Citations

PURPOSE Patients with breast cancer requiring postmastectomy radiation therapy (PMRT) often desire breast reconstruction. Reconstructions can be adversely affected by PMRT, and fear of reconstruction complications has discouraged adoption of short-course radiation therapy used after lumpectomy. To fill the evidence gap, we conducted a noninferiority trial of hypofractionated versus conventional PMRT in patients undergoing breast reconstruction. The primary outcome was reconstruction complication rate, a composite of wound healing, readmission, capsular contracture, unplanned reoperation, and reconstruction failure. METHODS Women with unilateral invasive breast cancer with planned immediate or delayed reconstruction and PMRT were randomly assigned (1:1) to 50 Gy (25 fractions/5 weeks) or 42.56 Gy (16 fractions/3 weeks). This study was designed with a noninferiority margin of 10%, assuming a 2-year reconstruction complication rate of 25% with conventional PMRT. Randomization was stratified by immediate versus delayed and autologous versus implant-only reconstruction. RESULTS Between 2018 and 2021, 898 patients enrolled with a median follow-up of 3.9 years; 825 patients were evaluable for the primary end point. The 24-month reconstruction complication rates were 12.3% (52/422) with hypofractionated PMRT and 10.2% (41/403) with conventional PMRT, corresponding to an estimated difference of -2.1% (95% CI, -6.5 to 2.2). The complication rate was higher (regardless of arm) with implant-only versus autologous reconstruction (odds ratio = 1.65). There was no statistically significant difference in 36-month locoregional recurrence rates: 1.5% (95% CI, 0.7 to 3.2) with hypofractionated and 2.2% (95% CI, 1.1 to 4.3) with conventional PMRT. Acute and late toxicity rates were not statistically different. CONCLUSION A 16-fraction course of hypofractionated PMRT is safe and noninferior to conventional PMRT in women undergoing breast reconstruction after mastectomy.

Systematic reviews of randomized controlled trials (RCTs) support evidence-based clinical advancement. Clinical trial reporting guidelines, including CONSORT, establish common data elements that support systematic synthesis of published trial outcomes. However, the rapid rise of digital health technologies presents new challenges for reporting guidelines, and substantial real-world reporting heterogeneity has been observed. Therefore, machine-assisted evaluation of reporting adherence offers a pathway for more agile information management to accommodate the diverse and disruptive nature of digital health technology-enabled RCTs. Here, we propose an accelerated retrieval-to-abstraction literature synthesis framework to conduct article screening, text and table data preprocessing, and full-text review using an unmodified pretrained large language model. We apply this methodology in two digital health technology-enabled RCT case studies evaluating adherence to technology and digital health equity guideline reporting items. Large language model performance was on par with inter-annotator agreement F1 scores (≥0.9) in both screening and information-extraction tasks. These findings support the scalability and rigor of accelerated evidence synthesis and demonstrate the importance of common reporting elements across digital health technology-enabled RCTs.

Abstract Glioblastoma (GBM) is a lethal, treatment-resistant brain cancer characterized by diffuse brain invasion, complex neuron-glioma signaling, and cellular, molecular, and spatial heterogeneity. Surgery is the current mainstay of treatment, aimed at maximizing tumor cytoreduction, decompressing the brain to improve neurological function, and providing material for analyses to inform prognostication and adjuvant treatment selection. To accurately model GBM surgical resection and tissue sampling in preclinical animal models, we developed the Maximal Safe Intracranial Surgery (MSIS) system. MSIS integrated a miniaturized neurosurgical resection device and enabled a safe, tunable, and reproducible approach for intracranial tumor resection, multi-regional biopsy, and longitudinal tissue sampling in murine models, with stereotactic, sterile, and high-viability tissue collection. MSIS was applied across five distinct orthotopic brain tumor models to reproducibly generate histologically and radiologically representative models of post-surgical GBM. Similar to humans, increasing the extent of resection correlated with improved animal survival, and recurrent growth patterns varied significantly by model type. Transcriptional profiles of matched primary vs. post-surgical recurrent tumors revealed enrichment of margin-associated transcriptional states consistent with neuron-glioma signaling. Overall, the MSIS system offers opportunities to model the standard-of-care, dissect the spatial and temporal dynamics of GBM, and pair therapeutic discovery with contextual tumor pathobiology.

Abstract Context Menstrual irregularities have been associated with cardiovascular disease (CVD) risk, but underlying etiologies may confer distinct risk profiles. Functional hypothalamic amenorrhea (FHA) has not been evaluated as a separate risk phenotype. Objective To assess the association between FHA phenotype and incident CVD and cardiometabolic risk factors. Design Prospective cohort study with biennial follow-up from 1993 to 2019. Setting Nurses’ Health Study II cohort. Participants The sample included 52,655 premenopausal women free of CVD in 1993. FHA phenotype was defined as irregular or absent cycles without PCOS traits combined with low body mass index and/or high physical activity. Intervention None Main Outcome Measures Incident CVD (coronary heart disease [CHD; myocardial infarction or coronary revascularization] and stroke) and incident elevated cholesterol, hypertension, and type 2 diabetes (T2DM). Results During up to 26 years of follow-up, 1,007 CVD events occurred. Among women who developed CVD, the median time to the first CVD event was 17.0 years (IQR, 11.3-21.0). FHA phenotype in mid-adulthood was associated with a 62% higher risk of CVD (95% confidence interval [CI]: 1.01–2.59), driven by an almost two-fold higher risk of CHD (hazard ratio [HR] = 1.91; 95% CI: 1.11–3.27), compared with women with regular cycles. FHA was also associated with T2DM (HR = 1.86; 95% CI: 1.41–2.47), but not hypertension or elevated cholesterol. Non-FHA menstrual irregularity was associated with elevated cholesterol, hypertension, and T2DM, but not CVD. FHA in early adulthood was not associated with outcomes. Conclusions FHA phenotype in mid-adulthood was associated with increased CHD risk independent of traditional risk factors. Menstrual history may serve as an early marker of cardiometabolic risk.

Background/Objectives: The role of iron in Alzheimer’s disease (AD) and frontotemporal lobar degeneration (FTLD) has been debated. However, the effects of iron on protein burden in these diseases remain poorly elucidated. We hypothesized that there is an association between iron deposition and tau and beta-amyloid deposition in deep grey matter (GM) regions in FTLD. Methods: Neuropathological samples were collected from two control subjects and 10 disease subjects. This included 12 subjects, with several pathological subgroups represented by only one or two cases. Of the 10 disease subjects, one had low-level AD neuropathology (L-AD), and one had high-level AD neuropathology (H-AD), whereas the remaining eight subjects had FTLD-tau pathology, including progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), globular glial tauopathy (GGT), and Pick’s disease (PiD). Neuropathological samples were stained for iron with Prussian blue (PB) and ferritin, tau, and beta-amyloid in the basal ganglia (BG). All 12 subjects had also undergone diffusion MRI, amyloid-PET (PiB-PET), and Tau-PET (flortaucipir) before death. Diffusion tensor imaging mean diffusivity (MD) from BG was examined in each subject. Spearman’s rank correlations between imaging and histology were calculated. Results: Increased BG iron was observed in PSP subjects. Prussian blue and ferritin measures were associated with higher tau- and β-amyloid pathological burden. Tau-PET uptake correlated with iron in the BG. Conclusions: The results of this exploratory study suggest associations between iron burden and tau- and β-amyloid-related measures within basal ganglia regions that may help to explain increased PET signals in AD and FTLD-Tau. Our findings should be considered to be hypothesis-generating and require validation. These preliminary findings require validation in larger cohorts.

Objective: Patients with limited English proficiency often face barriers to accessing timely care. We evaluated whether Spanish-language Fast Pass messaging, combined with two-way Short Message Service (SMS) functionality, increased appointment acceptance rates among Spanish-preferring patients while maintaining equitable outcomes for English-preferring patients. Methods: A pre/post-quality improvement project was conducted at Mayo Clinic from November 2023 to June 2025. Epic’s Fast Pass, an automated appointment waitlist system, was enhanced with Spanish-language templates and bidirectional SMS in lieu of patient portal utilization. The primary outcome was the Fast Pass acceptance rate for Spanish-preferring patients. Balancing measures included acceptance among English-preferring patients. Secondary outcomes included scheduler efficiency and cost savings. Results: Prior to implementation, Spanish-preferring patients accepted 4.69% of Fast Pass offers compared with 7.57% for English-preferring patients. Post-implementation, acceptance rates for Spanish-preferring patients increased from 4.69% to 8.05%, a 71.6% improvement in the acceptance rate, exceeding the initial target of a 7.57% acceptance rate. Acceptance rates for English-preferring patients also improved, rising from 7.57% to 9.5%, or a 25.5% improvement in the acceptance rate. The intervention resulted in 344 additional Spanish-language accepted appointments and 29,883 additional English-language accepted appointments, both measured by unique patient appointments. The intervention also improved operational efficiency, saving more than 4,000 hours of scheduler time and reducing scheduling-related costs. Conclusions: Spanish-language concordant and SMS-enabled Fast Pass messages improved patient equity in appointment access while increasing scheduling efficiency and reducing operational costs. Health systems should adopt language-concordant digital communication strategies. Future research should expand to include additional languages and explore artifical intelligence–based scheduling support.

ABSTRACT Background Mobility functional status is inconsistently recorded in electronic health records. Recent advances in Large Language Models (LLMs) enable automated extraction of functional information from unstructured clinical notes. Leveraging a validated functional LLM with high performance in mobility extraction, we aimed to study the association between LLM‐derived mobility functional status and clinical outcomes, including emergency department (ED) visits, hospitalizations, and mortality. Methods Individuals aged 60 years and older enrolled in the Mayo Clinic Study of Aging, with documented clinical notes in 2022 were included. Individuals without any identifiable functional information were excluded. The LLM‐derived mobility functional status categorized mobility as impaired or unimpaired, across the five mobility domains as classified by International Classification of Functioning, Disability, and Health. Clinical outcomes in 2023 were extracted from the Rochester Epidemiology Project database. Logistic regression models assessed associations between mobility impairment and outcomes, adjusted for age, sex, Elixhauser comorbidity index, and education. Results Three thousand three hundred thirty‐seven individuals were screened, of whom three hundred forty‐three had no functional information. Two thousand nine hundred ninety‐four individuals were analyzed. 79.4% had at least one mobility impairment. Higher mobility impairment is associated with older age and greater Elixhauser comorbidity. Individuals with 3 or more impairments had an increased adjusted odds of ED visits (Adjusted Odds Ratio (aOR): 2.18 (1.64, 2.90)) and hospitalizations (aOR: 2.35 (1.51, 3.65)) compared to unimpaired individuals ( p < 0.001), while mortality did not demonstrate a significant association with mobility impairment. Conclusion LLM‐derived mobility functional status assessment was associated with ED visits and hospitalization, but not with all‐cause mortality after adjustment. Prospective validation and evaluation of incremental discrimination, calibration, and clinical utility are needed before clinical implementation.