Citations

Objective To validate International Bladder Cancer Group (IBCG) definitions of Bacillus Calmette‐Guérin (BCG)‐unresponsive and BCG‐exposed non‐muscle‐invasive bladder cancer (NMIBC) and assess prognostic heterogeneity across various BCG‐failure types. Patients and Methods From a multicentre international cohort of 3806 BCG‐treated patients, 591 who developed high‐grade NMIBC recurrence following BCG between 2003 and 2024 were included. Progression‐free survival (PFS) was the primary endpoint; cancer‐specific (CSM) and overall mortality (OM) were secondary endpoints. Cumulative incidence functions, competing‐risk models and multivariable Cox regression were used. Results Patients with BCG‐unresponsive and BCG‐exposed disease showed similar PFS, CSM, and OM (all P > 0.05). When stratified into five subgroups, prognosis varied: 5‐year progression rates were 29% for BCG‐unresponsive, 32.5% for late relapse (between 6 and 24 months) after adequate BCG, 30% for BCG‐exposed with inadequate BCG (<24 months from induction), 6.2% for BCG‐resistant, and 14% for very late relapse (>24 months since last BCG) ( P < 0.01). In multivariable analysis, BCG‐exposed after inadequate BCG (subdistribution hazard ratio [sHR] 3.42, 95% confidence interval [CI] 1.33–8.84), late relapse (sHR 3.74, 95% CI 1.59–8.78), and BCG‐unresponsive (sHR 2.34, 95% CI 1.00–5.44) were associated with higher progression risks compared to very late relapse. Limitations include retrospective design and treatment heterogeneity. Conclusions Under IBCG definitions, BCG‐unresponsive and BCG‐exposed NMIBC have similarly poor outcomes. A refined classification reveals prognostic heterogeneity, with late relapses after adequate BCG demonstrating outcomes comparable to BCG‐unresponsive, and very late relapses conferring better prognosis.

Background Medication nonadherence has been associated with poor outcomes in transplant recipients yet identifying these behaviors pre-transplant remains challenging. The simplified medication adherence questionnaire (SMAQ) is a brief, reliable instrument to assess medication adherence. The aim of this study was to perform SMAQ testing on thoracic organ candidates and examine correlations between these scores and individual patient factors predicting medication nonadherence. Methods Consenting waitlisted lung, heart, and heart-lung transplant candidates from six thoracic transplant centers were mailed a survey that included demographic information and the Simplified Medication Adherence Questionnaire (SMAQ). Univariate logistic regression analysis was performed to assess association between pre-transplant medication adherence and demographic characteristics, psychosocial factors, and mortality. Results Among 298 participants, 60.7% were medication nonadherent. Nonadherence was associated with some college education (OR: 1.73; CI: 1.06, 2.81), lower positive affect (OR: 0.95; CI: 0.92, 0.99), and higher uncertainty (OR: 1.02; CI: 1.01, 1.04). Higher positivity ratio predicted adherence. Conclusion Identifiable patient-specific characteristics associated with medication nonadherence can be screened for during thoracic transplant evaluation. Interventions aimed at improving these factors during the pre-transplant period may improve clinical post-transplant outcomes, however, larger studies are needed to validate these findings.

ABSTRACT Objective Falls are a leading cause of morbidity and loss of independence in adults. The association between overactive bladder (OAB) and fall risk has not been thoroughly investigated. This study evaluated the association between OAB and fall history in a nationally representative sample of US adults aged 20−69 years. Methods We performed a cross‐sectional analysis of adults aged 20−69 years from the 2021−2023 National Health and Nutrition Examination Survey (NHANES). OAB was classified using a composite symptom severity score that assessed urge urinary incontinence and nocturia. Fall history was assessed by self‐reporting (only in participants aged 20−69 years), where a recent fall was defined as experiencing at least one fall within the past year. Survey multivariable logistic regression was used to estimate adjusted odds ratios (aOR) for the association between fall history and OAB after controlling for sociodemographic and clinical covariates. Results Among 4118 participants, the population‐weighted prevalence of OAB was 19.6% (standard error [SE]: 1.1%), and the prevalence of a recent fall was 28.3% (SE: 1.3%). The prevalence of a recent fall was higher among those with OAB (39.7% [SE: 1.6%] vs. 25.7% [SE: 1.5%]). The prevalence of a recent fall increased progressively with OAB symptom severity (24.3% in those with no symptoms vs. 52.4% in those with severe symptoms). In the fully adjusted model controlling for sociodemographic and clinical covariates, OAB was independently associated with a 42% higher odds of experiencing a recent fall (aOR, 1.42; 95% CI, 1.10 to 1.83; p = 0.01). Conclusion OAB is independently associated with an increased risk of a recent fall in US adults aged 20‐69 years, with a strong positive relationship between OAB severity and fall risk. These findings suggest that screening for OAB may be a useful adjunct to fall risk assessment. Future studies are needed to determine whether OAB management reduces the risk of falls.

Abstract INTRODUCTION Cognitive impairment in hospitalized older adults without delirium is often undiagnosed. We evaluated the diagnostic accuracy and prognostic value of two brief bedside screening tools—the 10‐point Cognitive Screener (10‐CS) and Short Portable Mental Status Questionnaire (SPMSQ). METHODS Multicenter prospective cohort of 2003 patients ≥65 years of age without delirium, admitted to 43 hospitals in five countries of the Creating a Hospital Assessment Network in Geriatrics (CHANGE) Study. Screening was completed within 48 h of admission. Dementia was defined as informant‐based Clinical Dementia Rating ≥1. RESULTS Dementia prevalence was 22%, with 35% undiagnosed. Both tools showed good accuracy for detecting dementia, with the 10‐CS slightly more accurate than SPMSQ (area under the curve [AUC] = 0.87 vs 0.85; p = 0.02). After adjustment, cognitive impairment detected by either tool was associated with increased risk of incident delirium, hospital‐associated disability in self‐care activities, and 90‐day mortality, but not prolonged stay. DISCUSSION Brief bedside screening identified dementia and predicted adverse outcomes, supporting its integration into routine hospital care.

Abstract Background Lumbar puncture is a routinely performed procedure, yet it presents significant challenges in patients with abnormal spinal anatomy, such as severe scoliosis or obesity. Conventional ultrasound-assisted neuraxial techniques, while superior to landmark-based methods, are constrained by two fundamental limitations: inaccurate projection of the probe’s geometric center onto the skin when the probe is tilted or rocked, and the difficulty of consistently replicating the exact probe angle during needle insertion. These limitations contribute to multiple needle passes, prolonged procedure time, and increased patient discomfort and complication risk. To address these issues, we developed a novel angle-free ultrasound-assisted technique designed to eliminate the need for replicating probe angulation during needle insertion. Case presentation: This angle-free approach was utilized for serial lumbar punctures in two patients with spinal muscular atrophy requiring repeated intrathecal nusinersen administration. Both patients presented with extreme anatomical complexity, including high body mass index (30 and 35.1 kg/m²) and severe scoliosis (Cobb angles 90° and 83°). The technique follows a three-step protocol: (1) Preprocedural imaging to select the optimal interlaminar space; (2) Ultrasound-guided postural adjustment until the probe could be held perpendicular to the bed edge and parallel to the floor while maintaining target visualization; (3) Needle insertion along this orthogonal trajectory. All 22 procedures (11 per patient) were completed successfully without persistent neurological complications. Procedural outcomes demonstrated a first-attempt success rate of 81.8% (Case 1) and 100% (Case 2), with first-pass success rates of 45.5% and 54.5%, respectively. Longitudinal analysis across sequential procedures revealed a consistent reduction in both the number of needle passes and needling time, reflecting a favorable learning curve. Conclusions The angle-free ultrasound-assisted neuraxial technique offers a valuable alternative for patients with complex spinal anatomy. By using real-time postural adjustments to achieve a needle trajectory, it enhances procedural precision and eliminates the technical hurdle of replicating probe angulation. The structured "4P" framework (Planning, Positioning, Perpendicular, Parallel) offers a practical guide for clinical adoption. The observed learning curve suggests that clinicians can readily acquire and apply this technique to manage such challenging cases.

Context.— The Goldman criteria are widely used to categorize diagnostic discrepancies in autopsy reports for hospital quality assurance. Despite their adoption, little is known about how consistently they are applied across institutions. Objective.— To evaluate the interrater reliability among academic pathologists applying the Goldman criteria to classify missed diagnoses in autopsy cases. Design.— Thirty autopsy cases from 2 academic hospitals were reviewed by 5 experienced autopsy pathologists. Each reviewer independently assigned Goldman classification scores (class I–IV) to missed diagnoses based on the original 1983 definitions. Consensus was defined as at least 60% agreement (≥3 of 5 raters). Fleiss κ and Gwet AC1 were calculated to assess interrater reliability. Results.— A total of 196 missed diagnoses were identified by at least 1 rater. Only 26% (51 of 196) achieved a consensus Goldman classification, and just 4% (8 of 196) had unanimous classification agreement. Most diagnoses (65%; 127 of 196) were not identified by at least 3 raters. Among consensus classification ratings, 49% (25 of 51) were class IV. Fleiss κ was 0.176 (slight agreement) while Gwet AC1 was 0.390 (fair agreement). Collapsing major (classes I–II) and minor (classes III–IV) categories modestly improved agreement. Conclusions.— Interrater agreement in applying the Goldman criteria is only fair to moderate, suggesting significant subjectivity in their application. As the criteria are used for institutional comparison and quality metrics, efforts to standardize definitions and provide reviewer training are warranted to improve reproducibility and utility.

Purpose To use publicly available injured list (IL) data to 1) describe Major League Baseball injury trends from 2010 to 2024; 2) analyze injury types and body regions affected to report the highest impact injuries; and 3) report the financial implications of time lost due to injury over this 15‐year period. Methods IL data for every Major League Baseball player (pitchers and position players) from the 2010 to 2024 regular seasons were collected using publicly available sources, including player demographics, IL placements, body part injured, and length of each IL stay. Player salaries were compiled to determine the “financial loss” per injury. Results Across 15 seasons, 8078 players were placed on the IL, totaling 478,085 days. The mean IL placements/year was 634, and the annual number increased by an additional 27 injuries/year ( P < .001). Mean total IL days/season was 31,872, and this increased year‐over‐year ( P = .008). Shoulder injuries represented the most IL placements (n = 1555), followed by elbow (n = 1344) and upper leg (n = 769). Elbow injuries averaged the most days missed/IL placement (mean: 93, median: 74) and the greatest total days missed (129,610), followed by shoulder (95,189). Pitchers comprised 55% of IL placements and most commonly injured their shoulder or elbow. Infielders and outfielders accounted for 21% and 16% of IL placements, respectively. A total financial loss of $9,636,753,291 was accumulated over 15 seasons. Financial loss increased season‐to‐season (+$32,309,178/year, P = .002). Elbow injuries accounted for the highest financial loss at $1,932,048,168 ($1,379,049 lost/injury). In 2024, $2,220,432 was lost/elbow injury, $1,110,573/shoulder injury, $1,397,322/any injury, and $952,973,760 total for the season. Conclusions This study observed that the number of players, IL placements, days spent on the IL, and financial loss due to injury increased steadily each year. Pitchers were the most frequently injured players with shoulder and elbow injuries being most common. Over the 15‐season study period, there was a total financial loss of nearly $9.7 billion due to salary paid to injured players, with elbow injuries contributing the highest loss at just under $2 billion. Clinical Relevance Injury trends and financial data from Major League Baseball highlight the growing burden of shoulder and elbow injuries, particularly in pitchers. These findings underscore the need for orthopaedic surgeons to focus on prevention, early intervention, and optimized surgical management of high‐impact injuries to reduce long‐term morbidity and associated financial costs at the elite level.

Abstract AI-powered pathology foundation models provide general-purpose representations of histopathological images by encoding image tiles into numerical embeddings. However, these embeddings are not directly interpretable in biological or clinical terms and must be translated into biologically meaningful features, such as cell-type composition or gene expression, to enable downstream clinical applications. To bridge this gap, we developed STpath, a framework that integrates histopathology image embeddings derived from existing pathology foundation models with matched, spatially resolved transcriptomics data. STpath consists of cancer-specific XGBoost models trained to infer cell-type compositions and gene expression from histopathology image tiles. We evaluated STpath in colorectal and breast cancer datasets and showed that it provides accurate estimates of the composition of major cell types and the expression of a subset of genes, with further performance gains achieved by combining embeddings from multiple foundation models. Finally, we demonstrated that STpath inferred features that can be used in downstream studies to evaluate their associations with clinical outcomes.