Citations

363 Background: The incidence of BC in young adults is increasing; given their extended survivorship, characterizing healthcare utilization and adherence to surveillance guidelines can inform unmet health needs and gaps in care. Methods: The multi-center Young Women’s BC Cohort Study enrolled 1302 women ≤40 yrs with newly diagnosed (dx) BC from 2006-2016. Participants completed surveys every 6 mos for 3 yrs post-dx, then annually. The current analysis includes patients with Stage 0-III BC without recurrence who completed the 7-yr survey assessing survivorship care, including types of providers visited, BC surveillance, and other health maintenance practices. Multivariate logistic regression evaluated factors (clinical, demographics, concern about recurrence) associated with 1) full transition to a primary care provider (PCP) for follow-up; adherence to 2) mammography (among women who had a unilateral mastectomy or lumpectomy) and 3) bone density scans (among current hormonal therapy [HT] users), per ASCO/ACS guidelines. Results: Of 660 women with Stage 0-III BC, median age at dx was 37 (range: 17-40); 89% identified as White, 5%, Asian, 3%, Black, 3% as other/multiracial, and 4%, Hispanic. Most had received chemotherapy (75%) and radiation (61%) and 35% reported current HT; 12% had a BRCA1/2 mutation. For cancer-related follow-up, 57% reported seeing an oncology provider only, 12%, PCP only, and 29% saw a PCP + oncology provider. Among women with remaining breast(s) (n=348), 90% reported a mammogram in the last year. Adherence to other health maintenance practices varied: 68% reported having had a flu shot, 76% a pap test/pelvic exam, and 56% cholesterol screening within the last 2 yrs. Among current HT users (n=210), 46% reported a bone density scan within the last 2 yrs. In multivariate analyses assessing the odds of seeing a PCP only (vs. oncology + PCP), having stage 0 vs I disease (OR 2.74 95% CI 1.01-6.80) was associated with higher odds while any HT use (OR .31 95% CI .16-.58) and concern about recurrence (OR .23 95% CI .12-.47) were associated with lower odds. The table includes factors significantly associated with non-adherence to mammography and bone density scans. Conclusions: At 7-years post-dx, most young survivors participating in a cohort study receive cancer follow-up care from an oncology provider and have not fully transitioned their care to a PCP. Adherence to recommendations related to bone health among HT users was suboptimal. Additional research to identify barriers/facilitators to receipt of guideline-concordant follow-up care at the patient, provider, and systems levels may inform strategies to optimize survivorship in young BC survivors. Multivariable analysis: factors associated with non-adherence. MammogramOR 95% CI Bone density scanOR 95% CI Her2+ .38, .15 -.98 NS BRCA1/2 + 8.36, 1.38-50.47 .17, .05 -.62 Chemotherapy NS .22, .06 -.78 Unilateral mastectomy vs lumpectomy 6.64, 2.69-16.34 NS

The Human Factors (HF) track at the Annual Healthcare Distance Simulation Summit focuses on improving the effectiveness of distance simulation utilizing human factors principles. During this presentation, we will 1. review the work to-date of the HF track of the Distance Simulation Summit, 2. discuss current opportunities for collaboration between human factors practitioners and simulationists, and 3. introduce ideas for future work. The potential target audiences for this discussion are researchers and practitioners who are interested in or involved in distance simulation or simulation in healthcare generally, educators who want to learn how to use distance simulation effectively and efficiently, and healthcare professionals and students who want to enhance their skills and knowledge about distance simulation. The presentation will stimulate discussion and feedback from the audience, which can enrich the knowledge base and generate new research questions and directions for distance simulation.

Postacute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (PASC) represent an urgent public health challenge and are estimated to affect more than 60 million individuals globally. Although a growing body of evidence suggests that dysregulated immune reactions may be linked with PASC symptoms, most investigations have primarily centered around blood-based studies, with few focusing on samples derived from affected tissues. Furthermore, clinical studies alone often provide correlative insights rather than causal mechanisms. Thus, it is essential to compare clinical samples with relevant animal models and conduct functional experiments to understand the etiology of PASC. In this study, we comprehensively compared bronchoalveolar lavage fluid single-cell RNA sequencing data derived from clinical PASC samples and a mouse model of PASC. This revealed a pro-fibrotic monocyte-derived macrophage response in respiratory PASC, as well as abnormal interactions between pulmonary macrophages and respiratory resident T cells, in both humans and mice. Interferon-γ (IFN-γ) emerged as a key node mediating the immune anomalies in respiratory PASC. Neutralizing IFN-γ after the resolution of acute SARS-CoV-2 infection reduced lung inflammation and tissue fibrosis in mice. Together, our study underscores the importance of performing comparative analysis to understand the cause of PASC and suggests that the IFN-γ signaling axis might represent a therapeutic target.

INTRODUCTION: Early neoplastic progression of Barrett's esophagus (BE) is often treated with endoscopic therapy. Although effective, some patients are refractory to therapy or recur after apparent eradication of the BE. The goal of this study was to determine whether genomic alterations within the treated BE may be associated with persistent or recurrent disease. METHODS: We performed DNA sequencing on pre-treatment esophageal samples from 45 patients who were successfully treated by endoscopic therapy and did not recur as well as pre-treatment and post-treatment samples from 40 patients who had persistent neoplasia and 21 patients who had recurrent neoplasia. The genomic alterations were compared between groups. RESULTS: The genomic landscape was similar between all groups. Patients with persistent disease were more likely to have pre-treatment alterations involving the receptor tyrosine kinase pathway ( P = 0.01), amplifications of oncogenes ( P = 0.01), and deletions of tumor suppressor genes ( P = 0.02). These associations were no longer significant after adjusting for patient age and BE length. More than half of patients with persistent (52.5%) or recurrent (57.2%) disease showed pre-treatment and post-treatment samples that shared at least 50% of their driver mutations. DISCUSSION: Pre-treatment samples were genomically similar between those who responded to endoscopic therapy and those who had persistent or recurrent disease, suggesting there is not a strong genomic component to treatment response. Although it was expected to find shared driver mutations in pre-treatment and post-treatment samples in patients with persistent disease, the finding that an equal number of patients with recurrent disease also showed this relation suggests that many recurrences represent undetected minimal residual disease.

ObjectiveTo identify characteristics of patients who have poor improvement in symptoms following surgical management of Zenker Diverticulum (ZD).MethodsProspective, multicenter cohort study of all individuals enrolled in the Prospective OUtcomes of Cricopharyngeus Hypertonicity (POUCH) Collaborative who underwent surgical repair of ZD between August 2017 and January 2024. Patient demographics, esophagrams, and the 10‐item Eating Assessment Tool (EAT‐10) pre‐ and post‐procedure were obtained from a REDCap database. t‐tests, Wilcoxon rank sum tests, Chi‐square or Fisher's exact tests were used to compare the characteristics. Patients with <50% improvement in their EAT‐10 scores were deemed surgical nonresponders (SNRs). Those with ≥50% improvement in their EAT‐10 scores were deemed surgical responders (SRs).ResultsA total of 184 patients were prospectively followed after undergoing either open or endoscopic surgical management. Twenty‐two patients (12%) were deemed SNRs. Preoperative presence of a hiatal hernia was statistically significant characteristic between the SNRs (63.6%) and SRs (32.1%) (p = 0.004). Size of the ZD and history of previous ZD surgery was not a significant characteristic. The length of stay and complication rate were not statistically different between the groups.ConclusionCoexistent esophageal pathology may lead to poor symptomatic improvement following ZD surgery. Preoperative workup of other esophageal disorders is recommended to detect likely SNRs. For SNRs, further esophageal workup may be necessary to evaluate for other esophageal causes related to poor symptomatic improvement following ZD surgery.Level of Evidence3 Laryngoscope, 134:4897–4902, 2024

PURPOSE Long-term outcomes of patients with stage I human epidermal growth factor receptor 2 (HER2)–positive breast cancer receiving adjuvant trastuzumab emtansine (T-DM1) remain undefined, and prognostic predictors represent an unmet need. METHODS In the ATEMPT phase II trial, patients with stage I centrally confirmed HER2-positive breast cancer were randomly assigned 3:1 to adjuvant T-DM1 for 1 year or paclitaxel plus trastuzumab (TH). Coprimary objectives were to compare the incidence of clinically relevant toxicities between arms and to evaluate invasive disease-free survival (iDFS) with T-DM1. Correlative analyses included the HER2DX genomic tool, multiomic evaluations of HER2 heterogeneity, and predictors of thrombocytopenia. RESULTS After a median follow-up of 5.8 years, 11 iDFS events were observed in the T-DM1 arm, consistent with a 5-year iDFS of 97.0% (95% CI, 95.2 to 98.7). At 5 years, the recurrence-free interval (RFI) was 98.3% (95% CI, 97.0 to 99.7), the overall survival was 97.8% (95% CI, 96.3 to 99.3), and the breast cancer-specific survival was 99.4% (95% CI, 98.6 to 100). Comparable iDFS was observed with T-DM1 irrespective of tumor size, hormone receptor status, centrally determined HER2 immunohistochemical score, and receipt of T-DM1 for more or less than 6 months. Although ATEMPT was not powered for this end point, the 5-year iDFS in the TH arm was 91.1%. Among patients with sufficient tissue for HER2DX testing (n = 187), 5-year outcomes significantly differed according to HER2DX risk score, with better RFI (98.1% v 81.8%, hazard ratio [HR], 0.10, P = .01) and iDFS (96.3% v 81.8%, HR, 0.20, P = .047) among patients with HER2DX low-risk versus high-risk tumors, respectively. CONCLUSION Adjuvant T-DM1 for 1 year leads to outstanding long-term outcomes for patients with stage I HER2-positive breast cancer. A high HER2DX risk score predicted a higher risk of recurrence in ATEMPT.

IntroductionAlzheimer's disease (AD) is a neurodegenerative disease with neurogenic fiber tangles caused by amyloid-β protein plaques and tau protein hyperphosphorylation as the pathological manifestations. This study was based on multi-omics to investigate the mechanisms and immune characterization of AD.Material and methodsBased on bulk RNA-seq (GSE122063 and GSE97760), we screened potential biomarkers for AD by differential expression analysis and machine learning algorithms. Then, we elaborated the expression characteristics and immune functions of the above biomarkers by scRNA-seq (single-cell RNA sequencing) data analysis (GSM4996463 and GSM4996462) and immune infiltration analysis.ResultsFive biomarkers (RBM3, GOLGA8A, ALS2, FSD2, and LOC100287628) were identified using machine learning algorithms. Single-cell analysis revealed distinct expression patterns of these biomarkers in astrocytes from AD samples compared to normal samples. Additionally, three key biomarkers were selected based on interaction networks, and the diagnostic models indicated high diagnostic efficacy for these biomarkers. Based on immune infiltration and correlation analyses, RBM3, GOLGA8A, and ALS2 were all highly correlated with CD8 T cell content in the immune microenvironment of AD.ConclusionsThe biomarkers identified in this study demonstrate significant diagnostic potential for AD. Notably, the downregulation of RBM3 in astrocytes and the decreased presence of CD8 T cells infiltrating brain tissue are potential risk factors for AD.

1518 Background: Despite high interest among young women diagnosed with breast cancer (BC) in future fertility, prior research has been hampered by short follow-up and lack of prospective assessment of pregnancy attempts. We sought to describe fertility outcomes among young women participating in a prospective cohort who reported pregnancy attempt post-BC diagnosis. Methods: Women with stage 0-III BC in the Young Women's Breast Cancer Study (YWS, NCT01468246), a multicenter, prospective cohort of women diagnosed at age ≤40 from 2006-2016 who reported attempting pregnancy post-diagnosis were included. Those with prior hysterectomy, bilateral oophorectomy, or metastatic disease at diagnosis were excluded. Data on attempting pregnancy and fertility outcomes were obtained from serial surveys. Multivariable logistic regression with stepwise model selection was used to identify factors associated with pregnancy and live birth. Results: Among 1213 eligible participants, 197 reported any attempt of pregnancy (16%) over a median follow-up of 11 years (range: 3-17). Among attempters, median age at diagnosis was 32 years (range: 17-40); 74% were non-Hispanic White; 41% had stage I, 35% stage II, 10% stage III, and 14% stage 0 BC; 76% had HR+ disease; 68% received chemotherapy; 57% received endocrine therapy within one year post-diagnosis; 13% were BRCA1/2 pathogenic variant (PV) carriers; 51% reported financial comfort at baseline; 51% were nulligravida and 72% nulliparous at diagnosis; 28% had undergone fertility preservation consisting of egg/embryo freezing at diagnosis; 15% reported a history of infertility before BC diagnosis. Most (73%) reported ≥1 pregnancy after diagnosis and 65% reported ≥1 live birth. Median time from diagnosis to first pregnancy was 48 months (range: 6-125). In the multivariable model, greater age at diagnosis (odds ratio [OR] 0.82 per year increase, 95% CI 0.74-0.90, P<0.0001) was negatively associated with pregnancy, while financial comfort at baseline (OR 2.04, 95% CI 1.01-4.12, P=0.047) was predictive of pregnancy. For live births, greater age at diagnosis was negatively associated (OR 0.82 per year increase, CI 95% 0.76-0.90, P<0.0001) while having undergone fertility preservation at diagnosis was predictive (OR 2.78, 95% CI 1.29-6.00, P=0.009). History of infertility, nulliparity at diagnosis, tumor characteristics, cancer treatment, race, ethnicity, and BRCA1/2 PV status were not associated with either outcome. Conclusions: This is the first prospective study with greater than 10 years of follow-up to report fertility outcomes in young BC survivors accounting for attempting pregnancy. The majority achieved a pregnancy and most reported a live birth. Our findings can be incorporated into the counseling of young BC patients and survivors, and highlight the need for accessibility of fertility preservation services for this population. Clinical trial information: NCT01468246 .

Abstract Objectives Heart failure (HF) impacts millions of patients worldwide, yet the variability in treatment responses remains a major challenge for healthcare professionals. The current treatment strategies, largely derived from population based evidence, often fail to consider the unique characteristics of individual patients, resulting in suboptimal outcomes. This study aims to develop computational models that are patient-specific in predicting treatment outcomes, by utilizing a large Electronic Health Records (EHR) database. The goal is to improve drug response predictions by identifying specific HF patient subgroups that are likely to benefit from existing HF medications. Materials and Methods A novel, graph-based model capable of predicting treatment responses, combining Graph Neural Network and Transformer was developed. This method differs from conventional approaches by transforming a patient's EHR data into a graph structure. By defining patient subgroups based on this representation via K-Means Clustering, we were able to enhance the performance of drug response predictions. Results Leveraging EHR data from 11 627 Mayo Clinic HF patients, our model significantly outperformed traditional models in predicting drug response using NT-proBNP as a HF biomarker across five medication categories (best RMSE of 0.0043). Four distinct patient subgroups were identified with differential characteristics and outcomes, demonstrating superior predictive capabilities over existing HF subtypes (best mean RMSE of 0.0032). Discussion These results highlight the power of graph-based modeling of EHR in improving HF treatment strategies. The stratification of patients sheds light on particular patient segments that could benefit more significantly from tailored response predictions. Conclusions Longitudinal EHR data have the potential to enhance personalized prognostic predictions through the application of graph-based AI techniques.