Citations

PURPOSE For patients with breast cancer undergoing breast conservation, escalating the dose (boost) of radiation to the lumpectomy cavity after whole-breast irradiation (WBI) reduces ipsilateral breast recurrence (IBR) but extends treatment duration. This phase III trial investigated whether boost delivery during WBI versus after WBI provides noninferior IBR and preserves cosmetic appearance. METHODS NRG/RTOG 1005 randomly assigned patients at higher risk for IBR after lumpectomy and axillary surgery to either a sequential boost of 12 Gy in six fractions(F) or 14 Gy in 7F after WBI of 50 Gy in 25F or 42.7 Gy in 16F (sequential arm) or a concurrent boost of 8 Gy in 15F of 0.53 Gy per day with WBI of 40 Gy in 15F (concurrent arm) using 3-dimensional conformal radiation therapy (RT) or intensity-modulated RT. Based on 1.59% 5-year IBR for the sequential arm, defining the noninferiority margin as a hazard ratio upper limit on the 90% CI of 2.12, 2,312 patients provide 80% power for noninferiority of IBR as first recurrence for the concurrent arm. Secondary end points included disease-free survival and overall survival, adverse events (AEs), and cosmetic outcomes. RESULTS Between May 24, 2011, and June 20, 2014, 2,354 patients were randomly assigned, with 2,255 eligible for analysis (sequential arm, n = 1,118; concurrent arm, n = 1,137). With median follow-up of 7.3 years, there were 56 IBR events; 5- and 7-year IBR were 2.1% and 2.2% on the sequential arm and 1.9% and 2.6% on the concurrent arm, respectively. The noninferiority criterion was met: HR (90% CI): 1.31 (0.84 to 2.04), P = .037. No differences were observed in AEs, cosmetic outcomes, or survival between arms. CONCLUSION Concurrent boost during WBI results in noninferior IBR compared with sequential boost without worsening toxicity or cosmetic outcomes and reduces overall treatment time.

Autoimmune diseases arise when B and T lymphocytes lose tolerance to self. Yet in most disorders, the underlying molecular determinants, including autoantibodies, epitopes and lymphocyte clones that drive tissue injury remain undefined. Rapid-onset obesity with hypothalamic dysfunction, hypoventilation and autonomic dysregulation (ROHHAD) is a rare and often fatal pediatric neuroendocrine syndrome with strong evidence of antigen-driven paraneoplastic autoimmunity, including association with the intracellular autoantigen ZSCAN1. However, the effector immune circuit and the epitope-level determinants operating within the hypothalamus and brainstem have remained unknown. To address this challenge in ROHHAD and more broadly in autoimmune disease, we developed the Autoimmune Epitope and immunoGlobulin/Immune-receptor identification System (AEGIS), an integrated framework that links immune repertoires to their cognate self-epitopes. AEGIS combines B cell and T cell receptor profiling from sites of tissue injury with high-resolution epitope mapping, direct sequencing of antigen-specific autoantibodies, in silico antibody-antigen folding, selection, and T cell antigen discovery. Applied to a deeply phenotyped child with ROHHAD, AEGIS revealed a compartmentalized, clonally restricted immune response in which brain-deposited IgG and expanded cerebrospinal fluid B cell and CD4 T cell clonotypes converged on shared ZSCAN1 epitopes, resolved to minimal determinants and peptide-MHC ligands. These findings provide a clone- and epitope-linked mechanistic map of ROHHAD autoimmunity and establish a generalizable framework for identifying candidate pathogenic clones and antigens across diverse autoimmune diseases.

Importance Current risk prediction guidelines for hypertrophic cardiomyopathy predict only sudden cardiac death and are imperfect, leading to avoidable deaths and unnecessary implantable cardioverter defibrillators. Objective To combine prospectively collected clinical history, imaging, genetic, and biomarker data to improve risk prediction of adverse events in hypertrophic cardiomyopathy. Design, Setting, and Participants A total of 2750 patients with hypertrophic cardiomyopathy were prospectively enrolled in the registry-based study from 44 sites in North America and Europe with expertise in hypertrophic cardiomyopathy and cardiac magnetic resonance (CMR) imaging. Participants were enrolled from April 1, 2014, to April 7, 2017. Exposures Patients underwent a health history questionnaire, blood sampling for biomarkers and genotyping, and contrast-enhanced CMR. Patients were followed up yearly by telephone and through records review regarding event documentation. Main Outcomes and Measures The predefined composite adjudicated primary end point was time to first event for hypertrophic cardiomyopathy–related deaths; nonfatal sustained ventricular arrhythmias (VAs) requiring cardioversion or defibrillation; and left ventricular (LV) assist device implant or heart transplant. A secondary end point was a composite of sudden cardiac death and nonfatal VA events. The elastic-net method identified the most important predictors. Cox proportional hazards regression assessed associations with time to the first end point. Results Of the 2750 prospectively enrolled patients, 2698 (98%) had analyzable data after 9 were excluded because they had hypertrophic cardiomyopathy phenocopies and 43 withdrew. Of these remaining patients, 1919 (71%) were male, mean age was 50 years (SD, 11 years), and 423 (16%) were from underrepresented racial and minority groups. The mean follow-up was 6.9 years (SD, 2.1 years). The primary event model in 104 patients included LV scar as a percentage of LV mass by late gadolinium enhancement (LGE%; hazard ratio [HR], 1.86; 95% CI, 1.58-2.20; P < .001), LV mass index (HR, 1.09; 95% CI, 1.01-1.17; P = .03), LV end-systolic volume index (HR, 1.28; 95% CI, 1.12-1.46; P < .001 ), all per 10-unit increase, history of heart failure at study entry (HR, 2.89; 95% CI, 1.75-4.77; P < .001), and log N-terminal pro–B-type natriuretic peptide (NT-proBNP; HR, 1.41; 95% CI, 1.17-1.70; P < .001) level per log unit, (C index for all, 0.77). An LGE percentage of the LV mass of 9% or higher substantially increased the primary composite event rate ( P = .001). The secondary sudden cardiac death and VA risk factor model (in 69 patients) included LGE%, LV mass index, LV ejection fraction, and log(NT-proBNP) (C index, 0.76). Conclusions and Relevance These results provide prospective evidence for incorporating cardiac magnetic resonance and NT-proBNP in the evaluation of patients with hypertrophic cardiomyopathy. Trial Registration ClinicalTrials.gov Identifier: NCT01915615

Abstract Background The Global Bipolar Cohort (GBC) was established to identify existing bipolar disorder (BD) cohorts worldwide and foster collaborations focused on descriptive and analytic outcomes relevant to BD. A distributed analytic framework has been implemented to engage multiple sites without the need for central data pooling. This report describes the GBC endeavor and global functional impairment patterns. Cross-cohort comparisons of functional correlates are limited by heterogeneous measures and data-sharing constraints. Large, culturally diverse comparisons are needed to distinguish broadly reproducible correlates from cohort-specific effects. Participating sites completed a 28-item descriptive survey covering diagnostic methods, cognition, genetics, treatment, functioning, and follow-up strategies. We implemented a harmonized local logistic regression model of dichotomized functional outcome and shared summary statistics only. Results We identified 69 cohorts across five continents. Thirty-seven cohorts contributed functional outcome analyses from 17,130 participants. Outcome measures included clinician-rated disability scales and social indicators such as employment and marital status. The proportion classified with poor functioning ranged from 16% to 77% (mean 50%). In 32 of 37 cohorts, the overall regression model significantly explained variance in functioning. Current depressive symptoms were the most robust and reproducible correlate of poor functional outcome: they were assessed in 29 cohorts, significant in 22 (75.8%), ranked among the top three correlates in 22, and were the top-ranked correlates in 19. Associations between depressive burden and poor functioning were observed across clinician-rated disability scales and work or social indicators, and across geographically diverse cohorts. Comorbid substance use disorder and medication-related variables were associated with poorer functioning in subsets of cohorts, whereas sex, ancestry, bipolar subtype, psychosis history, and premorbid IQ showed weak or inconsistent associations. Cognitive measures, available in a minority of regression models, showed modest and non-uniform effects. Conclusions Across heterogeneous international cohorts, current depressive symptom burden emerged as the most consistent correlate of poor functioning in bipolar disorder. These findings replicate earlier multisite work at a larger scale, show that protocol-based distributed analyses can identify reproducible clinical signals without sharing individual-level data, and support prioritizing detection and treatment of depressive symptoms when aiming to improve real-world functioning. Future work should expand longitudinal harmonization and representation of under-studied populations.

Objectives: Developmental Dysplasia of the Hip (DDH) is a common congenital anomaly requiring early diagnosis to minimize invasive treatments. This study evaluates Lebanese pediatricians’ knowledge of DDH risk factors, screening methods, and treatment strategies, comparing their practices to American and European guidelines to propose screening recommendations. Methods: A cross-sectional descriptive study was conducted using a confidential questionnaire to assess Lebanese pediatricians’ knowledge and practices regarding DDH. Contact information for pediatricians was obtained from the Lebanese Order of Physicians. Out of 600 emailed and 100 distributed questionnaires, 263 responses were received, and data were analyzed using proportion tests. Results: Of the 263 respondents (19.9% response rate), 84% routinely ordered radiographs at 4 months, while only 0.4% followed recommended guidelines. About 50% performed hip stability tests (Barlow and Ortolani) at 6 months, and 78.32% recommended the Pavlik harness for post-6-month treatment. Additionally, 97% valued periodic reminders about DDH. Significant gaps were identified in training on risk factor identification, physical examination procedures, imaging indications, management of abnormal findings, and treatment choices. Conclusions: The study highlights a critical training gap in DDH screening among Lebanese pediatricians. Implementing routine neonatal screening aligned with international recommendations is essential to reduce delayed diagnosis and its associated economic burden. Improved education and training on DDH screening and treatment are crucial for early detection and better patient outcomes.

Abstract Introduction Sleep regularity has been shown to be a stronger predictor of mortality compared to sleep duration, though the underlying mechanisms are incompletely understood. Heart rate variability (HRV), a measure of cardiac autonomic modulation, is associated with cardiovascular morbidity and mortality. While HRV is traditionally analyzed using linear methods (e.g., frequency-domain analyses), there is growing interest in nonlinear measures to assess the dynamic complexity of cardiac regulation. However, the influence of sleep regularity on both linear and nonlinear HRV is unclear. We therefore assessed the association between sleep regularity and HRV in healthy adults. Methods HRV was obtained in 12 participants (6 female) via electrocardiography during 10-min supine rest and assessed using linear (high frequency [HF]; low frequency [LF]/HF ratio) and nonlinear (detrended fluctuation analysis [DFA]-α1 and -α2) indices. Sleep regularity was quantified using the standard deviation (SD) of diary-determined sleep onset across ~14 days. Participants were classified as regular (SD< 1h; n=5) or irregular sleepers (SD>=1h; n=7). Irregular sleepers were instructed to maintain a consistent sleep onset (±30min) for 12-weeks. Differences between groups were assessed using independent t-tests and relationships between SD sleep onset and HRV were assessed using Pearson correlation analyses. Results There were no differences between groups in age (mean±SD, irregular vs. regular, respectively; 30.7±7.8 vs. 27.2±8.5y; p=0.23), sleep onset timing (24:38±1:45 vs. 23:37±1:14; p=0.14), or DFA-α2 (0.27±0.11 vs. 0.36±0.20; p=0.16). At baseline, irregular sleepers had higher SD sleep onset (1.4±0.4 vs. 0.8±0.2h; p< 0.01), LF/HF ratio (2.4±1.8 vs. 0.6±0.5%; p=0.03), DFA-α1 (1.10±0.22 vs. 0.81±0.20; p=0.02), and lower HF (37.1±20.5 vs. 63.1±7.1nu; p=0.02). In the entire sample, SD sleep onset was inversely correlated with HF (r=-0.63; p=0.02) and positively correlated with LF/HF ratio (r=0.75; p< 0.01) and DFA-α1(r=0.61; p=0.03) at baseline. At 12-weeks, the change in SD sleep onset was inversely correlated with change in HF (r=-0.79; p< 0.01) and positively correlated with change in LF/HF ratio (r=0.77; p< 0.01) and DFA-α1(r=0.66; p=0.01). Conclusion Irregular sleep patterns are associated with altered cardiac regulatory dynamics and may be one mechanism contributing to adverse outcomes. Improving sleep regularity may be a potential interventional target to improve the autonomic balance and cardiovascular adaptation. Support (if any)

OBJECTIVE Adamantinomatous craniopharyngioma (ACP) is a rare type of brain tumor that affects a wide age range, from children to older adults. Due to the rarity of the disease, existing studies are predominantly limited to single-center or single-surgeon experiences, often lacking statistical power and generalizability. The aim of this study was to address this gap by providing a comprehensive analysis of ACP outcomes based on a large multicenter cohort from the Registry of Adenomas of the Pituitary and Related Disorders (RAPID). METHODS This multicenter retrospective cohort study was conducted via the RAPID consortium and assessed patients with histologically confirmed ACP treated surgically between August 2000 and November 2024 at high-volume pituitary centers across the United States. RESULTS Among the 359 patients (206 male, median age at primary surgery of 47 years) included in the analysis, 76% underwent endoscopic transsphenoidal surgery and 22% underwent craniotomy. Gross-total resection was achieved in 45% and subtotal resection in 47%. Notably, 120 of 311 patients (39%) presented with preoperative hypothalamic-pituitary axis dysfunction. Following all treatments, permanent hypothyroidism was reported in 40% of patients, adrenal insufficiency in 33%, and arginine vasopressin deficiency in 19%. Of 263 patients who underwent primary surgery, radiation therapy was administered in 84 (32%). Progression-free survival (PFS) declined from 66% at 1 year to 31% at 6 years. In the multivariable analysis, independent predictors of worse PFS included subtotal resection (HR 0.22, 95% CI 0.11–0.42; p = 0.001), partial resection (HR 0.11, 95% CI 0.04–0.28, p = 0.001), larger tumor size (HR 0.77, 95% CI 0.64–0.94; p = 0.009), and tumor extension beyond the sella and suprasellar regions (HR 0.21, 95% CI 0.06–0.74; p = 0.016). Primary surgery and salvage surgery groups showed comparable PFS. CONCLUSIONS In this large multicenter cohort study, gross-total resection was achieved in fewer than half of patients and was independently associated with improved PFS. Approximately one-third of patients underwent radiation therapy after primary surgery. These findings provide robust evidence supporting the prognostic value of extent of resection and inform contemporary treatment algorithms for ACP. The high incidence of postoperative endocrinopathy underscores the need for individualized multidisciplinary long-term care. While the retrospective design is a limitation, the multicenter approach enhances the generalizability of these results.

ABSTRACT Aims Exercise capacity is a powerful predictor of cardiovascular risk. In patients unable to exercise, body composition analysis can potentially be used to estimate cardiorespiratory fitness. We developed a body composition “fitness” score, then validated its utility in two external populations. Methods and Results We included patients from four sites undergoing single photon emission computed tomography (SPECT) and twelve sites undergoing positron emission tomography (PET). We quantified body composition using deep learning. We evaluated associations between body composition and good exercise capacity (defined as completing ≥7 minutes on a Bruce protocol) then developed a body composition “fitness” score. We then assessed the associations of “fitness” score with exercise capacity and all-cause mortality in external populations. In total, 36471 patients were included with median age 67 (interquartile range 58 – 74). Median skeletal muscle density was higher among patients with good exercise capacity. In the external SPECT population, the body composition “fitness” score had higher prediction performance for good exercise capacity (AUC 0.771, 95% CI 0.752 – 0.789) than age (AUC 0.717, p<0.01). In the external PET population, high body composition “fitness” score was associated with lower cardiovascular death (adjusted hazard ratio 0.70, 95% CI 0.62 – 0.79, p<0.001). Conclusions We demonstrated that a comprehensive body composition “fitness” score could identify patients with good cardiorespiratory fitness. This approach transforms routinely acquired CT data into a surrogate marker of fitness which can be applied in patients undergoing PET, or other CT imaging, where exercise testing is not performed. Graphical Abstract Overview of study design. The overall population (n=36471) was split as outlined above. Body composition was analyzed from available computed tomography imaging. The distribution of body composition measures were analyzed in the combined single photon emission computed tomography (SPECT) populations. A body composition “fitness” score was derived to predict good exercise capacity in the internal population, with associations assessed in the two external testing populations.

Introduction: Young-onset esophageal adenocarcinoma (EAC) often presents at advanced stages and is associated with poor outcomes. We aimed to examine the epidemiology of young-onset Barrett’s esophagus (BE) using the TriNetX database. Methods: Young-onset BE patients (age 18 to younger than 50 y) with esophagogastroduodenoscopy (EGD) within 1 year before index BE diagnosis between 2014 and 2023 were included. Negative binomial regression was used to evaluate incident-time trends, and logistic regression to assess for independent predictors of young-onset BE. Results: BE diagnosis was present in 76,691 (3.3%) of 2,337,786 patients that underwent EGD, of which 14,120 (18%) had prevalent young-onset BE. BE dysplasia/EAC was present in 6% of young-onset patients at initial diagnosis. Conventional BE risk factors also predicted young-onset BE: GERD (OR=2.4), White race (OR=2.4), male sex (OR=2.2), smoking (OR=1.2), and obesity (OR=1.1). Each additional risk factor increased the probability of BE prevalence by 74% in young patients versus 54% in older patients. The prevalence of young-onset BE was 4.5% with GERD and ≥3 additional risk factors, and 2.3% when ≥3 risk factors were present. Discussion: Young-onset BE accounts for 18% of all BE cases, demonstrates a striking 6% rate of dysplasia/neoplasia at initial diagnosis, and has a prevalence of 4.5% in those with GERD and ≥3 risk factors. These findings suggest that young-onset BE is an important patient population that merits further study. Additional studies are necessary to study the cost-effectiveness of BE screening in younger patients with multiple risk factors.