Citations

Background: Several breast cancer (BC) risk prediction models have been developed to provide personal risk assessments. Though individually validated, their performance has not been systematically evaluated across a wide range of populations or ages. Methods: We harmonized individual-level baseline questionnaire data and incident BC diagnoses from 21 cohorts from North America, Europe, and Australia participating in the Breast Cancer Risk Prediction Project. Five-year absolute risk of invasive BC was estimated for five established risk prediction models using classical risk factors only. Discrimination was evaluated by area under the curve (AUC). Calibration was assessed using average and risk-decile specific expected to observed (E/O) ratios. Performance metrics were meta-analyzed across cohorts and models. Metaregression tested associations between cohort characteristics and performance metrics. Results: This analysis included 1,595,977 women aged 20-75 years, enrolled in studies between 1976-2015, with 19,062 (1.2%) invasive BC cases ascertained within 5 years from exposure assessment. Age-adjusted AUCs were similar across models and cohorts (pooled AUCs by model: 0.57-0.58), while E/O ratios varied substantially (pooled E/O ratios by model: 0.83-1.25). Overestimation was common among predicted high-risk individuals (>3%). No appreciable differences in model performance by cohort age, birth year, race, and variable missingness emerged. Calibration improved after assigning race-specific incidence rates. Conclusion: Existing BC risk prediction models provided similar risk discrimination across multiple cohorts, although there was overestimation of risk for high-risk individuals. Performance variation across cohorts was not driven by specific characteristics, which supports development of a unified risk model for diverse populations that leverages appropriate incidence rates.

ABSTRACT Background and Aim Significant health disparities persist in alcohol‐associated liver disease (ALD), largely driven by social determinants of health (SDOH). However, the influence of neighbourhood‐level SDOH on ALD outcomes remains underexplored. In this study, we aimed to evaluate how neighbourhood‐level SDOH are associated with disease burden, comorbid conditions, and mortality in individuals with ALD. Methods We conducted a retrospective cohort study of patients with ALD in the Banner Health System, representing hospitals across Arizona, California, Nevada, Wyoming and Colorado, from January 2012 to October 2024 using ICD codes. Neighbourhood‐level SDOH were quantified using the Social Deprivation Index (SDI). Patients were stratified into quartiles based on SDI score, with Quartile 4 representing the most socioeconomically disadvantaged neighbourhoods. Primary outcomes included incidence of mortality, cirrhosis, major adverse liver outcome (MALO), Type 2 diabetes mellitus, any cancer, and major adverse cardiovascular events (MACE). A multivariable competing risk analysis was performed adjusting for age, sex, race/ethnicity, insurance type, primary language, smoking status, Type 2 diabetes mellitus, hypertension, hyperlipidemia, aspirin use, statin use, alcohol use disorder and a composite mental‐health/substance‐use disorder variable encompassing depression, anxiety disorders, post‐traumatic stress disorder, bipolar disorder, schizophrenia, and non‐alcohol substance use disorders. Results Among 11,394 patients with ALD and available SDI data, 6747 had ≥ 365 days of follow‐up. The average age was 51 years and 65.6% were female; 68.8% were non‐Hispanic White, 19.7% Hispanic, 5.9% Native American/Alaskan Native (NA), 3.2% Black, and 0.4% Asian/Pacific Islanders. Patients residing in the most disadvantaged neighbourhoods (Quartile 4) were significantly younger, more likely to be female, had a higher median BMI, and more frequently reported a non‐English primary language compared with those in the least disadvantaged areas (Quartile 1). Patients in the most deprived neighbourhoods were more likely to be Hispanic, Black, or Native American/Alaska Native and to be uninsured or on Medicaid, whereas those in the least disadvantaged neighbourhoods predominantly had private insurance. Individuals in Quartile 4 had increased mortality (adjusted hazard ratio [aHR]: 1.48, 95% Confidence Interval [CI]: 1.09–2.01) compared with individuals in Quartile 1. Conclusions In this large and demographically diverse ALD cohort, residing in socioeconomically disadvantaged neighbourhoods was associated with increased risk of mortality. These findings support the need for contextually tailored clinical interventions and broader treatment strategies that target upstream sociocultural and environmental factors that are associated with health outcomes. Addressing neighbourhood‐level SDOH through community engagement, policy reform, and cross‐sector partnerships to improve collaborative care efforts is needed to reduce health disparities in ALD.

BACKGROUND AND OBJECTIVES: Medical management options for nontraumatic subdural hematoma (SDH) remain limited, with only atorvastatin demonstrating benefit in a single phase 2 randomized clinical trial and mixed evidence for dexamethasone. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may benefit SDH outcomes. The objective of this study was to evaluate the association between GLP-1 RA use and rescue surgery rates and mortality in patients with medically managed nontraumatic SDH. METHODS: We conducted a retrospective cohort study using the TriNetX database from 2016 to 2025, including adults with SDH who were managed conservatively without surgical evacuation or middle meningeal artery embolization. Patients prescribed GLP-1 RAs were compared with nonusers. After propensity matching, rescue surgical evacuation, all-cause mortality at 1 year, and GLP-1 RA–associated adverse events were analyzed. RESULTS: A total of 134 901 patients with conservatively managed nontraumatic SDH were identified, of whom 1470 (1.1%) were GLP-1 RA users. After propensity score matching, 2922 patients remained, with 1461 in each group. At 1 year, GLP-1 RA users experienced significantly lower rates of rescue surgery (2.23% vs 3.51%; P = .046), culminating in an overall 38% reduction in relative hazard. All-cause mortality was also significantly lower for GLP-1 RA users at 1 year (16.1% vs 23.7%, P < .001), reflecting a 33% reduction in hazards. GLP-1 RA users did not experience different rates of adverse events, such as pancreatitis, gallbladder disease, or ileus/bowel obstruction (all P > .05). CONCLUSION: Among patients with medically managed nontraumatic SDH, GLP-1 RA use was associated with significantly lower rates of rescue surgery and all-cause mortality without significantly increased risk of common GLP-1 RA–related complications.

ABSTRACT Background Chimeric antigen receptor T‐cell (CAR‐T) therapy has revolutionised the treatment of hematologic malignancies, and its use is expanding rapidly into numerous other disease states including autoimmune diseases. However, CAR‐T therapy is associated with a spectrum of immune‐related toxicities. In addition to the already well characterized cytokine release syndrome and immune effector cell‐associated neurotoxicity syndrome, it has become apparent that rarely, CAR‐T can cause gastrointestinal mucosal inflammation, termed immune effector cell‐mediated enterocolitis (IEC‐EC). Aims This state‐of‐the‐art review highlights the CAR‐T mechanism and details the epidemiology, pathophysiology, clinical manifestations, endoscopic and histopathologic features, and management of IEC‐EC. Methods This review presents the current state of knowledge through a comperhensive and detailed synthesis of all case series reported in the literature to date. Results Occurring in up to approximately 6% of patients typically following B cell maturation antigen‐targeted CAR‐T therapy, IEC‐EC presents with severe diarrhoea and malabsorption, responds poorly to treatment, and portends a dire prognosis. Multi‐disciplinary management should centre on early diagnosis, supportive cares, assessment and treatment of infections, and step‐up pharmacotherapy, often featuring biologics and small molecules drawn from the inflammatory bowel disease pharmacologic armamentarium. Conclusions Clinicians should maintain a high degree of vigilance for IEC‐EC in patients presenting with gastrointestinal symptoms following CAR‐T treatment. Early recognition and multi‐disciplinary treatment may improve patient outcomes.

ABSTRACT Background Radiotherapy is a cornerstone of treatment for pediatric central nervous system (CNS) tumors, but dose selection remains uniform despite interpatient variability in tumor radiosensitivity. This is consequential in children, for whom toxicity can have lifelong effects. Genomic-adjusted radiation dose (GARD) integrates tumor genomics with delivered radiation dose to quantify the biological effect of radiotherapy and has been validated across adult malignancies. Its relevance in pediatric CNS tumors is unknown. Methods We performed a cohort study using gene expression and data from 246 pediatric patients with high-grade glioma, medulloblastoma, or ependymoma from the Children’s Brain Tumor Network. GARD was calculated using a sequencing-adapted radiosensitivity index integrated with radiation dose through the linear–quadratic model. Associations of GARD and physical radiation dose with event-free and overall survival were evaluated using Cox proportional hazards models stratified by tumor type and anatomic location. Patients who did not receive radiotherapy comprised a negative control cohort (sham-GARD). Results Among patients receiving radiotherapy, physical dose was uniform, whereas GARD showed substantial interpatient variability in biological effect. Higher GARD was associated with improved event-free survival (hazard ratio [HR] 0·90, 95% CI 0·83–0·97; p=0·004) and overall survival (HR 0·90, 95% CI 0·83–0·99; p=0·018). Physical dose was not associated with either endpoint. Among patients who did not receive radiotherapy, sham-GARD was not associated with outcomes, supporting GARD as a treatment-specific predictor rather than a prognostic biomarker. Conclusions In pediatric CNS tumors, the biological effect of radiotherapy quantified by GARD was associated with outcomes, whereas physical dose was not. These findings challenge uniform radiotherapy dosing and support genomically informed dose individualization. Prospective evaluation of GARD-guided radiotherapy is warranted to optimize tumor control while minimizing long-term toxicity in children.

BACKGROUND: Although diabetes is a known driver of heart failure with preserved ejection fraction, whether antecedent hyperinsulinemia drives preclinical diastolic dysfunction (DD) progression before overt hyperglycemia remains unknown. Therefore, we investigated whether elevated endogenous insulin and insulin resistance independently predict longitudinal DD progression and adverse cardiovascular outcomes. METHODS: In a community-based cohort study, we evaluated 1191 participants from the Olmsted County Heart Function Study (median age, 58.7 [interquartile range, 52.4–66.6 years]) who underwent echocardiography at baseline and after 4 years. Fasting insulin and homeostatic model assessment of insulin resistance were assessed. The primary end point was DD progression. Secondary outcomes (mortality, heart failure) were assessed in 2030 participants followed for a median of 10.97 (95% CI, 10.90–11.05) years for heart failure and a median of 18.1 (95% CI, 18.0–18.2) years for mortality. RESULTS: DD progression occurred in 7.5% of participants. Baseline fasting insulin and homeostatic model assessment of insulin resistance strongly predicted progression ( P <0.001). In multivariable analysis, every 1-SD increase in log-transformed insulin was associated with 65% increased odds of progression (odds ratio, 1.65 [95% CI, 1.33–2.07]; P <0.001), adjusting for age, creatinine, and NT-proBNP (N-terminal pro-B-type natriuretic peptide). Similar results were observed for homeostatic model assessment of insulin resistance (odds ratio, 1.66 [95% CI, 1.34–2.08]; P <0.001). In secondary analyses, elevated insulin independently predicted all-cause (hazard ratio, 1.11 per 1-SD [95% CI, 1.02–1.21]) and cardiovascular mortality (hazard ratio, 1.16 [95% CI, 1.02–1.33]). Homeostatic model assessment of insulin resistance was similarly predictive of all-cause (hazard ratio, 1.11 [95% CI, 1.03–1.20]) and cardiovascular mortality (hazard ratio, 1.16 [95% CI, 1.02–1.32]). CONCLUSIONS: Elevated endogenous insulin and insulin resistance are predictors of progressive DD and long-term mortality, even after accounting for body mass index. Metabolic dysregulation may drive myocardial stiffening before diabetes onset, identifying a potential early therapeutic window for heart failure with preserved ejection fraction prevention.