, emerged as a universal predictor of balance impairment and fall risk. Furthermore, while traditional linear models emphasized spatial postural control, machine learning classification uniquely identified inter-limb asymmetry as a premier driver of fall prediction. These findings indicate that instrumented gait analysis effectively identifies digital biomarkers for balance deficits. Isolating these specific metrics provides a clear blueprint for meaningful metrics required for continuous objective monitoring and future development of personalized, adaptive rehabilitation strategies.

Importance Timely identification of aortic stenosis (AS) is essential for appropriate clinical management, yet screening remains limited by dependence on comprehensive echocardiography and trained imaging personnel. Objective To develop and validate a deep learning algorithm for detection of moderate or greater AS and prospectively evaluate its performance using artificial intelligence (AI)–guided focused cardiac ultrasound (FoCUS) acquired by novice operators. Design, Setting, and Participants This diagnostic study included retrospective algorithm development and validation and prospective evaluation of AI-guided FoCUS across Mayo Clinic sites in the Midwest, Arizona, and Florida. The model was developed using 6753 patients and evaluated in internal validation (n = 852), internal test (n = 844), and validation (n = 1912) cohorts. Performance was assessed on FoCUS acquired by experienced sonographers (n = 602) and prospectively by novice operators (n = 1302). The retrospective model development and validation cohorts comprised studies performed from January 2005 through September 2022. Prospective study was conducted in 2 enrollment periods from June to August 2024 and from June to September 2025. Participants from both periods were combined to comprise the final prospective cohort. Exposure AI-guided FoCUS acquisition and automated deep learning–based assessment for detection of moderate or greater AS. Main Outcomes and Measures Detection of moderate or greater AS. Performance was assessed using area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and positive predictive value. Results The model demonstrated excellent discrimination in the internal test cohort (AUROC, 0.99; 95% CI, 0.98-1.00) and geographically distinct validation cohorts in Arizona (AUROC, 0.99; 95% CI, 0.97-1.00) and Florida (AUROC, 0.99; 95% CI, 0.96-1.00). Among FoCUS examinations acquired by experienced sonographers, sensitivity was 95% (95% CI, 82-99) and specificity was 97% (95% CI, 95-98). In the prospective novice-operator cohort, 1258 of 1302 examinations (96.6%) were suitable for automated analysis. Sensitivity was 93% (95% CI, 82-99) and specificity was 96% (95% CI, 95-97). Expert review of AI-positive and uninterpretable examinations increased the positive predictive value from 49.4% to 91.1%, with sensitivity of 85.4%. Conclusions and Relevance A deep learning algorithm accurately detected moderate or greater AS across validation cohorts in this study. In prospective evaluation, novice operators were able to acquire AI-guided FoCUS examinations that enabled accurate detection of moderate or greater AS. These findings support a scalable strategy that may expand access to AS detection in settings with limited echocardiography resources.